Substituting time spent in physical activity and sedentary time and its association with cardiovascular disease among northwest Chinese adults

Yutong Wang; Peiying Yang; Huimeng Liu; Suixia Cao; Jingchun Liu; Yating Huo; Kun Xu; Binyan Zhang; Mengchun Wang; Qian Huang; Chunlai Yang; Lingxia Zeng; Shaonong Dang; Baibing Mi

Preventive Medicine Reports (Jan 2025)

Substituting time spent in physical activity and sedentary time and its association with cardiovascular disease among northwest Chinese adults

Yutong Wang,
Peiying Yang,
Huimeng Liu,
Suixia Cao,
Jingchun Liu,
Yating Huo,
Kun Xu,
Binyan Zhang,
Mengchun Wang,
Qian Huang,
Chunlai Yang,
Lingxia Zeng,
Shaonong Dang,
Baibing Mi

Affiliations

Yutong Wang: Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Department of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University, Xi'an 710061, China
Peiying Yang: Department of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University, Xi'an 710061, China; Shaanxi Open Sharing Platform of Critical Disease Prevention and Big Health Data Science, Xi'an 710061, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an 710061, China
Huimeng Liu: Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University, Xi'an 710061, China
Suixia Cao: Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Department of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University, Xi'an 710061, China; Shaanxi Open Sharing Platform of Critical Disease Prevention and Big Health Data Science, Xi'an 710061, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an 710061, China; Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University, Xi'an 710061, China; Department of Neurology, The First Affilated Hospital of Xi'an Jiaotong University, Xi'an 710061, China; Ministry of Science and Technology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China; Dongcheng District Center for Disease Control and Prevention, Beijing 100009, China
Jingchun Liu: Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Department of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University, Xi'an 710061, China; Shaanxi Open Sharing Platform of Critical Disease Prevention and Big Health Data Science, Xi'an 710061, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an 710061, China; Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University, Xi'an 710061, China; Department of Neurology, The First Affilated Hospital of Xi'an Jiaotong University, Xi'an 710061, China; Ministry of Science and Technology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China; Dongcheng District Center for Disease Control and Prevention, Beijing 100009, China
Yating Huo: Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Department of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University, Xi'an 710061, China; Shaanxi Open Sharing Platform of Critical Disease Prevention and Big Health Data Science, Xi'an 710061, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an 710061, China; Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University, Xi'an 710061, China; Department of Neurology, The First Affilated Hospital of Xi'an Jiaotong University, Xi'an 710061, China; Ministry of Science and Technology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China; Dongcheng District Center for Disease Control and Prevention, Beijing 100009, China
Kun Xu: Department of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University, Xi'an 710061, China; Shaanxi Open Sharing Platform of Critical Disease Prevention and Big Health Data Science, Xi'an 710061, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an 710061, China
Binyan Zhang: Department of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University, Xi'an 710061, China; Shaanxi Open Sharing Platform of Critical Disease Prevention and Big Health Data Science, Xi'an 710061, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an 710061, China
Mengchun Wang: Department of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University, Xi'an 710061, China; Shaanxi Open Sharing Platform of Critical Disease Prevention and Big Health Data Science, Xi'an 710061, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an 710061, China
Qian Huang: Department of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University, Xi'an 710061, China; Shaanxi Open Sharing Platform of Critical Disease Prevention and Big Health Data Science, Xi'an 710061, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an 710061, China
Chunlai Yang: Department of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University, Xi'an 710061, China; Shaanxi Open Sharing Platform of Critical Disease Prevention and Big Health Data Science, Xi'an 710061, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an 710061, China
Lingxia Zeng: Department of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University, Xi'an 710061, China; Shaanxi Open Sharing Platform of Critical Disease Prevention and Big Health Data Science, Xi'an 710061, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an 710061, China
Shaonong Dang: Department of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University, Xi'an 710061, China; Shaanxi Open Sharing Platform of Critical Disease Prevention and Big Health Data Science, Xi'an 710061, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an 710061, China
Baibing Mi: Department of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University, Xi'an 710061, China; Shaanxi Open Sharing Platform of Critical Disease Prevention and Big Health Data Science, Xi'an 710061, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an 710061, China; Corresponding author at: Department of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University, Xi'an 710061, China.

Journal volume & issue: Vol. 49
p. 102934

Abstract

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Objectives: To examine the association between physical activity (PA) and leisure-time sedentary time and cardiovascular disease (CVD). Methods: This cross-sectional study used baseline data from the Regional Ethnic Cohort Study in Northwest China from June 2018 to May 2019. PA and leisure-time sedentary time were self-reported. Logistic regression models analyzed the association of PA and leisure-time sedentary time with CVD prevalence individually and jointly. Restricted cubic spline analyses assessed dose-response relationships. Isotemporal substitution models were used to investigate substituting leisure-time sedentary time, light physical activity (LPA), and moderate-to-vigorous physical activity (MVPA) with CVD prevalence. Results: The prevalence of CVD was 31.8 %. Compared to the lowest quartile, participants in the highest quartile of total PA had a 32 % lower CVD prevalence (odds ratio [OR]: 0.68, 95 % confidence interval [CI]: 0.62–0.74; P for trend <0.001). The fully adjusted OR for the highest quartile of leisure-time sedentary time compared to the lowest quartile was 1.09 (1.01–1.18; P for trend =0.04). An L-shaped dose-response relationship was observed between PA and CVD prevalence. An active lifestyle and reduced daily leisure-time sedentary time were associated with a 26 % (0.74 [0.63–0.86]) lower CVD prevalence. Additionally, substituting 30 min/day of leisure-time sedentary time with equivalent MVPA was associated with a 2 % (0.98 [0.97–0.99]) reduction in CVD prevalence. Substituting sedentary time with LPA was associated with a lower CVD prevalence in females. Conclusions: An active lifestyle was associated with a lower prevalence of CVD in regional populations, suggesting a feasible strategy for CVD prevention and regional health promotion.

Published in Preventive Medicine Reports

ISSN: 2211-3355 (Online)
Publisher: Elsevier
Country of publisher: United States
LCC subjects: Medicine
Website: http://www.journals.elsevier.com/preventive-medicine-reports/

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