文献类型：期刊文献

英文题名：A Longitudinal Analysis of the Association Between Long-Term Exposure to Air Pollution and Cognitive Function Among Adults Aged 45 and Older in China

作者：Hu, Kai[1,2];Hale, Jo Mhairi[2];Kulu, Hill[2];Liu, Yang[3];Keenan, Katherine[2]

机构：[1]East China Univ Sci & Technol, Dept Sociol, Shanghai 200237, Peoples R China;[2]Univ St Andrews, Sch Geog & Sustainable Dev, Populat & Hlth Res Grp, St Andrews, Fife, Scotland;[3]Emory Univ, Rollins Sch Publ Hlth, Gangarosa Dept Environm Hlth, Atlanta, GA USA

年份：2023

卷号：78

期号：3

起止页码：556

外文期刊名：JOURNALS OF GERONTOLOGY SERIES B-PSYCHOLOGICAL SCIENCES AND SOCIAL SCIENCES

收录：;WOS:【SSCI(收录号:WOS:000891974200001)，SCI-EXPANDED(收录号:WOS:000891974200001)】；

基金：This study is supported by China Scholarship Council (CSC), People's Republic of China, and Population and Health Research Group (PHRG), School of Geography and Sustainable Development, University of St Andrews, United Kingdom. PM2.5 data in this study is from the work of Y. Liu, supported by the National Institute of Environmental Health Sciences of the National Institutes of Health, USA (Grant No. 1R01ES032140). The content is solely the responsibility of the authors and does not necessarily represent the official views of the CSC, PHRG, or National Institutes of Health.

语种：英文

外文关键词：Air pollution; Cognitive function; Cumulative exposure; Health disparities; PM2 5

摘要：Objectives Evidence suggests long-term exposure to fine particulate matter air pollution (PM2.5) is associated with a higher risk of cognitive impairment, especially among older adults. This study examines the relationship between PM2.5 exposure and cognitive function in China's aging population. Methods We used longitudinal data from the China Health and Retirement Longitudinal Study (2011-2015) linked with historical PM2.5 concentrations (2000-2015) from remotely sensed satellite data. Growth curve models were applied to estimate associations between PM2.5 exposure (measured in intensity, duration, and a joint variable of intensity with duration for cumulative exposure) and cognitive function. Results Relative to the lowest exposure group, exposure in the second group of PM2.5 intensity (35-50 mu g/m(3)) is associated with poorer cognitive function, but higher levels of PM2.5 appear to be associated with better cognitive function, indicating a U-shaped association. Similar patterns are seen for fully adjusted models of PM2.5 duration: the second group (13-60 months) is associated with worse cognitive function than the first group (0-12 months), but coefficients are nonsignificant in longer duration groups. Joint analysis of PM2.5 intensity with duration suggests that duration may play a more detrimental role in cognitive function than intensity. However, we do not find a statistically significant association between PM2.5 exposure and the rate of cognitive decline. Discussion Our findings are mixed and suggest that some categories of higher and longer exposure to PM2.5 are associated with poorer cognitive function, while that exposures do not hasten cognitive decline. However, more work is necessary to disentangle PM2.5 exposure from individuals' background characteristics, particularly those jointly associated with cognitive function and urban living.