Obesity

PHILADELPHIA – Women with obesity who underwent a lifestyle program targeting healthy eating and physical activity were significantly more likely to achieve pregnancy or become spontaneously pregnant, Jean-Patrice Baillargeon, MD, MSc, reported at the annual meeting of the American Society for Reproductive Medicine.

World Obesity Federation

However, women with polycystic ovary syndrome (PCOS) in the study appeared to benefit more than did women without PCOS who participated in the lifestyle program, said Dr. Baillargeon, from the University of Sherbrooke (Que.).

“Our lifestyle program targeting women with obesity seeking fertility treatments increased the chances of conceiving, mainly spontaneously. Women with PCOS seemed to benefit more from such a program,” said Dr. Baillargeon.

“These benefits occur along with small changes in weight, but important improvements in lifestyle, so lifestyle seems to be more important than weight change here,” he added.

The researchers randomized 130 women to receive the Fit-For-Fertility lifestyle program or usual care for infertility. The lifestyle program consisted of a low-intensity weekly intervention for 6 weeks in which patients met individually with a kinesiologist and nutritionist every week and also attended group sessions each week. Women in the intervention did not receive fertility treatment for the first 6 months while on the lifestyle program, and if they did not conceive during that time, they continued the program in combination with fertility treatments.

Patients were included if they were aged 18-40 years and had either infertility and a body mass index of 30 kg/m² or greater or PCOS and a BMI of 27 kg/m² or greater. Researchers excluded women planning to undergo bariatric surgery, women who were already undergoing another lifestyle intervention, and women with severe infertility or who had a male partner with severe infertility for whom in vitro fertilization was their only option for conceiving. Researchers collected data from patients at baseline and every 6 months up to 18 months, with additional visits for pregnant women scheduled at the beginning of pregnancy and at 26 weeks’ gestation. They collected baseline data on age, BMI, waist circumference, fat mass percentage, daily energy expenditure, and food frequency using the Healthy Eating Index (HEI).

Overall, 46 women in the intervention group and 52 women in the control group had a research visit at 6 months or pregnancy research visit at less than 6 months; of these, 33 women in the intervention group (65%) and 35 women in the control group (61%) had PCOS. At baseline, both PCOS and non-PCOS groups were similar; however, women in the PCOS intervention group had a lower BMI than did women without PCOS in the intervention group (37 kg/m² vs. 41 kg/m²; P less than .05), while women without PCOS in the intervention group had a higher fat mass percentage than did women with PCOS in the intervention group (46% vs. 49%; P less than .05).

With regard to weight loss, there was a 2.4% reduction in weight among all patients in the intervention group, compared with the control group (P = .003), with a 2.7% reduction in weight for the PCOS group (P = .015) and a 1.8% reduction in the non-PCOS group (P = .139). However, there were no significant differences between PCOS status and the lifestyle intervention, said Dr. Baillargeon.

At 6 months, the quality of women’s diets in the combined PCOS and non-PCOS group that participated in the lifestyle program showed significant improvement, compared with control groups (HEI, 18% vs. 5%; P less than .001). The PCOS group on its own showed significant improvement with the intervention (20% vs. 4%; P less than .001), whereas women without PCOS showed a nonsignificant improvement with the intervention (14% vs. 6%; P = .055). Daily energy expenditure improved in all groups that received the intervention, compared with the control groups, but there were no significant between-group differences in energy expenditure.

When analyzing fertility outcomes at 18 months, the pregnancy rate for all patients who received lifestyle interventions was 61%, compared with 39% in the control group (P = .02; number needed to treat, 4.5). In women with PCOS, those who underwent the lifestyle intervention had a pregnancy rate of 58%, compared with 34% in the control group (P = .05; NNT, 4.3); although women without PCOS who participated in the lifestyle program had an improved pregnancy rate over women in the control group, the results were not significant (67% vs. 46%; P = .18; NNT, 4.7).

The researchers also looked at the spontaneous pregnancy rate and found women who received the intervention had nearly three times the rate of spontaneous pregnancy, compared with women in the control group (33% vs. 12%; P = .01), while women with PCOS in the lifestyle program had nearly five times the rate of spontaneous pregnancy, compared with the control group (27% vs. 6%; P = .02). Women without PCOS in the lifestyle program had nearly twice the increased likelihood of spontaneous pregnancy, but the results were not significant (44% vs. 23%; P = .15).

Women with PCOS in the lifestyle program also had a higher live birth rate, compared with women in the control group (55% vs. 31%; P = .05; NNT, 4.3). Although women without PCOS in the lifestyle program (67% vs. 46%; P = .18; NNT, 4.7) and women in the study overall experienced higher live birth rates (51% vs. 37%; P = .14; NNT, 7.0), compared with the control group, these results were not significant, said Dr. Baillargeon.

“Such lifestyle interventions in women with obesity could significantly lower costs of fertility treatments, which is important,” concluded Dr. Baillargeon.

The Fit-For-Fertility program was funded by an unrestricted grant from Ferring.

SOURCE: Baillargeon J-P, et al. ASRM 2019. Abstract O-95.

PHILADELPHIA – Women with obesity who underwent a lifestyle program targeting healthy eating and physical activity were significantly more likely to achieve pregnancy or become spontaneously pregnant, Jean-Patrice Baillargeon, MD, MSc, reported at the annual meeting of the American Society for Reproductive Medicine.

World Obesity Federation

However, women with polycystic ovary syndrome (PCOS) in the study appeared to benefit more than did women without PCOS who participated in the lifestyle program, said Dr. Baillargeon, from the University of Sherbrooke (Que.).

“Our lifestyle program targeting women with obesity seeking fertility treatments increased the chances of conceiving, mainly spontaneously. Women with PCOS seemed to benefit more from such a program,” said Dr. Baillargeon.

“These benefits occur along with small changes in weight, but important improvements in lifestyle, so lifestyle seems to be more important than weight change here,” he added.

The researchers randomized 130 women to receive the Fit-For-Fertility lifestyle program or usual care for infertility. The lifestyle program consisted of a low-intensity weekly intervention for 6 weeks in which patients met individually with a kinesiologist and nutritionist every week and also attended group sessions each week. Women in the intervention did not receive fertility treatment for the first 6 months while on the lifestyle program, and if they did not conceive during that time, they continued the program in combination with fertility treatments.

Patients were included if they were aged 18-40 years and had either infertility and a body mass index of 30 kg/m² or greater or PCOS and a BMI of 27 kg/m² or greater. Researchers excluded women planning to undergo bariatric surgery, women who were already undergoing another lifestyle intervention, and women with severe infertility or who had a male partner with severe infertility for whom in vitro fertilization was their only option for conceiving. Researchers collected data from patients at baseline and every 6 months up to 18 months, with additional visits for pregnant women scheduled at the beginning of pregnancy and at 26 weeks’ gestation. They collected baseline data on age, BMI, waist circumference, fat mass percentage, daily energy expenditure, and food frequency using the Healthy Eating Index (HEI).

Overall, 46 women in the intervention group and 52 women in the control group had a research visit at 6 months or pregnancy research visit at less than 6 months; of these, 33 women in the intervention group (65%) and 35 women in the control group (61%) had PCOS. At baseline, both PCOS and non-PCOS groups were similar; however, women in the PCOS intervention group had a lower BMI than did women without PCOS in the intervention group (37 kg/m² vs. 41 kg/m²; P less than .05), while women without PCOS in the intervention group had a higher fat mass percentage than did women with PCOS in the intervention group (46% vs. 49%; P less than .05).

With regard to weight loss, there was a 2.4% reduction in weight among all patients in the intervention group, compared with the control group (P = .003), with a 2.7% reduction in weight for the PCOS group (P = .015) and a 1.8% reduction in the non-PCOS group (P = .139). However, there were no significant differences between PCOS status and the lifestyle intervention, said Dr. Baillargeon.

At 6 months, the quality of women’s diets in the combined PCOS and non-PCOS group that participated in the lifestyle program showed significant improvement, compared with control groups (HEI, 18% vs. 5%; P less than .001). The PCOS group on its own showed significant improvement with the intervention (20% vs. 4%; P less than .001), whereas women without PCOS showed a nonsignificant improvement with the intervention (14% vs. 6%; P = .055). Daily energy expenditure improved in all groups that received the intervention, compared with the control groups, but there were no significant between-group differences in energy expenditure.

When analyzing fertility outcomes at 18 months, the pregnancy rate for all patients who received lifestyle interventions was 61%, compared with 39% in the control group (P = .02; number needed to treat, 4.5). In women with PCOS, those who underwent the lifestyle intervention had a pregnancy rate of 58%, compared with 34% in the control group (P = .05; NNT, 4.3); although women without PCOS who participated in the lifestyle program had an improved pregnancy rate over women in the control group, the results were not significant (67% vs. 46%; P = .18; NNT, 4.7).

The researchers also looked at the spontaneous pregnancy rate and found women who received the intervention had nearly three times the rate of spontaneous pregnancy, compared with women in the control group (33% vs. 12%; P = .01), while women with PCOS in the lifestyle program had nearly five times the rate of spontaneous pregnancy, compared with the control group (27% vs. 6%; P = .02). Women without PCOS in the lifestyle program had nearly twice the increased likelihood of spontaneous pregnancy, but the results were not significant (44% vs. 23%; P = .15).

Women with PCOS in the lifestyle program also had a higher live birth rate, compared with women in the control group (55% vs. 31%; P = .05; NNT, 4.3). Although women without PCOS in the lifestyle program (67% vs. 46%; P = .18; NNT, 4.7) and women in the study overall experienced higher live birth rates (51% vs. 37%; P = .14; NNT, 7.0), compared with the control group, these results were not significant, said Dr. Baillargeon.

“Such lifestyle interventions in women with obesity could significantly lower costs of fertility treatments, which is important,” concluded Dr. Baillargeon.

The Fit-For-Fertility program was funded by an unrestricted grant from Ferring.

SOURCE: Baillargeon J-P, et al. ASRM 2019. Abstract O-95.

PHILADELPHIA – Women with obesity who underwent a lifestyle program targeting healthy eating and physical activity were significantly more likely to achieve pregnancy or become spontaneously pregnant, Jean-Patrice Baillargeon, MD, MSc, reported at the annual meeting of the American Society for Reproductive Medicine.

World Obesity Federation

However, women with polycystic ovary syndrome (PCOS) in the study appeared to benefit more than did women without PCOS who participated in the lifestyle program, said Dr. Baillargeon, from the University of Sherbrooke (Que.).

“Our lifestyle program targeting women with obesity seeking fertility treatments increased the chances of conceiving, mainly spontaneously. Women with PCOS seemed to benefit more from such a program,” said Dr. Baillargeon.

“These benefits occur along with small changes in weight, but important improvements in lifestyle, so lifestyle seems to be more important than weight change here,” he added.

The researchers randomized 130 women to receive the Fit-For-Fertility lifestyle program or usual care for infertility. The lifestyle program consisted of a low-intensity weekly intervention for 6 weeks in which patients met individually with a kinesiologist and nutritionist every week and also attended group sessions each week. Women in the intervention did not receive fertility treatment for the first 6 months while on the lifestyle program, and if they did not conceive during that time, they continued the program in combination with fertility treatments.

Patients were included if they were aged 18-40 years and had either infertility and a body mass index of 30 kg/m² or greater or PCOS and a BMI of 27 kg/m² or greater. Researchers excluded women planning to undergo bariatric surgery, women who were already undergoing another lifestyle intervention, and women with severe infertility or who had a male partner with severe infertility for whom in vitro fertilization was their only option for conceiving. Researchers collected data from patients at baseline and every 6 months up to 18 months, with additional visits for pregnant women scheduled at the beginning of pregnancy and at 26 weeks’ gestation. They collected baseline data on age, BMI, waist circumference, fat mass percentage, daily energy expenditure, and food frequency using the Healthy Eating Index (HEI).

Overall, 46 women in the intervention group and 52 women in the control group had a research visit at 6 months or pregnancy research visit at less than 6 months; of these, 33 women in the intervention group (65%) and 35 women in the control group (61%) had PCOS. At baseline, both PCOS and non-PCOS groups were similar; however, women in the PCOS intervention group had a lower BMI than did women without PCOS in the intervention group (37 kg/m² vs. 41 kg/m²; P less than .05), while women without PCOS in the intervention group had a higher fat mass percentage than did women with PCOS in the intervention group (46% vs. 49%; P less than .05).

With regard to weight loss, there was a 2.4% reduction in weight among all patients in the intervention group, compared with the control group (P = .003), with a 2.7% reduction in weight for the PCOS group (P = .015) and a 1.8% reduction in the non-PCOS group (P = .139). However, there were no significant differences between PCOS status and the lifestyle intervention, said Dr. Baillargeon.

At 6 months, the quality of women’s diets in the combined PCOS and non-PCOS group that participated in the lifestyle program showed significant improvement, compared with control groups (HEI, 18% vs. 5%; P less than .001). The PCOS group on its own showed significant improvement with the intervention (20% vs. 4%; P less than .001), whereas women without PCOS showed a nonsignificant improvement with the intervention (14% vs. 6%; P = .055). Daily energy expenditure improved in all groups that received the intervention, compared with the control groups, but there were no significant between-group differences in energy expenditure.

When analyzing fertility outcomes at 18 months, the pregnancy rate for all patients who received lifestyle interventions was 61%, compared with 39% in the control group (P = .02; number needed to treat, 4.5). In women with PCOS, those who underwent the lifestyle intervention had a pregnancy rate of 58%, compared with 34% in the control group (P = .05; NNT, 4.3); although women without PCOS who participated in the lifestyle program had an improved pregnancy rate over women in the control group, the results were not significant (67% vs. 46%; P = .18; NNT, 4.7).

