Dataset Information

Male Eating Disorder Symptom Patterns and Health Correlates From 13 to 26 Years of Age.

ABSTRACT: Research on the manifestations and health correlates of eating disorder symptoms among males is lacking. This study identified patterns of appearance concerns and eating disorder behaviors from adolescence through young adulthood and their health correlates.Participants were 7,067 males from the prospective Growing Up Today Study. Surveys from 1999 to 2007 (spanning ages 13-26 years) provided repeated measures data on muscularity and leanness concerns, eating disorder behaviors (purging, overeating, binge eating, use of muscle-building products), and health correlates (obesity, non-marijuana drug use, binge drinking, and depressive symptoms).Latent class analyses of observations at ages 13 to 15, 16 to 18, 19 to 22, and 23 to 26 years identified 1 large Asymptomatic class and 4 symptomatic patterns: Body Image Disturbance (high appearance concerns, low eating disorder behaviors; 1.0%-6.0% per age period); Binge Eating/Purging (binge eating and purging, use of muscle-building products, low appearance concerns; 0.1%-2.5%); Mostly Asymptomatic (low levels of muscularity concern, product use, and overeating; 3.5%-5.0%); and Muscularity Concerns (high muscularity concerns and use of products; 0.6%-1.0%). The Body Image Disturbance class was associated with high estimated prevalence of depressive symptoms. Males in the Binge Eating/Purging and Muscularity Concerns classes had high prevalence of binge drinking and drug use. Despite exhibiting modestly greater appearance concerns and eating disorder behaviors than the Asymptomatic class, being in the Mostly Asymptomatic class was prospectively associated with adverse health outcomes.Results underscore the importance of measuring concerns about leanness, muscularity, and use of muscle-building products when assessing eating disorder presentations among males in research and clinical settings.

SUBMITTER: Calzo JP

PROVIDER: S-EPMC4964795 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature

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Male Eating Disorder Symptom Patterns and Health Correlates From 13 to 26 Years of Age.

Calzo Jerel P JP Horton Nicholas J NJ Sonneville Kendrin R KR Swanson Sonja A SA Crosby Ross D RD Micali Nadia N Eddy Kamryn T KT Field Alison E AE

Journal of the American Academy of Child and Adolescent Psychiatry 20160527 8

<h4>Objective</h4>Research on the manifestations and health correlates of eating disorder symptoms among males is lacking. This study identified patterns of appearance concerns and eating disorder behaviors from adolescence through young adulthood and their health correlates.<h4>Method</h4>Participants were 7,067 males from the prospective Growing Up Today Study. Surveys from 1999 to 2007 (spanning ages 13-26 years) provided repeated measures data on muscularity and leanness concerns, eating dis ...[more]

PMID: 27453083

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Project description:BackgroundHealthy eating is associated with lower risks of disease and mortality, but the mechanisms underlying these associations are unclear. Age is strongly related to health outcomes, and biological age can be estimated using the blood methylome.ObjectivesTo determine whether healthy eating patterns are associated with methylation-based measures of biological age.MethodsAmong women in the Sister Study, we calculated scores on 4 recommendation-based healthy eating indexes [Dietary Approaches to Stop Hypertension diet, Healthy Eating Index-2015, Alternative Healthy Eating Index (aHEI-2010), and the Alternative Mediterranean diet] using a validated 110-item Block FFQ completed at enrollment. Genome-wide DNA methylation data were generated using the HumanMethylation450 BeadChip on whole blood samples collected at enrollment from a case-cohort sample of 2694 women and were used to calculate 4 measures of epigenetic age acceleration (Hannum AgeAccel, Horvath AgeAccel, PhenoAgeAccel, and GrimAgeAccel). Linear regression models, adjusted for covariates and cohort sampling weights, were used to examine cross-sectional associations between eating patterns and measures of biological age.ResultsAll 4 healthy eating indexes had inverse associations with epigenetic age acceleration, most notably with PhenoAgeAccel and GrimAgeAccel. Of these, the strongest associations were for aHEI-2010 [per 1-SD increase in diet quality, PhenoAgeAccel β = -0.5 y (95% CI: -0.8 to -0.2 y) and GrimAgeAccel β = -0.4 y (95% CI: -0.6 to -0.3 y)]. Although effect modification was not observed for most lifestyle factors, in analyses stratified by physical activity, the benefits of a healthy diet on epigenetic age acceleration were more pronounced among women who did not meet physical activity guidelines (reporting <2.5 h/wk of exercise).ConclusionsHigher diet quality is inversely associated with methylation-based measures of biological age. Improving diet could have the most benefits in lowering biological age among women with lower levels of physical activity. This trial was registered at clinicaltrials.gov as NCT00047970.

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Dataset Information

Male Eating Disorder Symptom Patterns and Health Correlates From 13 to 26 Years of Age.

Publications

Male Eating Disorder Symptom Patterns and Health Correlates From 13 to 26 Years of Age.

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