Clinical Endocrinology News

The incidence of acne in preadolescents was higher in girls than in boys, and was associated with higher body mass index (BMI) percentiles, in a large population-based retrospective study that used age- and sex-matched controls.

The investigators also identified “a potential association” with precocious puberty that they said “should be considered, especially among those presenting [with acne] under 8 or 9 years old.” The study was published in Pediatric Dermatology .

Senior author Megha M. Tollefson, MD, and coauthors used resources of the Rochester Epidemiology Project to identify all residents of Olmstead County, Minn., who were diagnosed with acne between the ages of 7 and 12 years during 2010-2018. They then randomly selected two age and sex-matched community controls in order to evaluate the relationship of preadolescent acne and BMI.

They confirmed 643 acne cases, and calculated an annual age- and sex-adjusted incidence rate for ages 7-12 of 58 per 10,000 person-years (95% confidence interval, 53.5-62.5). The incidence rate was significantly higher in females than males (89.2 vs. 28.2 per 10,000 person-years; P < .001), and it significantly increased with age (incidence rates of 4.3, 24.4, and 144.3 per 10,000 person-years among those ages 7-8, 9-10, and 11-12 years, respectively).

The median BMI percentile among children with acne was significantly higher than those without an acne diagnosis (75.0 vs. 65.0; P <.001). They also were much more likely to be obese: 16.7% of the children with acne had a BMI in at least the 95th percentile, compared with 12.2% among controls with no acne diagnosis (P = .01). (The qualifying 581 acne cases for this analysis had BMIs recorded within 8 months of the index data, in addition to not having pre-existing acne-relevant endocrine disorders.)

“High BMI is a strong risk factor for acne development and severity in adults, but until now pediatric studies have revealed mixed information ... [and have been] largely retrospective reviews without controls,” Dr. Tollefson, professor of pediatrics and dermatology at the Mayo Clinic, Rochester, Minn., and colleagues wrote.


 

‘Valuable’ data

Leah Lalor, MD, a pediatric dermatologist not involved with the research, said she is happy to see it. “It’s really valuable,” she said in an interview. “It’s actually the first study that gives us incidence data for preadolescent acne. We all have [had our estimates], but this study quantifies it ... and it will set the stage for further studies of preadolescents in the future.”

The study also documents that “girls are more likely to present to the clinic with acne, and to do so at younger ages, which we’ve suspected and which makes physiologic sense since girls tend to go through puberty earlier than boys,” said Dr. Lalor, assistant professor of dermatology and pediatrics at the Medical College of Wisconsin and the Children’s Wisconsin Clinics, both in Milwaukee. “And most interestingly, it really reveals that BMI is higher among preadolescents with acne than those without.”

The important caveat, she emphasized, is that the study population in Olmstead County, Minn. has a relatively higher level of education, wealth, and employment than the rest of the United States.

The investigators also found that use of systemic acne medications increased with increasing BMI (odds ratio, 1.43 per 5 kg/m² increase in BMI; 95% CI, 1.07-1.92; P = .015). Approximately 5% of underweight or normal children were prescribed systemic acne medications, compared with 8.1% of overweight children, and 10.3% of those who were obese – data that suggest that most preadolescents with acne had mild to moderate disease and that more severe acne may be associated with increasing BMI percentiles, the authors wrote.

Approximately 4% of the 643 preadolescents with acne were diagnosed with an acne-relevant endocrine disorder prior to or at the time of acne diagnosis – most commonly precocious puberty. Of the 24 diagnoses of precocious puberty, 22 were in females, with a mean age at diagnosis of 7.3 years.

Puberty before age 8 in girls and 9 in boys is classified as precocious puberty. “Thus, a thorough review of systems and exam should be done in this population [with acne] to look for precocious puberty with a low threshold for systemic evaluation if indicated,” the authors wrote, also noting that 19 or the 482 female patients with acne were subsequently diagnosed with polycystic ovary syndrome.

Dr. Lalor said she “automatically” refers children with acne who are younger than 7 for an endocrine workup, but not necessarily children ages 7, 8, or 9 because “that’s considered within the normal realm of starting to get some acne.” Acne in the context of other symptoms such as body odor, hair, or thelarche may prompt referral in these ages, however, she said.
 

Future research

Obesity may influence preadolescent acne development through its effect on puberty, as overweight and obese girls achieve puberty earlier than those with normal BMI. And “insulin resistance, which may be related to obesity, has been implicated with inducing or worsening acne potentially related to shifts in IGF-1 [insulin-like growth factor 1] signaling and hyperandrogenemia,” Dr. Tollefson and colleagues wrote. Nutrition is also a possible confounder in the study.

“Patients and families have long felt that certain foods or practices contribute to acne, though this has been difficult to prove,” Dr. Lalor said. “We know that excess skim milk seems to contribute ... and there’s a correlation between high glycemic load diets [and acne].”

Assessing dietary habits in conjunction with BMI, and acne incidence and severity, would be valuable. So would research to determine “if decreasing the BMI percentile [in children with acne] would improve or prevent acne, without doing any acne treatments,” she said.

The study was supported by the National Institute on Aging and the Rochester Epidemiology Project. The authors reported no conflicts of interest. Dr. Lalor also reported no conflicts of interest.

The incidence of acne in preadolescents was higher in girls than in boys, and was associated with higher body mass index (BMI) percentiles, in a large population-based retrospective study that used age- and sex-matched controls.

The investigators also identified “a potential association” with precocious puberty that they said “should be considered, especially among those presenting [with acne] under 8 or 9 years old.” The study was published in Pediatric Dermatology .

Senior author Megha M. Tollefson, MD, and coauthors used resources of the Rochester Epidemiology Project to identify all residents of Olmstead County, Minn., who were diagnosed with acne between the ages of 7 and 12 years during 2010-2018. They then randomly selected two age and sex-matched community controls in order to evaluate the relationship of preadolescent acne and BMI.

They confirmed 643 acne cases, and calculated an annual age- and sex-adjusted incidence rate for ages 7-12 of 58 per 10,000 person-years (95% confidence interval, 53.5-62.5). The incidence rate was significantly higher in females than males (89.2 vs. 28.2 per 10,000 person-years; P < .001), and it significantly increased with age (incidence rates of 4.3, 24.4, and 144.3 per 10,000 person-years among those ages 7-8, 9-10, and 11-12 years, respectively).

The median BMI percentile among children with acne was significantly higher than those without an acne diagnosis (75.0 vs. 65.0; P <.001). They also were much more likely to be obese: 16.7% of the children with acne had a BMI in at least the 95th percentile, compared with 12.2% among controls with no acne diagnosis (P = .01). (The qualifying 581 acne cases for this analysis had BMIs recorded within 8 months of the index data, in addition to not having pre-existing acne-relevant endocrine disorders.)

“High BMI is a strong risk factor for acne development and severity in adults, but until now pediatric studies have revealed mixed information ... [and have been] largely retrospective reviews without controls,” Dr. Tollefson, professor of pediatrics and dermatology at the Mayo Clinic, Rochester, Minn., and colleagues wrote.


 

‘Valuable’ data

Leah Lalor, MD, a pediatric dermatologist not involved with the research, said she is happy to see it. “It’s really valuable,” she said in an interview. “It’s actually the first study that gives us incidence data for preadolescent acne. We all have [had our estimates], but this study quantifies it ... and it will set the stage for further studies of preadolescents in the future.”

The study also documents that “girls are more likely to present to the clinic with acne, and to do so at younger ages, which we’ve suspected and which makes physiologic sense since girls tend to go through puberty earlier than boys,” said Dr. Lalor, assistant professor of dermatology and pediatrics at the Medical College of Wisconsin and the Children’s Wisconsin Clinics, both in Milwaukee. “And most interestingly, it really reveals that BMI is higher among preadolescents with acne than those without.”

The important caveat, she emphasized, is that the study population in Olmstead County, Minn. has a relatively higher level of education, wealth, and employment than the rest of the United States.

The investigators also found that use of systemic acne medications increased with increasing BMI (odds ratio, 1.43 per 5 kg/m² increase in BMI; 95% CI, 1.07-1.92; P = .015). Approximately 5% of underweight or normal children were prescribed systemic acne medications, compared with 8.1% of overweight children, and 10.3% of those who were obese – data that suggest that most preadolescents with acne had mild to moderate disease and that more severe acne may be associated with increasing BMI percentiles, the authors wrote.

Approximately 4% of the 643 preadolescents with acne were diagnosed with an acne-relevant endocrine disorder prior to or at the time of acne diagnosis – most commonly precocious puberty. Of the 24 diagnoses of precocious puberty, 22 were in females, with a mean age at diagnosis of 7.3 years.

Puberty before age 8 in girls and 9 in boys is classified as precocious puberty. “Thus, a thorough review of systems and exam should be done in this population [with acne] to look for precocious puberty with a low threshold for systemic evaluation if indicated,” the authors wrote, also noting that 19 or the 482 female patients with acne were subsequently diagnosed with polycystic ovary syndrome.

Dr. Lalor said she “automatically” refers children with acne who are younger than 7 for an endocrine workup, but not necessarily children ages 7, 8, or 9 because “that’s considered within the normal realm of starting to get some acne.” Acne in the context of other symptoms such as body odor, hair, or thelarche may prompt referral in these ages, however, she said.
 

Future research

Obesity may influence preadolescent acne development through its effect on puberty, as overweight and obese girls achieve puberty earlier than those with normal BMI. And “insulin resistance, which may be related to obesity, has been implicated with inducing or worsening acne potentially related to shifts in IGF-1 [insulin-like growth factor 1] signaling and hyperandrogenemia,” Dr. Tollefson and colleagues wrote. Nutrition is also a possible confounder in the study.

“Patients and families have long felt that certain foods or practices contribute to acne, though this has been difficult to prove,” Dr. Lalor said. “We know that excess skim milk seems to contribute ... and there’s a correlation between high glycemic load diets [and acne].”

Assessing dietary habits in conjunction with BMI, and acne incidence and severity, would be valuable. So would research to determine “if decreasing the BMI percentile [in children with acne] would improve or prevent acne, without doing any acne treatments,” she said.

The study was supported by the National Institute on Aging and the Rochester Epidemiology Project. The authors reported no conflicts of interest. Dr. Lalor also reported no conflicts of interest.

The incidence of acne in preadolescents was higher in girls than in boys, and was associated with higher body mass index (BMI) percentiles, in a large population-based retrospective study that used age- and sex-matched controls.

The investigators also identified “a potential association” with precocious puberty that they said “should be considered, especially among those presenting [with acne] under 8 or 9 years old.” The study was published in Pediatric Dermatology .

Senior author Megha M. Tollefson, MD, and coauthors used resources of the Rochester Epidemiology Project to identify all residents of Olmstead County, Minn., who were diagnosed with acne between the ages of 7 and 12 years during 2010-2018. They then randomly selected two age and sex-matched community controls in order to evaluate the relationship of preadolescent acne and BMI.

They confirmed 643 acne cases, and calculated an annual age- and sex-adjusted incidence rate for ages 7-12 of 58 per 10,000 person-years (95% confidence interval, 53.5-62.5). The incidence rate was significantly higher in females than males (89.2 vs. 28.2 per 10,000 person-years; P < .001), and it significantly increased with age (incidence rates of 4.3, 24.4, and 144.3 per 10,000 person-years among those ages 7-8, 9-10, and 11-12 years, respectively).

The median BMI percentile among children with acne was significantly higher than those without an acne diagnosis (75.0 vs. 65.0; P <.001). They also were much more likely to be obese: 16.7% of the children with acne had a BMI in at least the 95th percentile, compared with 12.2% among controls with no acne diagnosis (P = .01). (The qualifying 581 acne cases for this analysis had BMIs recorded within 8 months of the index data, in addition to not having pre-existing acne-relevant endocrine disorders.)

“High BMI is a strong risk factor for acne development and severity in adults, but until now pediatric studies have revealed mixed information ... [and have been] largely retrospective reviews without controls,” Dr. Tollefson, professor of pediatrics and dermatology at the Mayo Clinic, Rochester, Minn., and colleagues wrote.


 

‘Valuable’ data

Leah Lalor, MD, a pediatric dermatologist not involved with the research, said she is happy to see it. “It’s really valuable,” she said in an interview. “It’s actually the first study that gives us incidence data for preadolescent acne. We all have [had our estimates], but this study quantifies it ... and it will set the stage for further studies of preadolescents in the future.”

The study also documents that “girls are more likely to present to the clinic with acne, and to do so at younger ages, which we’ve suspected and which makes physiologic sense since girls tend to go through puberty earlier than boys,” said Dr. Lalor, assistant professor of dermatology and pediatrics at the Medical College of Wisconsin and the Children’s Wisconsin Clinics, both in Milwaukee. “And most interestingly, it really reveals that BMI is higher among preadolescents with acne than those without.”

The important caveat, she emphasized, is that the study population in Olmstead County, Minn. has a relatively higher level of education, wealth, and employment than the rest of the United States.

The investigators also found that use of systemic acne medications increased with increasing BMI (odds ratio, 1.43 per 5 kg/m² increase in BMI; 95% CI, 1.07-1.92; P = .015). Approximately 5% of underweight or normal children were prescribed systemic acne medications, compared with 8.1% of overweight children, and 10.3% of those who were obese – data that suggest that most preadolescents with acne had mild to moderate disease and that more severe acne may be associated with increasing BMI percentiles, the authors wrote.

Approximately 4% of the 643 preadolescents with acne were diagnosed with an acne-relevant endocrine disorder prior to or at the time of acne diagnosis – most commonly precocious puberty. Of the 24 diagnoses of precocious puberty, 22 were in females, with a mean age at diagnosis of 7.3 years.

Puberty before age 8 in girls and 9 in boys is classified as precocious puberty. “Thus, a thorough review of systems and exam should be done in this population [with acne] to look for precocious puberty with a low threshold for systemic evaluation if indicated,” the authors wrote, also noting that 19 or the 482 female patients with acne were subsequently diagnosed with polycystic ovary syndrome.

Dr. Lalor said she “automatically” refers children with acne who are younger than 7 for an endocrine workup, but not necessarily children ages 7, 8, or 9 because “that’s considered within the normal realm of starting to get some acne.” Acne in the context of other symptoms such as body odor, hair, or thelarche may prompt referral in these ages, however, she said.
 

Future research

Obesity may influence preadolescent acne development through its effect on puberty, as overweight and obese girls achieve puberty earlier than those with normal BMI. And “insulin resistance, which may be related to obesity, has been implicated with inducing or worsening acne potentially related to shifts in IGF-1 [insulin-like growth factor 1] signaling and hyperandrogenemia,” Dr. Tollefson and colleagues wrote. Nutrition is also a possible confounder in the study.

“Patients and families have long felt that certain foods or practices contribute to acne, though this has been difficult to prove,” Dr. Lalor said. “We know that excess skim milk seems to contribute ... and there’s a correlation between high glycemic load diets [and acne].”

Assessing dietary habits in conjunction with BMI, and acne incidence and severity, would be valuable. So would research to determine “if decreasing the BMI percentile [in children with acne] would improve or prevent acne, without doing any acne treatments,” she said.

The study was supported by the National Institute on Aging and the Rochester Epidemiology Project. The authors reported no conflicts of interest. Dr. Lalor also reported no conflicts of interest.

Is the ketogenic diet the only way to lose weight? Of course not! Keep track of calories in vs. calories out and almost anyone can lose weight. The problem is keeping it off. To understand that, we need to look at metabolic adaptation and the biology of obesity.

Our bodies have a “set point” that is epigenetically latched onto the environment the brain senses, just as the fetal environment responds to the maternal environment.

Thomas R. Collins/MDedge News

If food is plentiful, our hormones force us to eat until our bodies feel that there are enough fat stores to survive. Because of environmental influences such as highly processed food, preservatives, climate change, and regulation of temperature, our brains have decided that we need more adipose tissue than we did 50-100 years ago. It could be that an element in food has caused a dysfunction of the pathways that regulate our body weight, and most of us “defend” a higher body weight in this environment.

How to counteract that? Not easily. The ketogenic diet works temporarily just like any other diet where calorie intake is lower than usual. It seems to be agreeable to many people because they say they feel full after eating protein, fat, and perhaps some vegetables. Protein and fat are certainly more satiating than simple carbohydrates.