The researchers also looked at the spontaneous pregnancy rate and found women who received the intervention had nearly three times the rate of spontaneous pregnancy, compared with women in the control group (33% vs. 12%; P = .01), while women with PCOS in the lifestyle program had nearly five times the rate of spontaneous pregnancy, compared with the control group (27% vs. 6%; P = .02). Women without PCOS in the lifestyle program had nearly twice the increased likelihood of spontaneous pregnancy, but the results were not significant (44% vs. 23%; P = .15).

Women with PCOS in the lifestyle program also had a higher live birth rate, compared with women in the control group (55% vs. 31%; P = .05; NNT, 4.3). Although women without PCOS in the lifestyle program (67% vs. 46%; P = .18; NNT, 4.7) and women in the study overall experienced higher live birth rates (51% vs. 37%; P = .14; NNT, 7.0), compared with the control group, these results were not significant, said Dr. Baillargeon.

“Such lifestyle interventions in women with obesity could significantly lower costs of fertility treatments, which is important,” concluded Dr. Baillargeon.

The Fit-For-Fertility program was funded by an unrestricted grant from Ferring.

SOURCE: Baillargeon J-P, et al. ASRM 2019. Abstract O-95.

A cardiologist friend of mine told me a story about one of his patients. The man had recently been in to see him for an office visit. He had quite a scare needing two stents after an episode of prolonged chest pain and, during the office visit, apparently had said that he had “found religion” and was going to change his ways. He showed off the Fitbit that he had gotten and shared his excitement about using a new app to track his diet on his smart phone. His blood pressure was a little elevated, so my friend added a third antihypertensive in an effort to get his blood pressure under control. He referred the patient back to his primary care physician to address his elevated hemoglobin A_1c.

My friend saw the patient again a couple of weeks later – this time at the mall. As he was driving through the parking lot, he noticed his patient sitting on a bench outside the entrance. He also noticed a cigarette in his patient’s right hand and saw the Fitbit still on his wrist. Now, it’s not that there is anything wrong with wearing a Fitbit, but …

My friend is an incredibly respectful person, and very nice. He decided not to say hello and risk embarrassing his patient, so he walked to a different door far from the bench and went inside. Nonetheless, the image bothered him. It bothered him enough to repeat the story to me 2 weeks later. It bothers me too.

The other day I was talking to a healthy young nurse with whom I work. She has been trying to get into shape, and her goal is to get to the gym 5 days a week after work. She read on a popular website that she should use a heart rate monitor to keep track of her training and that, if her heart rate is too slow, she should run faster and, if her heart rate is too fast, she should slow down. She was discouraged the other day, however, because her watch indicated that her pulse was going up to 170 while she was running hard, and she had heard that could be dangerous for her heart.

When she doesn’t push hard, though, she told me that her heart rate often plateaus at about 110, sometimes 115. She has been finding it difficult to achieve her calculated target heart rate of 120-160 beats per minute. She is frustrated and was going to skip her workout that evening. I explained to her that she should stop checking her pulse and just run – if she felt she was running too slow she could run faster.

Technology holds great promise to help us improve our health, but an over-reliance on technology can get in our way. With everything that we have learned about science and technology, the reality is that we are still people, with all our weaknesses and strengths. We often set goals with ambivalence, then rush forward hoping that a technological solution will move us in the direction we think we want to move. Unfortunately, owning a Fitbit will not make us more fit, and checking our pulse every five minutes while working out will not lead to a better exercise session. With the availability of so much technology for tracking our daily exercise, vital signs, and various other measures of health, we need to be more careful than ever to determine specifically what it is that we are trying to accomplish with the use of our technology.

When it comes to good health, it is the fundamentals that matter, and achieving the fundamentals requires being mindful and making repeated efforts to master them. For almost all adults, the most important habits to develop are still related to diet and exercise. Consuming the right diet and exercising adequately requires that the correct choices be made each and every day, all day long. Technology can help but will not do it for us. We need to be thoughtful about how we use technology and explicit about how we expect it to help. After a reasonable amount of time, we should evaluate to see if it is working for us. If it is, then we should continue to use it. If it is not, then we should stop using it or make a different change, like performing a new type of exercise.

Our goal should be to have intelligent empathic integration of technological and behavioral techniques to achieve an optimal health outcome. Putting running shoes by the bed at night is a great thing to do to encourage us to run in the morning. Choosing motivational music can help us get the energy and enthusiasm to go for that run (our favorites include the Rocky theme song and “I Didn’t Come this Far to Only Come this Far”). A visual reminder over the refrigerator can “nudge” us to make good choices as we open the door.

For those who want to learn more about how to integrate behavioral management into their advice for patients we highly recommend reading “Switch: How to Change Things When Change Is Hard” by Chip Heath and “Nudge: Improving Decisions About Health, Wealth, and Happiness” by Richard Thaler. We have always been, and remain, excited about the promise of technology to help us accomplish our goals. That said, we told the nurse to stop checking her pulse, to put on some music, and to appreciate the leaves on the trees this autumn while she was running. As for the gentleman outside the mall, well …

We are interested in your thoughts. Please email us at fpnews@mdedge.com.

Dr. Notte is a family physician and associate chief medical information officer for Abington (Pa.) Jefferson Health. Follow him on Twitter @doctornotte. Dr. Skolnik is professor of family and community medicine at Jefferson Medical College, Philadelphia, and an associate director of the family medicine residency program at Abington Jefferson Health.

A cardiologist friend of mine told me a story about one of his patients. The man had recently been in to see him for an office visit. He had quite a scare needing two stents after an episode of prolonged chest pain and, during the office visit, apparently had said that he had “found religion” and was going to change his ways. He showed off the Fitbit that he had gotten and shared his excitement about using a new app to track his diet on his smart phone. His blood pressure was a little elevated, so my friend added a third antihypertensive in an effort to get his blood pressure under control. He referred the patient back to his primary care physician to address his elevated hemoglobin A_1c.

My friend saw the patient again a couple of weeks later – this time at the mall. As he was driving through the parking lot, he noticed his patient sitting on a bench outside the entrance. He also noticed a cigarette in his patient’s right hand and saw the Fitbit still on his wrist. Now, it’s not that there is anything wrong with wearing a Fitbit, but …

My friend is an incredibly respectful person, and very nice. He decided not to say hello and risk embarrassing his patient, so he walked to a different door far from the bench and went inside. Nonetheless, the image bothered him. It bothered him enough to repeat the story to me 2 weeks later. It bothers me too.

The other day I was talking to a healthy young nurse with whom I work. She has been trying to get into shape, and her goal is to get to the gym 5 days a week after work. She read on a popular website that she should use a heart rate monitor to keep track of her training and that, if her heart rate is too slow, she should run faster and, if her heart rate is too fast, she should slow down. She was discouraged the other day, however, because her watch indicated that her pulse was going up to 170 while she was running hard, and she had heard that could be dangerous for her heart.

When she doesn’t push hard, though, she told me that her heart rate often plateaus at about 110, sometimes 115. She has been finding it difficult to achieve her calculated target heart rate of 120-160 beats per minute. She is frustrated and was going to skip her workout that evening. I explained to her that she should stop checking her pulse and just run – if she felt she was running too slow she could run faster.

Technology holds great promise to help us improve our health, but an over-reliance on technology can get in our way. With everything that we have learned about science and technology, the reality is that we are still people, with all our weaknesses and strengths. We often set goals with ambivalence, then rush forward hoping that a technological solution will move us in the direction we think we want to move. Unfortunately, owning a Fitbit will not make us more fit, and checking our pulse every five minutes while working out will not lead to a better exercise session. With the availability of so much technology for tracking our daily exercise, vital signs, and various other measures of health, we need to be more careful than ever to determine specifically what it is that we are trying to accomplish with the use of our technology.

When it comes to good health, it is the fundamentals that matter, and achieving the fundamentals requires being mindful and making repeated efforts to master them. For almost all adults, the most important habits to develop are still related to diet and exercise. Consuming the right diet and exercising adequately requires that the correct choices be made each and every day, all day long. Technology can help but will not do it for us. We need to be thoughtful about how we use technology and explicit about how we expect it to help. After a reasonable amount of time, we should evaluate to see if it is working for us. If it is, then we should continue to use it. If it is not, then we should stop using it or make a different change, like performing a new type of exercise.

Our goal should be to have intelligent empathic integration of technological and behavioral techniques to achieve an optimal health outcome. Putting running shoes by the bed at night is a great thing to do to encourage us to run in the morning. Choosing motivational music can help us get the energy and enthusiasm to go for that run (our favorites include the Rocky theme song and “I Didn’t Come this Far to Only Come this Far”). A visual reminder over the refrigerator can “nudge” us to make good choices as we open the door.

For those who want to learn more about how to integrate behavioral management into their advice for patients we highly recommend reading “Switch: How to Change Things When Change Is Hard” by Chip Heath and “Nudge: Improving Decisions About Health, Wealth, and Happiness” by Richard Thaler. We have always been, and remain, excited about the promise of technology to help us accomplish our goals. That said, we told the nurse to stop checking her pulse, to put on some music, and to appreciate the leaves on the trees this autumn while she was running. As for the gentleman outside the mall, well …

We are interested in your thoughts. Please email us at fpnews@mdedge.com.

Dr. Notte is a family physician and associate chief medical information officer for Abington (Pa.) Jefferson Health. Follow him on Twitter @doctornotte. Dr. Skolnik is professor of family and community medicine at Jefferson Medical College, Philadelphia, and an associate director of the family medicine residency program at Abington Jefferson Health.

A cardiologist friend of mine told me a story about one of his patients. The man had recently been in to see him for an office visit. He had quite a scare needing two stents after an episode of prolonged chest pain and, during the office visit, apparently had said that he had “found religion” and was going to change his ways. He showed off the Fitbit that he had gotten and shared his excitement about using a new app to track his diet on his smart phone. His blood pressure was a little elevated, so my friend added a third antihypertensive in an effort to get his blood pressure under control. He referred the patient back to his primary care physician to address his elevated hemoglobin A_1c.

My friend saw the patient again a couple of weeks later – this time at the mall. As he was driving through the parking lot, he noticed his patient sitting on a bench outside the entrance. He also noticed a cigarette in his patient’s right hand and saw the Fitbit still on his wrist. Now, it’s not that there is anything wrong with wearing a Fitbit, but …

My friend is an incredibly respectful person, and very nice. He decided not to say hello and risk embarrassing his patient, so he walked to a different door far from the bench and went inside. Nonetheless, the image bothered him. It bothered him enough to repeat the story to me 2 weeks later. It bothers me too.

The other day I was talking to a healthy young nurse with whom I work. She has been trying to get into shape, and her goal is to get to the gym 5 days a week after work. She read on a popular website that she should use a heart rate monitor to keep track of her training and that, if her heart rate is too slow, she should run faster and, if her heart rate is too fast, she should slow down. She was discouraged the other day, however, because her watch indicated that her pulse was going up to 170 while she was running hard, and she had heard that could be dangerous for her heart.

When she doesn’t push hard, though, she told me that her heart rate often plateaus at about 110, sometimes 115. She has been finding it difficult to achieve her calculated target heart rate of 120-160 beats per minute. She is frustrated and was going to skip her workout that evening. I explained to her that she should stop checking her pulse and just run – if she felt she was running too slow she could run faster.

Technology holds great promise to help us improve our health, but an over-reliance on technology can get in our way. With everything that we have learned about science and technology, the reality is that we are still people, with all our weaknesses and strengths. We often set goals with ambivalence, then rush forward hoping that a technological solution will move us in the direction we think we want to move. Unfortunately, owning a Fitbit will not make us more fit, and checking our pulse every five minutes while working out will not lead to a better exercise session. With the availability of so much technology for tracking our daily exercise, vital signs, and various other measures of health, we need to be more careful than ever to determine specifically what it is that we are trying to accomplish with the use of our technology.

When it comes to good health, it is the fundamentals that matter, and achieving the fundamentals requires being mindful and making repeated efforts to master them. For almost all adults, the most important habits to develop are still related to diet and exercise. Consuming the right diet and exercising adequately requires that the correct choices be made each and every day, all day long. Technology can help but will not do it for us. We need to be thoughtful about how we use technology and explicit about how we expect it to help. After a reasonable amount of time, we should evaluate to see if it is working for us. If it is, then we should continue to use it. If it is not, then we should stop using it or make a different change, like performing a new type of exercise.

Our goal should be to have intelligent empathic integration of technological and behavioral techniques to achieve an optimal health outcome. Putting running shoes by the bed at night is a great thing to do to encourage us to run in the morning. Choosing motivational music can help us get the energy and enthusiasm to go for that run (our favorites include the Rocky theme song and “I Didn’t Come this Far to Only Come this Far”). A visual reminder over the refrigerator can “nudge” us to make good choices as we open the door.

For those who want to learn more about how to integrate behavioral management into their advice for patients we highly recommend reading “Switch: How to Change Things When Change Is Hard” by Chip Heath and “Nudge: Improving Decisions About Health, Wealth, and Happiness” by Richard Thaler. We have always been, and remain, excited about the promise of technology to help us accomplish our goals. That said, we told the nurse to stop checking her pulse, to put on some music, and to appreciate the leaves on the trees this autumn while she was running. As for the gentleman outside the mall, well …

We are interested in your thoughts. Please email us at fpnews@mdedge.com.

