Zhao Jie, Ke Zezhi, Huang Rihua, Wen Xiuyun, Liu Wenbin, Wang Suisui, Zhang Xu, Zhuang Xiaodong, Pan Litao, Liao Lizhen
College of Health Science, Guangdong Pharmaceutical University, Guangzhou, Guangdong, P.R. China.
Guangdong Provincial Key Laboratory of Pharmaceutical Bioactive Substances, Guangdong Pharmaceutical University, Guangzhou, 510006, P. R. China.
Eur Rev Aging Phys Act. 2024 Sep 18;21(1):24. doi: 10.1186/s11556-024-00359-2.
We aimed to characterize the associations between physical activity levels and the risk of developing age-related diseases in the Coronary Artery Risk Development in Young Adults (CARDIA) study and used Mendelian randomization (MR) to assess whether there are causal relationships between physical activity levels and the risk of developing 8 age-related diseases (coronary atherosclerosis, ischemic heart disease, angina, Alzheimer's disease, hypertension, type 2 diabetes, hyperlipidemia, and venous thromboembolism).
Based on the data available in the CARDIA, we obtained data related to five disease states: coronary heart disease, hypertension, diabetes, hyperlipidemia, and venous thromboembolism. Binary logistic regression analysis estimated the multivariable-adjusted associations between different physical activity statuses and diseases. For the MR study, we used summary-level data from a recently published genome-wide association study on physical activity (including vigorous physical activity and accelerometer-based physical activity) conducted with participants from the UK Biobank study. We selected the above 8 age-related diseases as our outcomes.
In the CARDIA-based analysis, the risk of developing coronary heart disease [OR (95% CI): 0.562 (0.397-0.795)], hypertension [OR (95% CI): 0.703 (0.601-0.821)], diabetes [OR (95% CI): 0.783 (0.620-0.988)], and hyperlipidemia [OR (95% CI): 0.792 (0.662-0.949)] was negatively related to physical activity status when participants achieved the physical activity target. Our MR results support a negative causal association between genetically determined vigorous physical activity levels and the risk of developing 3 age-related diseases, namely, angina, hypertension and type 2 diabetes. Moreover, our results also support a negative causal association between genetically determined accelerometer-based physical activity levels and the risk of developing angina.
Promotion of physical activity is likely to prevent specific age-related diseases.
在青年成年人冠状动脉风险发展研究（CARDIA）中，我们旨在描述身体活动水平与患年龄相关疾病风险之间的关联，并使用孟德尔随机化（MR）来评估身体活动水平与患8种年龄相关疾病（冠状动脉粥样硬化、缺血性心脏病、心绞痛、阿尔茨海默病、高血压、2型糖尿病、高脂血症和静脉血栓栓塞症）风险之间是否存在因果关系。
基于CARDIA中可用的数据，我们获取了与五种疾病状态相关的数据：冠心病、高血压、糖尿病、高脂血症和静脉血栓栓塞症。二元逻辑回归分析估计了不同身体活动状态与疾病之间的多变量调整关联。对于MR研究，我们使用了最近发表的一项关于身体活动（包括剧烈身体活动和基于加速度计的身体活动）的全基因组关联研究的汇总水平数据，该研究是对英国生物银行研究的参与者进行的。我们选择上述8种年龄相关疾病作为我们的研究结果。
在基于CARDIA的分析中，当参与者达到身体活动目标时，患冠心病[比值比（95%置信区间）：0.562（0.397 - 0.795）]、高血压[比值比（95%置信区间）：0.703（0.601 - 0.821）]、糖尿病[比值比（95%置信区间）：0.783（0.620 - 0.988）]和高脂血症[比值比（95%置信区间）：0.792（0.662 - 0.949）]的风险与身体活动状态呈负相关。我们的MR结果支持基因决定的剧烈身体活动水平与患3种年龄相关疾病（即心绞痛、高血压和2型糖尿病）风险之间存在负因果关联。此外，我们的结果还支持基因决定的基于加速度计的身体活动水平与患心绞痛风险之间存在负因果关联。
促进身体活动可能预防特定的年龄相关疾病。