If strictly followed, a ketogenic diet will force the body to burn fat and go into ketosis. Without a source for glucose, the brain will burn ketones from fat stores. Owen and colleagues discovered this in 1969 when they did their now-famous studies of fasting in inpatients at Brigham and Women’s hospital, using IV amino acids to protect muscle mass.
 

Keto for life?

Is the ketogenic diet a healthy diet for the long term? That is a different question.

Of course not – we need high-fiber carbohydrate sources such as whole grains, fruits, and vegetables to keep the colon healthy and obtain the vitamins and minerals needed to make the Krebs cycle, or citric acid cycle, work at its best.

Why, then, are we promoting ketogenic diets for those with obesity and type 2 diabetes? Ketogenic or low-carbohydrate diets are easy to teach and can rapidly help patients lose weight and return their blood glucose, blood pressure, and other metabolic parameters to normal.

The patient will be instructed to avoid all highly processed foods. Studies have shown that highly processed foods, created to maximize flavor, “coerce” people to eat more calories than when presented with the same number of calories in unprocessed foods, a way to fool the brain.
 

Why are we fooling the brain?

We circumvent the natural satiety mechanisms that start with the gut. When we eat, our gastric fundus and intestinal stretch receptors start the process that informs the hypothalamus about food intake. Highly processed foods are usually devoid of fiber and volume, and pack in the calories in small volumes so that the stretch receptors are not activated until more calories are ingested. The study mentioned above developed two ad lib diets with the same number of calories, sugar, fat, and carbohydrate content – one ultraprocessed and the other unprocessed.

That explanation is just the tip of the iceberg, because a lot more than primitive stretch receptors is informing the brain. There are gut hormones that are secreted before and after meals, such as ghrelin, glucagon-like peptide 1 (GLP-1), glucose-dependent insulinotropic polypeptide (GIP), and cholecystokinin (CCK), among a slew of others. These peptide hormones are all secreted from gut cells into the blood or vagus nerve, or both, and alert the brain that there is or is not enough food to maintain body weight at its set point.

It’s a highly regulated and precise system that regulates body weight for survival of the species in this environment. However, the environment has changed over the past 100 years but our genetic makeup for survival of the fittest has not. The mechanism of action for defense of a higher body weight set point in this new environment has not been elucidated as yet. Most likely, there are many players or instigators involved, such as food-supply changes, sedentary lifestyle, ambient temperature, fetal programming, air quality, and global warming and climate change, to name a few.

The goal of obesity researchers is to investigate the underlying mechanisms of the increased prevalence of obesity over the past 100 years. The goal of obesity medicine specialists is to treat obesity in adults and children, and to prevent obesity as much as possible with lifestyle change and medications that have been shown to help “reverse” the metabolic adaptation to this environment. Our newest GLP-1/GIP receptor agonists have been shown in animal models to hit several pathways that lead to obesity. They are not just appetite suppressants. Yes, they do modulate appetite and satiety, but they also affect energy expenditure. The body’s normal reaction to a lack of calorie intake is to reduce resting energy expenditure until body weight increases back to “set point levels.” These agonists prevent that metabolic adaptation. That is why they are true agents that can treat obesity – the disease.

Back to the ketogenic diet. The ketogenic diet can fool the brain temporarily by using protein and fat to elicit satiety with less food intake in calories. After a while, however, gut hormones and other factors begin to counteract the weight loss with a reduction in resting energy and total energy expenditure, and other metabolic measures, to get the body back to a certain body weight set point.

The ketogenic diet also can help dieters avoid ultra- and highly processed foods. In the end, any type of diet that lowers caloric intake will work for weight loss, but it’s the maintenance of that weight loss that makes a long-term difference, and that involves closing the metabolic gap that the body generates to defend fat mass. Understanding this pathophysiology will allow obesity medicine specialists to assist patients with obesity to lose weight and keep it off.

Dr. Apovian is in the department of medicine, division of endocrinology, diabetes, and hypertension, and codirector, Center for Weight Management and Wellness, Harvard Medical School, Boston. She disclosed ties with Altimmune, Cowen and Company, Currax Pharmaceuticals, EPG Communication Holdings, Gelesis Srl, L-Nutra, NeuroBo Pharmaceuticals, National Institutes of Health, Patient-Centered Outcomes Research Institute, GI Dynamics, and Novo Nordisk. A version of this article first appeared on Medscape.com.

Is the ketogenic diet the only way to lose weight? Of course not! Keep track of calories in vs. calories out and almost anyone can lose weight. The problem is keeping it off. To understand that, we need to look at metabolic adaptation and the biology of obesity.

Our bodies have a “set point” that is epigenetically latched onto the environment the brain senses, just as the fetal environment responds to the maternal environment.

Thomas R. Collins/MDedge News

If food is plentiful, our hormones force us to eat until our bodies feel that there are enough fat stores to survive. Because of environmental influences such as highly processed food, preservatives, climate change, and regulation of temperature, our brains have decided that we need more adipose tissue than we did 50-100 years ago. It could be that an element in food has caused a dysfunction of the pathways that regulate our body weight, and most of us “defend” a higher body weight in this environment.

How to counteract that? Not easily. The ketogenic diet works temporarily just like any other diet where calorie intake is lower than usual. It seems to be agreeable to many people because they say they feel full after eating protein, fat, and perhaps some vegetables. Protein and fat are certainly more satiating than simple carbohydrates.

If strictly followed, a ketogenic diet will force the body to burn fat and go into ketosis. Without a source for glucose, the brain will burn ketones from fat stores. Owen and colleagues discovered this in 1969 when they did their now-famous studies of fasting in inpatients at Brigham and Women’s hospital, using IV amino acids to protect muscle mass.
 

Keto for life?

Is the ketogenic diet a healthy diet for the long term? That is a different question.

Of course not – we need high-fiber carbohydrate sources such as whole grains, fruits, and vegetables to keep the colon healthy and obtain the vitamins and minerals needed to make the Krebs cycle, or citric acid cycle, work at its best.

Why, then, are we promoting ketogenic diets for those with obesity and type 2 diabetes? Ketogenic or low-carbohydrate diets are easy to teach and can rapidly help patients lose weight and return their blood glucose, blood pressure, and other metabolic parameters to normal.

The patient will be instructed to avoid all highly processed foods. Studies have shown that highly processed foods, created to maximize flavor, “coerce” people to eat more calories than when presented with the same number of calories in unprocessed foods, a way to fool the brain.
 

Why are we fooling the brain?

We circumvent the natural satiety mechanisms that start with the gut. When we eat, our gastric fundus and intestinal stretch receptors start the process that informs the hypothalamus about food intake. Highly processed foods are usually devoid of fiber and volume, and pack in the calories in small volumes so that the stretch receptors are not activated until more calories are ingested. The study mentioned above developed two ad lib diets with the same number of calories, sugar, fat, and carbohydrate content – one ultraprocessed and the other unprocessed.

That explanation is just the tip of the iceberg, because a lot more than primitive stretch receptors is informing the brain. There are gut hormones that are secreted before and after meals, such as ghrelin, glucagon-like peptide 1 (GLP-1), glucose-dependent insulinotropic polypeptide (GIP), and cholecystokinin (CCK), among a slew of others. These peptide hormones are all secreted from gut cells into the blood or vagus nerve, or both, and alert the brain that there is or is not enough food to maintain body weight at its set point.

It’s a highly regulated and precise system that regulates body weight for survival of the species in this environment. However, the environment has changed over the past 100 years but our genetic makeup for survival of the fittest has not. The mechanism of action for defense of a higher body weight set point in this new environment has not been elucidated as yet. Most likely, there are many players or instigators involved, such as food-supply changes, sedentary lifestyle, ambient temperature, fetal programming, air quality, and global warming and climate change, to name a few.

The goal of obesity researchers is to investigate the underlying mechanisms of the increased prevalence of obesity over the past 100 years. The goal of obesity medicine specialists is to treat obesity in adults and children, and to prevent obesity as much as possible with lifestyle change and medications that have been shown to help “reverse” the metabolic adaptation to this environment. Our newest GLP-1/GIP receptor agonists have been shown in animal models to hit several pathways that lead to obesity. They are not just appetite suppressants. Yes, they do modulate appetite and satiety, but they also affect energy expenditure. The body’s normal reaction to a lack of calorie intake is to reduce resting energy expenditure until body weight increases back to “set point levels.” These agonists prevent that metabolic adaptation. That is why they are true agents that can treat obesity – the disease.

Back to the ketogenic diet. The ketogenic diet can fool the brain temporarily by using protein and fat to elicit satiety with less food intake in calories. After a while, however, gut hormones and other factors begin to counteract the weight loss with a reduction in resting energy and total energy expenditure, and other metabolic measures, to get the body back to a certain body weight set point.

The ketogenic diet also can help dieters avoid ultra- and highly processed foods. In the end, any type of diet that lowers caloric intake will work for weight loss, but it’s the maintenance of that weight loss that makes a long-term difference, and that involves closing the metabolic gap that the body generates to defend fat mass. Understanding this pathophysiology will allow obesity medicine specialists to assist patients with obesity to lose weight and keep it off.

Dr. Apovian is in the department of medicine, division of endocrinology, diabetes, and hypertension, and codirector, Center for Weight Management and Wellness, Harvard Medical School, Boston. She disclosed ties with Altimmune, Cowen and Company, Currax Pharmaceuticals, EPG Communication Holdings, Gelesis Srl, L-Nutra, NeuroBo Pharmaceuticals, National Institutes of Health, Patient-Centered Outcomes Research Institute, GI Dynamics, and Novo Nordisk. A version of this article first appeared on Medscape.com.

Is the ketogenic diet the only way to lose weight? Of course not! Keep track of calories in vs. calories out and almost anyone can lose weight. The problem is keeping it off. To understand that, we need to look at metabolic adaptation and the biology of obesity.

Our bodies have a “set point” that is epigenetically latched onto the environment the brain senses, just as the fetal environment responds to the maternal environment.

Thomas R. Collins/MDedge News

If food is plentiful, our hormones force us to eat until our bodies feel that there are enough fat stores to survive. Because of environmental influences such as highly processed food, preservatives, climate change, and regulation of temperature, our brains have decided that we need more adipose tissue than we did 50-100 years ago. It could be that an element in food has caused a dysfunction of the pathways that regulate our body weight, and most of us “defend” a higher body weight in this environment.

How to counteract that? Not easily. The ketogenic diet works temporarily just like any other diet where calorie intake is lower than usual. It seems to be agreeable to many people because they say they feel full after eating protein, fat, and perhaps some vegetables. Protein and fat are certainly more satiating than simple carbohydrates.

If strictly followed, a ketogenic diet will force the body to burn fat and go into ketosis. Without a source for glucose, the brain will burn ketones from fat stores. Owen and colleagues discovered this in 1969 when they did their now-famous studies of fasting in inpatients at Brigham and Women’s hospital, using IV amino acids to protect muscle mass.
 

Keto for life?

Is the ketogenic diet a healthy diet for the long term? That is a different question.

Of course not – we need high-fiber carbohydrate sources such as whole grains, fruits, and vegetables to keep the colon healthy and obtain the vitamins and minerals needed to make the Krebs cycle, or citric acid cycle, work at its best.

Why, then, are we promoting ketogenic diets for those with obesity and type 2 diabetes? Ketogenic or low-carbohydrate diets are easy to teach and can rapidly help patients lose weight and return their blood glucose, blood pressure, and other metabolic parameters to normal.

The patient will be instructed to avoid all highly processed foods. Studies have shown that highly processed foods, created to maximize flavor, “coerce” people to eat more calories than when presented with the same number of calories in unprocessed foods, a way to fool the brain.
 

Why are we fooling the brain?

We circumvent the natural satiety mechanisms that start with the gut. When we eat, our gastric fundus and intestinal stretch receptors start the process that informs the hypothalamus about food intake. Highly processed foods are usually devoid of fiber and volume, and pack in the calories in small volumes so that the stretch receptors are not activated until more calories are ingested. The study mentioned above developed two ad lib diets with the same number of calories, sugar, fat, and carbohydrate content – one ultraprocessed and the other unprocessed.

That explanation is just the tip of the iceberg, because a lot more than primitive stretch receptors is informing the brain. There are gut hormones that are secreted before and after meals, such as ghrelin, glucagon-like peptide 1 (GLP-1), glucose-dependent insulinotropic polypeptide (GIP), and cholecystokinin (CCK), among a slew of others. These peptide hormones are all secreted from gut cells into the blood or vagus nerve, or both, and alert the brain that there is or is not enough food to maintain body weight at its set point.

It’s a highly regulated and precise system that regulates body weight for survival of the species in this environment. However, the environment has changed over the past 100 years but our genetic makeup for survival of the fittest has not. The mechanism of action for defense of a higher body weight set point in this new environment has not been elucidated as yet. Most likely, there are many players or instigators involved, such as food-supply changes, sedentary lifestyle, ambient temperature, fetal programming, air quality, and global warming and climate change, to name a few.

The goal of obesity researchers is to investigate the underlying mechanisms of the increased prevalence of obesity over the past 100 years. The goal of obesity medicine specialists is to treat obesity in adults and children, and to prevent obesity as much as possible with lifestyle change and medications that have been shown to help “reverse” the metabolic adaptation to this environment. Our newest GLP-1/GIP receptor agonists have been shown in animal models to hit several pathways that lead to obesity. They are not just appetite suppressants. Yes, they do modulate appetite and satiety, but they also affect energy expenditure. The body’s normal reaction to a lack of calorie intake is to reduce resting energy expenditure until body weight increases back to “set point levels.” These agonists prevent that metabolic adaptation. That is why they are true agents that can treat obesity – the disease.

Back to the ketogenic diet. The ketogenic diet can fool the brain temporarily by using protein and fat to elicit satiety with less food intake in calories. After a while, however, gut hormones and other factors begin to counteract the weight loss with a reduction in resting energy and total energy expenditure, and other metabolic measures, to get the body back to a certain body weight set point.

The ketogenic diet also can help dieters avoid ultra- and highly processed foods. In the end, any type of diet that lowers caloric intake will work for weight loss, but it’s the maintenance of that weight loss that makes a long-term difference, and that involves closing the metabolic gap that the body generates to defend fat mass. Understanding this pathophysiology will allow obesity medicine specialists to assist patients with obesity to lose weight and keep it off.

Dr. Apovian is in the department of medicine, division of endocrinology, diabetes, and hypertension, and codirector, Center for Weight Management and Wellness, Harvard Medical School, Boston. She disclosed ties with Altimmune, Cowen and Company, Currax Pharmaceuticals, EPG Communication Holdings, Gelesis Srl, L-Nutra, NeuroBo Pharmaceuticals, National Institutes of Health, Patient-Centered Outcomes Research Institute, GI Dynamics, and Novo Nordisk. A version of this article first appeared on Medscape.com.

Adults with mainly type 2 diabetes had gaps in the use of medications for managing blood glucose, hypertension, and lipids, in an analysis of nationally representative U.S. survey data.

A mean of 19.5%, 17.1%, and 43.3% of survey participants had inconsistent use of glucose-, BP-, or lipid-lowering medications, respectively, over 2 years in a series of successive 2-year surveys in 2005-2019.

A new group of participants was enrolled for each successive 2-year survey.

“We found persistent and sometimes increasing gaps in continuity of use of these [glycemia, hypertension, and lipid] treatments at the national level,” the researchers wrote.

Moreover, “this outcome was found despite long-lasting guidelines that generally recommend medications as an ongoing part of therapy for adults with type 2 diabetes to reduce macrovascular and microvascular disease risk,” they stressed.

The data did not distinguish between type 1 and type 2 diabetes, but more than 90% of diabetes diagnoses in the United States are type 2 diabetes, the researchers noted.

Therefore, it is “correct, our findings primarily reflect type 2 diabetes,” lead author Puneet Kaur Chehal, PhD, assistant professor, Emory University, Atlanta, clarified in an email.

“The clinical guidelines for treatment of type 1 diabetes are distinct,” she added, so “it is difficult to draw any conclusions from our study for this population.”

