Wen Yanchao, Zhu Guiming, Cao Kexin, Liang Jie, Lu Xiangfeng, Wang Tong
Department of Health Statistics, School of Public Health, Shanxi Medical University, 56 XinJian South Road Street, Taiyuan, Shanxi, China.
Key Laboratory of Coal Environmental Pathogenicity and Prevention (Shanxi Medical University), Ministry of Education, Taiyuan, Shanxi, China.
BMC Public Health. 2024 Dec 30;24(1):3612. doi: 10.1186/s12889-024-21121-4.
The accelerated aging process worldwide is placing a heavy burden on countries. PM particulate matter exposure is a significant factor affecting human health and is crucial in the aging process.
We utilized data from China Health and Retirement Longitudinal Study (CHARLS) and the Survey of Health, Aging, and Retirement in Europe (SHARE) to study the relationship between PM exposure and the frailty index. Acquire PM exposure data for China and Europe, match them according to geographic location within the database. Our study used frailty index to evaluate frailty, which comprises 29 items. We examined the association between PM and frailty index using fixed-effects regression models and Mendelian randomization (MR) analysis.
We first examined the association between PM and frailty index using fixed-effects regression models, revealing a notable positive link across populations in China (coefficient = 0.0003, P = 0.0380) and Europe (Coefficient = 0.0019, P < 0.0001). This suggests that PM exposure is a significant risk factor for frailty, leading to accelerated frailty. Moreover, our MR analysis uncovered a possible causal association (OR = 1.2933, 95%CI: 1.2045-1.3820, P < 0.0001) between PM exposure and the frailty index.
Our findings indicate that long-term exposure to PM in the environment is a risk factor for physical frailty and may have a potential causal relationship. Given the rapid global aging trend, public health measures are needed to reduce PM concentrations and prevent frailty.
全球加速老化进程给各国带来了沉重负担。接触细颗粒物(PM)是影响人类健康的一个重要因素,在老化过程中至关重要。
我们利用中国健康与养老追踪调查(CHARLS)以及欧洲健康老龄化与退休调查(SHARE)的数据,研究接触PM与衰弱指数之间的关系。获取中国和欧洲的PM暴露数据,并在数据库中根据地理位置进行匹配。我们的研究使用衰弱指数来评估衰弱状况,该指数包含29个项目。我们使用固定效应回归模型和孟德尔随机化(MR)分析来检验PM与衰弱指数之间的关联。
我们首先使用固定效应回归模型检验了PM与衰弱指数之间的关联,结果显示在中国人群(系数 = 0.0003,P = 0.0380)和欧洲人群(系数 = 0.0019,P < 0.0001)中均存在显著的正相关关系。这表明接触PM是衰弱的一个重要风险因素,会导致衰弱加速。此外,我们的MR分析发现接触PM与衰弱指数之间可能存在因果关联(OR = 1.2933,95%CI:1.2045 - 1.3820,P < 0.0001)。
我们的研究结果表明,长期暴露于环境中的PM是身体衰弱的一个风险因素,且可能存在潜在的因果关系。鉴于全球快速老龄化趋势,需要采取公共卫生措施来降低PM浓度并预防衰弱。