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Association between City-Level Particulate Matter Exposure and Frailty among Middle-Aged and Older Adults in China.
Wu, Di; Guo, Zhen; Xue, Hui; Fan, Lijun; Liao, Yilan; Nyame, Linda; Cui, Mengjing; Tian, Yong; Ruan, Zengliang; Du, Wei.
Afiliação
  • Wu D; School of Public Health, Southeast University, Nanjing, China.
  • Guo Z; School of Public Health, Southeast University, Nanjing, China.
  • Xue H; School of Public Health, Southeast University, Nanjing, China, 230239107@seu.edu.cn.
  • Fan L; School of Public Health, Southeast University, Nanjing, China.
  • Liao Y; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
  • Nyame L; School of Public Health, Southeast University, Nanjing, China.
  • Cui M; School of Public Health, Southeast University, Nanjing, China.
  • Tian Y; School of Law and Politics, Nanjing University of Information Science and Technology, Nanjing, China.
  • Ruan Z; Common Prosperity Research Institute, Nanjing University of Information Science and Technology, Nanjing, China.
  • Du W; School of Public Health, Southeast University, Nanjing, China.
Gerontology ; : 1-14, 2024 Sep 06.
Article em En | MEDLINE | ID: mdl-39245032
ABSTRACT

INTRODUCTION:

The effects of exposure to particulate matter and frailty, as well as its exposure-response relationship, have not been effectively explored. This study aimed to explore the association between long-term exposure to particulate matter and frailty state and each dimension in Chinese middle-aged and older adults, in addition to the exposure-response relationship.

METHODS:

The data were obtained from the National Urban Air Quality Real-Time Dissemination Platform and China Health and Retirement Longitudinal Study (CHARLS). Frailty was measured by a frailty index containing 39 indicators. Annual averages of seven pollutants were calculated from hourly monitoring data. We used multilevel regression modeling to explore the association between long-term exposure to particulate matter and frailty. Meanwhile, we explored the exposure-response relationship based on a multilevel generalized summation model. We performed a sensitivity analysis using a multi-pollution model and a quantile-based g-computation (QGC) model.

RESULTS:

A total of 15,611 participants were included in the analysis. We find that long-term exposure to PM2.5 was associated with an increased risk of pre-frailty and frailty (all p < 0.05). PMc and PM10 exhibited similar associations. The exposure-response relationship between PM2.5 showed a linear relationship, whereas the exposure-response relationship between PM10, PMc showed a nonlinear relationship. Elevated PM2.5 concentrations showed significant positive associations with the number of chronic disease score, IADL score, and functional limitation status score (all p < 0.05). PM10 and PMc showed similar positive correlations. These results remained robust after sensitivity analyses using a multi-pollution model and QGC model.

CONCLUSION:

Chronic exposure to particulate matter was significantly associated with increased risk of frailty. The exposure-response relationship between PM2.5 concentration and frailty showed a linear relationship, and the exposure-response relationship between PM10 and PMc showed a nonlinear relationship. Exposure to a mixture of pollutants carried a higher risk of frailty than exposure to a single pollutant.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Gerontology Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Gerontology Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China