Contrary to commonly held assumptions, weight misperception among a non-clinical sample of youth who were overweight or obese predicted lower future weight gain. Efficacy of efforts to correct weight misperception should be rigorously examined to assess for both intended and unintended consequences.

Objective The increased occurrence of disordered eating behaviors among sexual minorities is well established; however, few studies have examined disparities in eating disorder diagnoses among this population. This study sought to examine lifetime prevalence estimates of DSM‐5 defined EDs, including anorexia nervosa (AN), bulimia nervosa (BN), and binge‐eating disorder (BED) as a function of sexual orientation. We then compared prevalence of EDs based on experiences with perceived discrimination. Method A nationally representative sample of U.S. adults (N = 35,995) participating in the 2012–2013 National Epidemiologic Survey on Alcohol and Related Conditions‐III completed structured diagnostic interviews. Results Prevalence rates were significantly higher among sexual minorities than heterosexual respondents for all EDs: AN = 1.71% (SE = 0.50) versus 0.77% (SE = 0.07), BN = 1.25% (SE = 0.37) versus 0.24% (SE = 0.03), BED = 2.17% (SE = 0.52) versus 0.81% (SE = 0.05). Odds of lifetime diagnosis were significantly greater among sexual minorities for AN (adjusted odds ratio [AOR] = 1.93), BN (AOR = 3.69), and BED (AOR = 2.32), after adjusting for sociodemographic variables. Sexual minorities reporting experiences with perceived discrimination had significantly higher prevalence of AN than those not endorsing perceived discrimination: 3.78% (SE = 1.43) versus 0.82% (SE = 0.33); AOR = 5.06. There were no significant differences in prevalence of BN or BED by perceived discrimination. Discussion Findings indicate that sexual minorities are disproportionately affected by EDs. Further research is needed to better understand mechanisms contributing to these disparities and heightened risk for EDs.

Abstract Objective To present a topical review of minority stressors contributing to psychosocial and physical health disparities in transgender and gender expansive (TGE) adolescents. Methods We conducted a topical review of original research studies focused on distal stressors (e.g., discrimination; victimization; rejection; nonaffirmation), proximal stressors (e.g., expected rejection; identity concealment; internalized transphobia), and resilience factors (e.g., community connectedness; pride; parental support) and mental and physical health outcomes. Results Extant literature suggests that TGE adolescents experience a host of gender minority stressors and are at heightened risk for negative health outcomes; however, limited research has directly applied the gender minority stress framework to the experiences of TGE adolescents. Most research to date has focused on distal minority stressors and single path models to negative health outcomes, which do not account for the complex interplay between chronic minority stress, individual resilience factors, and health outcomes. Research examining proximal stressors and resilience factors is particularly scarce. Conclusions The gender minority stress model is a helpful framework for understanding how minority stressors contribute to health disparities and poor health outcomes among TGE adolescents. Future research should include multiple path models that examine relations between gender minority stressors, resilience factors, and health outcomes in large, nationally representative samples of TGE adolescents. Clinically, adaptations of evidence-based interventions to account for gender minority stressors may increase effectiveness of interventions for TGE adolescents and reduce health disparities in this population of vulnerable youth.

The objective of this article was to determine (1) the existence of individually varying patterns of physical activity, sedentary behavior, and nutrition intake risk; and (2) how these risk-patterns relate to youth's demographics, Body mass index (BMI) and psychosocial functioning. Participants (N = 9,304) from the 2007 8th Grade Early Childhood Longitudinal Study Cohort completed the revised Self-Description Questionnaire II. Age, sex, height, and weight were used to calculate body mass index (BMI) z scores and percentiles. Three risk profiles emerged via Latent Profile Analyses: "Active + Healthy Diet" (AHD; 16.3% Obese); "Sedentary + Unbalanced Diet" (SUD; 21.3% Obese); and "Screen-Time + Recreational Food" (STRF; 25.0% Obese). Significant differences in BMIs, psychosocial factors, and demographic characteristics were found across the profiles. Differential patterns of physical activity, sedentary behavior, and nutritional choices were found to predict BMI and psychosocial functioning. These findings may be helpful to refine and develop modular-based prevention and weight control intervention programs.

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