Cross-sectional associations between weight-related health behaviors and weight misperception among U.S. adolescents with overweight/obesity

Abstract Background Weight misperception occurs when there is a discrepancy between one’s actual and perceived weight status. Among adolescents with overweight/obesity, many believe that correcting weight misperception is imperative to inspire weight-related behavior change. However, past research has shown that adolescents with overweight/obesity who misperceive their weight status gain less weight over time compared to accurate perceivers. Therefore, our objective was to examine possible mechanisms underlying this relationship. Specifically, we examined the association between weight misperception and engagement in weight-related health behaviors among adolescents with overweight/obesity. Methods Self-reported data from the 2015 National Youth Risk Behavior Survey was used in analyses restricted to participants with overweight/obesity (n = 4383). Using multivariate logistic models correcting for sex, race/ethnicity, and grade in school, we examined the cross-sectional associations between weight misperception and engagement in weight-related health behaviors, specifically related to dietary intake, physical activity, and sleep. Results Adolescents with overweight/obesity who misperceived their weight status were more likely to drink 100% fruit juice two or more times per day (OR = 1.53, 95% CI: 1.20, 1.94), eat vegetables two or more times per day (OR = 1.29, 95% CI: 1.07, 1.57), be physically active for 1 hour or more per day for at least 5 days in the week prior (OR = 1.40, 95% CI: 1.15, 1.72), be on a sports team in the last year (OR = 1.55, 95% CI: 1.21, 1.97), sleep an average of at least 8 hours per school night (OR = 1.40, 95% CI: 1.15, 1.72), and less likely to be trying to lose weight (OR = 0.17, 95% CI: 0.15, 0.20). Misperceivers were more likely to consume breakfast every morning in the week prior and to drink a sports drink at least once per day, though these results were not statistically significant. We observed no difference in fruit intake, soda intake, or TV viewing between weight misperceivers and accurate perceivers. Conclusions Overall, weight misperception among adolescents with overweight/obesity was associated with a number of beneficial weight-related health behaviors. Engagement in these healthy weight-related behaviors may explain some of the protective effect of weight misperception on weight gain over time. Trial registration Not applicable.https://deepblue.lib.umich.edu/bitstream/2027.42/143164/1/12889_2018_Article_5394.pd

Disparities in eating disorder risk and diagnosis among sexual minority college students: Findings from the national Healthy Minds Study

ObjectiveTo examine differences in eating disorder (ED) risk and diagnosis by sexual orientation in a national sample of college students.MethodData from 178 U.S. colleges and universities participating in the Healthy Minds Study between 2016 and 2019 were analyzed (36,691 cisgender men, 81,730 cisgender women; 15.7% self‐identifying as sexual minorities). Outcomes were ED risk (≥2 on the SCOFF) and self‐reported lifetime ED diagnosis. Prevalence estimates adjusted for demographics and weight status were computed via logistic regression.ResultsHigher proportions of questioning (29.1%), bisexual (26.3%), and gay men (30.9%) exhibited elevated risk than heterosexual men (14.3%), and a higher proportion of gay men exhibited elevated risk than bisexual men. Higher proportions of questioning (34.5%) and bisexual women (34.6%) exhibited elevated risk than heterosexual women (27.6%); proportions of lesbian (28.1%) and heterosexual women were similar. Among those with elevated risk, higher proportions of bisexual (5.0%) and gay men (7.1%) and of questioning (14.7%), bisexual (18.1%), and lesbian women (19.6%) had been diagnosed relative to heterosexual men (2.0%) and heterosexual women (10.3%), respectively.DiscussionQuestioning and bisexual individuals appear to be particularly vulnerable; they may experience elevated ED risk relative to their heterosexual peers yet underdiagnosis relative to their gay or lesbian peers.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/162796/2/eat23304_am.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162796/1/eat23304.pd

Eating disorder risk in rural US adolescents: What do we know and where do we go?

Adolescence is a vulnerable period for the development of eating disorders, but there are disparities in eating disorder risk among adolescents. One population that may be at increased risk but is vastly understudied, is adolescents residing in rural regions within the United States. Rural communities face many mental and physical health disparities; however, the literature on rural adolescent eating disorder risk is nearly nonexistent. In this paper we summarize the scant literature on disordered eating and eating disorder risk and prevalence among rural US adolescents. We also detail eating disorder risk factors that may have unique influence in this population, including socioeconomic status, food insecurity, healthcare access, body image, and weight stigma. Given the presence of numerous eating disorder risk factors, we speculate that rural adolescents may be a particularly vulnerable population for eating disorders and we propose critical next steps in research for understanding eating disorder risk among the understudied population of rural adolescents.Public SignificanceRural adolescents may be at increased risk for eating disorders due to disproportionate burden of known risk factors, though this relationship remains understudied. We present a summary of the literature on prevalence and unique risk factors, proposing that this may be a high-risk population. We detail next steps for research to understand eating disorder risk in this population to inform future prevention, identification, and treatment efforts needed in this community.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/175789/1/eat23843_am.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/175789/2/eat23843.pd

DRAM for distilling microbial metabolism to automate the curation of microbiome function

Microbial and viral communities transform the chemistry of Earth's ecosystems, yet the specific reactions catalyzed by these biological engines are hard to decode due to the absence of a scalable, metabolically resolved, annotation software. Here, we present DRAM (Distilled and Refined Annotation of Metabolism), a framework to translate the deluge of microbiome-based genomic information into a catalog of microbial traits. To demonstrate the applicability of DRAM across metabolically diverse genomes, we evaluated DRAM performance on a defined, in silico soil community and previously published human gut metagenomes. We show that DRAM accurately assigned microbial contributions to geochemical cycles and automated the partitioning of gut microbial carbohydrate metabolism at substrate levels. DRAM-v, the viral mode of DRAM, established rules to identify virally-encoded auxiliary metabolic genes (AMGs), resulting in the metabolic categorization of thousands of putative AMGs from soils and guts. Together DRAM and DRAM-v provide critical metabolic profiling capabilities that decipher mechanisms underpinning microbiome function