Associations of regular consumption of breakfast, lunch and dinner with Body Mass Index during adolescence: longitudinal findings by weight status among the Eating and Activity over Time 2010-2018 cohort.

OBJECTIVE: To examine how the associations between meal consumption and BMI over 8 years differ by weight status in a sample of adolescents. DESIGN: Longitudinal, population-based study. Breakfast, lunch and dinner consumption and BMI were self-reported. Linear regressions were used to examine how the associations between meal consumption and BMI differed by weight status. SETTING: Adolescents in the Minneapolis/St. Paul metropolitan area. PARTICIPANTS: Adolescents (n 1,471) were surveyed as part of the EAT 2010-2018 in 2009-2010 (Mage = 14·3 years) and 2017-2018 (Mage = 22·0 years). RESULTS: The prevalence of regular breakfast, lunch and dinner consumption (≥ 5 times/week) ranged from 45 to 65 %, 75 to 89 % and 76 to 94 %, respectively, depending on weight status category. Among adolescents with a sex- and age-specific BMI < 15th percentile, regular consumptions of breakfast, lunch and dinner during adolescence were positively associated with BMI in emerging adulthood compared with irregular consumption of breakfast, lunch and dinner (<5 times/week) after adjustment for socio-demographic characteristics (ß = 5·43, ß = 5·39 and ß = 6·46, respectively; all P-values <0·01). Among adolescents in the BMI 15-85th and 85-95th percentiles, regular consumptions of breakfast, lunch and dinner were positively associated with BMI but to a lesser extent (P-values <0·01). For participants with a BMI ≥ 95th percentile, regular consumptions of breakfast, lunch and dinner were positively associated with BMI, but the associations were not statistically significant (P-values > 0·05). CONCLUSIONS: The relationship between meal consumption during adolescence and BMI in emerging adulthood differs by adolescent weight status. Future studies should investigate underlying factors related to meal consumption routines and BMI.

Adverse childhood experiences and disordered eating among middle-aged adults: Findings from the coronary artery risk development in young adults study.

Adverse childhood experiences (ACEs) include childhood abuse, neglect, and household substance abuse. Childhood abuse is a risk factor for disordered eating (DEB). Less well established are associations of childhood neglect and household substance abuse with DEB, and little research has examined ACE associations with DEB in middle adulthood. The objective of this study was to examine associations between ACEs and DEBs among middle-aged adults and examine sex differences. ACEs prior to age 18 were retrospectively assessed in the Coronary Artery Risk Development in Young Adults study in 2000-2001 (N = 3340, ages 32 to 46). DEB outcomes (i.e., concerns about weight and shape, anxiety about eating or food, unhealthy weight control behaviors, chronic dieting, overeating, and binge eating) were assessed in 1995-1996 (ages 27 to 41). Modified Poisson regressions estimated risk ratios (RRs) for associations of a history of any ACE, each ACE, and cumulative ACEs with DEB outcomes. Among women, emotional abuse, physical neglect, and emotional neglect were each modestly associated with most DEBs (RRs = 1.21-1.35, 1.21-1.45, and 1.23-1.41 across DEBs, respectively) after adjustment for sociodemographic variables, BMI, and depressive symptoms. A cumulative ACE score was associated with all DEBs in a stepwise manner (p for trend ≤0.05) except concerns about weight and shape and overeating. Among men, emotional abuse was most consistently related to the majority of DEBs (RRs = 1.23-1.92); household substance abuse was modestly associated with overeating (RR = 1.26, 95% CI = 1.04-1.53). ACEs were cumulatively associated with unhealthy weight control behaviors, overeating, and binge eating (p for trend <0.01).

Everyday discrimination as a predictor of maladaptive and adaptive eating: Findings from EAT 2018.

Various types of stressors are associated with maladaptive eating, but how the stressor of everyday discrimination (e.g., less respect, poorer service) relates to maladaptive eating and adaptive eating remains unclear. We examined everyday discrimination as a predictor of maladaptive and adaptive eating. Data were collected in a population-based study, Eating and Activity over Time (N = 1410, ages 18-30). Everyday discrimination was categorized as none, low, moderate, or high. Outcomes included maladaptive eating (i.e., overeating and binge eating) and adaptive eating (i.e., intuitive eating and mindful eating). Modified Poisson regressions estimated the prevalence ratios (PRs) for overeating and binge eating associated with everyday discrimination. Linear regressions estimated associations between everyday discrimination and intuitive and mindful eating scores. After adjustment for age, ethnicity/race, gender, and socioeconomic status, moderate and high levels of discriminatory experiences were each associated with a significantly greater prevalence of binge eating (PR = 2.2, [95% CI = 1.3-3.7] and PR = 3.1, [95% CI = 2.0-4.7], respectively) and lower intuitive (ß = -0.4, [95% CI = -0.7, -0.2] and ß = -0.5 [95% CI = -0.8, -0.3], respectively), and mindful eating scores (ß = -0.3, [95% CI = -0.6, -0.1] and ß = -0.5 [95% CI = -0.8, -0.3], respectively) compared to young adults with no discriminatory experience. Public health efforts to prevent maladaptive eating and encourage the adoption of adaptive eating should consider the potential contribution of everyday discrimination and the need to advocate for equity and inclusion.

The most optimal school recruitment strategies for school-based obesity prevention and health promotion research in the United States: A systematic review with Delphi study.

This systematic review with the Delphi study aimed to identify effective and resource-efficient (optimal) strategies for recruiting schools into health promotion interventions in the United States. A literature search was conducted in PubMed, Cochrane Library, and CINAHL (EBSCO). A total of 116 interventions reported in 160 articles were included. Most school-based interventions did not report data regarding school recruitment duration (81%), target school size (63%), and school recruitment strategies (78%). Further, no details were provided regarding the reasons for declining to participate despite being eligible. For the Delphi, responses from 23 researchers in school-based clinical trials were collected. A qualitative descriptive approach was used for coding responses and collapsed into higher-order categories based on school recruitment strategies. Delphi participants reported that (1) creating new or leveraging pre-existing partnerships, (2) intervention champion, (3) minimal school disruptions, (4) working with open mind/flexibility, and (5) transparent communication are the most optimal school recruitment strategies. Staff time and travel were the most frequently reported costs for implementing those strategies. The overall trend in school-based obesity prevention intervention studies illustrates the importance of a better understanding school recruitment. Improved reporting can allow researchers to budget their time and resources better and provide greater confidence in reaching their target school size.