Dr. Notte is a family physician and associate chief medical information officer for Abington (Pa.) Jefferson Health. Follow him on Twitter @doctornotte. Dr. Skolnik is professor of family and community medicine at Jefferson Medical College, Philadelphia, and an associate director of the family medicine residency program at Abington Jefferson Health.

Type 2 diabetes patients with binge-eating psychopathology had worse glycemic control than did type 2 diabetes patients without eating disorders, but weight may be a modifying factor, according to a study of 70 outpatients with type 2 diabetes.

“Although the comorbidity of an ED [eating disorder] and T2DM [type 2 diabetes mellitus] has been observed across studies, the impact of this association on the clinical control of diabetes has been less consistent,” wrote Marcello Papelbaum, MD, of the State Institute of Diabetes and Endocrinology, Rio de Janeiro and colleagues.

In an exploratory study published in the Journal of Eating Disorders, the researchers assessed consecutive diabetes patients at a single center. The patients were aged 18-65 years, 77% were women, and 50% were obese. Glycemic control of diabetes was assessed measuring the levels of fasting blood glucose (FBG) and hemoglobin A_1c. A total of 14 patients had an eating disorder, and 7 of them had binge eating disorder (BED). The BED patients were combined with three bulimic patients and four patients with subclinical BED and classified as binge-eating related ED.

Although FBG and HbA_1c were significantly worse in patients with an eating disorder, compared with patients with normal eating patterns, the significance disappeared when body mass index (BMI) was added to the regression model. “Specifically, normal-BMI individuals exhibited a rate of ED of 8%, contrasted with a 26% prevalence of ED in obese patients,” the authors stated.

The findings were limited by the exploratory study design, small sample size, and lack of controlling for multiple variables, the researchers noted.

However, “although the objective negative clinical impact of an ED on type 2 diabetes control is yet to be confirmed, is possible to speculate that the remission of binge episodes could play a major role in diabetes treatment,” they said.

The researchers had no financial conflicts to disclose.
 

SOURCE: Papelbaum M et al. J Eat Disord. 2019 Sep 6. doi: 10.1186/s40337-019-0260-4.

Type 2 diabetes patients with binge-eating psychopathology had worse glycemic control than did type 2 diabetes patients without eating disorders, but weight may be a modifying factor, according to a study of 70 outpatients with type 2 diabetes.

“Although the comorbidity of an ED [eating disorder] and T2DM [type 2 diabetes mellitus] has been observed across studies, the impact of this association on the clinical control of diabetes has been less consistent,” wrote Marcello Papelbaum, MD, of the State Institute of Diabetes and Endocrinology, Rio de Janeiro and colleagues.

In an exploratory study published in the Journal of Eating Disorders, the researchers assessed consecutive diabetes patients at a single center. The patients were aged 18-65 years, 77% were women, and 50% were obese. Glycemic control of diabetes was assessed measuring the levels of fasting blood glucose (FBG) and hemoglobin A_1c. A total of 14 patients had an eating disorder, and 7 of them had binge eating disorder (BED). The BED patients were combined with three bulimic patients and four patients with subclinical BED and classified as binge-eating related ED.

Although FBG and HbA_1c were significantly worse in patients with an eating disorder, compared with patients with normal eating patterns, the significance disappeared when body mass index (BMI) was added to the regression model. “Specifically, normal-BMI individuals exhibited a rate of ED of 8%, contrasted with a 26% prevalence of ED in obese patients,” the authors stated.

The findings were limited by the exploratory study design, small sample size, and lack of controlling for multiple variables, the researchers noted.

However, “although the objective negative clinical impact of an ED on type 2 diabetes control is yet to be confirmed, is possible to speculate that the remission of binge episodes could play a major role in diabetes treatment,” they said.

The researchers had no financial conflicts to disclose.
 

SOURCE: Papelbaum M et al. J Eat Disord. 2019 Sep 6. doi: 10.1186/s40337-019-0260-4.

Type 2 diabetes patients with binge-eating psychopathology had worse glycemic control than did type 2 diabetes patients without eating disorders, but weight may be a modifying factor, according to a study of 70 outpatients with type 2 diabetes.

“Although the comorbidity of an ED [eating disorder] and T2DM [type 2 diabetes mellitus] has been observed across studies, the impact of this association on the clinical control of diabetes has been less consistent,” wrote Marcello Papelbaum, MD, of the State Institute of Diabetes and Endocrinology, Rio de Janeiro and colleagues.

In an exploratory study published in the Journal of Eating Disorders, the researchers assessed consecutive diabetes patients at a single center. The patients were aged 18-65 years, 77% were women, and 50% were obese. Glycemic control of diabetes was assessed measuring the levels of fasting blood glucose (FBG) and hemoglobin A_1c. A total of 14 patients had an eating disorder, and 7 of them had binge eating disorder (BED). The BED patients were combined with three bulimic patients and four patients with subclinical BED and classified as binge-eating related ED.

Although FBG and HbA_1c were significantly worse in patients with an eating disorder, compared with patients with normal eating patterns, the significance disappeared when body mass index (BMI) was added to the regression model. “Specifically, normal-BMI individuals exhibited a rate of ED of 8%, contrasted with a 26% prevalence of ED in obese patients,” the authors stated.

The findings were limited by the exploratory study design, small sample size, and lack of controlling for multiple variables, the researchers noted.

However, “although the objective negative clinical impact of an ED on type 2 diabetes control is yet to be confirmed, is possible to speculate that the remission of binge episodes could play a major role in diabetes treatment,” they said.

The researchers had no financial conflicts to disclose.
 

SOURCE: Papelbaum M et al. J Eat Disord. 2019 Sep 6. doi: 10.1186/s40337-019-0260-4.

BARCELONA – Obesity, more so than having a poor lifestyle, significantly raised the odds of developing type 2 diabetes, independent of individuals’ genetic susceptibility, according to data from a Danish population-based, case-cohort study.

In fact, having a body mass index (BMI) of more than 30 kg/m2 was linked with a 480% risk of incident type 2 diabetes, compared with being of normal weight (BMI, 18.5-24.9 kg/m2). The 95% confidence interval was 5.16-6.55. Being overweight (BMI, 25-29.9 kg/m2) also carried a 100% increased risk of type 2 diabetes (hazard ratio, 2.37; 95% CI, 2.15-2.62).

Having an unfavorable lifestyle – which was defined as having no or only one of several healthy-living characteristics, from not smoking and moderating alcohol use to eating a well-balanced, nutritious diet and exercising regularly – increased the risk of diabetes by 18%, compared with having a favorable lifestyle (HR, 1.18; 95% CI, 1.06-1.30).

Individuals with a high genetic risk score (GRS) had a 100% increased risk of developing the disease versus those with a low GRS (HR, 2.0; 95% CI, 1.1-1.3).

“High genetic risk, obesity, and [an] unfavorable lifestyle increase the individual-level risk of incident type 2 diabetes,” Hermina Jakupovic and associates reported in a poster presentation at the annual meeting of the European Association for the Study of Diabetes. Their results suggest that “the effect of obesity on type 2 diabetes risk is dominant over other risk factors, highlighting the importance of weight management in type 2 diabetes prevention.”

Ms. Jakupovic, a PhD student at the Novo Nordisk Foundation Center for Basic Metabolic Research at the University of Copenhagen, and coauthors examined data on 9,555 participants of the Diet, Cancer, and Health cohort, a large, prospective study that has been running since the early 1990s.

Around half of the study sample were women and the mean age was 52 years. Just over one-fifth (22.8%) were obese, 43% were overweight, and the remaining 35.2% were of normal weight. A quarter (25.4%) had an unfavorable lifestyle, 40% a favorable lifestyle, and the remainder an “intermediate” lifestyle. Over a follow-up of almost 15 years, nearly half (49.5%) developed type 2 diabetes.

Genetic risk was assessed by a GRS comprising 193 genetic variants known to be strongly associated with type 2 diabetes, Ms. Jakupovic explained, adding that, using the GRS, patients were categorized into being at low (the lowest 20%), intermediate (middle 60%) and high risk (top 20%) of type 2 diabetes.

Considering individuals’ GRS and lifestyle score together showed an increasing risk of developing type 2 diabetes from the low GRS/favorable-lifestyle category (HR, 1.0; reference) upward to the high GRS/unfavorable lifestyle (HR, 2.22; 95% CI, 1.76-2.81).

The Diet, Cancer, and Health cohort is supported by the Danish Cancer Society. The Novo Nordisk Foundation Center for Basic Metabolic Research is an independent research center at the University of Copenhagen partially funded by an unrestricted donation from the Novo Nordisk Foundation. Ms. Jakupovic and associates are funded either directly or indirectly by the Novo Nordisk Foundation.

SOURCE: Jakupovic H et al. EASD 2019, Abstract 376.

BARCELONA – Obesity, more so than having a poor lifestyle, significantly raised the odds of developing type 2 diabetes, independent of individuals’ genetic susceptibility, according to data from a Danish population-based, case-cohort study.

In fact, having a body mass index (BMI) of more than 30 kg/m2 was linked with a 480% risk of incident type 2 diabetes, compared with being of normal weight (BMI, 18.5-24.9 kg/m2). The 95% confidence interval was 5.16-6.55. Being overweight (BMI, 25-29.9 kg/m2) also carried a 100% increased risk of type 2 diabetes (hazard ratio, 2.37; 95% CI, 2.15-2.62).

Having an unfavorable lifestyle – which was defined as having no or only one of several healthy-living characteristics, from not smoking and moderating alcohol use to eating a well-balanced, nutritious diet and exercising regularly – increased the risk of diabetes by 18%, compared with having a favorable lifestyle (HR, 1.18; 95% CI, 1.06-1.30).

Individuals with a high genetic risk score (GRS) had a 100% increased risk of developing the disease versus those with a low GRS (HR, 2.0; 95% CI, 1.1-1.3).

“High genetic risk, obesity, and [an] unfavorable lifestyle increase the individual-level risk of incident type 2 diabetes,” Hermina Jakupovic and associates reported in a poster presentation at the annual meeting of the European Association for the Study of Diabetes. Their results suggest that “the effect of obesity on type 2 diabetes risk is dominant over other risk factors, highlighting the importance of weight management in type 2 diabetes prevention.”

Ms. Jakupovic, a PhD student at the Novo Nordisk Foundation Center for Basic Metabolic Research at the University of Copenhagen, and coauthors examined data on 9,555 participants of the Diet, Cancer, and Health cohort, a large, prospective study that has been running since the early 1990s.

Around half of the study sample were women and the mean age was 52 years. Just over one-fifth (22.8%) were obese, 43% were overweight, and the remaining 35.2% were of normal weight. A quarter (25.4%) had an unfavorable lifestyle, 40% a favorable lifestyle, and the remainder an “intermediate” lifestyle. Over a follow-up of almost 15 years, nearly half (49.5%) developed type 2 diabetes.

Genetic risk was assessed by a GRS comprising 193 genetic variants known to be strongly associated with type 2 diabetes, Ms. Jakupovic explained, adding that, using the GRS, patients were categorized into being at low (the lowest 20%), intermediate (middle 60%) and high risk (top 20%) of type 2 diabetes.

Considering individuals’ GRS and lifestyle score together showed an increasing risk of developing type 2 diabetes from the low GRS/favorable-lifestyle category (HR, 1.0; reference) upward to the high GRS/unfavorable lifestyle (HR, 2.22; 95% CI, 1.76-2.81).

The Diet, Cancer, and Health cohort is supported by the Danish Cancer Society. The Novo Nordisk Foundation Center for Basic Metabolic Research is an independent research center at the University of Copenhagen partially funded by an unrestricted donation from the Novo Nordisk Foundation. Ms. Jakupovic and associates are funded either directly or indirectly by the Novo Nordisk Foundation.

SOURCE: Jakupovic H et al. EASD 2019, Abstract 376.

BARCELONA – Obesity, more so than having a poor lifestyle, significantly raised the odds of developing type 2 diabetes, independent of individuals’ genetic susceptibility, according to data from a Danish population-based, case-cohort study.

In fact, having a body mass index (BMI) of more than 30 kg/m2 was linked with a 480% risk of incident type 2 diabetes, compared with being of normal weight (BMI, 18.5-24.9 kg/m2). The 95% confidence interval was 5.16-6.55. Being overweight (BMI, 25-29.9 kg/m2) also carried a 100% increased risk of type 2 diabetes (hazard ratio, 2.37; 95% CI, 2.15-2.62).

Having an unfavorable lifestyle – which was defined as having no or only one of several healthy-living characteristics, from not smoking and moderating alcohol use to eating a well-balanced, nutritious diet and exercising regularly – increased the risk of diabetes by 18%, compared with having a favorable lifestyle (HR, 1.18; 95% CI, 1.06-1.30).

Individuals with a high genetic risk score (GRS) had a 100% increased risk of developing the disease versus those with a low GRS (HR, 2.0; 95% CI, 1.1-1.3).

“High genetic risk, obesity, and [an] unfavorable lifestyle increase the individual-level risk of incident type 2 diabetes,” Hermina Jakupovic and associates reported in a poster presentation at the annual meeting of the European Association for the Study of Diabetes. Their results suggest that “the effect of obesity on type 2 diabetes risk is dominant over other risk factors, highlighting the importance of weight management in type 2 diabetes prevention.”

Ms. Jakupovic, a PhD student at the Novo Nordisk Foundation Center for Basic Metabolic Research at the University of Copenhagen, and coauthors examined data on 9,555 participants of the Diet, Cancer, and Health cohort, a large, prospective study that has been running since the early 1990s.