“To observe national trends in continuous use decrease at the same time that diabetes complications are increasing and physicians are guided to shift away from treat-to-target and towards individual patient needs certainly caught our attention,” she said.

“Our findings highlight the need for additional research to understand what is going on here,” according to Dr. Chehal.

“We did not observe levels of glucose (or blood pressure and lipids) to explore if the decrease in glucose-lowering drugs was warranted,” she added. “Our evidence of differences in continuity in use across subgroups (by race/ethnicity, payer, and age) does warrant further analysis of whether the decreasing trends we observe are lapses in access or deliberate changes in treatment.”

The study was published online in JAMA Network Open.
 

Investigating trends in medication adherence

Type 2 diabetes is a chronic condition and medications to control blood glucose, BP, and lipids lower the risk of diabetes-associated complications, Dr. Chehal and colleagues wrote.  

After years of improvement, these cardiometabolic parameters plateaued and even decreased in 2013-2021, in parallel with increasing rates of diabetes complications, especially in younger adults, certain ethnic minority groups, and people with increased risks.

Suboptimal medication adherence among people with type 2 diabetes is associated with preventable complications and onset of heart disease, kidney disease, or diabetic neuropathy, which can lead to amputation.

However, previous studies of medication adherence were typically limited to patients covered by Medicare or commercial insurance, or studies only had 1-year follow-up.

Therefore, the researchers performed a cross-sectional analysis of a series of 2-year data from the Medical Expenditure Panel Survey (MEPS), in which participants reply to five interviews in 2 years and new participants are selected each year.

The researchers analyzed data from 15,237 adults aged 18 and older with type 2 diabetes who participated in 1 of 14 2-year MEPS survey panels in 2005-2019.

About half of participants (47.4%) were age 45-64 and about half (54.2%) were women. They were also racially diverse (43% non-Latino White, 25% Latino, and 24% non-Latino Black).

Participants were classified as having “inconsistent use” of glucose-lowering medication, for example, if they did not fill at least one prescription for a glucose-lowering drug in each of the 2 years.

“As long as [the medication] was some type of glucose-, blood pressure–, or lipid-lowering medication and was filled, it counted as continued use for that category,” Dr. Chehal explained.

They are preparing another paper that explores changes in medication regimens.

The current study showed continued use of glucose-lowering medication in both years decreased from 84.5% in 2005-2006 to 77.4% in 2018-2019, no use of glucose-lowering medication in either of the 2 years increased from 8.1% in 2005-2006 to 12.9% in 2018-2019, inconsistent use of glucose-lowering medication increased from 3.3% in 2005-2006 to 7.1% in 2018-2019, and new use of glucose-lowering medications in year 2 fluctuated between 2% and 4% across panels.

It also showed inconsistent use of BP-lowering medication increased from 3.9% in 2005-2006 to 9.0% in 2016-2017 and inconsistent use of lipid-lowering medication increased to a high of 9.9% in 2017-2018.

Younger and Black participants were less likely to consistently use glucose-lowering medication, Latino patients were less likely to consistently use BP-lowering medications, and Black and Latino patients were less likely to continuously use lipid-lowering medications. Uninsured adults were more likely to use no medications or use medications inconsistently.

“Changes and inconsistencies in payer formularies and out-of-pocket cost burden, especially among adults with no or insufficient insurance (i.e., Medicare Part D), remain prominent issues,” according to Dr. Chehal and colleagues.

“Decreases in continuity in use of glucose-lowering medications in recent panels may explain worsening diabetes complications,” they wrote.

This may be partly caused by recommended decreases in sulfonylurea and thiazolidinedione use and increased prescribing of new and more cost-prohibitive medications, they suggested.

Or this may be caused by the shift away from treating aggressively until a target is achieved toward individualizing treatment based on a patient’s age, phenotype, or comorbidities (for example, kidney disease).

The study was supported by a grant from MSD, a subsidiary of Merck, to Emory University. Some of the researchers received grants from Merck for the submitted work or were partially supported by a grant from the National Institute of Diabetes and Digestive and Kidney Diseases of the National Institutes of Health to the Georgia Center for Diabetes Translation Research. Dr. Chehal reported no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

Adults with mainly type 2 diabetes had gaps in the use of medications for managing blood glucose, hypertension, and lipids, in an analysis of nationally representative U.S. survey data.

A mean of 19.5%, 17.1%, and 43.3% of survey participants had inconsistent use of glucose-, BP-, or lipid-lowering medications, respectively, over 2 years in a series of successive 2-year surveys in 2005-2019.

A new group of participants was enrolled for each successive 2-year survey.

“We found persistent and sometimes increasing gaps in continuity of use of these [glycemia, hypertension, and lipid] treatments at the national level,” the researchers wrote.

Moreover, “this outcome was found despite long-lasting guidelines that generally recommend medications as an ongoing part of therapy for adults with type 2 diabetes to reduce macrovascular and microvascular disease risk,” they stressed.

The data did not distinguish between type 1 and type 2 diabetes, but more than 90% of diabetes diagnoses in the United States are type 2 diabetes, the researchers noted.

Therefore, it is “correct, our findings primarily reflect type 2 diabetes,” lead author Puneet Kaur Chehal, PhD, assistant professor, Emory University, Atlanta, clarified in an email.

“The clinical guidelines for treatment of type 1 diabetes are distinct,” she added, so “it is difficult to draw any conclusions from our study for this population.”

“To observe national trends in continuous use decrease at the same time that diabetes complications are increasing and physicians are guided to shift away from treat-to-target and towards individual patient needs certainly caught our attention,” she said.

“Our findings highlight the need for additional research to understand what is going on here,” according to Dr. Chehal.

“We did not observe levels of glucose (or blood pressure and lipids) to explore if the decrease in glucose-lowering drugs was warranted,” she added. “Our evidence of differences in continuity in use across subgroups (by race/ethnicity, payer, and age) does warrant further analysis of whether the decreasing trends we observe are lapses in access or deliberate changes in treatment.”

The study was published online in JAMA Network Open.
 

Investigating trends in medication adherence

Type 2 diabetes is a chronic condition and medications to control blood glucose, BP, and lipids lower the risk of diabetes-associated complications, Dr. Chehal and colleagues wrote.  

After years of improvement, these cardiometabolic parameters plateaued and even decreased in 2013-2021, in parallel with increasing rates of diabetes complications, especially in younger adults, certain ethnic minority groups, and people with increased risks.

Suboptimal medication adherence among people with type 2 diabetes is associated with preventable complications and onset of heart disease, kidney disease, or diabetic neuropathy, which can lead to amputation.

However, previous studies of medication adherence were typically limited to patients covered by Medicare or commercial insurance, or studies only had 1-year follow-up.

Therefore, the researchers performed a cross-sectional analysis of a series of 2-year data from the Medical Expenditure Panel Survey (MEPS), in which participants reply to five interviews in 2 years and new participants are selected each year.

The researchers analyzed data from 15,237 adults aged 18 and older with type 2 diabetes who participated in 1 of 14 2-year MEPS survey panels in 2005-2019.

About half of participants (47.4%) were age 45-64 and about half (54.2%) were women. They were also racially diverse (43% non-Latino White, 25% Latino, and 24% non-Latino Black).

Participants were classified as having “inconsistent use” of glucose-lowering medication, for example, if they did not fill at least one prescription for a glucose-lowering drug in each of the 2 years.

“As long as [the medication] was some type of glucose-, blood pressure–, or lipid-lowering medication and was filled, it counted as continued use for that category,” Dr. Chehal explained.

They are preparing another paper that explores changes in medication regimens.

The current study showed continued use of glucose-lowering medication in both years decreased from 84.5% in 2005-2006 to 77.4% in 2018-2019, no use of glucose-lowering medication in either of the 2 years increased from 8.1% in 2005-2006 to 12.9% in 2018-2019, inconsistent use of glucose-lowering medication increased from 3.3% in 2005-2006 to 7.1% in 2018-2019, and new use of glucose-lowering medications in year 2 fluctuated between 2% and 4% across panels.

It also showed inconsistent use of BP-lowering medication increased from 3.9% in 2005-2006 to 9.0% in 2016-2017 and inconsistent use of lipid-lowering medication increased to a high of 9.9% in 2017-2018.

Younger and Black participants were less likely to consistently use glucose-lowering medication, Latino patients were less likely to consistently use BP-lowering medications, and Black and Latino patients were less likely to continuously use lipid-lowering medications. Uninsured adults were more likely to use no medications or use medications inconsistently.

“Changes and inconsistencies in payer formularies and out-of-pocket cost burden, especially among adults with no or insufficient insurance (i.e., Medicare Part D), remain prominent issues,” according to Dr. Chehal and colleagues.

“Decreases in continuity in use of glucose-lowering medications in recent panels may explain worsening diabetes complications,” they wrote.

This may be partly caused by recommended decreases in sulfonylurea and thiazolidinedione use and increased prescribing of new and more cost-prohibitive medications, they suggested.

Or this may be caused by the shift away from treating aggressively until a target is achieved toward individualizing treatment based on a patient’s age, phenotype, or comorbidities (for example, kidney disease).

The study was supported by a grant from MSD, a subsidiary of Merck, to Emory University. Some of the researchers received grants from Merck for the submitted work or were partially supported by a grant from the National Institute of Diabetes and Digestive and Kidney Diseases of the National Institutes of Health to the Georgia Center for Diabetes Translation Research. Dr. Chehal reported no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

Adults with mainly type 2 diabetes had gaps in the use of medications for managing blood glucose, hypertension, and lipids, in an analysis of nationally representative U.S. survey data.

A mean of 19.5%, 17.1%, and 43.3% of survey participants had inconsistent use of glucose-, BP-, or lipid-lowering medications, respectively, over 2 years in a series of successive 2-year surveys in 2005-2019.

A new group of participants was enrolled for each successive 2-year survey.

“We found persistent and sometimes increasing gaps in continuity of use of these [glycemia, hypertension, and lipid] treatments at the national level,” the researchers wrote.

Moreover, “this outcome was found despite long-lasting guidelines that generally recommend medications as an ongoing part of therapy for adults with type 2 diabetes to reduce macrovascular and microvascular disease risk,” they stressed.

The data did not distinguish between type 1 and type 2 diabetes, but more than 90% of diabetes diagnoses in the United States are type 2 diabetes, the researchers noted.

Therefore, it is “correct, our findings primarily reflect type 2 diabetes,” lead author Puneet Kaur Chehal, PhD, assistant professor, Emory University, Atlanta, clarified in an email.

“The clinical guidelines for treatment of type 1 diabetes are distinct,” she added, so “it is difficult to draw any conclusions from our study for this population.”

“To observe national trends in continuous use decrease at the same time that diabetes complications are increasing and physicians are guided to shift away from treat-to-target and towards individual patient needs certainly caught our attention,” she said.

“Our findings highlight the need for additional research to understand what is going on here,” according to Dr. Chehal.

“We did not observe levels of glucose (or blood pressure and lipids) to explore if the decrease in glucose-lowering drugs was warranted,” she added. “Our evidence of differences in continuity in use across subgroups (by race/ethnicity, payer, and age) does warrant further analysis of whether the decreasing trends we observe are lapses in access or deliberate changes in treatment.”

The study was published online in JAMA Network Open.
 

Investigating trends in medication adherence

Type 2 diabetes is a chronic condition and medications to control blood glucose, BP, and lipids lower the risk of diabetes-associated complications, Dr. Chehal and colleagues wrote.  

After years of improvement, these cardiometabolic parameters plateaued and even decreased in 2013-2021, in parallel with increasing rates of diabetes complications, especially in younger adults, certain ethnic minority groups, and people with increased risks.

Suboptimal medication adherence among people with type 2 diabetes is associated with preventable complications and onset of heart disease, kidney disease, or diabetic neuropathy, which can lead to amputation.

However, previous studies of medication adherence were typically limited to patients covered by Medicare or commercial insurance, or studies only had 1-year follow-up.

Therefore, the researchers performed a cross-sectional analysis of a series of 2-year data from the Medical Expenditure Panel Survey (MEPS), in which participants reply to five interviews in 2 years and new participants are selected each year.

The researchers analyzed data from 15,237 adults aged 18 and older with type 2 diabetes who participated in 1 of 14 2-year MEPS survey panels in 2005-2019.

About half of participants (47.4%) were age 45-64 and about half (54.2%) were women. They were also racially diverse (43% non-Latino White, 25% Latino, and 24% non-Latino Black).

Participants were classified as having “inconsistent use” of glucose-lowering medication, for example, if they did not fill at least one prescription for a glucose-lowering drug in each of the 2 years.

“As long as [the medication] was some type of glucose-, blood pressure–, or lipid-lowering medication and was filled, it counted as continued use for that category,” Dr. Chehal explained.

They are preparing another paper that explores changes in medication regimens.

The current study showed continued use of glucose-lowering medication in both years decreased from 84.5% in 2005-2006 to 77.4% in 2018-2019, no use of glucose-lowering medication in either of the 2 years increased from 8.1% in 2005-2006 to 12.9% in 2018-2019, inconsistent use of glucose-lowering medication increased from 3.3% in 2005-2006 to 7.1% in 2018-2019, and new use of glucose-lowering medications in year 2 fluctuated between 2% and 4% across panels.

It also showed inconsistent use of BP-lowering medication increased from 3.9% in 2005-2006 to 9.0% in 2016-2017 and inconsistent use of lipid-lowering medication increased to a high of 9.9% in 2017-2018.

Younger and Black participants were less likely to consistently use glucose-lowering medication, Latino patients were less likely to consistently use BP-lowering medications, and Black and Latino patients were less likely to continuously use lipid-lowering medications. Uninsured adults were more likely to use no medications or use medications inconsistently.

“Changes and inconsistencies in payer formularies and out-of-pocket cost burden, especially among adults with no or insufficient insurance (i.e., Medicare Part D), remain prominent issues,” according to Dr. Chehal and colleagues.

“Decreases in continuity in use of glucose-lowering medications in recent panels may explain worsening diabetes complications,” they wrote.

This may be partly caused by recommended decreases in sulfonylurea and thiazolidinedione use and increased prescribing of new and more cost-prohibitive medications, they suggested.

Or this may be caused by the shift away from treating aggressively until a target is achieved toward individualizing treatment based on a patient’s age, phenotype, or comorbidities (for example, kidney disease).

The study was supported by a grant from MSD, a subsidiary of Merck, to Emory University. Some of the researchers received grants from Merck for the submitted work or were partially supported by a grant from the National Institute of Diabetes and Digestive and Kidney Diseases of the National Institutes of Health to the Georgia Center for Diabetes Translation Research. Dr. Chehal reported no relevant financial relationships.

A version of this article originally appeared on Medscape.com.

In adults with prediabetes, vitamin D helped decrease the risk that these individuals would develop diabetes, suggests a meta-analysis of three trials.

Results of the analysis, led by Anastassios G. Pittas, MD, MS, with the division of endocrinology, diabetes, and metabolism at Tufts Medical Center, in Boston, were published online in Annals of Internal Medicine (2023 Feb 7. doi: 10.7326/M22-3018).

All three eligible trials included in the analysis were randomized, double blinded, and placebo controlled. The three eligible trials tested three oral formulations of Vitamin D: cholecalciferol, 20,000 IU (500 mcg) weekly; cholecalciferol, 4,000 IU (100 mcg) daily; or eldecalcitol, 0.75 mcg daily, against placebos.

The authors of the new paper found that vitamin D reduced the risk for diabetes in people with prediabetes by a statistically significant 15% in adjusted analyses. The 3-year absolute risk reduction was 3.3%.

They found no difference in the rate ratios for adverse events (kidney stones, 1.17, 95% confidence interval, 0.69-1.99; hypercalcemia, 2.34; 95% CI, 0.83-6.66]; hypercalciuria, 1.65; 95% CI, 0.83-3.28]; death, 0.85; 95% CI, 0.31-2.36]) when study participants got vitamin D instead of placebo.

Differences from previous analyses

The relationship between vitamin D levels and risk for type 2 diabetes has been studied in previous trials and results have been mixed.

The authors note that two previous meta-analyses included trials “that had relatively short durations for assessment of diabetes risk (for example, ≤ 1 year), had high risk of bias (for example, open-label trials), or were not specifically designed and conducted for primary prevention of type 2 diabetes, potentially undermining the validity of the results.”

