Evaluation of vulnerable PM2.5-exposure individuals: a repeated-measure study in an elderly population
2018
Chu, Haiyan | Xin, Junyi | Yuan, Qi | Zhang, Xu | Pan, Wang | Zeng, Xinying | Chen, Yaoyao | Ma, Gaoxiang | Ge, Yuqiu | Du, Mulong | Tong, Na | Li, Xiaobo | Zhang, Zhengdong | Wang, Meilin
Numerous studies have shown that elderly people are susceptible to high-level particles with aerodynamic diameter ≤ 2.5 μm (PM₂.₅) exposure. However, not all elderly people exposed to PM₂.₅ suffer from diseases. In this study, we aim to establish a method to predict the vulnerable PM₂.₅-exposure individuals among elderly population. Fourteen elderly people were recruited from May 8 to July 4, 2016, in Nanjing, China. Ten physiological indicators were repeatedly measured for 15 times. Liner mixed-effects model, principal component analysis (PCA), and PM₂.₅ lag score were used to estimate the effects of PM₂.₅ on blood pressure, pulse, and lung function. As a result, each quartile increase of ambient PM₂.₅ was significantly associated with increased pulse (P < 0.05 for lag0, 1, 4, 0–1, 0–2, 0–3, and 0–5 days), decreased blood pressure (P < 0.05 for lag4 and 0–3 days), and decreased lung function (P < 0.05 for lag0, 1, 0–1, and 0–2 days) among the 14 elderly people. In terms of pulse or lung function, three elderly people were considered as vulnerable PM₂.₅-exposure individuals. No vulnerable individual was found for blood pressure. Blood pressure, pulse, and lung function could be affected by high-level PM₂.₅ exposure in elderly people. This method for screening three elderly people may provide a new insight on identifying the vulnerable PM₂.₅-exposure individuals.
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