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Causal effect of PM1 on morbidity of cause-specific respiratory diseases based on a negative control exposure.
Lv, Shiyun; Liu, Xiangtong; Li, Zhiwei; Lu, Feng; Guo, Moning; Liu, Mengmeng; Wei, Jing; Wu, Zhiyuan; Yu, Siqi; Li, Shihong; Li, Xia; Gao, Wenkang; Tao, Lixin; Wang, Wei; Xin, Jinyuan; Guo, Xiuhua.
Afiliação
  • Lv S; Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China.
  • Liu X; Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China.
  • Li Z; Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China.
  • Lu F; Beijing Municipal Health Commission Information Center, Beijing, 100034, China.
  • Guo M; Beijing Municipal Health Commission Information Center, Beijing, 100034, China.
  • Liu M; Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China; National Institute for Data Science in Health and Medicine, Capital Medical University, Beijing, C
  • Wei J; Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USA.
  • Wu Z; Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China.
  • Yu S; Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China.
  • Li S; Department of Respiratory, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
  • Li X; Department of Mathematics and Statistics, La Trobe University, Melbourne, 3086, Australia.
  • Gao W; State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.
  • Tao L; Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China.
  • Wang W; School of Medical Sciences and Health, Edith Cowan University, WA6027, Perth, Australia.
  • Xin J; State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China. Electronic address: xjy@mail.iap.ac.cn.
  • Guo X; Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China; National Institute for Data Science in Health and Medicine, Capital Medical University, Beijing, C
Environ Res ; 216(Pt 4): 114746, 2023 01 01.
Article em En | MEDLINE | ID: mdl-36347395
ABSTRACT

BACKGROUND:

Extensive studies have linked PM2.5 and PM10 with respiratory diseases (RD). However, few is known about causal association between PM1 and morbidity of RD. We aimed to assess the causal effects of PM1 on cause-specific RD.

METHODS:

Hospital admission data were obtained for RD during 2014 and 2019 in Beijing, China. Negative control exposure and extreme gradient boosting with SHapley Additive exPlanation was used to explore the causality and contribution between PM1 and RD. Stratified analysis by gender, age, and season was conducted.

RESULTS:

A total of 1,183,591 admissions for RD were recorded. Per interquartile range (28 µg/m3) uptick in concentration of PM1 corresponded to a 3.08% [95% confidence interval (CI) 1.66%-4.52%] increment in morbidity of total RD. And that was 4.47% (95% CI 2.46%-6.52%) and 0.15% (95% CI 1.44%-1.78%), for COPD and asthma, respectively. Significantly positive causal associations were observed for PM1 with total RD and COPD. Females and the elderly had higher effects on total RD, COPD, and asthma only in the warm months (Z = 3.03, P = 0.002; Z = 4.01, P < 0.001; Z = 3.92, P < 0.001; Z = 2.11, P = 0.035; Z = 2.44, P = 0.015). Contribution of PM1 ranked first, second and second for total RD, COPD, and asthma among air pollutants.

CONCLUSION:

PM1 was causally associated with increased morbidity of total RD and COPD, but not causally associated with asthma. Females and the elderly were more vulnerable to PM1-associated effects on RD.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Asma / Doença Pulmonar Obstrutiva Crônica / Poluentes Atmosféricos / Poluição do Ar Limite: Aged / Female / Humans / Male País/Região como assunto: Asia Idioma: En Revista: Environ Res Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Asma / Doença Pulmonar Obstrutiva Crônica / Poluentes Atmosféricos / Poluição do Ar Limite: Aged / Female / Humans / Male País/Região como assunto: Asia Idioma: En Revista: Environ Res Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China