Each of the trials in this meta-analysis had a low risk of bias as determined by the Cochrane risk-of-bias tool, Dr. Pittas and colleagues said.

“The present study does not reach an opposite conclusion from the D2d study,” said Dr. Pittas, who coauthored that paper as well. “Rather, it confirms the results of the D2d study. In D2d and two other similar vitamin D and diabetes prevention trials (one in Norway and one in Japan), vitamin D reduced the rate of progression to diabetes in adults with prediabetes, but the observed differences were not statistically significant because the reported relative risk reductions (10%-13%) were smaller than each trial was powered to detect (25%-36%).”

“Individual participant data meta-analyses increase the statistical power to detect an effect. After combining data, we found that vitamin D reduced the risk of progression from prediabetes to diabetes by 15% and this result was statistically significant. So, the conclusion of the meta-analysis is essentially the same conclusion as in D2d and the other two trials. The difference is that the result is now statistically significant,” Dr. Pittas added.

Small reduction but large population

The authors acknowledged that the absolute risk reduction number is small, especially when compared with the risk reduction seen with intensive lifestyle changes (58%) and metformin (31%), as reported in an article published in the New England of Journal of Medicine (2002 Feb 7;346:393-403). But “extrapolating to the more than 374 million adults worldwide who have prediabetes suggests that inexpensive vitamin D supplementation could delay the development of diabetes in more than 10 million people,” they said.

As for how high vitamin D levels need to be, the authors write that their research indicates that the optimal level of vitamin D in the blood needed to reduce diabetes risk may be higher than an Institute of Medicine committee recommendation in 2011.

“The blood 25-hydroxy vitamin D level needed to optimally reduce diabetes risk may be near and possibly above the range of 125-150 nmol/L (50-60 ng/mL) that the 2011 Institute of Medicine Committee to Review Dietary Reference Intakes for Calcium and Vitamin D provided as the range corresponding to the tolerable upper intake level (UL) of 4,000 IU/d for vitamin D,” the authors of the new paper said.

Editorialists urge caution

In an accompanying editorial also published in the Annals of Internal Medicine, Malachi J. McKenna, MD, with the department of clinical chemistry, at St. Vincent’s University Hospital, and Mary A.T. Flynn, PhD, RD, with the Food Safety Authority of Ireland in Dublin, urge caution regarding vitamin D dosing.

They write that there are important distinctions between vitamin D supplements and vitamin D therapy, and the potential harms of high-dose vitamin D are still unclear.

“Vitamin D supplementation of 10 to 20 mcg (400 to 800 IU) daily can be applied safely at the population level to prevent skeletal and possibly nonskeletal disease. Very-high-dose vitamin D therapy might prevent type 2 diabetes in some patients but may also cause harm,” they note.

Dr. Pittas said in an interview that there have been some studies with high-dose vitamin D (up to 500,000 IU a year in one study) that reported an increased fall risk in older adults who had high fall risk. “However, these findings are not generalizable to other populations that are younger and at low or average fall risk, such as the prediabetes population to which the results of this meta-analysis apply,” he noted.

“The benefit-to-risk ratio for vitamin D depends on the target population and medical condition,” Dr. Pittas said. “The editorial refers to the NAM (National Academy of Medicine) vitamin D guidelines for the general, healthy population to promote bone health. The guidelines should not be extrapolated to specific populations, for example [patients with] prediabetes,” where the vitamin D benefit-to-risk ratio would be different from that in the general population.

Dr. Pittas and colleagues caution that the people studied in this meta-analysis were at high risk for type 2 diabetes, so these results do not apply to the general healthy population. The results also should not be extrapolated to people at average risk for any type of diabetes, they add.

Several physicians either declined to comment or did not respond to requests for comment on this research.

Dr. Pittas reports the National Institutes of Health and the American Diabetes Association made payments to his institution to conduct Vitamin D-related research. He is an unpaid cochair of the Endocrine Society’s Evaluation, Treatment and Prevention of Vitamin D Deficiency Clinical Practice Guideline team.

Coauthor Dr. Jorde reports grants from Novo Nordisk Foundation, North Norwegian Regional Health Authorities, and the Research Council of Norway.

Dr. Dawson-Hughes reports she is on the DSMB for AgNovos Healthcare. AgNovos is developing a bone implant to reduce hip fracture risk and she gets a stipend from the company. She reports Helsinn Therapeutics provided anamorelin and matching placebo for an NIH-funded clinical trial.

Dr. Trikalinos was supported by the D2d study. He is a technical methodological consultant to Latham and Watkins, who is retained by Pacira Pharmaceuticals.

Dr. Angellotti has been employed by Takeda and owns stock in the company.

The editorialists report no relevant financial relationships.

In adults with prediabetes, vitamin D helped decrease the risk that these individuals would develop diabetes, suggests a meta-analysis of three trials.

Results of the analysis, led by Anastassios G. Pittas, MD, MS, with the division of endocrinology, diabetes, and metabolism at Tufts Medical Center, in Boston, were published online in Annals of Internal Medicine (2023 Feb 7. doi: 10.7326/M22-3018).

All three eligible trials included in the analysis were randomized, double blinded, and placebo controlled. The three eligible trials tested three oral formulations of Vitamin D: cholecalciferol, 20,000 IU (500 mcg) weekly; cholecalciferol, 4,000 IU (100 mcg) daily; or eldecalcitol, 0.75 mcg daily, against placebos.

The authors of the new paper found that vitamin D reduced the risk for diabetes in people with prediabetes by a statistically significant 15% in adjusted analyses. The 3-year absolute risk reduction was 3.3%.

They found no difference in the rate ratios for adverse events (kidney stones, 1.17, 95% confidence interval, 0.69-1.99; hypercalcemia, 2.34; 95% CI, 0.83-6.66]; hypercalciuria, 1.65; 95% CI, 0.83-3.28]; death, 0.85; 95% CI, 0.31-2.36]) when study participants got vitamin D instead of placebo.

Differences from previous analyses

The relationship between vitamin D levels and risk for type 2 diabetes has been studied in previous trials and results have been mixed.

The authors note that two previous meta-analyses included trials “that had relatively short durations for assessment of diabetes risk (for example, ≤ 1 year), had high risk of bias (for example, open-label trials), or were not specifically designed and conducted for primary prevention of type 2 diabetes, potentially undermining the validity of the results.”

Each of the trials in this meta-analysis had a low risk of bias as determined by the Cochrane risk-of-bias tool, Dr. Pittas and colleagues said.

“The present study does not reach an opposite conclusion from the D2d study,” said Dr. Pittas, who coauthored that paper as well. “Rather, it confirms the results of the D2d study. In D2d and two other similar vitamin D and diabetes prevention trials (one in Norway and one in Japan), vitamin D reduced the rate of progression to diabetes in adults with prediabetes, but the observed differences were not statistically significant because the reported relative risk reductions (10%-13%) were smaller than each trial was powered to detect (25%-36%).”

“Individual participant data meta-analyses increase the statistical power to detect an effect. After combining data, we found that vitamin D reduced the risk of progression from prediabetes to diabetes by 15% and this result was statistically significant. So, the conclusion of the meta-analysis is essentially the same conclusion as in D2d and the other two trials. The difference is that the result is now statistically significant,” Dr. Pittas added.

Small reduction but large population

The authors acknowledged that the absolute risk reduction number is small, especially when compared with the risk reduction seen with intensive lifestyle changes (58%) and metformin (31%), as reported in an article published in the New England of Journal of Medicine (2002 Feb 7;346:393-403). But “extrapolating to the more than 374 million adults worldwide who have prediabetes suggests that inexpensive vitamin D supplementation could delay the development of diabetes in more than 10 million people,” they said.

As for how high vitamin D levels need to be, the authors write that their research indicates that the optimal level of vitamin D in the blood needed to reduce diabetes risk may be higher than an Institute of Medicine committee recommendation in 2011.

“The blood 25-hydroxy vitamin D level needed to optimally reduce diabetes risk may be near and possibly above the range of 125-150 nmol/L (50-60 ng/mL) that the 2011 Institute of Medicine Committee to Review Dietary Reference Intakes for Calcium and Vitamin D provided as the range corresponding to the tolerable upper intake level (UL) of 4,000 IU/d for vitamin D,” the authors of the new paper said.

Editorialists urge caution

In an accompanying editorial also published in the Annals of Internal Medicine, Malachi J. McKenna, MD, with the department of clinical chemistry, at St. Vincent’s University Hospital, and Mary A.T. Flynn, PhD, RD, with the Food Safety Authority of Ireland in Dublin, urge caution regarding vitamin D dosing.

They write that there are important distinctions between vitamin D supplements and vitamin D therapy, and the potential harms of high-dose vitamin D are still unclear.

“Vitamin D supplementation of 10 to 20 mcg (400 to 800 IU) daily can be applied safely at the population level to prevent skeletal and possibly nonskeletal disease. Very-high-dose vitamin D therapy might prevent type 2 diabetes in some patients but may also cause harm,” they note.

Dr. Pittas said in an interview that there have been some studies with high-dose vitamin D (up to 500,000 IU a year in one study) that reported an increased fall risk in older adults who had high fall risk. “However, these findings are not generalizable to other populations that are younger and at low or average fall risk, such as the prediabetes population to which the results of this meta-analysis apply,” he noted.

“The benefit-to-risk ratio for vitamin D depends on the target population and medical condition,” Dr. Pittas said. “The editorial refers to the NAM (National Academy of Medicine) vitamin D guidelines for the general, healthy population to promote bone health. The guidelines should not be extrapolated to specific populations, for example [patients with] prediabetes,” where the vitamin D benefit-to-risk ratio would be different from that in the general population.

Dr. Pittas and colleagues caution that the people studied in this meta-analysis were at high risk for type 2 diabetes, so these results do not apply to the general healthy population. The results also should not be extrapolated to people at average risk for any type of diabetes, they add.

Several physicians either declined to comment or did not respond to requests for comment on this research.

Dr. Pittas reports the National Institutes of Health and the American Diabetes Association made payments to his institution to conduct Vitamin D-related research. He is an unpaid cochair of the Endocrine Society’s Evaluation, Treatment and Prevention of Vitamin D Deficiency Clinical Practice Guideline team.

Coauthor Dr. Jorde reports grants from Novo Nordisk Foundation, North Norwegian Regional Health Authorities, and the Research Council of Norway.

Dr. Dawson-Hughes reports she is on the DSMB for AgNovos Healthcare. AgNovos is developing a bone implant to reduce hip fracture risk and she gets a stipend from the company. She reports Helsinn Therapeutics provided anamorelin and matching placebo for an NIH-funded clinical trial.

Dr. Trikalinos was supported by the D2d study. He is a technical methodological consultant to Latham and Watkins, who is retained by Pacira Pharmaceuticals.

Dr. Angellotti has been employed by Takeda and owns stock in the company.

The editorialists report no relevant financial relationships.

In adults with prediabetes, vitamin D helped decrease the risk that these individuals would develop diabetes, suggests a meta-analysis of three trials.

Results of the analysis, led by Anastassios G. Pittas, MD, MS, with the division of endocrinology, diabetes, and metabolism at Tufts Medical Center, in Boston, were published online in Annals of Internal Medicine (2023 Feb 7. doi: 10.7326/M22-3018).

All three eligible trials included in the analysis were randomized, double blinded, and placebo controlled. The three eligible trials tested three oral formulations of Vitamin D: cholecalciferol, 20,000 IU (500 mcg) weekly; cholecalciferol, 4,000 IU (100 mcg) daily; or eldecalcitol, 0.75 mcg daily, against placebos.

The authors of the new paper found that vitamin D reduced the risk for diabetes in people with prediabetes by a statistically significant 15% in adjusted analyses. The 3-year absolute risk reduction was 3.3%.

They found no difference in the rate ratios for adverse events (kidney stones, 1.17, 95% confidence interval, 0.69-1.99; hypercalcemia, 2.34; 95% CI, 0.83-6.66]; hypercalciuria, 1.65; 95% CI, 0.83-3.28]; death, 0.85; 95% CI, 0.31-2.36]) when study participants got vitamin D instead of placebo.

Differences from previous analyses

The relationship between vitamin D levels and risk for type 2 diabetes has been studied in previous trials and results have been mixed.

The authors note that two previous meta-analyses included trials “that had relatively short durations for assessment of diabetes risk (for example, ≤ 1 year), had high risk of bias (for example, open-label trials), or were not specifically designed and conducted for primary prevention of type 2 diabetes, potentially undermining the validity of the results.”

Each of the trials in this meta-analysis had a low risk of bias as determined by the Cochrane risk-of-bias tool, Dr. Pittas and colleagues said.

“The present study does not reach an opposite conclusion from the D2d study,” said Dr. Pittas, who coauthored that paper as well. “Rather, it confirms the results of the D2d study. In D2d and two other similar vitamin D and diabetes prevention trials (one in Norway and one in Japan), vitamin D reduced the rate of progression to diabetes in adults with prediabetes, but the observed differences were not statistically significant because the reported relative risk reductions (10%-13%) were smaller than each trial was powered to detect (25%-36%).”

“Individual participant data meta-analyses increase the statistical power to detect an effect. After combining data, we found that vitamin D reduced the risk of progression from prediabetes to diabetes by 15% and this result was statistically significant. So, the conclusion of the meta-analysis is essentially the same conclusion as in D2d and the other two trials. The difference is that the result is now statistically significant,” Dr. Pittas added.

Small reduction but large population

The authors acknowledged that the absolute risk reduction number is small, especially when compared with the risk reduction seen with intensive lifestyle changes (58%) and metformin (31%), as reported in an article published in the New England of Journal of Medicine (2002 Feb 7;346:393-403). But “extrapolating to the more than 374 million adults worldwide who have prediabetes suggests that inexpensive vitamin D supplementation could delay the development of diabetes in more than 10 million people,” they said.

As for how high vitamin D levels need to be, the authors write that their research indicates that the optimal level of vitamin D in the blood needed to reduce diabetes risk may be higher than an Institute of Medicine committee recommendation in 2011.

“The blood 25-hydroxy vitamin D level needed to optimally reduce diabetes risk may be near and possibly above the range of 125-150 nmol/L (50-60 ng/mL) that the 2011 Institute of Medicine Committee to Review Dietary Reference Intakes for Calcium and Vitamin D provided as the range corresponding to the tolerable upper intake level (UL) of 4,000 IU/d for vitamin D,” the authors of the new paper said.

Editorialists urge caution

In an accompanying editorial also published in the Annals of Internal Medicine, Malachi J. McKenna, MD, with the department of clinical chemistry, at St. Vincent’s University Hospital, and Mary A.T. Flynn, PhD, RD, with the Food Safety Authority of Ireland in Dublin, urge caution regarding vitamin D dosing.

They write that there are important distinctions between vitamin D supplements and vitamin D therapy, and the potential harms of high-dose vitamin D are still unclear.

“Vitamin D supplementation of 10 to 20 mcg (400 to 800 IU) daily can be applied safely at the population level to prevent skeletal and possibly nonskeletal disease. Very-high-dose vitamin D therapy might prevent type 2 diabetes in some patients but may also cause harm,” they note.

Dr. Pittas said in an interview that there have been some studies with high-dose vitamin D (up to 500,000 IU a year in one study) that reported an increased fall risk in older adults who had high fall risk. “However, these findings are not generalizable to other populations that are younger and at low or average fall risk, such as the prediabetes population to which the results of this meta-analysis apply,” he noted.

“The benefit-to-risk ratio for vitamin D depends on the target population and medical condition,” Dr. Pittas said. “The editorial refers to the NAM (National Academy of Medicine) vitamin D guidelines for the general, healthy population to promote bone health. The guidelines should not be extrapolated to specific populations, for example [patients with] prediabetes,” where the vitamin D benefit-to-risk ratio would be different from that in the general population.

Dr. Pittas and colleagues caution that the people studied in this meta-analysis were at high risk for type 2 diabetes, so these results do not apply to the general healthy population. The results also should not be extrapolated to people at average risk for any type of diabetes, they add.

Several physicians either declined to comment or did not respond to requests for comment on this research.