Around half of the study sample were women and the mean age was 52 years. Just over one-fifth (22.8%) were obese, 43% were overweight, and the remaining 35.2% were of normal weight. A quarter (25.4%) had an unfavorable lifestyle, 40% a favorable lifestyle, and the remainder an “intermediate” lifestyle. Over a follow-up of almost 15 years, nearly half (49.5%) developed type 2 diabetes.

Genetic risk was assessed by a GRS comprising 193 genetic variants known to be strongly associated with type 2 diabetes, Ms. Jakupovic explained, adding that, using the GRS, patients were categorized into being at low (the lowest 20%), intermediate (middle 60%) and high risk (top 20%) of type 2 diabetes.

Considering individuals’ GRS and lifestyle score together showed an increasing risk of developing type 2 diabetes from the low GRS/favorable-lifestyle category (HR, 1.0; reference) upward to the high GRS/unfavorable lifestyle (HR, 2.22; 95% CI, 1.76-2.81).

The Diet, Cancer, and Health cohort is supported by the Danish Cancer Society. The Novo Nordisk Foundation Center for Basic Metabolic Research is an independent research center at the University of Copenhagen partially funded by an unrestricted donation from the Novo Nordisk Foundation. Ms. Jakupovic and associates are funded either directly or indirectly by the Novo Nordisk Foundation.

SOURCE: Jakupovic H et al. EASD 2019, Abstract 376.

Maternal weight gains at either end of the weight spectrum may influence the risk of poor neonatal outcomes for twins, Lisa M. Bodnar, PhD, and colleagues determined.

anopdesignstock/Thinkstock

The risks of cesarean section and neonatal death were elevated for those mothers who were overweight before pregnancy and then gained too much. But infants of underweight women who didn’t gain enough faced risks as well, wrote Dr. Bodnar of the University of Pittsburgh and associates in Obstetrics & Gynecology.

Among the most severely overweight women (obesity grade 2 or 3) who gained the most weight (43 kg) at 37 weeks’ gestation, there were 6 fewer small-for-gestational-age (SGA) infants per 100 births, but 14 more large-for-gestational-age (LGA) infants, 4 more cesarean deliveries, and 2 more neonatal deaths per 100 births. By contrast, among the most severely underweight women who gained the least amount of weight (9 kg), there were 18 more SGA infants, 3 fewer LGA infants, and 11 fewer cesareans, but 6 more preterm births before 32 weeks’ gestation.

The same U-shaped pattern also occurred within the individual weight categories. For example, compared with the outcomes among the most underweight women who gained least, among underweight women who gained the most (37 kg), there were eight fewer SGA infants, but four more LGA infants, 16 excess preterm births, and 9 excess infant deaths.

“If the associations we observed are even partially reflective of causality, targeted modification of pregnancy weight gain in women carrying twins might improve pregnancy outcomes,” wrote Dr. Bodnar and her team. “Data on a wide range of short- and long-term outcomes and information on the relative seriousness of these outcomes are needed to determine optimal gestational weight gain ranges for twin pregnancies.”

The cohort comprised 54,836 live-born twins from 27,723 twin pregnancies who were included in the MOMs database maintained by the University of Pennsylvania, Philadelphia. The population-based study tracks maternal obesity, gestational weight gain, and adverse birth outcomes. The information came from infant birth and death vital statistics records from 2003 to 2013.

However, this very source puts the findings in some degree of uncertainty, Ozhan Turan, MD, said in an interview.

“It’s a very nice study, and the statistics are very well done,” said Dr. Turan, who is the director of fetal therapy and complex obstetric surgery at the University of Maryland School of Medicine. “But that kind of data has pitfalls that are unavoidable. For example, they don’t have access to maternal medical comorbidities which are mostly related to the outcome, particularly gestational diabetes and preeclampsia. They also don’t have the information on chorionicity – and we know that monochorionic twins face much greater risk for these outcomes than dichorionic twins.”

The investigators calculated total gestational weight gain by subtracting prepregnancy weight from maternal weight at delivery. The analysis controlled for race and ethnicity, education, neonatal care, level of birth facility, parity, payment at delivery, smoking during pregnancy, marital status, year of birth, height, maternal age, preexisting diabetes or hypertension, infertility treatment, neonatal sex, and racial composition of neighborhood, as a proxy of neighborhood-level socioeconomic status. Approximately 16% of mothers received infertility treatment.

Of the cohort, 3% were underweight, 48% were normal weight, 24% were overweight, 13% were grade 1 obese, 7% grade 2 obese, and 5% grade 3 obese.

“Pregnancy weight gain was negatively associated with SGA and positively associated with LGA and cesarean delivery in all [body mass index] groups. For example, among normal-weight women, compared with a pregnancy weight gain equivalent to 20 kg at 37 weeks’ of gestation, a weight gain of 27 kg at 37 weeks’ of gestation was associated with 2.2 fewer cases of SGA but 2.9 more cases of LGA and 3.7 more cases of cesarean delivery,” Dr. Bodnar and associates wrote.

The investigators found that “weight gains well above or well below the [Institute of Medicine] provisional guidelines (less than 14 kg or more than 27 kg in underweight or normal-weight women, less than 11 kg or more than 28 kg in overweight women, and less than 6.4 kg or more than 26 kg in women with obesity) were associated with the highest risk of adverse outcomes.”

“I would not say this is practice-changing information,” said Dr. Turan. “We already know all this. What would be very helpful is an algorithm to tell us, if a patient is pregnant with twins, this is the amount of weight you have to gain.”

For overweight patients, Dr. Turan tries to impart the key message of moderate or slight weight gain, according to prepregnancy body mass index. For underweight patients, the picture is a bit more complex.

“There are not that many who are underweight before pregnancy, so first thing I look for is the reason a woman is underweight. Is she just not eating properly? Is there a drug dependence issue, alcohol dependence, HIV? Is there smoking? A gut problem that causes malnutrition. You can’t just say ‘eat more.’ That does not solve the problem. We need to find out why she is underweight and fix that first,” said Dr. Turan.

Neither Dr. Bodnar nor Dr. Turan had any relevant financial disclosures. One coauthor disclosed her institution received funds from the University of Pittsburgh. The study was funded by National Institutes of Health grants.
 

SOURCE: Bodnar LM et al. Obstet Gynecol. 2019;134:1075-86.

Maternal weight gains at either end of the weight spectrum may influence the risk of poor neonatal outcomes for twins, Lisa M. Bodnar, PhD, and colleagues determined.

anopdesignstock/Thinkstock

The risks of cesarean section and neonatal death were elevated for those mothers who were overweight before pregnancy and then gained too much. But infants of underweight women who didn’t gain enough faced risks as well, wrote Dr. Bodnar of the University of Pittsburgh and associates in Obstetrics & Gynecology.

Among the most severely overweight women (obesity grade 2 or 3) who gained the most weight (43 kg) at 37 weeks’ gestation, there were 6 fewer small-for-gestational-age (SGA) infants per 100 births, but 14 more large-for-gestational-age (LGA) infants, 4 more cesarean deliveries, and 2 more neonatal deaths per 100 births. By contrast, among the most severely underweight women who gained the least amount of weight (9 kg), there were 18 more SGA infants, 3 fewer LGA infants, and 11 fewer cesareans, but 6 more preterm births before 32 weeks’ gestation.

The same U-shaped pattern also occurred within the individual weight categories. For example, compared with the outcomes among the most underweight women who gained least, among underweight women who gained the most (37 kg), there were eight fewer SGA infants, but four more LGA infants, 16 excess preterm births, and 9 excess infant deaths.

“If the associations we observed are even partially reflective of causality, targeted modification of pregnancy weight gain in women carrying twins might improve pregnancy outcomes,” wrote Dr. Bodnar and her team. “Data on a wide range of short- and long-term outcomes and information on the relative seriousness of these outcomes are needed to determine optimal gestational weight gain ranges for twin pregnancies.”

The cohort comprised 54,836 live-born twins from 27,723 twin pregnancies who were included in the MOMs database maintained by the University of Pennsylvania, Philadelphia. The population-based study tracks maternal obesity, gestational weight gain, and adverse birth outcomes. The information came from infant birth and death vital statistics records from 2003 to 2013.

However, this very source puts the findings in some degree of uncertainty, Ozhan Turan, MD, said in an interview.

“It’s a very nice study, and the statistics are very well done,” said Dr. Turan, who is the director of fetal therapy and complex obstetric surgery at the University of Maryland School of Medicine. “But that kind of data has pitfalls that are unavoidable. For example, they don’t have access to maternal medical comorbidities which are mostly related to the outcome, particularly gestational diabetes and preeclampsia. They also don’t have the information on chorionicity – and we know that monochorionic twins face much greater risk for these outcomes than dichorionic twins.”

The investigators calculated total gestational weight gain by subtracting prepregnancy weight from maternal weight at delivery. The analysis controlled for race and ethnicity, education, neonatal care, level of birth facility, parity, payment at delivery, smoking during pregnancy, marital status, year of birth, height, maternal age, preexisting diabetes or hypertension, infertility treatment, neonatal sex, and racial composition of neighborhood, as a proxy of neighborhood-level socioeconomic status. Approximately 16% of mothers received infertility treatment.

Of the cohort, 3% were underweight, 48% were normal weight, 24% were overweight, 13% were grade 1 obese, 7% grade 2 obese, and 5% grade 3 obese.

“Pregnancy weight gain was negatively associated with SGA and positively associated with LGA and cesarean delivery in all [body mass index] groups. For example, among normal-weight women, compared with a pregnancy weight gain equivalent to 20 kg at 37 weeks’ of gestation, a weight gain of 27 kg at 37 weeks’ of gestation was associated with 2.2 fewer cases of SGA but 2.9 more cases of LGA and 3.7 more cases of cesarean delivery,” Dr. Bodnar and associates wrote.

The investigators found that “weight gains well above or well below the [Institute of Medicine] provisional guidelines (less than 14 kg or more than 27 kg in underweight or normal-weight women, less than 11 kg or more than 28 kg in overweight women, and less than 6.4 kg or more than 26 kg in women with obesity) were associated with the highest risk of adverse outcomes.”

“I would not say this is practice-changing information,” said Dr. Turan. “We already know all this. What would be very helpful is an algorithm to tell us, if a patient is pregnant with twins, this is the amount of weight you have to gain.”

For overweight patients, Dr. Turan tries to impart the key message of moderate or slight weight gain, according to prepregnancy body mass index. For underweight patients, the picture is a bit more complex.

“There are not that many who are underweight before pregnancy, so first thing I look for is the reason a woman is underweight. Is she just not eating properly? Is there a drug dependence issue, alcohol dependence, HIV? Is there smoking? A gut problem that causes malnutrition. You can’t just say ‘eat more.’ That does not solve the problem. We need to find out why she is underweight and fix that first,” said Dr. Turan.

Neither Dr. Bodnar nor Dr. Turan had any relevant financial disclosures. One coauthor disclosed her institution received funds from the University of Pittsburgh. The study was funded by National Institutes of Health grants.
 

SOURCE: Bodnar LM et al. Obstet Gynecol. 2019;134:1075-86.

Maternal weight gains at either end of the weight spectrum may influence the risk of poor neonatal outcomes for twins, Lisa M. Bodnar, PhD, and colleagues determined.

anopdesignstock/Thinkstock

The risks of cesarean section and neonatal death were elevated for those mothers who were overweight before pregnancy and then gained too much. But infants of underweight women who didn’t gain enough faced risks as well, wrote Dr. Bodnar of the University of Pittsburgh and associates in Obstetrics & Gynecology.

Among the most severely overweight women (obesity grade 2 or 3) who gained the most weight (43 kg) at 37 weeks’ gestation, there were 6 fewer small-for-gestational-age (SGA) infants per 100 births, but 14 more large-for-gestational-age (LGA) infants, 4 more cesarean deliveries, and 2 more neonatal deaths per 100 births. By contrast, among the most severely underweight women who gained the least amount of weight (9 kg), there were 18 more SGA infants, 3 fewer LGA infants, and 11 fewer cesareans, but 6 more preterm births before 32 weeks’ gestation.

The same U-shaped pattern also occurred within the individual weight categories. For example, compared with the outcomes among the most underweight women who gained least, among underweight women who gained the most (37 kg), there were eight fewer SGA infants, but four more LGA infants, 16 excess preterm births, and 9 excess infant deaths.

“If the associations we observed are even partially reflective of causality, targeted modification of pregnancy weight gain in women carrying twins might improve pregnancy outcomes,” wrote Dr. Bodnar and her team. “Data on a wide range of short- and long-term outcomes and information on the relative seriousness of these outcomes are needed to determine optimal gestational weight gain ranges for twin pregnancies.”

The cohort comprised 54,836 live-born twins from 27,723 twin pregnancies who were included in the MOMs database maintained by the University of Pennsylvania, Philadelphia. The population-based study tracks maternal obesity, gestational weight gain, and adverse birth outcomes. The information came from infant birth and death vital statistics records from 2003 to 2013.

However, this very source puts the findings in some degree of uncertainty, Ozhan Turan, MD, said in an interview.

“It’s a very nice study, and the statistics are very well done,” said Dr. Turan, who is the director of fetal therapy and complex obstetric surgery at the University of Maryland School of Medicine. “But that kind of data has pitfalls that are unavoidable. For example, they don’t have access to maternal medical comorbidities which are mostly related to the outcome, particularly gestational diabetes and preeclampsia. They also don’t have the information on chorionicity – and we know that monochorionic twins face much greater risk for these outcomes than dichorionic twins.”

