Health and Fitness

Associations of movement behaviors and body mass index: comparison between a report-based and monitor-based method using Compositional Data Analysis

Y. Kim, R. D. Burns, et al.

This groundbreaking study by Youngwon Kim, Ryan D. Burns, Duck-chul Lee, and Gregory J. Welk explores how sleep, sedentary behavior, and physical activity are linked to body mass index (BMI). Utilizing advanced Compositional Data Analysis, the research highlights the stronger associations found using monitor-based methods. Discover how shifting your routine could lead to significant BMI reductions!

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Playback language: English

Index

Abstract

This study examined the associations of sleep, sedentary behavior (SED), light-intensity physical activity (LPA), and moderate-to-vigorous PA (MVPA) with body mass index (BMI) using Compositional Data Analysis (CoDA), comparing a report-based method (24-h Physical Activity Recall; 24PAR) and a monitor-based method (SenseWear Armband; SWA). Using data from 1247 adults, results showed associations between time spent in sleep, SED, and MVPA with BMI using both methods, with stronger associations and greater explained variance observed using the SWA. Replacing SED with MVPA, LPA (not with 24PAR), or sleep was associated with BMI reductions, with larger effects observed using SWA.

Publisher

International Journal of Obesity

Published On

Jul 13, 2020

Authors

Youngwon Kim, Ryan D. Burns, Duck-chul Lee, Gregory J. Welk

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