Trends and risk factors of diabetes and prediabetes in US adolescents, 1999-2020.

AIMS: To assess the national trends in prevalence of diabetes and prediabetes and their major risk factors among adolescents in the US. METHODS: We analyzed data on 6,936 adolescents aged 12 to 19 years from the National Health and Nutrition Examination Surveys (NHANES) between 1999 and 2020. Diabetes was defined by self-reported physician-diagnosis (diagnosed) and by fasting plasma glucose and HbA1c levels (undiagnosed). Prediabetes was identified by fasting plasma glucose and HbA1c levels. Logistic regression was performed to estimate the associations of major risk factors with diabetes and prediabetes. RESULTS: The prevalence of prediabetes in adolescents increased from 11.5% in 1999-2002 to 36.3% in 2015-2020. The prevalence of diabetes increased from 0.82% (0.62% of diagnosed and 0.20% of undiagnosed) in 1999-2002 to 1.14% (0.76% of diagnosed and 0.38% of undiagnosed) in 2015-2020, but the increase was not statistically significant (P value = 0.69). Obesity was significantly associated with higher odds of diabetes and prediabetes while boys and Mexican Americans had a significantly higher risk of prediabetes than their counterparts. CONCLUSIONS: The prevalence of prediabetes among adolescents in the US has more than tripled from 1999 to 2020. Obese adolescents are at the greatest risk for diabetes and prediabetes.

Adolescent Diet Quality, Cardiometabolic Risk, and Adiposity: A Prospective Cohort.

OBJECTIVE: Examine the prospective association among diet with adolescent cardiometabolic risk (CMR) and anthropometrics. METHODS: Secondary analysis of an observational study of adolescents aged 10-16 years. Twenty-four-hour food recalls were used to calculate Healthy Eating Index-2015 (HEI-2015) scores. Anthropometrics were assessed using magnetic resonance imaging, dual-energy x-ray absorptiometry, and height/weight measurements. CMR included mean arterial pressure, homeostatic model assessment for insulin resistance, high-density lipoprotein cholesterol, and triglycerides. Associations between HEI-2015 score at baseline with follow-up adiposity and CMR were examined using regression models. RESULTS: A total of 192 adolescents were included. Baseline HEI-2015 scores were inversely associated with follow-up total CMR z-score (P = 0.01), homeostatic model assessment for insulin resistance (P < 0.01), waist circumference z-score (P = 0.02), body mass index percentile (P = 0.01), fat mass (P = 0.04), lean mass (P = 0.02), and visceral adipose tissue mass (P = 0.01). CONCLUSIONS AND IMPLICATIONS: Adolescents with lower adherence to dietary guidelines and greater CMR and anthropometry measurements at baseline continued this trajectory across the observation.

Trends in Obesity Prevalence Among Children and Adolescents Aged 2 to 19 Years in the US From 2011 to 2020.

This cross-sectional study assesses trends in the prevalence of obesity in children and adolescents in the US between 2011 and 2020.

Obese patients with polycystic ovary syndrome: evidence that metformin does not restore sensitivity of the gonadotropin-releasing hormone pulse generator to inhibition by ovarian steroids.

Women with polycystic ovary syndrome (PCOS) have reduced GnRH sensitivity to suppression by ovarian steroids, which can be ameliorated by androgen blockade. We studied nine PCOS women and nine controls to determine whether metformin could change feedback inhibition by estradiol (E(2)) and progesterone (P). LH was measured every 10 min, and FSH, E(2), P, and testosterone (T) were measured every 2 h. Frequently sampled iv glucose tolerance test was performed at the end of each admission. After the first admission, metformin (500 mg, three times a day) was started. The second admission occurred on d 8-11 of the next menstrual cycle in controls and on d 28 in PCOS patients. Patients subsequently took E(2) and P for 1 wk until the third admission. At baseline, PCOS women had higher T, free T, androstenedione, and estrone. After 4 wk of metformin, controls had a slight reduction in total T, but free T was unchanged. However, PCOS patients had reduced insulin, T, and E(2), and increased LH mean/amplitude and FSH. After ovarian steroids, controls had a greater reduction in LH pulse frequency than PCOS (61 vs. 25%). These results suggest that the beneficial effects of metformin on ovulatory function in obese PCOS women are probably not mediated by enhanced hypothalamic sensitivity.