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身体活动与多种疾病并存之间的关联:一项基于人群的队列研究。

Association between physical activity and multimorbidity: a population-based cohort study.

作者信息

Mou Chuan, Wang Zhihua, Ke Zhifei

机构信息

Institute of Physical Education, Sichuan University, Chengdu, China.

Sichuan University, 24 South Section1, 1st Ring Road, Chengdu, 610065, China.

出版信息

Arch Public Health. 2025 Mar 18;83(1):71. doi: 10.1186/s13690-025-01562-y.

Abstract

BACKGROUND

Physical activity has been widely recognized for its important role in preventing cardiovascular and other chronic diseases. While population studies worldwide have established clear associations between physical activity and multimorbidity, these relationships in the Chinese population remain underexplored.

METHODS

This study utilized the China Health and Retirement Longitudinal Study (CHARLS) database to classify physical activity levels based on metabolic equivalents (MET). Physical activity was measured using self-reported questionnaires based on the International Physical Activity Questionnaire (IPAQ). The analysis focused on the relationship between low, moderate, and high physical activity levels and various chronic diseases, as well as the co-occurrence of multiple diseases. Multivariable logistic regression models were employed to assess the association between different activity levels and the risk of chronic diseases, while stratified analyses explored the impact of demographic factors on these associations. Additionally, a restricted cubic spline (RCS) model was applied to investigate potential nonlinear relationships between total MET and chronic disease risks.

RESULTS

The final cohort included 6,244 participants with a total of 19,498 observations across five waves (2011-2020). The results showed that compared to low activity levels, moderate and high levels of physical activity reduced the risk of cardiovascular diseases and respiratory diseases, with a nonlinear dose-response relationship. High levels of physical activity also significantly lowered the risk of multimorbidity, particularly the coexistence of five or more chronic diseases (OR = 0.58, 95% CI: 0.46, 0.74, P < 0.01). However, high levels of activity were linked to higher risks of arthritis and kidney diseases. Stratified analyses revealed that demographic factors influenced the association between physical activity and disease risk.

CONCLUSION

Moderate and high levels of physical activity provide significant protection against cardiovascular and respiratory diseases and effectively reduce the risk of multimorbidity. However, the increased risk of certain metabolic and joint diseases with higher activity levels warrants further attention. Future research should clarify the impact of physical activity on different populations and chronic diseases, with randomized controlled trials needed to verify causality.

摘要

背景

体育活动在预防心血管疾病和其他慢性病方面的重要作用已得到广泛认可。虽然全球范围内的人群研究已明确了体育活动与多种疾病共存之间的关联,但中国人群中的这些关系仍未得到充分探索。

方法

本研究利用中国健康与养老追踪调查(CHARLS)数据库,根据代谢当量(MET)对体育活动水平进行分类。体育活动通过基于国际体育活动问卷(IPAQ)的自我报告问卷进行测量。分析重点关注低、中、高体育活动水平与各种慢性病之间的关系,以及多种疾病的共存情况。采用多变量逻辑回归模型评估不同活动水平与慢性病风险之间的关联,同时进行分层分析以探讨人口统计学因素对这些关联的影响。此外,应用受限立方样条(RCS)模型研究总MET与慢性病风险之间的潜在非线性关系。

结果

最终队列包括6244名参与者,在五轮调查(2011 - 2020年)中共有19498条观测数据。结果表明,与低活动水平相比,中等和高体育活动水平降低了心血管疾病和呼吸系统疾病的风险,呈现非线性剂量反应关系。高体育活动水平还显著降低了多种疾病共存的风险,尤其是五种或更多慢性病同时存在的情况(OR = 0.58,95% CI:0.46,0.74,P < 0.01)。然而,高活动水平与关节炎和肾脏疾病的较高风险相关。分层分析表明,人口统计学因素影响体育活动与疾病风险之间的关联。

结论

中等和高体育活动水平可显著预防心血管疾病和呼吸系统疾病,并有效降低多种疾病共存的风险。然而,较高活动水平导致某些代谢和关节疾病风险增加值得进一步关注。未来研究应阐明体育活动对不同人群和慢性病的影响,需要进行随机对照试验以验证因果关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1567/11916932/b7f2d1daabc3/13690_2025_1562_Fig1_HTML.jpg

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