Dr. Pittas reports the National Institutes of Health and the American Diabetes Association made payments to his institution to conduct Vitamin D-related research. He is an unpaid cochair of the Endocrine Society’s Evaluation, Treatment and Prevention of Vitamin D Deficiency Clinical Practice Guideline team.

Coauthor Dr. Jorde reports grants from Novo Nordisk Foundation, North Norwegian Regional Health Authorities, and the Research Council of Norway.

Dr. Dawson-Hughes reports she is on the DSMB for AgNovos Healthcare. AgNovos is developing a bone implant to reduce hip fracture risk and she gets a stipend from the company. She reports Helsinn Therapeutics provided anamorelin and matching placebo for an NIH-funded clinical trial.

Dr. Trikalinos was supported by the D2d study. He is a technical methodological consultant to Latham and Watkins, who is retained by Pacira Pharmaceuticals.

Dr. Angellotti has been employed by Takeda and owns stock in the company.

The editorialists report no relevant financial relationships.

Almonds might affect appetite during a weight loss diet and may assist with weight management in the long term, according to researchers at the University of South Australia’s Alliance for Research in Exercise, Nutrition and Activity.

What to know

People who consume as few as 30-50 g of almonds, as opposed to an energy-equivalent carbohydrate snack, can lower their energy intake significantly at the subsequent meal.

People who eat almonds can experience changes in their appetite-regulating hormones that may contribute to less food intake.

Almond consumption can lower C-peptide responses, which can improve insulin sensitivity and reduce the risk of developing diabetes and cardiovascular disease.

Eating almonds can raise levels of glucose-dependent insulinotropic polypeptide glucagon, which can send satiety signals to the brain, and pancreatic polypeptide, which slows digestion, which may reduce food intake, supporting weight loss.

Almonds are high in protein, fiber, and unsaturated fatty acids, which may contribute to their satiating properties and help explain why fewer calories are consumed.

A version of this article originally appeared on Medscape.com.

This is a summary of the article “Acute Feeding With Almonds Compared to a Carbohydrate-Based Snack Improves Appetite-Regulating Hormones With No Effect on Self-reported Appetite Sensations: A Randomised Controlled Trial,” published in the European Journal of Nutrition on Oct. 11, 2022. The full article can be found on link.springer.com.

Almonds might affect appetite during a weight loss diet and may assist with weight management in the long term, according to researchers at the University of South Australia’s Alliance for Research in Exercise, Nutrition and Activity.

What to know

People who consume as few as 30-50 g of almonds, as opposed to an energy-equivalent carbohydrate snack, can lower their energy intake significantly at the subsequent meal.

People who eat almonds can experience changes in their appetite-regulating hormones that may contribute to less food intake.

Almond consumption can lower C-peptide responses, which can improve insulin sensitivity and reduce the risk of developing diabetes and cardiovascular disease.

Eating almonds can raise levels of glucose-dependent insulinotropic polypeptide glucagon, which can send satiety signals to the brain, and pancreatic polypeptide, which slows digestion, which may reduce food intake, supporting weight loss.

Almonds are high in protein, fiber, and unsaturated fatty acids, which may contribute to their satiating properties and help explain why fewer calories are consumed.

A version of this article originally appeared on Medscape.com.

This is a summary of the article “Acute Feeding With Almonds Compared to a Carbohydrate-Based Snack Improves Appetite-Regulating Hormones With No Effect on Self-reported Appetite Sensations: A Randomised Controlled Trial,” published in the European Journal of Nutrition on Oct. 11, 2022. The full article can be found on link.springer.com.

Almonds might affect appetite during a weight loss diet and may assist with weight management in the long term, according to researchers at the University of South Australia’s Alliance for Research in Exercise, Nutrition and Activity.

What to know

People who consume as few as 30-50 g of almonds, as opposed to an energy-equivalent carbohydrate snack, can lower their energy intake significantly at the subsequent meal.

People who eat almonds can experience changes in their appetite-regulating hormones that may contribute to less food intake.

Almond consumption can lower C-peptide responses, which can improve insulin sensitivity and reduce the risk of developing diabetes and cardiovascular disease.

Eating almonds can raise levels of glucose-dependent insulinotropic polypeptide glucagon, which can send satiety signals to the brain, and pancreatic polypeptide, which slows digestion, which may reduce food intake, supporting weight loss.

Almonds are high in protein, fiber, and unsaturated fatty acids, which may contribute to their satiating properties and help explain why fewer calories are consumed.

A version of this article originally appeared on Medscape.com.

This is a summary of the article “Acute Feeding With Almonds Compared to a Carbohydrate-Based Snack Improves Appetite-Regulating Hormones With No Effect on Self-reported Appetite Sensations: A Randomised Controlled Trial,” published in the European Journal of Nutrition on Oct. 11, 2022. The full article can be found on link.springer.com.

“Congratulations on the baby. You look great!” I enthusiastically proclaimed to my classmate. It was the start of the fall semester of my sophomore year of college.

At my small women’s college, the previous semester’s gossip had been about our classmate, S*. She had gone from being very thin to noticeably gaining a lot of weight in a few months. The rumors were that S was pregnant and gave birth over summer break. As a busy biology premed major, this was my first time hearing the news. So when I saw her standing in the hallway, back to her previous weight, I was excited for her.

In true extravert fashion, I commented on the baby and her new size. But no sooner had the words left my mouth than I regretted them.

The hall grew awkwardly silent as S’s face flushed and she asked, “Excuse me?!” Instantly I knew that the rumors weren’t true.

Thankfully, at that moment, the classroom opened and we walked in. Whew! After class, S asked if we could talk. She explained that she had a thyroid tumor and struggled to adjust to the treatments, which caused her weight fluctuations. She had never been pregnant.

My awkward statement had been the first time anyone on campus had directly mentioned her weight, though she suspected that people were talking about her. We became fast friends after this rocky beginning. Although we lost touch after college, S taught me an invaluable lesson about making assumptions about people’s weight: Ask before you assume.

Now, years later, as an internist and obesity specialist, this lesson continues to be reinforced daily.

In daily life, comments about weight can be perceived as rude. In the clinical setting, however, assumptions about weight are a form of weight bias. Weight bias can lead to weight stigma and even be dangerous to health care.

Let’s discuss the insidious influence of weight bias in health care through two commonly used phrases and then look at a few solutions to address weight bias in health care individually and systematically.
 

Common weight bias assumptions

“Great job, you lost weight!” In checking your patient’s vital signs, you notice that this patient with obesity has a significant weight change. You congratulate them upon entering the room. Unfortunately, their weight loss was a result of minimal eating after losing a loved one. This isn’t healthy weight loss. One of the adverse effects of weight bias is that it infers that weight loss is always a good thing, especially in people with larger bodies. This is a dangerous presumption. Let’s remember that the body favors fat storage, hence why “unintentional weight loss” is a recognized medical condition prompting evaluation. We have to be careful not to celebrate weight loss “at all costs,” such as fad diets that haven’t been shown to improve health outcomes.

Furthermore, patients who lose weight quickly (more than 4-8 lb/month) require closer follow-up and evaluation for secondary causes of weight loss. Patients may lose weight at a faster rate with the new antiobesity medications, but clinicians still should ensure that age-appropriate health maintenance screening is done and be vigilant for secondary causes of weight changes.

“Have you tried losing weight yet?” Three times. That’s how many times Chanté Burkett went to her doctor about her painful, enlarging firm stomach. She was advised to continue working on weight loss, which she did diligently. But Ms. Burkett’s abdomen kept growing and her concerns were dismissed. A visit to urgent care and a CT scan revealed that Ms. Burkett’s excess abdominal “fat” was a 13-lb mucinous cystadenoma. Sadly, cases like hers aren’t rare, isolated events. Weight bias can cause anchoring on one diagnosis, preventing consideration of other diagnostic possibilities. Even worse, anchoring will lead to the wrong intervention, such as prescribing weight loss for presumed increased adiposity instead of ordering the appropriate testing.

It’s also essential to recognize that, even if someone does have the disease of obesity, weight loss isn’t the solution to every medical concern. Even if weight loss is helpful, other, more pressing treatments may still be necessary. Telling a person with obesity who has an acute complaint to “just lose weight” is comparable to telling a patient with coronary artery disease who presents with an 80% vessel occlusion and chest pain to follow a low-fat diet. In both cases, you need to address the acute concern appropriately, then focus on the chronic treatment.
 

Ways to reduce clinical weight bias

How do you reduce clinical weight bias?

Ask, don’t assume. The information from the scale is simply data. Instead of judging it positively or negatively and creating a story, ask the patient. An unbiased way to approach the conversation is to say, “Great to see you. You seem [positive adjective of choice]. How have you been?” Wait until the vitals section to objectively discuss weight unless the patient offers the discussion earlier or their chief complaint lists a weight-related concern.

Order necessary tests to evaluate weight. Weight is the vital sign that people wear externally, so we feel that we can readily interpret it without any further assessment. However, resist the urge to interpret scale data without context. Keeping an open mind helps prevent anchoring and missing critical clues in the clinical history.

Address weight changes effectively. Sometimes there is an indication to prescribe weight loss as part of the treatment plan. However, remember that weight loss isn’t simply “calories in vs. calories out.” Obesity is a complex medical disease that requires a multimodal treatment approach. As clinicians, we have access to the most powerful tools for weight loss. Unfortunately, weight bias contributes to limited prescribing of metabolic medications (“antiobesity medications” or AOMs). In addition, systemic weight bias prevents insurance coverage of AOMs. The Treat and Reduce Obesity Act has been introduced into Congress to help improve life-transforming access to AOMs.

Acknowledge your bias. Our experiences make us all susceptible to bias. The Harvard Weight Implicit Association Test is free and a helpful way to assess your level of weight bias. I take it annually to ensure that I remain objective in my practice.

Addressing weight bias needs to extend beyond the individual level.

Systemically, health care needs to address the following:

Language. Use people-centered language. For example, “People aren’t obese. They have obesity.”

Accessibility. Health care settings must be comfortable and accessible for people of all sizes. Furthermore, improvements to access the services that comprehensive obesity care requires, such as AOMs, bariatric procedures and bariatric surgery, mental health care, nutrition, fitness specialists, health coaches, and more, are needed.

Education. Medical students and trainees have to learn the newest obesity science and know how to treat obesity effectively. Acknowledge and address biased tools. Recent data have shown that some of our screening tools, such as body mass index, have inherent bias. It’s time to focus on using improved diagnostic tools and personalized treatments.

We are at a pivotal time in our scientific understanding of body weight regulation and the disease of obesity. Clinical weight bias is primarily rooted in flawed science influenced by biased cultural norms and other forms of discrimination, such as racial and gender bias. We must move past assumptions to give our patients the optimal individualized care they need. So next time you observe a weight change, instead of commenting on their weight, say, “Great to see you! How have you been?”

S*: Initial has been changed to protect privacy.

Dr. Gonsahn-Bollie is an integrative obesity specialist focused on individualized solutions for emotional and biological overeating. Connect with her at www.embraceyouweightloss.com or on Instagram @embraceyoumd. Her bestselling book, “Embrace You: Your Guide to Transforming Weight Loss Misconceptions Into Lifelong Wellness”, was Healthline.com’s Best Overall Weight Loss Book of 2022 and one of Livestrong.com’s 8 Best Weight-Loss Books to Read in 2022. She has disclosed no relevant financial relationships. A version of this article originally appeared on Medscape.com.

“Congratulations on the baby. You look great!” I enthusiastically proclaimed to my classmate. It was the start of the fall semester of my sophomore year of college.

At my small women’s college, the previous semester’s gossip had been about our classmate, S*. She had gone from being very thin to noticeably gaining a lot of weight in a few months. The rumors were that S was pregnant and gave birth over summer break. As a busy biology premed major, this was my first time hearing the news. So when I saw her standing in the hallway, back to her previous weight, I was excited for her.

In true extravert fashion, I commented on the baby and her new size. But no sooner had the words left my mouth than I regretted them.

The hall grew awkwardly silent as S’s face flushed and she asked, “Excuse me?!” Instantly I knew that the rumors weren’t true.

Thankfully, at that moment, the classroom opened and we walked in. Whew! After class, S asked if we could talk. She explained that she had a thyroid tumor and struggled to adjust to the treatments, which caused her weight fluctuations. She had never been pregnant.

My awkward statement had been the first time anyone on campus had directly mentioned her weight, though she suspected that people were talking about her. We became fast friends after this rocky beginning. Although we lost touch after college, S taught me an invaluable lesson about making assumptions about people’s weight: Ask before you assume.

Now, years later, as an internist and obesity specialist, this lesson continues to be reinforced daily.

In daily life, comments about weight can be perceived as rude. In the clinical setting, however, assumptions about weight are a form of weight bias. Weight bias can lead to weight stigma and even be dangerous to health care.

Let’s discuss the insidious influence of weight bias in health care through two commonly used phrases and then look at a few solutions to address weight bias in health care individually and systematically.
 

Common weight bias assumptions

“Great job, you lost weight!” In checking your patient’s vital signs, you notice that this patient with obesity has a significant weight change. You congratulate them upon entering the room. Unfortunately, their weight loss was a result of minimal eating after losing a loved one. This isn’t healthy weight loss. One of the adverse effects of weight bias is that it infers that weight loss is always a good thing, especially in people with larger bodies. This is a dangerous presumption. Let’s remember that the body favors fat storage, hence why “unintentional weight loss” is a recognized medical condition prompting evaluation. We have to be careful not to celebrate weight loss “at all costs,” such as fad diets that haven’t been shown to improve health outcomes.

Furthermore, patients who lose weight quickly (more than 4-8 lb/month) require closer follow-up and evaluation for secondary causes of weight loss. Patients may lose weight at a faster rate with the new antiobesity medications, but clinicians still should ensure that age-appropriate health maintenance screening is done and be vigilant for secondary causes of weight changes.

“Have you tried losing weight yet?” Three times. That’s how many times Chanté Burkett went to her doctor about her painful, enlarging firm stomach. She was advised to continue working on weight loss, which she did diligently. But Ms. Burkett’s abdomen kept growing and her concerns were dismissed. A visit to urgent care and a CT scan revealed that Ms. Burkett’s excess abdominal “fat” was a 13-lb mucinous cystadenoma. Sadly, cases like hers aren’t rare, isolated events. Weight bias can cause anchoring on one diagnosis, preventing consideration of other diagnostic possibilities. Even worse, anchoring will lead to the wrong intervention, such as prescribing weight loss for presumed increased adiposity instead of ordering the appropriate testing.

It’s also essential to recognize that, even if someone does have the disease of obesity, weight loss isn’t the solution to every medical concern. Even if weight loss is helpful, other, more pressing treatments may still be necessary. Telling a person with obesity who has an acute complaint to “just lose weight” is comparable to telling a patient with coronary artery disease who presents with an 80% vessel occlusion and chest pain to follow a low-fat diet. In both cases, you need to address the acute concern appropriately, then focus on the chronic treatment.
 

Ways to reduce clinical weight bias

How do you reduce clinical weight bias?

Ask, don’t assume. The information from the scale is simply data. Instead of judging it positively or negatively and creating a story, ask the patient. An unbiased way to approach the conversation is to say, “Great to see you. You seem [positive adjective of choice]. How have you been?” Wait until the vitals section to objectively discuss weight unless the patient offers the discussion earlier or their chief complaint lists a weight-related concern.

Order necessary tests to evaluate weight. Weight is the vital sign that people wear externally, so we feel that we can readily interpret it without any further assessment. However, resist the urge to interpret scale data without context. Keeping an open mind helps prevent anchoring and missing critical clues in the clinical history.

Address weight changes effectively. Sometimes there is an indication to prescribe weight loss as part of the treatment plan. However, remember that weight loss isn’t simply “calories in vs. calories out.” Obesity is a complex medical disease that requires a multimodal treatment approach. As clinicians, we have access to the most powerful tools for weight loss. Unfortunately, weight bias contributes to limited prescribing of metabolic medications (“antiobesity medications” or AOMs). In addition, systemic weight bias prevents insurance coverage of AOMs. The Treat and Reduce Obesity Act has been introduced into Congress to help improve life-transforming access to AOMs.

