Background: The high prevalence and incidence of obesity and eating disorders in US adolescent girls are serious health problems. Because of the shar

Objective This review discusses the current knowledge and future directions regarding obesity within the US military family (i.e., active‐duty servicemembers, as well as military spouses, children, retirees, and veterans). The increasing rates of overweight and obesity within the US military adversely impact military readiness, limit recruitment, and place a significant financial burden on the Department of Defense. Design and Methods The following topics are reviewed: 1) The prevalence of and the financial, physical, and psychological costs associated with overweight in military communities; 2) military weight regulations, and challenges faced by the military family related to overweight and disordered eating; 3) the continued need for rigorous program evaluations and new intervention development. Results Overweight and its associated sequelae impact the entire military family. Military families share many similarities with their civilian counterparts, but they face unique challenges (e.g., stress related to deployments and relocations). Although the military has weight management resources, there is an urgent need for rigorous program evaluation and the development of enhanced obesity prevention programs across the lifespan of the military family—several of which are proposed herein. Conclusions Interdisciplinary and collaborative research efforts and team‐based interventions will continue to inform understanding of obesity treatment and prevention within military and civilian populations.

Background: Previous research has implicated demographic, psychological, behavioral, and cognitive variables in the onset and maintenance of pediatric overweight/obesity. No adequately-powered study has simultaneously modeled these variables to assess their relative associations with body mass index (BMI; kg/m²) in a nationally representative sample of youth.Methods: Multiple machine learning regression approaches were employed to estimate the relative importance of 43 demographic, psychological, behavioral, and cognitive variables previously associated with BMI in youth to elucidate the associations of both fixed (e.g. demographics) and potentially modifiable (e.g. psychological/behavioral) variables with BMI in a diverse representative sample of youth. The primary analyses consisted of 9–10 year olds divided into a training (n= 2724) and test (n= 1123) sets. Secondary analyses were conducted by sex, ethnicity, and race.Results: The full sample model captured 12% of the variance in both the training and test sets, suggesting good generalizability. Stimulant medications and demographic factors were most strongly associated with BMI. Lower attention problems and matrix reasoning (i.e. nonverbal abstract problem solving and inductive reasoning) and higher social problems and screen time were robust positive correlates in the primary analyses and in analyses separated by sex.Conclusions: Beyond demographics and stimulant use, this study highlights abstract reasoning as an important cognitive variable and reaffirms social problems and screen time as significant correlates of BMI and as modifiable therapeutic targets. Prospective data are needed to understand the predictive power of these variables for BMI gain.