Physical activity variability with the risk of type 2 diabetes: findings from a National Prospective Cohort Study.

Endokrynologia Polska Pub Date : 2025-01-01 Epub Date: 2025-07-29 DOI:10.5603/ep.103751
Zehua Wang, Aiping Zhao, Chenxing Ma, Zhen Zhang, Yazhong Zhang
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Abstract

Introduction: The objective was to investigate the association between physical activity variability (PAVar) and the risk of type 2 diabetes mellitus (T2DM) among middle-aged and older adults.

Material and methods: This longitudinal cohort study utilized data from the China Health and Retirement Longitudinal Study (CHARLS), following participants from 2011 to 2020. A total of 3970 individuals with sufficient physical activity (PA) data were categorized into quartiles based on the coefficient of variation (CV) for PAVar. The incidence of T2DM was assessed using Cox proportional hazards models adjusted for demographic, socioeconomic, and lifestyle factors. Mediation analysis was performed to evaluate whether sleep duration influenced the relationship between PAVar and T2DM risk. Sensitivity analyses excluded individuals with missing baseline data to ensure the reliability of the findings.

Results: Higher PAVar was associated with an elevated risk of T2DM. In fully adjusted models, participants in the highest CV quartile had a 70% greater risk of developing T2DM [hazard ratio (HR): 1.70, 95% confidence interval (CI): 1.54-1.88] compared to those in the lowest quartile. Mediation analysis showed that sleep duration accounted for 18.5% of the total effect of PAVar on T2DM risk. Sensitivity analyses confirmed the robustness of these findings.

Conclusions: This study demonstrates the harmful effects of high PAVar on T2DM risk and underscores the need to promote consistent physical activity patterns and adequate sleep to prevent diabetes, particularly in aging populations.

体育活动变化与2型糖尿病风险的关系:一项国家前瞻性队列研究的结果
前言:目的是研究中老年人身体活动变异性(PAVar)与2型糖尿病(T2DM)风险之间的关系。材料和方法:本纵向队列研究使用了中国健康与退休纵向研究(CHARLS)的数据,随访时间为2011年至2020年。根据PAVar变异系数(CV)将3970名体力活动(PA)数据充足的个体分为四分位数。采用Cox比例风险模型对人口统计学、社会经济和生活方式因素进行调整,评估T2DM的发病率。通过中介分析评估睡眠时间是否影响PAVar与T2DM风险之间的关系。敏感性分析排除了缺少基线数据的个体,以确保结果的可靠性。结果:较高的PAVar与T2DM风险升高相关。在完全调整后的模型中,与最低四分位数的参与者相比,CV最高四分位数的参与者患T2DM的风险高出70%[风险比(HR): 1.70, 95%可信区间(CI): 1.54-1.88]。中介分析显示,睡眠时间占PAVar对T2DM风险总影响的18.5%。敏感性分析证实了这些发现的稳健性。结论:本研究证明了高水平的PAVar对2型糖尿病风险的有害影响,并强调了促进持续的体育活动模式和充足的睡眠以预防糖尿病的必要性,特别是在老龄化人群中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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