Kumar, Seema

It is unknown how many children with obesity are offered treatments aligned with clinical practice guidelines. This study examined electronic medical record data from a Midwest, USA, health system to quantify referrals to obesity treatment among patients 2–17 years old with obesity presenting for well-child visits in 2022 and/or 2023. Mixed-effects logistic regression models tested associations of referral placement with child characteristics, the Area Deprivation Index, and distance to specialty care. Of 14,893 patients, 591 (4.0%) received a referral. Referrals were associated with severe obesity ( p < 0.001), older age ( p < 0.001), proximity to specialty care ( p < 0.001), number of well-visits ( p ≤ 0.001), and identification with a minoritized race or ethnicity ( p < 0.05–0.001). Findings indicate a large gap from the current state of referrals to alignment with practice guidelines for pediatric obesity. Furthermore, research needs to explore and address barriers to referrals and treatment access.

Objective: To identify an efficacious intervention on treating adolescents with overweight and obesity, this might result in health benefits. Methods: Adolescents with overweight or obesity aged 10–17 years with BMI percentile ≥85th were included in this historical observational analysis. Subjects used an entirely remote weight loss program combining mobile applications, frequent self-weighing, and calorie restriction with meal replacement. Body weight changes were evaluated at 42, 60, 90, and 120 days using different metrics including absolute body weight, BMI, and BMI z-score. Chi-square or Fisher exact tests (categorical variables) and Student's t -test (continuous variables) were used to compare subjects. Results: In total, 2,825 participants, mean age 14.4 ± 2.2 years, (54.8% girls), were included from October 27, 2016, to December 31, 2017, in mainland China; 1355 (48.0%) had a baseline BMI percentile ≥97th. Mean BMI and BMI z-score were 29.20 ± 4.44 kg/m 2 and 1.89 ± 0.42, respectively. At day 120, mean reduction in body weight, BMI, and BMI z-score was 8.6 ± 0.63 kg, 3.13 ± 0.21 kg/m 2 , and 0.42 ± 0.03; 71.4% had lost ≥5% body weight, 69.4% of boys and 73.2% of girls, respectively. Compared with boys, girls achieved greater reduction on BMI z-score at all intervals ( p < 0.004 for all comparisons). Higher BMI percentile at baseline and increased frequency of use of the mobile application were directly associated with more significant weight loss. Conclusions: An entirely remote digital weight loss program is effective in facilitating weight loss in adolescents with overweight or obesity in the short term and mid term.