Negative affect and loss-of-control eating in relation to adiposity among non-Hispanic youth identifying as black or white.

Negative affect and loss-of-control (LOC)-eating are consistently linked and prevalent among youth identifying as non-Hispanic Black (NHB) and non-Hispanic White (NHW), particularly those with high weight. Given health disparities in high weight and associated cardiometabolic health concerns among NHB youth, elucidating how the association of negative affect with adiposity may vary by racial/ethnic group, and whether that relationship is impacted by LOC-eating, is warranted. Social inequities and related stressors are associated with negative affect among NHB youth, which may place this group at increased risk for excess weight gain. Across multiple aggregated protocols, 651 youth (13.0 ± 2.7 y; 65.9 % girls, 40.7 % NHB; 1.0 ± 1.1 BMIz; 37.6 % LOC-eating) self-reported trait anxiety and depressive symptoms as facets of negative affect. LOC-eating was assessed by interview and adiposity was measured objectively. Cross-sectional moderated mediation models predicted adiposity from ethno-racial identification (NHB, NHW) through the pathway of anxiety or depressive symptoms and examined whether LOC-eating influenced the strength of the pathway, adjusting for SES, age, height, and sex. The association between ethno-racial identity and adiposity was partially mediated by both anxiety (95 % CI = [0.01, 0.05]) and depressive symptoms (95 % CI = [0.02, 0.08]), but the mediation was not moderated by LOC-eating for either anxiety (95 % CI = [-0.04, 0.003]) or depressive symptoms (95 % CI = [-0.07, 0.03]). Mechanisms underlying the link between negative affect and adiposity among NHB youth, such as stress from discrimination and stress-related inflammation, should be explored. These data highlight the need to study impacts of social inequities on psychosocial and health outcomes.

Stigma and Barriers in Health Care Among a Sample of Transgender and Gender-Diverse Active Duty Service Members.

BACKGROUND: Transgender and/or gender-diverse (TGD) persons are vulnerable to stigma and health care inequities; however, data are particularly limited among TGD active duty military service members despite ongoing changes to service policies. TGD-related stressors may impede access to and utilization of health care due to fear of potential discrimination and distress, thereby adversely impacting military readiness. METHODS: We examined stigma and barriers in health care and associations with physical and mental health in an online sample of 177 active duty service members who self-identified as TGD. To assess associations between stigma and barriers in health care with mental and physical health, linear regressions were conducted adjusting for age, gender identity, race, and rank. RESULTS: Over half (65%) of the participants reported at least 1 instance of stigma and/or barrier in health care. Stigma and barriers to health care were significantly associated with greater self-reported depressive symptoms (ß=0.20, P =0.03), anxiety (ß=0.21, P =0.03), stress (ß=0.30, P =0.001), and poorer overall mental health (ß=-0.23, P =0.007), after adjusting for covariates. Nearly one-quarter of participants had not disclosed their gender identity to their primary care clinician. CONCLUSIONS: Findings suggested that stigma and barriers to affirming health care were prevalent among active duty service members identifying as TGD, specifically, difficulty accessing gender-affirming care and negative assumptions from clinicians. These experiences may adversely affect mental health and impede the quality of health care received by a population already vulnerable to health inequities. Given recent changes to military policy, efforts may be warranted to improve access to timely, affirming care and clinician training.

Associations of sleep with food cravings and loss-of-control eating in youth: An ecological momentary assessment study.

BACKGROUND: Inconsistent sleep patterns may promote excess weight gain by increasing food cravings and loss-of-control (LOC)-eating; however, these relationships have not been elucidated in youth. OBJECTIVE: We tested whether sleep duration and timing were associated with food cravings and LOC-eating. METHOD: For 14 days, youths wore actigraphy monitors to assess sleep and reported severity of food cravings and LOC-eating using ecological momentary assessment. Generalized linear mixed models tested the associations between weekly and nightly shifts in facets of sleep (i.e., duration, onset, midpoint, and waketime) and next-day food cravings and LOC-eating. Models were re-run adjusting for relevant covariates (e.g., age, sex, adiposity). RESULTS: Among 48 youths (12.88 ± 2.69 years, 68.8% female, 33.3% with overweight/obesity), neither weekly nor nightly facets of sleep were significantly associated with food cravings (ps = 0.08-0.93). Youths with shorter weekly sleep duration (est. ß = -0.31, p = 0.004), earlier weekly midpoints (est. ß = -0.47, p = 0.010) and later weekly waketimes (est. ß = 0.49, p = 0.010) reported greater LOC-eating severity; findings persisted in adjusted models. CONCLUSIONS: In youth, weekly, but not nightly, shifts in multiple facets of sleep were associated with LOC-eating severity; associations were not significant for food cravings. Sleep should be assessed as a potentially modifiable target in paediatric LOC-eating and obesity prevention programs.