Acknowledge your bias. Our experiences make us all susceptible to bias. The Harvard Weight Implicit Association Test is free and a helpful way to assess your level of weight bias. I take it annually to ensure that I remain objective in my practice.

Addressing weight bias needs to extend beyond the individual level.

Systemically, health care needs to address the following:

Language. Use people-centered language. For example, “People aren’t obese. They have obesity.”

Accessibility. Health care settings must be comfortable and accessible for people of all sizes. Furthermore, improvements to access the services that comprehensive obesity care requires, such as AOMs, bariatric procedures and bariatric surgery, mental health care, nutrition, fitness specialists, health coaches, and more, are needed.

Education. Medical students and trainees have to learn the newest obesity science and know how to treat obesity effectively. Acknowledge and address biased tools. Recent data have shown that some of our screening tools, such as body mass index, have inherent bias. It’s time to focus on using improved diagnostic tools and personalized treatments.

We are at a pivotal time in our scientific understanding of body weight regulation and the disease of obesity. Clinical weight bias is primarily rooted in flawed science influenced by biased cultural norms and other forms of discrimination, such as racial and gender bias. We must move past assumptions to give our patients the optimal individualized care they need. So next time you observe a weight change, instead of commenting on their weight, say, “Great to see you! How have you been?”

S*: Initial has been changed to protect privacy.

Dr. Gonsahn-Bollie is an integrative obesity specialist focused on individualized solutions for emotional and biological overeating. Connect with her at www.embraceyouweightloss.com or on Instagram @embraceyoumd. Her bestselling book, “Embrace You: Your Guide to Transforming Weight Loss Misconceptions Into Lifelong Wellness”, was Healthline.com’s Best Overall Weight Loss Book of 2022 and one of Livestrong.com’s 8 Best Weight-Loss Books to Read in 2022. She has disclosed no relevant financial relationships. A version of this article originally appeared on Medscape.com.

“Congratulations on the baby. You look great!” I enthusiastically proclaimed to my classmate. It was the start of the fall semester of my sophomore year of college.

At my small women’s college, the previous semester’s gossip had been about our classmate, S*. She had gone from being very thin to noticeably gaining a lot of weight in a few months. The rumors were that S was pregnant and gave birth over summer break. As a busy biology premed major, this was my first time hearing the news. So when I saw her standing in the hallway, back to her previous weight, I was excited for her.

In true extravert fashion, I commented on the baby and her new size. But no sooner had the words left my mouth than I regretted them.

The hall grew awkwardly silent as S’s face flushed and she asked, “Excuse me?!” Instantly I knew that the rumors weren’t true.

Thankfully, at that moment, the classroom opened and we walked in. Whew! After class, S asked if we could talk. She explained that she had a thyroid tumor and struggled to adjust to the treatments, which caused her weight fluctuations. She had never been pregnant.

My awkward statement had been the first time anyone on campus had directly mentioned her weight, though she suspected that people were talking about her. We became fast friends after this rocky beginning. Although we lost touch after college, S taught me an invaluable lesson about making assumptions about people’s weight: Ask before you assume.

Now, years later, as an internist and obesity specialist, this lesson continues to be reinforced daily.

In daily life, comments about weight can be perceived as rude. In the clinical setting, however, assumptions about weight are a form of weight bias. Weight bias can lead to weight stigma and even be dangerous to health care.

Let’s discuss the insidious influence of weight bias in health care through two commonly used phrases and then look at a few solutions to address weight bias in health care individually and systematically.
 

Common weight bias assumptions

“Great job, you lost weight!” In checking your patient’s vital signs, you notice that this patient with obesity has a significant weight change. You congratulate them upon entering the room. Unfortunately, their weight loss was a result of minimal eating after losing a loved one. This isn’t healthy weight loss. One of the adverse effects of weight bias is that it infers that weight loss is always a good thing, especially in people with larger bodies. This is a dangerous presumption. Let’s remember that the body favors fat storage, hence why “unintentional weight loss” is a recognized medical condition prompting evaluation. We have to be careful not to celebrate weight loss “at all costs,” such as fad diets that haven’t been shown to improve health outcomes.

Furthermore, patients who lose weight quickly (more than 4-8 lb/month) require closer follow-up and evaluation for secondary causes of weight loss. Patients may lose weight at a faster rate with the new antiobesity medications, but clinicians still should ensure that age-appropriate health maintenance screening is done and be vigilant for secondary causes of weight changes.

“Have you tried losing weight yet?” Three times. That’s how many times Chanté Burkett went to her doctor about her painful, enlarging firm stomach. She was advised to continue working on weight loss, which she did diligently. But Ms. Burkett’s abdomen kept growing and her concerns were dismissed. A visit to urgent care and a CT scan revealed that Ms. Burkett’s excess abdominal “fat” was a 13-lb mucinous cystadenoma. Sadly, cases like hers aren’t rare, isolated events. Weight bias can cause anchoring on one diagnosis, preventing consideration of other diagnostic possibilities. Even worse, anchoring will lead to the wrong intervention, such as prescribing weight loss for presumed increased adiposity instead of ordering the appropriate testing.

It’s also essential to recognize that, even if someone does have the disease of obesity, weight loss isn’t the solution to every medical concern. Even if weight loss is helpful, other, more pressing treatments may still be necessary. Telling a person with obesity who has an acute complaint to “just lose weight” is comparable to telling a patient with coronary artery disease who presents with an 80% vessel occlusion and chest pain to follow a low-fat diet. In both cases, you need to address the acute concern appropriately, then focus on the chronic treatment.
 

Ways to reduce clinical weight bias

How do you reduce clinical weight bias?

Ask, don’t assume. The information from the scale is simply data. Instead of judging it positively or negatively and creating a story, ask the patient. An unbiased way to approach the conversation is to say, “Great to see you. You seem [positive adjective of choice]. How have you been?” Wait until the vitals section to objectively discuss weight unless the patient offers the discussion earlier or their chief complaint lists a weight-related concern.

Order necessary tests to evaluate weight. Weight is the vital sign that people wear externally, so we feel that we can readily interpret it without any further assessment. However, resist the urge to interpret scale data without context. Keeping an open mind helps prevent anchoring and missing critical clues in the clinical history.

Address weight changes effectively. Sometimes there is an indication to prescribe weight loss as part of the treatment plan. However, remember that weight loss isn’t simply “calories in vs. calories out.” Obesity is a complex medical disease that requires a multimodal treatment approach. As clinicians, we have access to the most powerful tools for weight loss. Unfortunately, weight bias contributes to limited prescribing of metabolic medications (“antiobesity medications” or AOMs). In addition, systemic weight bias prevents insurance coverage of AOMs. The Treat and Reduce Obesity Act has been introduced into Congress to help improve life-transforming access to AOMs.

Acknowledge your bias. Our experiences make us all susceptible to bias. The Harvard Weight Implicit Association Test is free and a helpful way to assess your level of weight bias. I take it annually to ensure that I remain objective in my practice.

Addressing weight bias needs to extend beyond the individual level.

Systemically, health care needs to address the following:

Language. Use people-centered language. For example, “People aren’t obese. They have obesity.”

Accessibility. Health care settings must be comfortable and accessible for people of all sizes. Furthermore, improvements to access the services that comprehensive obesity care requires, such as AOMs, bariatric procedures and bariatric surgery, mental health care, nutrition, fitness specialists, health coaches, and more, are needed.

Education. Medical students and trainees have to learn the newest obesity science and know how to treat obesity effectively. Acknowledge and address biased tools. Recent data have shown that some of our screening tools, such as body mass index, have inherent bias. It’s time to focus on using improved diagnostic tools and personalized treatments.

We are at a pivotal time in our scientific understanding of body weight regulation and the disease of obesity. Clinical weight bias is primarily rooted in flawed science influenced by biased cultural norms and other forms of discrimination, such as racial and gender bias. We must move past assumptions to give our patients the optimal individualized care they need. So next time you observe a weight change, instead of commenting on their weight, say, “Great to see you! How have you been?”

S*: Initial has been changed to protect privacy.

Dr. Gonsahn-Bollie is an integrative obesity specialist focused on individualized solutions for emotional and biological overeating. Connect with her at www.embraceyouweightloss.com or on Instagram @embraceyoumd. Her bestselling book, “Embrace You: Your Guide to Transforming Weight Loss Misconceptions Into Lifelong Wellness”, was Healthline.com’s Best Overall Weight Loss Book of 2022 and one of Livestrong.com’s 8 Best Weight-Loss Books to Read in 2022. She has disclosed no relevant financial relationships. A version of this article originally appeared on Medscape.com.

This transcript has been edited for clarity.

Last week, a number of patients emailed me regarding their concerns about this phenomenon known as Ozempic face. I went on to read about what this meant. I live in Los Angeles, where most people appear to be on semaglutide (Ozempic). It’s the phenomenon where people lose weight relatively rapidly, making their faces thin out. Then what happens, apparently, is they look older because their face is more wrinkled and baggier. They might have to have further plastic surgery. I say that with slight sarcasm because of where I live.

I want to talk about what I think about this, living here where there’s a great pressure to prescribe semaglutide off label, and what I think about it for my patients with diabetes.

Historically, we haven’t had much in terms of effective medication for treating obesity, and frankly, now we do. We now have agents that are effective, that have relatively few side effects, and that have become part of what’s out there. People now want to use these agents, semaglutide, and there’s been a great need for these agents.

The problem, however, is twofold. One, as we all know, is that it has basically caused a shortage of medication for treating our patients who actually have type 2 diabetes and really need these medications to manage their disease. Then we have people who want these medications who can’t pay for them. Insurance doesn’t cover obesity medications, which is problematic and actually quite frustrating for people who, I think, really would benefit from using these medications.

What I tell people, frankly, is that until I have enough supply for my patients with type 2 diabetes, who need these agents to control their blood sugars, I want to keep this class of drugs available to them. I also hope we’re able to expand it more and more with improving insurance coverage – and that’s a big if, if you ask me – both for people who have prediabetes and for patients who are overweight and obese, because I think it’s really hard for people to lose weight.

It’s frustrating, and for many people, being overweight and obese causes all sorts of other health issues, not only diabetes. I believe that these drugs are both safe and effective and should be more available. I do think we need to be careful in terms of who we prescribe them to, at least at the moment. Hopefully, we’ll be able to expand their use.

Anything that can encourage our population to lose weight and maintain that weight loss is very important. We need to couple weight loss medications with lifestyle interventions. I think people can out-eat any medication; therefore, it’s very important to encourage our patients to eat better, to exercise more, and to do all the other things they need to do to reduce their risks for other comorbidities.

I am incredibly happy to have these newer agents on the market. I tell my patients – at least those who have diabetes – that they have to accept looking a little bit too thin for the benefits that we can see in using these medications.

Thank you.

Dr. Peters is professor of medicine at the University of Southern California, Los Angeles, and director of the USC clinical diabetes programs. She has published more than 200 articles, reviews, and abstracts, and three books, on diabetes, and has been an investigator for more than 40 research studies. She has spoken internationally at over 400 programs and serves on many committees of several professional organizations. She has ties with Abbott Diabetes Care, AstraZeneca Becton Dickinson, Boehringer Ingelheim Pharmaceuticals, Dexcom, Eli Lilly, Lexicon Pharmaceuticals, Livongo, MannKind Corporation, Medscape, Merck, Novo Nordisk, Omada Health, OptumHealth, Sanofi, and Zafgen. A version of this article originally appeared on Medscape.com.

This transcript has been edited for clarity.

Last week, a number of patients emailed me regarding their concerns about this phenomenon known as Ozempic face. I went on to read about what this meant. I live in Los Angeles, where most people appear to be on semaglutide (Ozempic). It’s the phenomenon where people lose weight relatively rapidly, making their faces thin out. Then what happens, apparently, is they look older because their face is more wrinkled and baggier. They might have to have further plastic surgery. I say that with slight sarcasm because of where I live.

I want to talk about what I think about this, living here where there’s a great pressure to prescribe semaglutide off label, and what I think about it for my patients with diabetes.

Historically, we haven’t had much in terms of effective medication for treating obesity, and frankly, now we do. We now have agents that are effective, that have relatively few side effects, and that have become part of what’s out there. People now want to use these agents, semaglutide, and there’s been a great need for these agents.

The problem, however, is twofold. One, as we all know, is that it has basically caused a shortage of medication for treating our patients who actually have type 2 diabetes and really need these medications to manage their disease. Then we have people who want these medications who can’t pay for them. Insurance doesn’t cover obesity medications, which is problematic and actually quite frustrating for people who, I think, really would benefit from using these medications.

What I tell people, frankly, is that until I have enough supply for my patients with type 2 diabetes, who need these agents to control their blood sugars, I want to keep this class of drugs available to them. I also hope we’re able to expand it more and more with improving insurance coverage – and that’s a big if, if you ask me – both for people who have prediabetes and for patients who are overweight and obese, because I think it’s really hard for people to lose weight.

It’s frustrating, and for many people, being overweight and obese causes all sorts of other health issues, not only diabetes. I believe that these drugs are both safe and effective and should be more available. I do think we need to be careful in terms of who we prescribe them to, at least at the moment. Hopefully, we’ll be able to expand their use.

Anything that can encourage our population to lose weight and maintain that weight loss is very important. We need to couple weight loss medications with lifestyle interventions. I think people can out-eat any medication; therefore, it’s very important to encourage our patients to eat better, to exercise more, and to do all the other things they need to do to reduce their risks for other comorbidities.

I am incredibly happy to have these newer agents on the market. I tell my patients – at least those who have diabetes – that they have to accept looking a little bit too thin for the benefits that we can see in using these medications.

Thank you.

Dr. Peters is professor of medicine at the University of Southern California, Los Angeles, and director of the USC clinical diabetes programs. She has published more than 200 articles, reviews, and abstracts, and three books, on diabetes, and has been an investigator for more than 40 research studies. She has spoken internationally at over 400 programs and serves on many committees of several professional organizations. She has ties with Abbott Diabetes Care, AstraZeneca Becton Dickinson, Boehringer Ingelheim Pharmaceuticals, Dexcom, Eli Lilly, Lexicon Pharmaceuticals, Livongo, MannKind Corporation, Medscape, Merck, Novo Nordisk, Omada Health, OptumHealth, Sanofi, and Zafgen. A version of this article originally appeared on Medscape.com.

This transcript has been edited for clarity.

Last week, a number of patients emailed me regarding their concerns about this phenomenon known as Ozempic face. I went on to read about what this meant. I live in Los Angeles, where most people appear to be on semaglutide (Ozempic). It’s the phenomenon where people lose weight relatively rapidly, making their faces thin out. Then what happens, apparently, is they look older because their face is more wrinkled and baggier. They might have to have further plastic surgery. I say that with slight sarcasm because of where I live.

I want to talk about what I think about this, living here where there’s a great pressure to prescribe semaglutide off label, and what I think about it for my patients with diabetes.

Historically, we haven’t had much in terms of effective medication for treating obesity, and frankly, now we do. We now have agents that are effective, that have relatively few side effects, and that have become part of what’s out there. People now want to use these agents, semaglutide, and there’s been a great need for these agents.

The problem, however, is twofold. One, as we all know, is that it has basically caused a shortage of medication for treating our patients who actually have type 2 diabetes and really need these medications to manage their disease. Then we have people who want these medications who can’t pay for them. Insurance doesn’t cover obesity medications, which is problematic and actually quite frustrating for people who, I think, really would benefit from using these medications.

What I tell people, frankly, is that until I have enough supply for my patients with type 2 diabetes, who need these agents to control their blood sugars, I want to keep this class of drugs available to them. I also hope we’re able to expand it more and more with improving insurance coverage – and that’s a big if, if you ask me – both for people who have prediabetes and for patients who are overweight and obese, because I think it’s really hard for people to lose weight.

It’s frustrating, and for many people, being overweight and obese causes all sorts of other health issues, not only diabetes. I believe that these drugs are both safe and effective and should be more available. I do think we need to be careful in terms of who we prescribe them to, at least at the moment. Hopefully, we’ll be able to expand their use.

