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Substituting Time Spent in Physical Activity and Sedentary Time and Its Association with Cardiovascular Disease Among Northwest Chinese Adults

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Journal Prev Med Rep
Date 2024 Dec 18
PMID 39691358
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Abstract

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; 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; 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.

References
1.
Li X, Wu C, Lu J, Chen B, Li Y, Yang Y . Cardiovascular risk factors in China: a nationwide population-based cohort study. Lancet Public Health. 2020; 5(12):e672-e681. DOI: 10.1016/S2468-2667(20)30191-2. View

2.
Li L, Dai F, Zhang D . The effect of exercise intensity types on the self-rated health status of young-old comorbidities patients: a cross-sectional study in Guangdong, China. Front Public Health. 2023; 11:1292712. PMC: 10693424. DOI: 10.3389/fpubh.2023.1292712. View

3.
Chen X, Jiang Y, Wang L, Li Y, Zhang M, Hu N . [Leisure-time physical activity and sedentary behaviors among Chinese adults in 2010]. Zhonghua Yu Fang Yi Xue Za Zhi. 2012; 46(5):399-403. View

4.
Eijsvogels T, Thompson P, Franklin B . The "Extreme Exercise Hypothesis": Recent Findings and Cardiovascular Health Implications. Curr Treat Options Cardiovasc Med. 2018; 20(10):84. PMC: 6132728. DOI: 10.1007/s11936-018-0674-3. View

5.
Wang Z, Ma L, Liu M, Fan J, Hu S . Summary of the 2022 Report on Cardiovascular Health and Diseases in China. Chin Med J (Engl). 2023; 136(24):2899-2908. PMC: 10752444. DOI: 10.1097/CM9.0000000000002927. View