Assessment of loss-of-control eating in healthy youth by interview and questionnaire.

OBJECTIVE: The aim of this study is to evaluate two questionnaires, an updated youth version of the questionnaire on eating and weight patterns (Questionnaire on Eating and Weight Patterns-5 Children/Adolescent [QEWP-C-5]) and the Loss-of-Control (LOC) Eating Disorder Questionnaire (LOC-ED-Q), against the Eating Disorder Examination (EDE) interview to assess the presence of LOC-eating among youth. METHOD: Two-hundred and eighteen youths (12.8 ± 2.7 years) completed the QEWP-C-5, LOC-ED-Q, and EDE, depressive and anxiety questionnaires, and adiposity assessment. Sensitivity, specificity, positive-predictive value, negative-predictive value, and diagnostic accuracy were calculated; Cochran's Q and McNemar's tests were used to compare measures. Receiver operating characteristic area under the curve (AUC) analyses were performed. Mood and adiposity based on LOC-eating presence and absence based on each measure were examined. RESULTS: The QEWP-C-5 and LOC-ED-Q demonstrated poor sensitivity (33%; 30%) and high specificity (95%; 96%) compared with the EDE. The AUCs suggested neither the QEWP-C-5 (0.64) nor the LOC-ED-Q (0.62) demonstrated acceptable diagnostic accuracy. Comparing distributions of LOC-eating presence between assessments, the QEWP-C-5 and EDE did not differ significantly (p = .10), while the LOC-ED-Q and EDE had significantly different distributions (p = .03). LOC-eating presence was associated with higher depressive and anxiety symptoms across all measures (ps < .02). Greater adiposity (ps < .02) was associated with LOC-eating presence on the EDE and LOC-ED-Q, and higher BMI z-score (p = .02) on the LOC-ED-Q. DISCUSSION: Neither the QEWP-C-5 nor the LOC-ED-Q was sensitive for identifying LOC-eating presence as determined by the EDE, although both were associated with greater mood symptoms. Research is needed to improve self-report questionnaires to better screen for LOC-eating presence among pediatric populations.

Demographic, psychological, behavioral, and cognitive correlates of BMI in youth: Findings from the Adolescent Brain Cognitive Development (ABCD) study.

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.

Obesity and public policy.

There is a pressing need to reduce both the prevalence and impact of obesity. This review begins with a discussion of the roles of treatment and prevention. Two overriding issues, weight bias and the addictive nature of food, are covered because of their importance not only to the individuals affected but also to public policy. We then cover promising policy areas in which changes can be implemented to support healthy behaviors: school policy, food marketing, food labeling and packaging, and taxes on unhealthy foods. The roles of the food industry and federal, state, and local governments are also discussed.

Laboratory assessment of the food intake of children and adolescents with loss of control eating.

BACKGROUND: Loss of control (LOC) eating in youth predicts excessive weight gain. However, few studies have measured the actual energy intake of children reporting LOC eating. OBJECTIVE: The objective was to characterize the energy intake and macronutrient composition of "normal" and "binge" laboratory meals in nonoverweight and overweight boys and girls with LOC eating. DESIGN: Children aged 8-17 y (n = 177) consumed 2 lunchtime meals ad libitum from a multi-item food array after being instructed to either binge eat (binge meal) or to eat normally (normal meal). Prior LOC eating was determined with a semistructured clinical interview. RESULTS: Participants consumed more energy at the binge meal than at the normal meal (P = 0.001). Compared with youth with no LOC episodes (n = 127), those reporting LOC (n = 50) did not consume more energy at either meal. However, at both meals, youth with LOC consumed a greater percentage of calories from carbohydrates and a smaller percentage from protein than did those without LOC (P < 0.05). Children with LOC ate more snack and dessert-type foods and less meats and dairy (P < 0.05). LOC participants also reported greater increases in postmeal negative affect at both meals than did those without LOC (P < or = 0.05). Secondary analyses restricted to overweight and obese girls found that those with LOC consumed more energy at the binge meal (P = 0.025). CONCLUSIONS: When presented with an array of foods, youth with LOC consumed more high-calorie snack and dessert-type foods than did those without LOC. Further research is required to determine whether habitual consumption of such foods may promote overweight. This trial was registered at clinicaltrials.gov as NCT00320177.