Anything that can encourage our population to lose weight and maintain that weight loss is very important. We need to couple weight loss medications with lifestyle interventions. I think people can out-eat any medication; therefore, it’s very important to encourage our patients to eat better, to exercise more, and to do all the other things they need to do to reduce their risks for other comorbidities.

I am incredibly happy to have these newer agents on the market. I tell my patients – at least those who have diabetes – that they have to accept looking a little bit too thin for the benefits that we can see in using these medications.

Thank you.

Dr. Peters is professor of medicine at the University of Southern California, Los Angeles, and director of the USC clinical diabetes programs. She has published more than 200 articles, reviews, and abstracts, and three books, on diabetes, and has been an investigator for more than 40 research studies. She has spoken internationally at over 400 programs and serves on many committees of several professional organizations. She has ties with Abbott Diabetes Care, AstraZeneca Becton Dickinson, Boehringer Ingelheim Pharmaceuticals, Dexcom, Eli Lilly, Lexicon Pharmaceuticals, Livongo, MannKind Corporation, Medscape, Merck, Novo Nordisk, Omada Health, OptumHealth, Sanofi, and Zafgen. A version of this article originally appeared on Medscape.com.

The longer people had diabetes, the greater their rate of incident heart failure, suggests a recently published review of prospectively collected observational data from nearly 24,000 people with diabetes in the UK Biobank.

The findings “add to the growing body of evidence suggesting that duration of diabetes is an important and independent determinant of heart failure among patients with diabetes,” comments Justin B. Echouffo-Tcheugui, MD, PhD, in an accompanying editorial.

Collectively, the new UK Biobank results and prior findings, “provide additional persuasive evidence that the link between duration of diabetes and heart failure is real,” although the physiological mechanisms behind the relationship remain incompletely understood, wrote Dr. Echouffo-Tcheugui, an endocrinologist at Johns Hopkins Medicine, Baltimore.

“The duration of diabetes may reflect cumulative effects of various adverse processes in the setting of diabetes” that result in “intrinsic myocardial lesions,” he suggested. These adverse processes might include not only hyperglycemia, but also glucotoxicity, lipotoxicity, hyperinsulinemia, advanced glycosylation end products, oxidative stress, mitochondrial dysfunction, cardiac autonomic neuropathy, and coronary microvascular dysfunction. Long-duration diabetes may also contribute to declining kidney function, which can further worsen heart failure risk.

The upshot is that clinicians may need to consider more systematically the duration of diabetes when assessing people with diabetes for heart failure.

Existing risk-assessment tools for predicting heart failure in people with diabetes “have not always accounted for diabetes duration,” Dr. Echouffo-Tcheugui noted.
 

Intensify heart failure detection with longer diabetes duration

“Active heart failure detection should perhaps be intensified with increased diabetes duration,” Dr. Echouffo-Tcheugui suggested in his editorial. He noted that a 2022 consensus report by the American Diabetes Association recommends clinicians measure natriuretic peptide or high-sensitivity cardiac troponin in all people with diabetes “on at least a yearly basis to identify the earliest heart failure stages and implement strategies to prevent transition to symptomatic heart failure.”

The UK Biobank study was run by investigators primarily based in China and included data from 23,754 people with type 1 or type 2 diabetes and no heart failure at baseline. The prospectively collected data allowed for a median follow-up of 11.7 years, during which time 2,081 people developed incident heart failure.

In an analysis that divided participants into four categories of diabetes duration (< 5 years, 5-9 years, 10-14 years, and ≥ 15 years) and adjusted for potential confounders, heart failure incidence showed a significant 32% increased incidence among those with diabetes for at least 15 years, compared with those with diabetes for less than 5 years. People with a diabetes duration of 5-14 years showed a trend toward having more incident heart failure, compared with those with diabetes for less than 5 years, but the difference was not significant. 

An adjusted analysis also showed poor glycemic control at baseline (hemoglobin A1c ≥ 8.0%) significantly linked with a 46% increased incidence of heart failure, compared with those with baseline A1c less than 7.0%.
 

Additive effect?

When the authors analyzed the effect of both these variables, they saw a roughly additive effect.

Patients with diabetes for at least 15 years and a baseline A1c of at least 8.0% had a 98% increased incidence of heart failure, compared with those who had diabetes for less than 5 years and a baseline A1c less than 7.0%, after adjustment. This association was independent of age, sex, and race.

These findings “highlight the paramount role of the duration of diabetes and its interaction with glycemic control in the development of heart failure,” the authors concluded. “Long duration of diabetes and poor glycemic control may result in structural and functional changes in the myocardium, which is likely to underlie the pathogenesis of heart failure among individuals with diabetes.”

In his editorial, Dr. Echouffo-Tcheugui lauded the report for its “robust” analyses that included a large sample and accounted for key confounders, such as glycemic control. However, he also cited eight “shortcomings” of the study, including its sole reliance on A1c levels to identify diabetes, a likely underestimation of diabetes duration, the lumping together of people with type 1 and type 2 diabetes, and lack of a subanalysis of incident heart failure in those with preserved or reduced left ventricular ejection fraction.

Among prior reports of evidence also suggesting an effect of diabetes duration on incident heart failure, Dr. Echouffo-Tcheugui cited a study he led, published in 2021, that analyzed prospective, longitudinal, observational data from 9,734 adults enrolled in the Atherosclerosis Risk in Communities study. The results showed that, compared with those without diabetes, the incidence of heart failure rose with longer diabetes duration, with the highest risk among those with diabetes for at least 15 years, who had a 2.8-fold increase in heart failure versus the reference group. Each 5-year increase in diabetes duration was associated with a significant 17% relative increase in heart failure incidence.

The study received no commercial funding. The authors and editorialist reported no relevant financial relationships.

A version of this article first appeared on Medscape.com.

The longer people had diabetes, the greater their rate of incident heart failure, suggests a recently published review of prospectively collected observational data from nearly 24,000 people with diabetes in the UK Biobank.

The findings “add to the growing body of evidence suggesting that duration of diabetes is an important and independent determinant of heart failure among patients with diabetes,” comments Justin B. Echouffo-Tcheugui, MD, PhD, in an accompanying editorial.

Collectively, the new UK Biobank results and prior findings, “provide additional persuasive evidence that the link between duration of diabetes and heart failure is real,” although the physiological mechanisms behind the relationship remain incompletely understood, wrote Dr. Echouffo-Tcheugui, an endocrinologist at Johns Hopkins Medicine, Baltimore.

“The duration of diabetes may reflect cumulative effects of various adverse processes in the setting of diabetes” that result in “intrinsic myocardial lesions,” he suggested. These adverse processes might include not only hyperglycemia, but also glucotoxicity, lipotoxicity, hyperinsulinemia, advanced glycosylation end products, oxidative stress, mitochondrial dysfunction, cardiac autonomic neuropathy, and coronary microvascular dysfunction. Long-duration diabetes may also contribute to declining kidney function, which can further worsen heart failure risk.

The upshot is that clinicians may need to consider more systematically the duration of diabetes when assessing people with diabetes for heart failure.

Existing risk-assessment tools for predicting heart failure in people with diabetes “have not always accounted for diabetes duration,” Dr. Echouffo-Tcheugui noted.
 

Intensify heart failure detection with longer diabetes duration

“Active heart failure detection should perhaps be intensified with increased diabetes duration,” Dr. Echouffo-Tcheugui suggested in his editorial. He noted that a 2022 consensus report by the American Diabetes Association recommends clinicians measure natriuretic peptide or high-sensitivity cardiac troponin in all people with diabetes “on at least a yearly basis to identify the earliest heart failure stages and implement strategies to prevent transition to symptomatic heart failure.”

The UK Biobank study was run by investigators primarily based in China and included data from 23,754 people with type 1 or type 2 diabetes and no heart failure at baseline. The prospectively collected data allowed for a median follow-up of 11.7 years, during which time 2,081 people developed incident heart failure.

In an analysis that divided participants into four categories of diabetes duration (< 5 years, 5-9 years, 10-14 years, and ≥ 15 years) and adjusted for potential confounders, heart failure incidence showed a significant 32% increased incidence among those with diabetes for at least 15 years, compared with those with diabetes for less than 5 years. People with a diabetes duration of 5-14 years showed a trend toward having more incident heart failure, compared with those with diabetes for less than 5 years, but the difference was not significant. 

An adjusted analysis also showed poor glycemic control at baseline (hemoglobin A1c ≥ 8.0%) significantly linked with a 46% increased incidence of heart failure, compared with those with baseline A1c less than 7.0%.
 

Additive effect?

When the authors analyzed the effect of both these variables, they saw a roughly additive effect.

Patients with diabetes for at least 15 years and a baseline A1c of at least 8.0% had a 98% increased incidence of heart failure, compared with those who had diabetes for less than 5 years and a baseline A1c less than 7.0%, after adjustment. This association was independent of age, sex, and race.

These findings “highlight the paramount role of the duration of diabetes and its interaction with glycemic control in the development of heart failure,” the authors concluded. “Long duration of diabetes and poor glycemic control may result in structural and functional changes in the myocardium, which is likely to underlie the pathogenesis of heart failure among individuals with diabetes.”

In his editorial, Dr. Echouffo-Tcheugui lauded the report for its “robust” analyses that included a large sample and accounted for key confounders, such as glycemic control. However, he also cited eight “shortcomings” of the study, including its sole reliance on A1c levels to identify diabetes, a likely underestimation of diabetes duration, the lumping together of people with type 1 and type 2 diabetes, and lack of a subanalysis of incident heart failure in those with preserved or reduced left ventricular ejection fraction.

Among prior reports of evidence also suggesting an effect of diabetes duration on incident heart failure, Dr. Echouffo-Tcheugui cited a study he led, published in 2021, that analyzed prospective, longitudinal, observational data from 9,734 adults enrolled in the Atherosclerosis Risk in Communities study. The results showed that, compared with those without diabetes, the incidence of heart failure rose with longer diabetes duration, with the highest risk among those with diabetes for at least 15 years, who had a 2.8-fold increase in heart failure versus the reference group. Each 5-year increase in diabetes duration was associated with a significant 17% relative increase in heart failure incidence.

The study received no commercial funding. The authors and editorialist reported no relevant financial relationships.

A version of this article first appeared on Medscape.com.

The longer people had diabetes, the greater their rate of incident heart failure, suggests a recently published review of prospectively collected observational data from nearly 24,000 people with diabetes in the UK Biobank.

The findings “add to the growing body of evidence suggesting that duration of diabetes is an important and independent determinant of heart failure among patients with diabetes,” comments Justin B. Echouffo-Tcheugui, MD, PhD, in an accompanying editorial.

Collectively, the new UK Biobank results and prior findings, “provide additional persuasive evidence that the link between duration of diabetes and heart failure is real,” although the physiological mechanisms behind the relationship remain incompletely understood, wrote Dr. Echouffo-Tcheugui, an endocrinologist at Johns Hopkins Medicine, Baltimore.

“The duration of diabetes may reflect cumulative effects of various adverse processes in the setting of diabetes” that result in “intrinsic myocardial lesions,” he suggested. These adverse processes might include not only hyperglycemia, but also glucotoxicity, lipotoxicity, hyperinsulinemia, advanced glycosylation end products, oxidative stress, mitochondrial dysfunction, cardiac autonomic neuropathy, and coronary microvascular dysfunction. Long-duration diabetes may also contribute to declining kidney function, which can further worsen heart failure risk.

The upshot is that clinicians may need to consider more systematically the duration of diabetes when assessing people with diabetes for heart failure.

Existing risk-assessment tools for predicting heart failure in people with diabetes “have not always accounted for diabetes duration,” Dr. Echouffo-Tcheugui noted.
 

Intensify heart failure detection with longer diabetes duration

“Active heart failure detection should perhaps be intensified with increased diabetes duration,” Dr. Echouffo-Tcheugui suggested in his editorial. He noted that a 2022 consensus report by the American Diabetes Association recommends clinicians measure natriuretic peptide or high-sensitivity cardiac troponin in all people with diabetes “on at least a yearly basis to identify the earliest heart failure stages and implement strategies to prevent transition to symptomatic heart failure.”

The UK Biobank study was run by investigators primarily based in China and included data from 23,754 people with type 1 or type 2 diabetes and no heart failure at baseline. The prospectively collected data allowed for a median follow-up of 11.7 years, during which time 2,081 people developed incident heart failure.

In an analysis that divided participants into four categories of diabetes duration (< 5 years, 5-9 years, 10-14 years, and ≥ 15 years) and adjusted for potential confounders, heart failure incidence showed a significant 32% increased incidence among those with diabetes for at least 15 years, compared with those with diabetes for less than 5 years. People with a diabetes duration of 5-14 years showed a trend toward having more incident heart failure, compared with those with diabetes for less than 5 years, but the difference was not significant. 

An adjusted analysis also showed poor glycemic control at baseline (hemoglobin A1c ≥ 8.0%) significantly linked with a 46% increased incidence of heart failure, compared with those with baseline A1c less than 7.0%.
 

Additive effect?

When the authors analyzed the effect of both these variables, they saw a roughly additive effect.

Patients with diabetes for at least 15 years and a baseline A1c of at least 8.0% had a 98% increased incidence of heart failure, compared with those who had diabetes for less than 5 years and a baseline A1c less than 7.0%, after adjustment. This association was independent of age, sex, and race.

These findings “highlight the paramount role of the duration of diabetes and its interaction with glycemic control in the development of heart failure,” the authors concluded. “Long duration of diabetes and poor glycemic control may result in structural and functional changes in the myocardium, which is likely to underlie the pathogenesis of heart failure among individuals with diabetes.”

In his editorial, Dr. Echouffo-Tcheugui lauded the report for its “robust” analyses that included a large sample and accounted for key confounders, such as glycemic control. However, he also cited eight “shortcomings” of the study, including its sole reliance on A1c levels to identify diabetes, a likely underestimation of diabetes duration, the lumping together of people with type 1 and type 2 diabetes, and lack of a subanalysis of incident heart failure in those with preserved or reduced left ventricular ejection fraction.

Among prior reports of evidence also suggesting an effect of diabetes duration on incident heart failure, Dr. Echouffo-Tcheugui cited a study he led, published in 2021, that analyzed prospective, longitudinal, observational data from 9,734 adults enrolled in the Atherosclerosis Risk in Communities study. The results showed that, compared with those without diabetes, the incidence of heart failure rose with longer diabetes duration, with the highest risk among those with diabetes for at least 15 years, who had a 2.8-fold increase in heart failure versus the reference group. Each 5-year increase in diabetes duration was associated with a significant 17% relative increase in heart failure incidence.

The study received no commercial funding. The authors and editorialist reported no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Frequent visits to green spaces such as parks and community gardens are associated with a reduced use of certain prescription medications among city dwellers, a new analysis suggests.

In a cross-sectional cohort study, frequent green space visits were associated with less frequent use of psychotropic, antihypertensive, and asthma medications in urban environments.

Viewing green or so called “blue” spaces (views of lakes, rivers, or other water views) from the home was not associated with reduced medication use.

Flickr-Rickr [CC BY-SA 2.0](http://creativecommons.org/licenses/by-sa/2.0)], via Wikimedia Commons

Nature exposure a timely topic

Exposure to natural environments is thought to be beneficial for human health, but the evidence is inconsistent, Dr. Turunen said.

“The potential health benefits of nature exposure is a very timely topic in environmental epidemiology. Scientific evidence indicates that residential exposure to greenery and water bodies might be beneficial, especially for mental, cardiovascular, and respiratory health, but the findings are partly inconsistent and thus, more detailed information is needed,” she said.

In the current cross-sectional study, the investigators surveyed 16,000 residents of three urban areas in Finland – Helsinki, Espoo, and Vantaa – over the period of 12 months from 2015 to 2016, about their exposure to green and blue spaces.

Of this number, 43% responded, resulting in 7,321 participants.

In the questionnaire, green areas were defined as forests, parks, fields, meadows, boglands, and rocks, as well as any playgrounds or playing fields within those areas, and blue areas were defined as sea, lakes, and rivers. 

Residents were asked about their use of anxiolytics, hypnotics, antidepressants, antihypertensives, and asthma medication within the past 7 to 52 weeks.

They were also asked if they had any green and blue views from any of the windows of their home, and if so, how often did they look out of those windows, selecting “seldom” to “often.”

