Jiang Changjun, Chen Tianhong, Xiang Jianfeng, Pang Yiqun
School of Physical Education, Southwest Petroleum University, Chengdu, 610500, China.
Sichuan Students' Physical Health Big Data Research and Joint Application Technology Center, Chengdu, 610000, China.
Sci Rep. 2024 Dec 30;14(1):31739. doi: 10.1038/s41598-024-81919-5.
Stroke is one of the leading causes of death in developing countries, and China bears the largest global burden of stroke. This study aims to investigate the relationship between different dimensions of physical activity levels and stroke risk using a nationally representative database. We performed a cross-sectional analysis using data from the China Health and Retirement Longitudinal Study (CHARLS) 2020. Binary logistic regression models were used to analyze the associations between different dimensions of physical activity levels (intensity, frequency, duration, and total physical activity (TPA)) and stroke risk in Chinese middle-aged and older adults. Subgroups were analyzed according to participants' age, sex, residency, hypertension, dyslipidemia, and diabetes stratification. The results showed that after adjusting for all covariates, almost all frequencies and durations of moderate physical activity (MPA), and high-frequency and long-duration vigorous physical activity (VPA) were associated with lower stroke risk. No significant relationship was observed between light physical activity (LPA) and stroke risk. TPA was categorized into quartiles (Q1, Q2, Q3, Q4). Compared with the first quartile, the third and fourth quartiles were significantly associated with lower stroke risk, with risk reductions of 35% (OR 0.65, 95% CI 0.50-0.84) and 42% (OR 0.58, 95% CI 0.44-0.76), respectively. Subgroup analysis revealed differences in the association between TPA and stroke risk in different populations, and the interaction test indicated no significant interactions between these variables and TPA. Our findings suggested that appropriate participation in physical activity is effective in preventing stroke in middle-aged and older adults. Both MPA and high-frequency or long-duration VPA were significantly associated with lower stroke risk, and keeping TPA at a high level was significantly associated with lower stroke risk.
中风是发展中国家主要的死因之一，中国承担着全球最大的中风负担。本研究旨在利用一个具有全国代表性的数据库，调查身体活动水平的不同维度与中风风险之间的关系。我们使用了中国健康与养老追踪调查（CHARLS）2020年的数据进行横断面分析。采用二元逻辑回归模型分析中国中老年人身体活动水平的不同维度（强度、频率、持续时间和总身体活动量（TPA））与中风风险之间的关联。根据参与者的年龄、性别、居住地、高血压、血脂异常和糖尿病分层进行亚组分析。结果显示，在调整所有协变量后，几乎所有中等强度身体活动（MPA）的频率和持续时间，以及高频和长时间的剧烈身体活动（VPA）都与较低的中风风险相关。未观察到轻度身体活动（LPA）与中风风险之间存在显著关系。TPA被分为四分位数（Q1、Q2、Q3、Q4）。与第一四分位数相比，第三和第四四分位数与较低的中风风险显著相关，风险分别降低35%（OR 0.65，95%CI 0.50 - 0.84）和42%（OR 0.58，95%CI 0.44 - 0.76）。亚组分析揭示了不同人群中TPA与中风风险之间关联的差异，交互作用检验表明这些变量与TPA之间无显著交互作用。我们的研究结果表明，适当参与体育活动对预防中老年人中风有效。MPA以及高频或长时间的VPA均与较低的中风风险显著相关，保持较高水平的TPA与较低的中风风险显著相关。