The investigators calculated total gestational weight gain by subtracting prepregnancy weight from maternal weight at delivery. The analysis controlled for race and ethnicity, education, neonatal care, level of birth facility, parity, payment at delivery, smoking during pregnancy, marital status, year of birth, height, maternal age, preexisting diabetes or hypertension, infertility treatment, neonatal sex, and racial composition of neighborhood, as a proxy of neighborhood-level socioeconomic status. Approximately 16% of mothers received infertility treatment.

Of the cohort, 3% were underweight, 48% were normal weight, 24% were overweight, 13% were grade 1 obese, 7% grade 2 obese, and 5% grade 3 obese.

“Pregnancy weight gain was negatively associated with SGA and positively associated with LGA and cesarean delivery in all [body mass index] groups. For example, among normal-weight women, compared with a pregnancy weight gain equivalent to 20 kg at 37 weeks’ of gestation, a weight gain of 27 kg at 37 weeks’ of gestation was associated with 2.2 fewer cases of SGA but 2.9 more cases of LGA and 3.7 more cases of cesarean delivery,” Dr. Bodnar and associates wrote.

The investigators found that “weight gains well above or well below the [Institute of Medicine] provisional guidelines (less than 14 kg or more than 27 kg in underweight or normal-weight women, less than 11 kg or more than 28 kg in overweight women, and less than 6.4 kg or more than 26 kg in women with obesity) were associated with the highest risk of adverse outcomes.”

“I would not say this is practice-changing information,” said Dr. Turan. “We already know all this. What would be very helpful is an algorithm to tell us, if a patient is pregnant with twins, this is the amount of weight you have to gain.”

For overweight patients, Dr. Turan tries to impart the key message of moderate or slight weight gain, according to prepregnancy body mass index. For underweight patients, the picture is a bit more complex.

“There are not that many who are underweight before pregnancy, so first thing I look for is the reason a woman is underweight. Is she just not eating properly? Is there a drug dependence issue, alcohol dependence, HIV? Is there smoking? A gut problem that causes malnutrition. You can’t just say ‘eat more.’ That does not solve the problem. We need to find out why she is underweight and fix that first,” said Dr. Turan.

Neither Dr. Bodnar nor Dr. Turan had any relevant financial disclosures. One coauthor disclosed her institution received funds from the University of Pittsburgh. The study was funded by National Institutes of Health grants.
 

SOURCE: Bodnar LM et al. Obstet Gynecol. 2019;134:1075-86.

The risk of major birth defects was lower for infants whose mothers had gastric bypass surgery prior to the pregnancy than it was for infants of matched controls, according to data from a cohort study of 2,921 women with a history of gastric bypass surgery and 30,573 matched controls.

“Obesity is associated with poor glucose control, which is teratogenic. Bariatric surgery results in weight loss and glucose normalization but is also associated with nutritional deficiencies and substance abuse, which could cause birth defects as hypothesized based on case series,” wrote Martin Neovius, PhD, of Karolinska Institutet, Stockholm, Sweden, and colleagues.

To determine the risk of birth defects for infants born to women after gastric bypass surgery, the researchers used the Swedish Medical Birth Register to identify singleton infants born between 2007 and 2014 to women who underwent Roux-en-Y gastric bypass surgery and matched controls. The findings were published in a research letter in JAMA.

In the surgery group, the mean interval from surgery to conception was 1.6 years, and the mean weight loss was 40 kg for these women. In addition, the use of diabetes drugs decreased from 10% before surgery to 2% during the 6 months before conception.

Overall, major birth defects occurred in 3% of infants in the gastric bypass groups versus 5% of infants in the control group (risk ratio, 0.67). No neural tube defects occurred in the surgery group and 20 cases of neural tube defects were noted in the control group.

The study was limited by several factors including the lack of data on pregnancy termination, exclusion of stillbirths, and inability to analyze individual birth defects because of small numbers, the researchers noted.

Nonetheless, the results suggest that “a mechanism could be that surgery-induced improvements in glucose metabolism, and potentially other beneficial physiologic changes, led to a reduction of major birth defect risk to a level similar to that of the general population,” they said.

Dr. Neovius disclosed advisory board fees from Itrim and Ethicon Johnson & Johnson. Three coauthors reported grants or other fees from a variety of pharmaceutical companies. The study was supported by the National Institute of Diabetes and Digestive and Kidney Diseases at the National Institutes of Health, by the Swedish Research Council, and by the Swedish Research Council for Health, Working Life, and Welfare.
 

SOURCE: Neovius M et al. JAMA. 2019 Oct 15; 322:1515-17.

The risk of major birth defects was lower for infants whose mothers had gastric bypass surgery prior to the pregnancy than it was for infants of matched controls, according to data from a cohort study of 2,921 women with a history of gastric bypass surgery and 30,573 matched controls.

“Obesity is associated with poor glucose control, which is teratogenic. Bariatric surgery results in weight loss and glucose normalization but is also associated with nutritional deficiencies and substance abuse, which could cause birth defects as hypothesized based on case series,” wrote Martin Neovius, PhD, of Karolinska Institutet, Stockholm, Sweden, and colleagues.

To determine the risk of birth defects for infants born to women after gastric bypass surgery, the researchers used the Swedish Medical Birth Register to identify singleton infants born between 2007 and 2014 to women who underwent Roux-en-Y gastric bypass surgery and matched controls. The findings were published in a research letter in JAMA.

In the surgery group, the mean interval from surgery to conception was 1.6 years, and the mean weight loss was 40 kg for these women. In addition, the use of diabetes drugs decreased from 10% before surgery to 2% during the 6 months before conception.

Overall, major birth defects occurred in 3% of infants in the gastric bypass groups versus 5% of infants in the control group (risk ratio, 0.67). No neural tube defects occurred in the surgery group and 20 cases of neural tube defects were noted in the control group.

The study was limited by several factors including the lack of data on pregnancy termination, exclusion of stillbirths, and inability to analyze individual birth defects because of small numbers, the researchers noted.

Nonetheless, the results suggest that “a mechanism could be that surgery-induced improvements in glucose metabolism, and potentially other beneficial physiologic changes, led to a reduction of major birth defect risk to a level similar to that of the general population,” they said.

Dr. Neovius disclosed advisory board fees from Itrim and Ethicon Johnson & Johnson. Three coauthors reported grants or other fees from a variety of pharmaceutical companies. The study was supported by the National Institute of Diabetes and Digestive and Kidney Diseases at the National Institutes of Health, by the Swedish Research Council, and by the Swedish Research Council for Health, Working Life, and Welfare.
 

SOURCE: Neovius M et al. JAMA. 2019 Oct 15; 322:1515-17.

The risk of major birth defects was lower for infants whose mothers had gastric bypass surgery prior to the pregnancy than it was for infants of matched controls, according to data from a cohort study of 2,921 women with a history of gastric bypass surgery and 30,573 matched controls.

“Obesity is associated with poor glucose control, which is teratogenic. Bariatric surgery results in weight loss and glucose normalization but is also associated with nutritional deficiencies and substance abuse, which could cause birth defects as hypothesized based on case series,” wrote Martin Neovius, PhD, of Karolinska Institutet, Stockholm, Sweden, and colleagues.

To determine the risk of birth defects for infants born to women after gastric bypass surgery, the researchers used the Swedish Medical Birth Register to identify singleton infants born between 2007 and 2014 to women who underwent Roux-en-Y gastric bypass surgery and matched controls. The findings were published in a research letter in JAMA.

In the surgery group, the mean interval from surgery to conception was 1.6 years, and the mean weight loss was 40 kg for these women. In addition, the use of diabetes drugs decreased from 10% before surgery to 2% during the 6 months before conception.

Overall, major birth defects occurred in 3% of infants in the gastric bypass groups versus 5% of infants in the control group (risk ratio, 0.67). No neural tube defects occurred in the surgery group and 20 cases of neural tube defects were noted in the control group.

The study was limited by several factors including the lack of data on pregnancy termination, exclusion of stillbirths, and inability to analyze individual birth defects because of small numbers, the researchers noted.

Nonetheless, the results suggest that “a mechanism could be that surgery-induced improvements in glucose metabolism, and potentially other beneficial physiologic changes, led to a reduction of major birth defect risk to a level similar to that of the general population,” they said.

Dr. Neovius disclosed advisory board fees from Itrim and Ethicon Johnson & Johnson. Three coauthors reported grants or other fees from a variety of pharmaceutical companies. The study was supported by the National Institute of Diabetes and Digestive and Kidney Diseases at the National Institutes of Health, by the Swedish Research Council, and by the Swedish Research Council for Health, Working Life, and Welfare.
 

SOURCE: Neovius M et al. JAMA. 2019 Oct 15; 322:1515-17.

Sleeping supine during late pregnancy was independently associated with lower birth weight, but the number of women in this subgroup was small in the study.

Data from previous studies suggest that impaired uteroplacental flow can affect fetal growth, wrote Ngaire H. Anderson, PhD, of the University of Auckland, N.Z., and colleagues.

“The initial going-to-sleep position is the sleep position that women maintain for the longest duration throughout the night; therefore, going-to-sleep position is likely to have the greatest impact on blood flow to the developing fetus,” they said.

In a study published in JAMA Network Open, the researchers interviewed women with ongoing pregnancies at 28 weeks’ gestation or later to determine their sleeping positions. The mean age of the participants was 30 years. Of the 1,760 women, 3% reported that they usually slept supine during the past 1-4 weeks.

The adjusted mean birth weight was 3,410 g among supine sleepers and 3,554 g among nonsupine sleepers. The primary outcome was an adjusted mean difference in birth weight between infants of supine sleepers and nonsupine sleepers, which was a statistically significant 144 g (P = .009).

The study findings were limited by several factors including the small number of women who were reported supine sleepers, as well as the reliance on self-reports of sleep position, the researchers said.

However, women who had going-to-sleep data for the previous night and the previous month suggest that most women are consistent in their going-to-sleep position, they noted. “It is also biologically plausible that the association of decreased maternal blood flow on birth size with supine maternal position is cumulative over time,” but the researchers were not able to investigate how the duration of supine sleeping might further affect birth weight.

Although it might make additional studies more difficult, a public health campaign to encourage pregnant women to sleep on their side during the third trimester is a safe and easy opportunity to potentially optimize birth weight, they added.

The study was important because of the limited number of high-quality studies on the effects of maternal sleep on perinatal outcomes, Martina Badell, MD of Emory University in Atlanta said in an interview.

“The overall findings suggested a possible small increased risk of small-for-gestational-age babies with supine maternal sleeping, however, the absolute gram difference of 144 grams at term may not be clinically relevant,” she said. In addition, the relatively small number of women who reported supine sleep in late pregnancy suggests that broad public health campaigns or recommendations may not be indicated at this time.

“Also, the percentage of women who are supine sleepers at term is only approximately 3%, and this study didn’t assess reasons for supine sleeping in this small subset of women,” she said. “Further research is needed to assess whether there are specific maternal factors associated with supine sleeping, such as GI symptoms or respiratory difficulties, which could contribute to smaller fetal size rather than the sleep position itself.”

The study was supported by a Trans-Tasman Research Funding Grant by Cure Kids and Red Nose Australia. Six coauthors reported receiving numerous grants from a variety of organizations. Dr. Anderson and the remaining coauthors had no financial conflicts to disclose. Dr. Badell had no relevant financial disclosures.

SOURCE: Anderson NH et al. JAMA Network Open. 2019 Oct 2. doi: 10.1001/jamanetworkopen.2019.12614.

Sleeping supine during late pregnancy was independently associated with lower birth weight, but the number of women in this subgroup was small in the study.

Data from previous studies suggest that impaired uteroplacental flow can affect fetal growth, wrote Ngaire H. Anderson, PhD, of the University of Auckland, N.Z., and colleagues.

“The initial going-to-sleep position is the sleep position that women maintain for the longest duration throughout the night; therefore, going-to-sleep position is likely to have the greatest impact on blood flow to the developing fetus,” they said.

In a study published in JAMA Network Open, the researchers interviewed women with ongoing pregnancies at 28 weeks’ gestation or later to determine their sleeping positions. The mean age of the participants was 30 years. Of the 1,760 women, 3% reported that they usually slept supine during the past 1-4 weeks.

The adjusted mean birth weight was 3,410 g among supine sleepers and 3,554 g among nonsupine sleepers. The primary outcome was an adjusted mean difference in birth weight between infants of supine sleepers and nonsupine sleepers, which was a statistically significant 144 g (P = .009).

The study findings were limited by several factors including the small number of women who were reported supine sleepers, as well as the reliance on self-reports of sleep position, the researchers said.

However, women who had going-to-sleep data for the previous night and the previous month suggest that most women are consistent in their going-to-sleep position, they noted. “It is also biologically plausible that the association of decreased maternal blood flow on birth size with supine maternal position is cumulative over time,” but the researchers were not able to investigate how the duration of supine sleeping might further affect birth weight.

Although it might make additional studies more difficult, a public health campaign to encourage pregnant women to sleep on their side during the third trimester is a safe and easy opportunity to potentially optimize birth weight, they added.

The study was important because of the limited number of high-quality studies on the effects of maternal sleep on perinatal outcomes, Martina Badell, MD of Emory University in Atlanta said in an interview.