They were also asked about how much time they spent outdoors in green spaces during the months of May and September. If so, did they spend any of that time exercising? Options ranged from never to five or more times a week.

In addition, amounts of residential green and blue spaces located within a 1 km radius of the respondents’ homes were assessed from land use and land cover data.

Covariates included health behaviors, outdoor air pollution and noise, and socioeconomic status, including household income and educational attainment.

Results showed that the presence of green and blue spaces at home, and the amount of time spent viewing them, had no association with the use of the prescribed medicines.

However, greater frequency of green space visits was associated with lower odds of using the medications surveyed.

For psychotropic medications, the odds ratios were 0.67 (95% confidence interval, 0.55-0.82) for 3-4 times per week and 0.78 (95% CI, 0.63-0.96) for 5 or more times per week.

For antihypertensive meds, the ORs were 0.64 (95% CI, 0.52-0.78) for 3-4 times per week and 0.59 (95% CI, 0.48-0.74) for 5 or more times per week.

For asthma medications, the ORs were 0.74 (95% CI, 0.58-0.94) for 3-4 times per week and 0.76 (95% CI, 0.59-0.99) for 5 or more times per week.

The observed associations were attenuated by body mass index.

“We observed that those who reported visiting green spaces often had a slightly lower BMI than those who visited green spaces less often,” Dr. Turunen said. However, no consistent interactions with socioeconomic status indicators were observed.

“We are hoping to see new results from different countries and different settings,” she noted. “Longitudinal studies, especially, are needed. In epidemiology, a large body of consistent evidence is needed to draw strong conclusions and to make recommendations.”
 

Evidence mounts on the benefits of nature

There is growing evidence that exposure to nature could benefit human health, especially mental and cardiovascular health, says Jochem Klompmaker, PhD, a postdoctoral researcher in the department of environmental health at the Harvard T.H. Chan School of Public Health, Boston.

Dr. Klompmaker has researched the association between exposure to green spaces and health outcomes related to neurological diseases.

In a study recently published in JAMA Network Open, and reported by this news organization, Dr. Klompmaker and his team found that among a large cohort of about 6.7 million fee-for-service Medicare beneficiaries in the United States aged 65 or older, living in areas rich with greenery, parks, and waterways was associated with fewer hospitalizations for certain neurological disorders, including Parkinson’s disease, Alzheimer’s disease, and related dementias.

Commenting on the current study, Dr. Klompmaker noted its strengths.

“A particular strength of this study is that they used data about the amount of green and blue spaces around the residential addresses of the participants, data about green space visit frequency, and data about green and blue views from home. Most other studies only have data about the amount of green and blue spaces in general,” he said.

“The strong protective associations of frequency of green space visits make sense to me and indicate the importance of one’s actual nature exposure,” he added. “Like the results of our study, these results provide clinicians with more evidence of the importance of being close to nature and of encouraging patients to take more walks. If they live near a park, that could be a good place to be more physically active and reduce stress levels.”

The study was supported by the Academy of Finland and the Ministry of the Environment. Dr. Turunen and Dr. Klompmaker report no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Frequent visits to green spaces such as parks and community gardens are associated with a reduced use of certain prescription medications among city dwellers, a new analysis suggests.

In a cross-sectional cohort study, frequent green space visits were associated with less frequent use of psychotropic, antihypertensive, and asthma medications in urban environments.

Viewing green or so called “blue” spaces (views of lakes, rivers, or other water views) from the home was not associated with reduced medication use.

Flickr-Rickr [CC BY-SA 2.0](http://creativecommons.org/licenses/by-sa/2.0)], via Wikimedia Commons

Nature exposure a timely topic

Exposure to natural environments is thought to be beneficial for human health, but the evidence is inconsistent, Dr. Turunen said.

“The potential health benefits of nature exposure is a very timely topic in environmental epidemiology. Scientific evidence indicates that residential exposure to greenery and water bodies might be beneficial, especially for mental, cardiovascular, and respiratory health, but the findings are partly inconsistent and thus, more detailed information is needed,” she said.

In the current cross-sectional study, the investigators surveyed 16,000 residents of three urban areas in Finland – Helsinki, Espoo, and Vantaa – over the period of 12 months from 2015 to 2016, about their exposure to green and blue spaces.

Of this number, 43% responded, resulting in 7,321 participants.

In the questionnaire, green areas were defined as forests, parks, fields, meadows, boglands, and rocks, as well as any playgrounds or playing fields within those areas, and blue areas were defined as sea, lakes, and rivers. 

Residents were asked about their use of anxiolytics, hypnotics, antidepressants, antihypertensives, and asthma medication within the past 7 to 52 weeks.

They were also asked if they had any green and blue views from any of the windows of their home, and if so, how often did they look out of those windows, selecting “seldom” to “often.”

They were also asked about how much time they spent outdoors in green spaces during the months of May and September. If so, did they spend any of that time exercising? Options ranged from never to five or more times a week.

In addition, amounts of residential green and blue spaces located within a 1 km radius of the respondents’ homes were assessed from land use and land cover data.

Covariates included health behaviors, outdoor air pollution and noise, and socioeconomic status, including household income and educational attainment.

Results showed that the presence of green and blue spaces at home, and the amount of time spent viewing them, had no association with the use of the prescribed medicines.

However, greater frequency of green space visits was associated with lower odds of using the medications surveyed.

For psychotropic medications, the odds ratios were 0.67 (95% confidence interval, 0.55-0.82) for 3-4 times per week and 0.78 (95% CI, 0.63-0.96) for 5 or more times per week.

For antihypertensive meds, the ORs were 0.64 (95% CI, 0.52-0.78) for 3-4 times per week and 0.59 (95% CI, 0.48-0.74) for 5 or more times per week.

For asthma medications, the ORs were 0.74 (95% CI, 0.58-0.94) for 3-4 times per week and 0.76 (95% CI, 0.59-0.99) for 5 or more times per week.

The observed associations were attenuated by body mass index.

“We observed that those who reported visiting green spaces often had a slightly lower BMI than those who visited green spaces less often,” Dr. Turunen said. However, no consistent interactions with socioeconomic status indicators were observed.

“We are hoping to see new results from different countries and different settings,” she noted. “Longitudinal studies, especially, are needed. In epidemiology, a large body of consistent evidence is needed to draw strong conclusions and to make recommendations.”
 

Evidence mounts on the benefits of nature

There is growing evidence that exposure to nature could benefit human health, especially mental and cardiovascular health, says Jochem Klompmaker, PhD, a postdoctoral researcher in the department of environmental health at the Harvard T.H. Chan School of Public Health, Boston.

Dr. Klompmaker has researched the association between exposure to green spaces and health outcomes related to neurological diseases.

In a study recently published in JAMA Network Open, and reported by this news organization, Dr. Klompmaker and his team found that among a large cohort of about 6.7 million fee-for-service Medicare beneficiaries in the United States aged 65 or older, living in areas rich with greenery, parks, and waterways was associated with fewer hospitalizations for certain neurological disorders, including Parkinson’s disease, Alzheimer’s disease, and related dementias.

Commenting on the current study, Dr. Klompmaker noted its strengths.

“A particular strength of this study is that they used data about the amount of green and blue spaces around the residential addresses of the participants, data about green space visit frequency, and data about green and blue views from home. Most other studies only have data about the amount of green and blue spaces in general,” he said.

“The strong protective associations of frequency of green space visits make sense to me and indicate the importance of one’s actual nature exposure,” he added. “Like the results of our study, these results provide clinicians with more evidence of the importance of being close to nature and of encouraging patients to take more walks. If they live near a park, that could be a good place to be more physically active and reduce stress levels.”

The study was supported by the Academy of Finland and the Ministry of the Environment. Dr. Turunen and Dr. Klompmaker report no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Frequent visits to green spaces such as parks and community gardens are associated with a reduced use of certain prescription medications among city dwellers, a new analysis suggests.

In a cross-sectional cohort study, frequent green space visits were associated with less frequent use of psychotropic, antihypertensive, and asthma medications in urban environments.

Viewing green or so called “blue” spaces (views of lakes, rivers, or other water views) from the home was not associated with reduced medication use.

Flickr-Rickr [CC BY-SA 2.0](http://creativecommons.org/licenses/by-sa/2.0)], via Wikimedia Commons

Nature exposure a timely topic

Exposure to natural environments is thought to be beneficial for human health, but the evidence is inconsistent, Dr. Turunen said.

“The potential health benefits of nature exposure is a very timely topic in environmental epidemiology. Scientific evidence indicates that residential exposure to greenery and water bodies might be beneficial, especially for mental, cardiovascular, and respiratory health, but the findings are partly inconsistent and thus, more detailed information is needed,” she said.

In the current cross-sectional study, the investigators surveyed 16,000 residents of three urban areas in Finland – Helsinki, Espoo, and Vantaa – over the period of 12 months from 2015 to 2016, about their exposure to green and blue spaces.

Of this number, 43% responded, resulting in 7,321 participants.

In the questionnaire, green areas were defined as forests, parks, fields, meadows, boglands, and rocks, as well as any playgrounds or playing fields within those areas, and blue areas were defined as sea, lakes, and rivers. 

Residents were asked about their use of anxiolytics, hypnotics, antidepressants, antihypertensives, and asthma medication within the past 7 to 52 weeks.

They were also asked if they had any green and blue views from any of the windows of their home, and if so, how often did they look out of those windows, selecting “seldom” to “often.”

They were also asked about how much time they spent outdoors in green spaces during the months of May and September. If so, did they spend any of that time exercising? Options ranged from never to five or more times a week.

In addition, amounts of residential green and blue spaces located within a 1 km radius of the respondents’ homes were assessed from land use and land cover data.

Covariates included health behaviors, outdoor air pollution and noise, and socioeconomic status, including household income and educational attainment.

Results showed that the presence of green and blue spaces at home, and the amount of time spent viewing them, had no association with the use of the prescribed medicines.

However, greater frequency of green space visits was associated with lower odds of using the medications surveyed.

For psychotropic medications, the odds ratios were 0.67 (95% confidence interval, 0.55-0.82) for 3-4 times per week and 0.78 (95% CI, 0.63-0.96) for 5 or more times per week.

For antihypertensive meds, the ORs were 0.64 (95% CI, 0.52-0.78) for 3-4 times per week and 0.59 (95% CI, 0.48-0.74) for 5 or more times per week.

For asthma medications, the ORs were 0.74 (95% CI, 0.58-0.94) for 3-4 times per week and 0.76 (95% CI, 0.59-0.99) for 5 or more times per week.

The observed associations were attenuated by body mass index.

“We observed that those who reported visiting green spaces often had a slightly lower BMI than those who visited green spaces less often,” Dr. Turunen said. However, no consistent interactions with socioeconomic status indicators were observed.

“We are hoping to see new results from different countries and different settings,” she noted. “Longitudinal studies, especially, are needed. In epidemiology, a large body of consistent evidence is needed to draw strong conclusions and to make recommendations.”
 

Evidence mounts on the benefits of nature

There is growing evidence that exposure to nature could benefit human health, especially mental and cardiovascular health, says Jochem Klompmaker, PhD, a postdoctoral researcher in the department of environmental health at the Harvard T.H. Chan School of Public Health, Boston.

Dr. Klompmaker has researched the association between exposure to green spaces and health outcomes related to neurological diseases.

In a study recently published in JAMA Network Open, and reported by this news organization, Dr. Klompmaker and his team found that among a large cohort of about 6.7 million fee-for-service Medicare beneficiaries in the United States aged 65 or older, living in areas rich with greenery, parks, and waterways was associated with fewer hospitalizations for certain neurological disorders, including Parkinson’s disease, Alzheimer’s disease, and related dementias.

Commenting on the current study, Dr. Klompmaker noted its strengths.

“A particular strength of this study is that they used data about the amount of green and blue spaces around the residential addresses of the participants, data about green space visit frequency, and data about green and blue views from home. Most other studies only have data about the amount of green and blue spaces in general,” he said.

“The strong protective associations of frequency of green space visits make sense to me and indicate the importance of one’s actual nature exposure,” he added. “Like the results of our study, these results provide clinicians with more evidence of the importance of being close to nature and of encouraging patients to take more walks. If they live near a park, that could be a good place to be more physically active and reduce stress levels.”

The study was supported by the Academy of Finland and the Ministry of the Environment. Dr. Turunen and Dr. Klompmaker report no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Contrary to common belief, potatoes do not have a negative effect on blood glucose levels and can actually help people lose weight, according to researchers at Louisiana State University’s Pennington Biomedical Research Center, Baton Rouge.

What to know

Potatoes are filled with key nutrients, packed with health benefits, and do not increase the risk of type 2 diabetes, as has been assumed.

People tend to eat the same weight of food regardless of calorie content to feel full, so by eating foods that are heavier in weight and that are low in calories, you can reduce the number of calories you consume.

Study participants found themselves fuller, and full more quickly, and often did not even finish their meal when the high-calorie items of their meals were replaced with potatoes.

Participants had overweight, obesity, or insulin resistance, but their blood glucose levels were not negatively affected by the potato consumption, and all of those involved actually lost weight.

People typically do not stick with a diet they don’t like or that isn't varied enough, but potatoes can be prepared in numerous ways for variety in a diet, and they are a fairly inexpensive vegetable to incorporate into a diet.

This is a summary of the article, "Low-Energy Dense Potato- and Bean-Based Diets Reduce Body Weight and Insulin Resistance: A Randomized, Feeding, Equivalence Trial," published in the Journal of Medicinal Food on November 11, 2022. The full article can be found on pubmed.ncbi.nlm.nih.gov.

A version of this article first appeared on Medscape.com.

Contrary to common belief, potatoes do not have a negative effect on blood glucose levels and can actually help people lose weight, according to researchers at Louisiana State University’s Pennington Biomedical Research Center, Baton Rouge.

What to know

Potatoes are filled with key nutrients, packed with health benefits, and do not increase the risk of type 2 diabetes, as has been assumed.

People tend to eat the same weight of food regardless of calorie content to feel full, so by eating foods that are heavier in weight and that are low in calories, you can reduce the number of calories you consume.

Study participants found themselves fuller, and full more quickly, and often did not even finish their meal when the high-calorie items of their meals were replaced with potatoes.

Participants had overweight, obesity, or insulin resistance, but their blood glucose levels were not negatively affected by the potato consumption, and all of those involved actually lost weight.

People typically do not stick with a diet they don’t like or that isn't varied enough, but potatoes can be prepared in numerous ways for variety in a diet, and they are a fairly inexpensive vegetable to incorporate into a diet.

This is a summary of the article, "Low-Energy Dense Potato- and Bean-Based Diets Reduce Body Weight and Insulin Resistance: A Randomized, Feeding, Equivalence Trial," published in the Journal of Medicinal Food on November 11, 2022. The full article can be found on pubmed.ncbi.nlm.nih.gov.

A version of this article first appeared on Medscape.com.

Contrary to common belief, potatoes do not have a negative effect on blood glucose levels and can actually help people lose weight, according to researchers at Louisiana State University’s Pennington Biomedical Research Center, Baton Rouge.

What to know

Potatoes are filled with key nutrients, packed with health benefits, and do not increase the risk of type 2 diabetes, as has been assumed.

People tend to eat the same weight of food regardless of calorie content to feel full, so by eating foods that are heavier in weight and that are low in calories, you can reduce the number of calories you consume.

Study participants found themselves fuller, and full more quickly, and often did not even finish their meal when the high-calorie items of their meals were replaced with potatoes.

Participants had overweight, obesity, or insulin resistance, but their blood glucose levels were not negatively affected by the potato consumption, and all of those involved actually lost weight.

People typically do not stick with a diet they don’t like or that isn't varied enough, but potatoes can be prepared in numerous ways for variety in a diet, and they are a fairly inexpensive vegetable to incorporate into a diet.

This is a summary of the article, "Low-Energy Dense Potato- and Bean-Based Diets Reduce Body Weight and Insulin Resistance: A Randomized, Feeding, Equivalence Trial," published in the Journal of Medicinal Food on November 11, 2022. The full article can be found on pubmed.ncbi.nlm.nih.gov.

A version of this article first appeared on Medscape.com.