Interruption in physical activity behavior among Chinese adults in 2015 and 2020

Trends and multilevel correlates based on two national surveys

Bibliographic Data

ID15369957
AuthorsYibo Gao (0000-0002-0008-9987, Juntendo University), Mingzhe Li (0009-0005-8522-2597, China Institute of Sport Science), Koya Suzuki (0000-0002-2089-0886, Juntendo University), Yanfeng Zhang (0009-0000-8335-5779, China Institute of Sport Science, corresponding author), Yichuan Tian (Soochow University), Xiang Pan (0000-0001-9108-944X, Juntendo University), Lupei Jiang (Juntendo University), Donghai Xu (Juntendo University), Qiaoyu Yang (Juntendo University)
Year2026
Volume26
Issue1
Publication date2026-02-25
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBMC Public Health (JOURNAL)
Journal identifiersISSN: 1471-2458 • E-ISSN: 1471-2458
PublisherBioMed Central (PUBLISHER • GB)
DOI10.1186/s12889-026-26760-3
PMID41735906
OpenAlexW7131314414
LanguageEN
References cited49

While physical activity (PA) promotion is a global priority, behavioral interruption remains a significant challenge for long-term maintenance. This study aims to analyze the trends and multilevel correlates of interruption in PA behavior among Chinese adults using national survey data from 2015 to 2020, providing a basis for targeted public health interventions. Data were drawn from the 2015 and 2020 National Fitness Surveys that included 31 provinces (autonomous regions and municipalities) in China, including 120,067 adults aged 20–59 years (54,854 in 2015 and 65,213 in 2020). χ2 tests were used to compare the rates of interruption in PA behavior. Generalized linear models were used to examine the individual-, family-, and community-level factors associated with interruption in PA behavior. A pooled analysis with interaction terms (survey year × correlates) was performed to formally test the changes in association strength between 2015 and 2020. The covariates included age, sex, residence, education, occupation, and marital status. The prevalence of interruption in PA behavior was higher in 2020 than in 2015 (16.4% vs. 6.8%, χ2=2596.723, p < 0.001). At the individual level, lack of interest in PA (2015 odds ratio [OR] = 1.64, 95% confidence interval [CI]: 1.37–1.93; 2020 OR = 1.51, 95% CI: 1.32–1.73), feeling lazy about PA engagement (2015 OR = 1.16, 95% CI: 1.03–1.29; 2020 OR = 1.17, 95% CI: 1.05–1.31), and perceiving a good physical condition (2015 OR = 1.24, 95% CI: 1.04–1.49; 2020 OR = 1.11, 95% CI: 1.00–1.24) were positively associated with interruption in PA behavior. Receiving professional guidance was negatively associated with interruption (2015 OR = 0.87, 95% CI: 0.79–0.96; 2020 OR = 0.73, 95% CI: 0.55–0.93). At the family level, household responsibility in 2020 (OR = 1.13, 95% CI: 1.01–1.34) and work demands (2015 OR = 1.08, 95% CI: 1.02–1.15; 2020 OR = 1.19, 95% CI: 1.05–1.42) were associated with a higher likelihood of interruption in PA behavior. Childcare responsibility showed a modest positive association in 2020 (OR = 1.11, 95% CI: 1.02–1.22). At the community level, perceived lack of convenient access was negatively associated with interruption in PA behavior (2015 OR = 0.80, 95% CI: 0.64–0.95; 2020 OR = 0.85, 95% CI: 0.79–0.92). Lack of suitable facilities in 2020 (OR = 1.22, 95% CI: 1.10–1.33), lack of organized groups or teams in 2020 (OR = 1.33, 95% CI: 1.21–1.47), and financial constraints in 2015 (OR = 1.09, 95% CI: 1.03–1.16, p = 0.047) were positively associated with interruption. Interaction analyses confirmed that the associations for professional guidance, lack of interest, and household responsibilities significantly changed between 2015 and 2020 (all p < 0.05). Between 2015 and 2020, interruption in PA behavior among Chinese adults increased substantially. Multiple-level factors (individual, family, and community) were associated with the interruption patterns. Then, structural shifts in correlates over time. Understanding these characteristics may help inform the development of public health strategies that support sustained PA engagement

Behavioral Risk Factor Surveillance System · Biostatistics · Confidence interval · Feeling · Marital status · Multilevel model · Odds ratio · Physical activity · Public health · Behavioral Health and Interventions · Eating Disorders and Behaviors · Physical Activity and Health · Epidemiology

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