“The overall findings suggested a possible small increased risk of small-for-gestational-age babies with supine maternal sleeping, however, the absolute gram difference of 144 grams at term may not be clinically relevant,” she said. In addition, the relatively small number of women who reported supine sleep in late pregnancy suggests that broad public health campaigns or recommendations may not be indicated at this time.

“Also, the percentage of women who are supine sleepers at term is only approximately 3%, and this study didn’t assess reasons for supine sleeping in this small subset of women,” she said. “Further research is needed to assess whether there are specific maternal factors associated with supine sleeping, such as GI symptoms or respiratory difficulties, which could contribute to smaller fetal size rather than the sleep position itself.”

The study was supported by a Trans-Tasman Research Funding Grant by Cure Kids and Red Nose Australia. Six coauthors reported receiving numerous grants from a variety of organizations. Dr. Anderson and the remaining coauthors had no financial conflicts to disclose. Dr. Badell had no relevant financial disclosures.

SOURCE: Anderson NH et al. JAMA Network Open. 2019 Oct 2. doi: 10.1001/jamanetworkopen.2019.12614.

Sleeping supine during late pregnancy was independently associated with lower birth weight, but the number of women in this subgroup was small in the study.

Data from previous studies suggest that impaired uteroplacental flow can affect fetal growth, wrote Ngaire H. Anderson, PhD, of the University of Auckland, N.Z., and colleagues.

“The initial going-to-sleep position is the sleep position that women maintain for the longest duration throughout the night; therefore, going-to-sleep position is likely to have the greatest impact on blood flow to the developing fetus,” they said.

In a study published in JAMA Network Open, the researchers interviewed women with ongoing pregnancies at 28 weeks’ gestation or later to determine their sleeping positions. The mean age of the participants was 30 years. Of the 1,760 women, 3% reported that they usually slept supine during the past 1-4 weeks.

The adjusted mean birth weight was 3,410 g among supine sleepers and 3,554 g among nonsupine sleepers. The primary outcome was an adjusted mean difference in birth weight between infants of supine sleepers and nonsupine sleepers, which was a statistically significant 144 g (P = .009).

The study findings were limited by several factors including the small number of women who were reported supine sleepers, as well as the reliance on self-reports of sleep position, the researchers said.

However, women who had going-to-sleep data for the previous night and the previous month suggest that most women are consistent in their going-to-sleep position, they noted. “It is also biologically plausible that the association of decreased maternal blood flow on birth size with supine maternal position is cumulative over time,” but the researchers were not able to investigate how the duration of supine sleeping might further affect birth weight.

Although it might make additional studies more difficult, a public health campaign to encourage pregnant women to sleep on their side during the third trimester is a safe and easy opportunity to potentially optimize birth weight, they added.

The study was important because of the limited number of high-quality studies on the effects of maternal sleep on perinatal outcomes, Martina Badell, MD of Emory University in Atlanta said in an interview.

“The overall findings suggested a possible small increased risk of small-for-gestational-age babies with supine maternal sleeping, however, the absolute gram difference of 144 grams at term may not be clinically relevant,” she said. In addition, the relatively small number of women who reported supine sleep in late pregnancy suggests that broad public health campaigns or recommendations may not be indicated at this time.

“Also, the percentage of women who are supine sleepers at term is only approximately 3%, and this study didn’t assess reasons for supine sleeping in this small subset of women,” she said. “Further research is needed to assess whether there are specific maternal factors associated with supine sleeping, such as GI symptoms or respiratory difficulties, which could contribute to smaller fetal size rather than the sleep position itself.”

The study was supported by a Trans-Tasman Research Funding Grant by Cure Kids and Red Nose Australia. Six coauthors reported receiving numerous grants from a variety of organizations. Dr. Anderson and the remaining coauthors had no financial conflicts to disclose. Dr. Badell had no relevant financial disclosures.

SOURCE: Anderson NH et al. JAMA Network Open. 2019 Oct 2. doi: 10.1001/jamanetworkopen.2019.12614.

Children born to mothers with high blood levels of lead have an increased risk of being overweight or obese, particularly if their mothers are also overweight, according to new research.

Creatas Images

Adequate maternal plasma levels of folate, however, mitigated this risk.

“When considered simultaneously, maternal lead exposure, rather than early childhood lead exposure, contributed to overweight/obesity risk in a dose-response fashion across multiple developmental stages (preschool age, school age and early adolescence) and amplified intergenerational overweight/obesity risk (additively with maternal overweight/obesity),” Guoying Wang, MD, PhD, of Johns Hopkins Bloomberg School of Public Health, Baltimore, and associates, reported in JAMA Network Open.

“These findings support the hypothesis that the obesity epidemic could be related to environmental chemical exposures in utero and raise the possibility that optimal maternal folate supplementation may help counteract the adverse effects of environmental lead exposure,” the authors wrote.

The prospective urban, low-income cohort study, which ran from 2002 to 2013, involved 1,442 mother-child pairs who joined the study when the children were born and attended follow-up visits at Boston Medical Center. The mean age of the mothers was 29 years, and the children were, on average, 8 years old at follow-up. Half the children were male; 67% of mothers were black, and 20% were Latina.

The researchers collected maternal blood samples within 24-72 hours after birth to measure red blood cell lead levels and plasma folate levels. Children’s whole-blood lead levels were measured during the first lead screening of their well child visits, at a median 10 months of age. Researchers tracked children’s body mass index Z-score and defined overweight/obesity as exceeding the 85th national percentile for their age and sex.

Detectable lead was present in all the mothers’ blood samples. The median maternal red blood cell lead level was 2.5 mcg/dL, although black mothers tended to have higher lead exposure than that of other racial groups. Median maternal plasma folate level was 32 nmol/L. Children’s blood lead levels were a median 1.4 mcg/dL, and their median BMI Z-score was 0.78.

Children whose mothers had red blood cell lead levels of 5.0 mcg/dL or greater (16%) had 65% greater odds of being overweight or obese compared with children whose mothers’ lead level was less than 2 mcg/dL, after adjustment for maternal education, race/ethnicity, smoking status, parity, diabetes, hypertensive disorder, preterm birth, fetal growth, and breastfeeding status (odds ratio [OR], 1.65; 95% confidence internal [CI], 1.18-2.32). Only 5.2% of children had whole-blood lead levels of 5 mcg/dL or greater.

“Mothers with the highest red blood cell lead levels were older and multiparous, were more likely to be black and nonsmokers, had lower plasma folate levels and were more likely to have prepregnancy overweight/obesity and diabetes,” the authors reported.

The dose-response association did not lose significance when the researchers adjusted for children’s blood lead levels, maternal age, cesarean delivery, term births only, and black race. Nor did it change in a subset of children when the researchers adjusted for children’s physical activity.

The strength of the association increased when mothers also had a BMI greater than the average/healthy range. Children were more than four times more likely to be overweight or obese if their mothers were overweight or obese and had lead levels greater than 5.0 mcg/dL, compared with nonoverweight mothers with levels below 2 mcg/dL (OR, 4.24; 95% CI, 2.64-6.82).

Among children whose mothers were overweight/obese and had high blood lead levels, however, high folate levels appeared protective against obesity. These children had a 41% lower risk of being overweight or obese, compared with others in their group, if their mothers had plasma folate levels of at least 20 nmol/L (OR, 0.59 CI, 0.36-0.95; P = .03).

According to an invited commentary, “approximately 140,000 new chemicals and pesticides have appeared since 1950,” with “universal human exposure to approximately 5,000 of those,” wrote Marco Sanchez-Guerra, PhD, of the National Institute of Perinatology in Mexico City, and coauthors Andres Cardenas, PhD, of the University of California, Berkeley, and Citlalli Osorio-Yáñez, PhD, of the National Autonomous University of Mexico in Mexico City. Yet fewer than half of those chemicals have been tested for safety or toxic effect, the editorialists wrote, and scientists know little of their potential reproductive harm.

Dr. Sanchez-Guerra, Dr. Cardenas, and Dr. Osorio-Yáñez agreed with the study authors that elevated lead exposures, especially from gasoline before lead was removed in the United States in 1975, may partly explain the current epidemic of obesity.

“Identifying preventable prenatal causes of obesity is a cornerstone in the fight against the obesity epidemic,” the editorialists said. While most recommendations center on changes to diet and physical activity, environmental factors during pregnancy could be involved in childhood obesity as well.

“The study by Wang et al. opens the door to new questions about whether adequate folate intake might modify the adverse effects of other chemical exposures,” they continued, noting other research suggesting a protective effect from folate against health effects of air pollution exposure. “These efforts could yield substantial public health benefits and represent novel tools in fighting the obesity epidemic,” they concluded.

The research was funded by the National Institutes of Health and the U.S. Department of Health and Human Services. Neither the study authors nor the editorialists had industry financial disclosures.

SOURCES: Wang G et al. JAMA Netw Open. 2019;2(10):e1912343. doi: 10.1001/jamanetworkopen.2019.12343; Sanchez-Guerra M et al. JAMA Netw Open. 2019;2(10):e1912334. doi: 10.1001/jamanetworkopen.2019.12334.

Children born to mothers with high blood levels of lead have an increased risk of being overweight or obese, particularly if their mothers are also overweight, according to new research.

Creatas Images

Adequate maternal plasma levels of folate, however, mitigated this risk.

“When considered simultaneously, maternal lead exposure, rather than early childhood lead exposure, contributed to overweight/obesity risk in a dose-response fashion across multiple developmental stages (preschool age, school age and early adolescence) and amplified intergenerational overweight/obesity risk (additively with maternal overweight/obesity),” Guoying Wang, MD, PhD, of Johns Hopkins Bloomberg School of Public Health, Baltimore, and associates, reported in JAMA Network Open.

“These findings support the hypothesis that the obesity epidemic could be related to environmental chemical exposures in utero and raise the possibility that optimal maternal folate supplementation may help counteract the adverse effects of environmental lead exposure,” the authors wrote.

The prospective urban, low-income cohort study, which ran from 2002 to 2013, involved 1,442 mother-child pairs who joined the study when the children were born and attended follow-up visits at Boston Medical Center. The mean age of the mothers was 29 years, and the children were, on average, 8 years old at follow-up. Half the children were male; 67% of mothers were black, and 20% were Latina.

The researchers collected maternal blood samples within 24-72 hours after birth to measure red blood cell lead levels and plasma folate levels. Children’s whole-blood lead levels were measured during the first lead screening of their well child visits, at a median 10 months of age. Researchers tracked children’s body mass index Z-score and defined overweight/obesity as exceeding the 85th national percentile for their age and sex.

Detectable lead was present in all the mothers’ blood samples. The median maternal red blood cell lead level was 2.5 mcg/dL, although black mothers tended to have higher lead exposure than that of other racial groups. Median maternal plasma folate level was 32 nmol/L. Children’s blood lead levels were a median 1.4 mcg/dL, and their median BMI Z-score was 0.78.

Children whose mothers had red blood cell lead levels of 5.0 mcg/dL or greater (16%) had 65% greater odds of being overweight or obese compared with children whose mothers’ lead level was less than 2 mcg/dL, after adjustment for maternal education, race/ethnicity, smoking status, parity, diabetes, hypertensive disorder, preterm birth, fetal growth, and breastfeeding status (odds ratio [OR], 1.65; 95% confidence internal [CI], 1.18-2.32). Only 5.2% of children had whole-blood lead levels of 5 mcg/dL or greater.

“Mothers with the highest red blood cell lead levels were older and multiparous, were more likely to be black and nonsmokers, had lower plasma folate levels and were more likely to have prepregnancy overweight/obesity and diabetes,” the authors reported.

The dose-response association did not lose significance when the researchers adjusted for children’s blood lead levels, maternal age, cesarean delivery, term births only, and black race. Nor did it change in a subset of children when the researchers adjusted for children’s physical activity.

The strength of the association increased when mothers also had a BMI greater than the average/healthy range. Children were more than four times more likely to be overweight or obese if their mothers were overweight or obese and had lead levels greater than 5.0 mcg/dL, compared with nonoverweight mothers with levels below 2 mcg/dL (OR, 4.24; 95% CI, 2.64-6.82).

Among children whose mothers were overweight/obese and had high blood lead levels, however, high folate levels appeared protective against obesity. These children had a 41% lower risk of being overweight or obese, compared with others in their group, if their mothers had plasma folate levels of at least 20 nmol/L (OR, 0.59 CI, 0.36-0.95; P = .03).

According to an invited commentary, “approximately 140,000 new chemicals and pesticides have appeared since 1950,” with “universal human exposure to approximately 5,000 of those,” wrote Marco Sanchez-Guerra, PhD, of the National Institute of Perinatology in Mexico City, and coauthors Andres Cardenas, PhD, of the University of California, Berkeley, and Citlalli Osorio-Yáñez, PhD, of the National Autonomous University of Mexico in Mexico City. Yet fewer than half of those chemicals have been tested for safety or toxic effect, the editorialists wrote, and scientists know little of their potential reproductive harm.

Dr. Sanchez-Guerra, Dr. Cardenas, and Dr. Osorio-Yáñez agreed with the study authors that elevated lead exposures, especially from gasoline before lead was removed in the United States in 1975, may partly explain the current epidemic of obesity.

“Identifying preventable prenatal causes of obesity is a cornerstone in the fight against the obesity epidemic,” the editorialists said. While most recommendations center on changes to diet and physical activity, environmental factors during pregnancy could be involved in childhood obesity as well.

“The study by Wang et al. opens the door to new questions about whether adequate folate intake might modify the adverse effects of other chemical exposures,” they continued, noting other research suggesting a protective effect from folate against health effects of air pollution exposure. “These efforts could yield substantial public health benefits and represent novel tools in fighting the obesity epidemic,” they concluded.

