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Article Title

ARE CLUSTERED 24-HR ACTIVITY BEHAVIORS ASSOCIATED WITH DEPRESSION?

Abstract

Madeline Musacchio, Tara Samtmann, Bella Smith, Michelle L. Meyer, Lee Stoner, FACSM, Jimikaye B. Courtney, Patricia Pagan Lassalle. The University of North Carolina at Chapel Hill, Chapel Hill, NC.

BACKGROUND: Among young adults, depression reached crisis levels during the last decade. This crisis is far from over. Depression is linked to the development of other mental health-related disorders and events like eating disorders, sleep disorders, suicide, and substance abuse. There is an urgent need to identify simple, lifestyle-based strategies for managing depression risk. One important strategy about which we know little is the management of 24-hours activity behaviors (24-AB), defined as the distribution of sleep, sedentary behavior, and physical activity throughout the day. The aim of this study is to assess the strength of the association between latent profiles of 24-AB and depression in young adults. METHODS: We will analyze data from the 2015-2018 National Health and Nutrition Examination and Survey (NHANES) for individuals 18-30 years old with complete responses to the depression screener, sleep disorder, and physical activity surveys. Estimates will be stratified, clustered, and weighted to account for the probability-sample design. Depression scores will be estimated using the Patient Health Questionnaire, which describes the frequency of depressive symptoms over the last 2 weeks. Each item is scored from 0-3, and categorized as either “Not at all”, “Several days”, “More than half the days”, and “Nearly every day” with a possible total score ranging from 0-27. Latent profile analysis will be used to identify profiles of 24-AB based on z-scores for sleep hours, minutes of moderate and vigorous physical activity per week, and minutes of sedentary behavior per week. An analysis of variance will be used to test between-profile differences in mean depression scores. ANTICIPATED RESULTS: The latent analysis will identify at least two distinct 24-AB profiles. The findings from this proposal will identify 24-AB profiles associated with fewer depressive symptoms, which could inform public health recommendations. GRANT OR FUNDING INFORMATION: PPL is supported by the National Institute on Aging of the National Institutes of Health under award number R01AG062488.

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