Evidence map›Paper›PMID 41345642›Full record

ArticleThe international journal of behavioral nutrition and physical activity2025

Temporal trends of no moderate to vigorous physical activity in adolescents: a 16-year trend analysis of 115,926 participants.

Sitong Chen, Denver Brown, Christopher D Pfledderer, Wendy Y Huang, Mark S Tremblay

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Article in The international journal of behavioral nutrition and physical activity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Sitong ChenInstitute for Health and Sport, Victoria University, Melbourne, VIC, Australia. sitong.chen@live.vu.edu.au.
Denver BrownDepartment of Kinesiology, College of Health and Human Sciences, Kansas State University, Manhattan, KS, USA.
Christopher D PfleddererDepartment of Health Promotion and Behavioral Sciences, School of Public Health, University of Texas Health Science Centre Houston, Austin, TX, USA.
Wendy Y HuangDepartment of Sport, Physical Education and Health, Hong Kong Baptist University, Hong Kong, China.
Mark S TremblayChildren's Hospital of Eastern Ontario Research Institute, Ottawa, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEngaging in no moderate-to-vigorous physical activity (MVPA) has been recognized as an important indicator in physical activity (PA) surveillance, as any engagement in MVPA confers health benefits compared to none. Studying the prevalence of no MVPA can provide valuable insights into physical inactivity patterns and inform public health intervention efforts. While some cross-sectional studies have examined this issue, no research has analysed year-to-year trends. Therefore, the aim of this study was to assess trends of no MVPA among adolescents and key subgroups using a nationally representative US sample.

methodsData from 2005 to 2021 cycles of the Youth Risk Behavior Surveillance System were used, with 115,926 US adolescents aged 14-17 years included (female: unweighted sample size = 58,582, 50.5%; weighted%=49.4%). Participants self-reported their demographic (sex, age, race/ethnicity, body mass index) and behavioural information (days of ≥ 60 min of MVPA over the past week, and recreational screen time). No MVPA was operationalized as reporting 0 days of ≥ 60 min of MVPA. Trend analysis was performed to assess temporal variations from 2005 to 2021 using a series of binary logistic regression models after controlling for demographic and screen time related variables.

resultsDeclining trends in no MVPA were observed among adolescents from 2005 (weighted: 24.3%) to 2021 (weighted: 15.5%). After stratifying by sex, age, race/ethnicity, body mass index and recreational screen time, similar downward trends were shown across all adolescent subgroups consistently (p for trend < 0.001). Girls, older adolescents, those who identified as non-White, adolescents with excess weight, and those engaging in more than 2 h of recreational screen time per day tended to report no MVPA at higher rates (all p < 0.001) compared to their counterparts.

conclusionsNo MVPA has declined among the US adolescents, especially after 2009. Notably, sociodemographic disparities were observed in no MVPA among different population subgroups. PA promotion strategies targeting girls and older adolescents should be prioritized to further reduce the prevalence of no MVPA.

Indexed as

Adolescent BehaviorExerciseSedentary BehaviorAdolescentBody Mass IndexCross-Sectional StudiesFemaleHealth BehaviorHumansMalePattern Analysis, MachineScreen TimeUnited StatesPhysical activitySchool-aged studentsTime-use epidemiologyTrend

Identifiers

PMID41345642
PMCPMC12797897

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.