The research was funded by the National Institutes of Health and the U.S. Department of Health and Human Services. Neither the study authors nor the editorialists had industry financial disclosures.

SOURCES: Wang G et al. JAMA Netw Open. 2019;2(10):e1912343. doi: 10.1001/jamanetworkopen.2019.12343; Sanchez-Guerra M et al. JAMA Netw Open. 2019;2(10):e1912334. doi: 10.1001/jamanetworkopen.2019.12334.

Children born to mothers with high blood levels of lead have an increased risk of being overweight or obese, particularly if their mothers are also overweight, according to new research.

Creatas Images

Adequate maternal plasma levels of folate, however, mitigated this risk.

“When considered simultaneously, maternal lead exposure, rather than early childhood lead exposure, contributed to overweight/obesity risk in a dose-response fashion across multiple developmental stages (preschool age, school age and early adolescence) and amplified intergenerational overweight/obesity risk (additively with maternal overweight/obesity),” Guoying Wang, MD, PhD, of Johns Hopkins Bloomberg School of Public Health, Baltimore, and associates, reported in JAMA Network Open.

“These findings support the hypothesis that the obesity epidemic could be related to environmental chemical exposures in utero and raise the possibility that optimal maternal folate supplementation may help counteract the adverse effects of environmental lead exposure,” the authors wrote.

The prospective urban, low-income cohort study, which ran from 2002 to 2013, involved 1,442 mother-child pairs who joined the study when the children were born and attended follow-up visits at Boston Medical Center. The mean age of the mothers was 29 years, and the children were, on average, 8 years old at follow-up. Half the children were male; 67% of mothers were black, and 20% were Latina.

The researchers collected maternal blood samples within 24-72 hours after birth to measure red blood cell lead levels and plasma folate levels. Children’s whole-blood lead levels were measured during the first lead screening of their well child visits, at a median 10 months of age. Researchers tracked children’s body mass index Z-score and defined overweight/obesity as exceeding the 85th national percentile for their age and sex.

Detectable lead was present in all the mothers’ blood samples. The median maternal red blood cell lead level was 2.5 mcg/dL, although black mothers tended to have higher lead exposure than that of other racial groups. Median maternal plasma folate level was 32 nmol/L. Children’s blood lead levels were a median 1.4 mcg/dL, and their median BMI Z-score was 0.78.

Children whose mothers had red blood cell lead levels of 5.0 mcg/dL or greater (16%) had 65% greater odds of being overweight or obese compared with children whose mothers’ lead level was less than 2 mcg/dL, after adjustment for maternal education, race/ethnicity, smoking status, parity, diabetes, hypertensive disorder, preterm birth, fetal growth, and breastfeeding status (odds ratio [OR], 1.65; 95% confidence internal [CI], 1.18-2.32). Only 5.2% of children had whole-blood lead levels of 5 mcg/dL or greater.

“Mothers with the highest red blood cell lead levels were older and multiparous, were more likely to be black and nonsmokers, had lower plasma folate levels and were more likely to have prepregnancy overweight/obesity and diabetes,” the authors reported.

The dose-response association did not lose significance when the researchers adjusted for children’s blood lead levels, maternal age, cesarean delivery, term births only, and black race. Nor did it change in a subset of children when the researchers adjusted for children’s physical activity.

The strength of the association increased when mothers also had a BMI greater than the average/healthy range. Children were more than four times more likely to be overweight or obese if their mothers were overweight or obese and had lead levels greater than 5.0 mcg/dL, compared with nonoverweight mothers with levels below 2 mcg/dL (OR, 4.24; 95% CI, 2.64-6.82).

Among children whose mothers were overweight/obese and had high blood lead levels, however, high folate levels appeared protective against obesity. These children had a 41% lower risk of being overweight or obese, compared with others in their group, if their mothers had plasma folate levels of at least 20 nmol/L (OR, 0.59 CI, 0.36-0.95; P = .03).

According to an invited commentary, “approximately 140,000 new chemicals and pesticides have appeared since 1950,” with “universal human exposure to approximately 5,000 of those,” wrote Marco Sanchez-Guerra, PhD, of the National Institute of Perinatology in Mexico City, and coauthors Andres Cardenas, PhD, of the University of California, Berkeley, and Citlalli Osorio-Yáñez, PhD, of the National Autonomous University of Mexico in Mexico City. Yet fewer than half of those chemicals have been tested for safety or toxic effect, the editorialists wrote, and scientists know little of their potential reproductive harm.

Dr. Sanchez-Guerra, Dr. Cardenas, and Dr. Osorio-Yáñez agreed with the study authors that elevated lead exposures, especially from gasoline before lead was removed in the United States in 1975, may partly explain the current epidemic of obesity.

“Identifying preventable prenatal causes of obesity is a cornerstone in the fight against the obesity epidemic,” the editorialists said. While most recommendations center on changes to diet and physical activity, environmental factors during pregnancy could be involved in childhood obesity as well.

“The study by Wang et al. opens the door to new questions about whether adequate folate intake might modify the adverse effects of other chemical exposures,” they continued, noting other research suggesting a protective effect from folate against health effects of air pollution exposure. “These efforts could yield substantial public health benefits and represent novel tools in fighting the obesity epidemic,” they concluded.

The research was funded by the National Institutes of Health and the U.S. Department of Health and Human Services. Neither the study authors nor the editorialists had industry financial disclosures.

SOURCES: Wang G et al. JAMA Netw Open. 2019;2(10):e1912343. doi: 10.1001/jamanetworkopen.2019.12343; Sanchez-Guerra M et al. JAMA Netw Open. 2019;2(10):e1912334. doi: 10.1001/jamanetworkopen.2019.12334.

Elevated serum levels of circulating sex hormones were found to be associated with lower odds of asthma in women, possibly explaining in part the different prevalence of asthma in men and women, according to the findings of a large cross-sectional population based study.

Yueh-Ying Han, PhD, of the Children’s Hospital of Pittsburgh and colleagues investigated the role of free testosterone and estradiol levels and current asthma among adults. The impact of obesity on that association was also examined. The investigators analyzed data from 7,615 adults (3,953 men and 3,662 women) who participated in the 2013-2014 and 2015-2016 U.S. National Health and Nutrition Examination Survey. The data included health interviews, examination components, and laboratory tests on each patient. Serum samples were analyzed by the division of laboratory sciences of the Centers for Disease Control and Prevention. Logistic regression was used for the multivariable analysis of sex hormone levels (as quartiles) and current asthma, and the analysis was done separately on men and women. Pregnant women were excluded, in addition to individuals with incomplete data. The exclusions tended to be Hispanic, former smokers, lower income, and lacking private insurance. The overall prevalence of current asthma in the sample was 9% (6% in men and 13% in women).

Three models were generated based on serum levels in women and in men.

For model 1 (unadjusted for estradiol), women whose serum testosterone levels were in the second and fourth quartiles had 30%-45% significantly lower odds of having current asthma than those whose serum testosterone level was in the lowest quartile. Among men, those whose serum testosterone levels were in the second and fourth quartiles had 12%-13% lower odds for current asthma.

For model 2 (unadjusted for free testosterone), women whose serum estradiol levels were in the third quartile had 34% significantly lower odds of having current asthma than those whose estradiol levels were in the lowest quartile. The findings were similar for men, that is, those whose serum estradiol levels were in the third quartile had 30% lower odds for having asthma, compared with those with in the lowest quartile.

For model 3 (a multivariable model including serum levels of both estradiol and free testosterone), women whose serum testosterone levels were in the second and fourth quartiles had 30% and 44% lower odds of current asthma than those whose serum testosterone levels were in the lowest quartile. But in this multivariable model, the association between serum estradiol and current asthma was not significant. Among men (models 1-3), the magnitude of the estimated effect of serum testosterone and serum estradiol on current asthma was similar to that observed in female participants, but neither serum testosterone nor serum estradiol was significantly associated with current asthma.

The investigators then analyzed the impact of obesity on the relationship between serum hormone levels and obesity. Obesity was defined as body mass index equal to or greater than 30 kg/m². A total of 1,370 men and 1,653 women were included in this analysis. In multivariable analyses of the obese participants, adjustment without (model 1) and with (model 3) serum estradiol, serum free-testosterone levels in the highest (fourth) quartile were significantly associated with reduced odds of asthma in obese women. In multivariable analyses without (model 2) and with (model 3), serum estradiol levels above the first quartile were significantly associated with reduced odds of current asthma in obese women.

In contrast to the results in obese women, neither serum free testosterone nor serum estradiol was significantly associated with current asthma in obese men or nonobese women.

Dr. Han and coauthors suggested a possible mechanism of the role of sex hormones in asthma. “Androgens such as testosterone may reduce innate and adaptive immune responses, while estrogen and progesterone may enhance T-helper cell type 2 allergic airway inflammation.”

They concluded: “We found that elevated serum levels of both free testosterone and estradiol were significantly associated with reduced odds of asthma in obese women, and that elevated levels of serum estradiol were significantly associated with reduced odds of asthma in nonobese men. Our findings further suggest that sex steroid hormones play a role in known sex differences in asthma among adults.”

One coauthor has received research materials from Merck and GlaxoSmithKline (inhaled steroids), as well as Pharmavite (vitamin D and placebo capsules), to provide medications free of cost to participants in National Institutes for Health–funded studies, unrelated to the current work. The other authors reported no conflicts of interest.

tborden@mdedge.com

SOURCE: Han Y-Y et al. J Respir Crit Care Med. 2019 Sep 16. doi: 10.1164/rccm.201905-0996OC.

Elevated serum levels of circulating sex hormones were found to be associated with lower odds of asthma in women, possibly explaining in part the different prevalence of asthma in men and women, according to the findings of a large cross-sectional population based study.

Yueh-Ying Han, PhD, of the Children’s Hospital of Pittsburgh and colleagues investigated the role of free testosterone and estradiol levels and current asthma among adults. The impact of obesity on that association was also examined. The investigators analyzed data from 7,615 adults (3,953 men and 3,662 women) who participated in the 2013-2014 and 2015-2016 U.S. National Health and Nutrition Examination Survey. The data included health interviews, examination components, and laboratory tests on each patient. Serum samples were analyzed by the division of laboratory sciences of the Centers for Disease Control and Prevention. Logistic regression was used for the multivariable analysis of sex hormone levels (as quartiles) and current asthma, and the analysis was done separately on men and women. Pregnant women were excluded, in addition to individuals with incomplete data. The exclusions tended to be Hispanic, former smokers, lower income, and lacking private insurance. The overall prevalence of current asthma in the sample was 9% (6% in men and 13% in women).

Three models were generated based on serum levels in women and in men.

For model 1 (unadjusted for estradiol), women whose serum testosterone levels were in the second and fourth quartiles had 30%-45% significantly lower odds of having current asthma than those whose serum testosterone level was in the lowest quartile. Among men, those whose serum testosterone levels were in the second and fourth quartiles had 12%-13% lower odds for current asthma.

For model 2 (unadjusted for free testosterone), women whose serum estradiol levels were in the third quartile had 34% significantly lower odds of having current asthma than those whose estradiol levels were in the lowest quartile. The findings were similar for men, that is, those whose serum estradiol levels were in the third quartile had 30% lower odds for having asthma, compared with those with in the lowest quartile.

For model 3 (a multivariable model including serum levels of both estradiol and free testosterone), women whose serum testosterone levels were in the second and fourth quartiles had 30% and 44% lower odds of current asthma than those whose serum testosterone levels were in the lowest quartile. But in this multivariable model, the association between serum estradiol and current asthma was not significant. Among men (models 1-3), the magnitude of the estimated effect of serum testosterone and serum estradiol on current asthma was similar to that observed in female participants, but neither serum testosterone nor serum estradiol was significantly associated with current asthma.

The investigators then analyzed the impact of obesity on the relationship between serum hormone levels and obesity. Obesity was defined as body mass index equal to or greater than 30 kg/m². A total of 1,370 men and 1,653 women were included in this analysis. In multivariable analyses of the obese participants, adjustment without (model 1) and with (model 3) serum estradiol, serum free-testosterone levels in the highest (fourth) quartile were significantly associated with reduced odds of asthma in obese women. In multivariable analyses without (model 2) and with (model 3), serum estradiol levels above the first quartile were significantly associated with reduced odds of current asthma in obese women.

In contrast to the results in obese women, neither serum free testosterone nor serum estradiol was significantly associated with current asthma in obese men or nonobese women.

Dr. Han and coauthors suggested a possible mechanism of the role of sex hormones in asthma. “Androgens such as testosterone may reduce innate and adaptive immune responses, while estrogen and progesterone may enhance T-helper cell type 2 allergic airway inflammation.”

They concluded: “We found that elevated serum levels of both free testosterone and estradiol were significantly associated with reduced odds of asthma in obese women, and that elevated levels of serum estradiol were significantly associated with reduced odds of asthma in nonobese men. Our findings further suggest that sex steroid hormones play a role in known sex differences in asthma among adults.”

One coauthor has received research materials from Merck and GlaxoSmithKline (inhaled steroids), as well as Pharmavite (vitamin D and placebo capsules), to provide medications free of cost to participants in National Institutes for Health–funded studies, unrelated to the current work. The other authors reported no conflicts of interest.

tborden@mdedge.com

SOURCE: Han Y-Y et al. J Respir Crit Care Med. 2019 Sep 16. doi: 10.1164/rccm.201905-0996OC.

