| Literature DB >> 29446019 |
Haiyan Chu1,2, Junyi Xin1,2, Qi Yuan1, Xu Zhang2, Wang Pan2, Xinying Zeng2, Yaoyao Chen1, Gaoxiang Ma1, Yuqiu Ge1, Mulong Du1, Na Tong1, Xiaobo Li3, Zhengdong Zhang4,5, Meilin Wang6,7.
Abstract
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.Entities:
Keywords: Blood pressure; Elderly population; Lung function; PM2.5; Pulse; Repeated-measure; Vulnerable PM2.5-exposure individuals
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Year: 2018 PMID: 29446019 DOI: 10.1007/s11356-018-1412-9
Source DB: PubMed Journal: Environ Sci Pollut Res Int ISSN: 0944-1344 Impact factor: 4.223