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Device-independent Physical Activity metrics and adiposity-related indicators among children and adolescents in the United States

  • Denver M.Y. Brown
  • , Christopher D. Pfledderer
  • , Peter Stoepker
  • , Kar Hau Chong
  • , Chelsea L. Kracht
  • , Stuart J. Fairclough
  • Kansas State University
  • The University of Texas Health Science Center (Houston) School of Public Health in Austin
  • University of Wollongong
  • University of Kansas

Research output: Contribution to journalArticle (journal)peer-review

Abstract

This study investigated associations between device-independent physical activity (PA) metrics and adiposity-related indicators among U.S. children and adolescents. Nationally representative cross-sectional data from three NHANES cycles (2011–2014) were analyzed, including 5,274 participants (weighted n = 43,156,858; 49.3% female; ages 6–17 years) who wore accelerometers on their non-dominant wrist for 7 days and had five adiposity-related indicators assessed: BMI z-score, total body and trunk fat percent (DXA), overweight/obesity (BMI), and abdominal obesity (waist-to-height ratio). Raw accelerometry data were used to calculate PA volume (Daily Monitor Independent Movement Summary [MIMS]) and intensity (Peak-60 MIMS). Survey-weighted regression models, adjusted for covariates, showed inverse associations between PA volume (B = −0.230, 95% CI: −0.334,-0.125) and intensity (B = −0.211, 95% CI: −0.250,-0.172) with total body fat percent, trunk fat percent (volume B = −0.192, 95% CI: −0.312,-0.071; intensity B = −0.227, 95% CI: −0.273,-0.181), overweight/obesity (volume OR = 0.967, 95% CI: 0.944,0.991; intensity OR = 0.953, 95% CI: 0.943,0.963) and abdominal obesity (volume OR = 0.963, 95% CI: 0.939,0.988; intensity OR = 0.951, 95% CI: 0.940,0.962). PA intensity was inversely associated with BMI z-score (B = −0.022, 95% CI: −0.028,-0.016). Stronger associations were observed during childhood and among girls. These findings highlight the importance of promoting PA, particularly higher-intensity activities, to mitigate excess adiposity and demonstrate the value of device-independent metrics for PA research.
Original languageEnglish
Pages (from-to)2551-2564
Number of pages14
JournalJournal of Sports Sciences
Volume43
Issue number21
Early online date8 Aug 2025
DOIs
Publication statusPublished - 8 Aug 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Accelerometry
  • youth
  • exercise
  • obesity
  • time-use epidemiology
  • Body Mass Index
  • Obesity, Abdominal
  • Cross-Sectional Studies
  • Nutrition Surveys
  • Humans
  • Male
  • Exercise/physiology
  • Absorptiometry, Photon
  • Overweight
  • Adiposity/physiology
  • Waist-Height Ratio
  • United States/epidemiology
  • Pediatric Obesity/epidemiology
  • Adolescent
  • Female
  • Accelerometry/instrumentation
  • Child

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