Elevated serum levels of circulating sex hormones were found to be associated with lower odds of asthma in women, possibly explaining in part the different prevalence of asthma in men and women, according to the findings of a large cross-sectional population based study.

Yueh-Ying Han, PhD, of the Children’s Hospital of Pittsburgh and colleagues investigated the role of free testosterone and estradiol levels and current asthma among adults. The impact of obesity on that association was also examined. The investigators analyzed data from 7,615 adults (3,953 men and 3,662 women) who participated in the 2013-2014 and 2015-2016 U.S. National Health and Nutrition Examination Survey. The data included health interviews, examination components, and laboratory tests on each patient. Serum samples were analyzed by the division of laboratory sciences of the Centers for Disease Control and Prevention. Logistic regression was used for the multivariable analysis of sex hormone levels (as quartiles) and current asthma, and the analysis was done separately on men and women. Pregnant women were excluded, in addition to individuals with incomplete data. The exclusions tended to be Hispanic, former smokers, lower income, and lacking private insurance. The overall prevalence of current asthma in the sample was 9% (6% in men and 13% in women).

Three models were generated based on serum levels in women and in men.

For model 1 (unadjusted for estradiol), women whose serum testosterone levels were in the second and fourth quartiles had 30%-45% significantly lower odds of having current asthma than those whose serum testosterone level was in the lowest quartile. Among men, those whose serum testosterone levels were in the second and fourth quartiles had 12%-13% lower odds for current asthma.

For model 2 (unadjusted for free testosterone), women whose serum estradiol levels were in the third quartile had 34% significantly lower odds of having current asthma than those whose estradiol levels were in the lowest quartile. The findings were similar for men, that is, those whose serum estradiol levels were in the third quartile had 30% lower odds for having asthma, compared with those with in the lowest quartile.

For model 3 (a multivariable model including serum levels of both estradiol and free testosterone), women whose serum testosterone levels were in the second and fourth quartiles had 30% and 44% lower odds of current asthma than those whose serum testosterone levels were in the lowest quartile. But in this multivariable model, the association between serum estradiol and current asthma was not significant. Among men (models 1-3), the magnitude of the estimated effect of serum testosterone and serum estradiol on current asthma was similar to that observed in female participants, but neither serum testosterone nor serum estradiol was significantly associated with current asthma.

The investigators then analyzed the impact of obesity on the relationship between serum hormone levels and obesity. Obesity was defined as body mass index equal to or greater than 30 kg/m². A total of 1,370 men and 1,653 women were included in this analysis. In multivariable analyses of the obese participants, adjustment without (model 1) and with (model 3) serum estradiol, serum free-testosterone levels in the highest (fourth) quartile were significantly associated with reduced odds of asthma in obese women. In multivariable analyses without (model 2) and with (model 3), serum estradiol levels above the first quartile were significantly associated with reduced odds of current asthma in obese women.

In contrast to the results in obese women, neither serum free testosterone nor serum estradiol was significantly associated with current asthma in obese men or nonobese women.

Dr. Han and coauthors suggested a possible mechanism of the role of sex hormones in asthma. “Androgens such as testosterone may reduce innate and adaptive immune responses, while estrogen and progesterone may enhance T-helper cell type 2 allergic airway inflammation.”

They concluded: “We found that elevated serum levels of both free testosterone and estradiol were significantly associated with reduced odds of asthma in obese women, and that elevated levels of serum estradiol were significantly associated with reduced odds of asthma in nonobese men. Our findings further suggest that sex steroid hormones play a role in known sex differences in asthma among adults.”

One coauthor has received research materials from Merck and GlaxoSmithKline (inhaled steroids), as well as Pharmavite (vitamin D and placebo capsules), to provide medications free of cost to participants in National Institutes for Health–funded studies, unrelated to the current work. The other authors reported no conflicts of interest.

tborden@mdedge.com

SOURCE: Han Y-Y et al. J Respir Crit Care Med. 2019 Sep 16. doi: 10.1164/rccm.201905-0996OC.

American diets have improved in the last several decades, with declines in consumption of low-quality carbohydrates and increases in plant protein and healthy fats, based on data from a nationally representative sample of 43,996 adults.

Changes in the economy, food policies, and food processing can affect diet over time, but trends in consumption of macronutrients in the U.S. have not been well studied, wrote Zhilei Shan, MD, of Harvard T.H. Chan School of Public Health, Boston, and colleagues.

In a study published in JAMA, the researchers reviewed data from nine consecutive cycles of the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2016 to determine trends in macronutrient intake. The study population included adults aged 20 years and older who could provide at least 1 valid dietary recall questionnaire. The average age was 47 years, and 52% were women.

Overall, total carbohydrate consumption decreased from 52.5% to 50.5%, the estimated energy from high-quality carbohydrates increased from 7.42% to 8.65%, and the estimated energy from low-quality carbohydrates decreased from 45.1% to 41.8%. Total protein consumption increased from 15.5% to 16.4%, and plant protein consumption increased from 5.38% to 5.76%. Total fat consumption increased from 32.0% to 33.2%, including a 0.36% increase in saturated fatty acids from 11.5% to 11.9% and a 0.65% increase in polyunsaturated fatty acids from 7.58% to 8.23%.

Although the changes in total carbohydrates, total protein, and total fat were significant, 42% of energy intake came from low-quality carbohydrates and 10% came from saturated fat, the researchers noted. Also, the overall diet quality as measured by the Healthy Eating Index 2015 (HEI-2015) improved from 55.7 in 1999 to 57.7 in 2016. The HEI-2015 measures how diet data adheres to recommendations in the 2015-2020 Dietary Guidelines for Americans on a scale of 0-100.

“Improvements in intakes of whole grains and plant protein are encouraging, but how much do popular foods such as pizza, fast food sandwiches and burgers, and foods categorized as ‘snacks’ and ‘desserts’ contribute to the U.S. eating pattern?” wrote Linda Van Horn, PhD, RDN, and Marilyn C. Cornelis, PhD, of Northwestern University, Chicago, in an editorial accompanying the study. They cited a closer look at the NHANES data in the USDA’s “What We Eat in America” report and noted the differences in ethnicity with regard to macronutrient consumption.

“Non-Hispanic whites consume more alcohol, pizza, and fast food sandwiches (24% of total energy), while non-Hispanic blacks consume more salty snacks and sweet desserts (17% of total energy), and Hispanics consume more sugar-sweetened beverages (8% of total energy) and the least alcohol compared with the other racial/ethnic groups,” they said. “Public health efforts to educate, inform, and incent better adherence to the recommended nutrient-dense food groups are clearly needed,” they emphasized.

The study findings were limited by several factors, including the use of self-reports and changes in dietary assessments over time, the researchers noted. However, the results are strengthened by the large sample size and suggest improvements in the overall American diet, but also highlight the need for continuing public education and intervention, they said.

The study was supported by the National Institutes of Health and the Young Scientists Fund of the National Natural Science Foundation of China. Dr. Shan had no financial conflicts to disclose. Dr. Van Horn disclosed being a member of the 2020 US Dietary Guidelines Advisory Committee.

SOURCE: Shan Z et al. JAMA. 2019. doi: 10.1001/jama.2019.13771.

American diets have improved in the last several decades, with declines in consumption of low-quality carbohydrates and increases in plant protein and healthy fats, based on data from a nationally representative sample of 43,996 adults.

Changes in the economy, food policies, and food processing can affect diet over time, but trends in consumption of macronutrients in the U.S. have not been well studied, wrote Zhilei Shan, MD, of Harvard T.H. Chan School of Public Health, Boston, and colleagues.

In a study published in JAMA, the researchers reviewed data from nine consecutive cycles of the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2016 to determine trends in macronutrient intake. The study population included adults aged 20 years and older who could provide at least 1 valid dietary recall questionnaire. The average age was 47 years, and 52% were women.

Overall, total carbohydrate consumption decreased from 52.5% to 50.5%, the estimated energy from high-quality carbohydrates increased from 7.42% to 8.65%, and the estimated energy from low-quality carbohydrates decreased from 45.1% to 41.8%. Total protein consumption increased from 15.5% to 16.4%, and plant protein consumption increased from 5.38% to 5.76%. Total fat consumption increased from 32.0% to 33.2%, including a 0.36% increase in saturated fatty acids from 11.5% to 11.9% and a 0.65% increase in polyunsaturated fatty acids from 7.58% to 8.23%.

Although the changes in total carbohydrates, total protein, and total fat were significant, 42% of energy intake came from low-quality carbohydrates and 10% came from saturated fat, the researchers noted. Also, the overall diet quality as measured by the Healthy Eating Index 2015 (HEI-2015) improved from 55.7 in 1999 to 57.7 in 2016. The HEI-2015 measures how diet data adheres to recommendations in the 2015-2020 Dietary Guidelines for Americans on a scale of 0-100.

“Improvements in intakes of whole grains and plant protein are encouraging, but how much do popular foods such as pizza, fast food sandwiches and burgers, and foods categorized as ‘snacks’ and ‘desserts’ contribute to the U.S. eating pattern?” wrote Linda Van Horn, PhD, RDN, and Marilyn C. Cornelis, PhD, of Northwestern University, Chicago, in an editorial accompanying the study. They cited a closer look at the NHANES data in the USDA’s “What We Eat in America” report and noted the differences in ethnicity with regard to macronutrient consumption.

“Non-Hispanic whites consume more alcohol, pizza, and fast food sandwiches (24% of total energy), while non-Hispanic blacks consume more salty snacks and sweet desserts (17% of total energy), and Hispanics consume more sugar-sweetened beverages (8% of total energy) and the least alcohol compared with the other racial/ethnic groups,” they said. “Public health efforts to educate, inform, and incent better adherence to the recommended nutrient-dense food groups are clearly needed,” they emphasized.

The study findings were limited by several factors, including the use of self-reports and changes in dietary assessments over time, the researchers noted. However, the results are strengthened by the large sample size and suggest improvements in the overall American diet, but also highlight the need for continuing public education and intervention, they said.

The study was supported by the National Institutes of Health and the Young Scientists Fund of the National Natural Science Foundation of China. Dr. Shan had no financial conflicts to disclose. Dr. Van Horn disclosed being a member of the 2020 US Dietary Guidelines Advisory Committee.

SOURCE: Shan Z et al. JAMA. 2019. doi: 10.1001/jama.2019.13771.

American diets have improved in the last several decades, with declines in consumption of low-quality carbohydrates and increases in plant protein and healthy fats, based on data from a nationally representative sample of 43,996 adults.

Changes in the economy, food policies, and food processing can affect diet over time, but trends in consumption of macronutrients in the U.S. have not been well studied, wrote Zhilei Shan, MD, of Harvard T.H. Chan School of Public Health, Boston, and colleagues.

In a study published in JAMA, the researchers reviewed data from nine consecutive cycles of the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2016 to determine trends in macronutrient intake. The study population included adults aged 20 years and older who could provide at least 1 valid dietary recall questionnaire. The average age was 47 years, and 52% were women.

Overall, total carbohydrate consumption decreased from 52.5% to 50.5%, the estimated energy from high-quality carbohydrates increased from 7.42% to 8.65%, and the estimated energy from low-quality carbohydrates decreased from 45.1% to 41.8%. Total protein consumption increased from 15.5% to 16.4%, and plant protein consumption increased from 5.38% to 5.76%. Total fat consumption increased from 32.0% to 33.2%, including a 0.36% increase in saturated fatty acids from 11.5% to 11.9% and a 0.65% increase in polyunsaturated fatty acids from 7.58% to 8.23%.

Although the changes in total carbohydrates, total protein, and total fat were significant, 42% of energy intake came from low-quality carbohydrates and 10% came from saturated fat, the researchers noted. Also, the overall diet quality as measured by the Healthy Eating Index 2015 (HEI-2015) improved from 55.7 in 1999 to 57.7 in 2016. The HEI-2015 measures how diet data adheres to recommendations in the 2015-2020 Dietary Guidelines for Americans on a scale of 0-100.

“Improvements in intakes of whole grains and plant protein are encouraging, but how much do popular foods such as pizza, fast food sandwiches and burgers, and foods categorized as ‘snacks’ and ‘desserts’ contribute to the U.S. eating pattern?” wrote Linda Van Horn, PhD, RDN, and Marilyn C. Cornelis, PhD, of Northwestern University, Chicago, in an editorial accompanying the study. They cited a closer look at the NHANES data in the USDA’s “What We Eat in America” report and noted the differences in ethnicity with regard to macronutrient consumption.

“Non-Hispanic whites consume more alcohol, pizza, and fast food sandwiches (24% of total energy), while non-Hispanic blacks consume more salty snacks and sweet desserts (17% of total energy), and Hispanics consume more sugar-sweetened beverages (8% of total energy) and the least alcohol compared with the other racial/ethnic groups,” they said. “Public health efforts to educate, inform, and incent better adherence to the recommended nutrient-dense food groups are clearly needed,” they emphasized.

The study findings were limited by several factors, including the use of self-reports and changes in dietary assessments over time, the researchers noted. However, the results are strengthened by the large sample size and suggest improvements in the overall American diet, but also highlight the need for continuing public education and intervention, they said.

The study was supported by the National Institutes of Health and the Young Scientists Fund of the National Natural Science Foundation of China. Dr. Shan had no financial conflicts to disclose. Dr. Van Horn disclosed being a member of the 2020 US Dietary Guidelines Advisory Committee.

SOURCE: Shan Z et al. JAMA. 2019. doi: 10.1001/jama.2019.13771.