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The relative contribution of PM2.5 components to the obstructive ventilatory dysfunction-insights from a large ventilatory function examination of 305,022 workers in southern China.
Li, Zhiqiang; Wang, Ying; Wu, Wenjing; Zhao, Yanjie; Wang, Shenghao; Wang, Pengyu; Lin, Xian; Gong, Yajun; Wu, Zhijia; Li, Xinyue; Sun, Jie; Zhao, Na; Huang, Yongshun; Hu, Shijie; Zhang, Wangjian.
Afiliação
  • Li Z; Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China; Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 51008
  • Wang Y; Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
  • Wu W; Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
  • Zhao Y; Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
  • Wang S; Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
  • Wang P; Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
  • Lin X; Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
  • Gong Y; Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China.
  • Wu Z; Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China.
  • Li X; Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China; Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 51008
  • Sun J; Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China.
  • Zhao N; Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China.
  • Huang Y; Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China. Electronic address: gdpcc2006@126.com.
  • Hu S; Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou 510300, Guangdong, China. Electronic address: hushijie@163.com.
  • Zhang W; Department of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou 510080, Guangdong, China. Electronic address: zhangwj227@mail.sysu.edu.cn.
Environ Int ; 187: 108721, 2024 May.
Article em En | MEDLINE | ID: mdl-38718675
ABSTRACT

BACKGROUND:

The new round of WHO/ILO Joint Estimates of the Work-related Burden of Disease assessment requires futher research to provide more evidence, especially on the health impact of ambient air pollution around the workplace. However, the evidence linking obstructive ventilatory dysfunction (OVD) to fine particulate matter (PM2.5) and its chemical components in workers is very limited. Evidence is even more scarce on the interactive effects between occupational factors and particle exposures. We aimed to fill these gaps based on a large ventilatory function examination of workers in southern China.

METHODS:

We conducted a cross-sectional study among 363,788 workers in southern China in 2020. The annual average concentration of PM2.5 and its components were evaluated around the workplace through validated spatiotemporal models. We used mixed-effect models to evaluate the risk of OVD related to PM2.5 and its components. Results were further stratified by basic characteristics and occupational factors.

FINDINGS:

Among the 305,022 workers, 119,936 were observed with OVD. We found for each interquartile range (IQR) increase in PM2.5 concentration, the risk of OVD increased by 27.8 (95 % confidence interval (CI) 26.5-29.2 %). The estimates were 10.9 % (95 %CI 9.7-12.1 %), 15.8 % (95 %CI 14.5-17.2 %), 2.6 % (95 %CI 1.4-3.8 %), 17.1 % (95 %CI 15.9-18.4 %), and 11 % (95 %CI 9.9-12.2 %), respectively, for each IQR increment in sulfate, nitrate, ammonium salt, organic matter and black carbon. We observed greater effect estimates among females, younger workers, workers with a length of service of 24-45 months, and professional skill workers. Furthermore, it is particularly noteworthy that the noise-exposed workers, high-temperature-exposed workers, and less-dust-exposed workers were at a 5.7-68.2 % greater risk than others.

INTERPRETATION:

PM2.5 and its components were significantly associated with an increased risk of OVD, with stronger links among certain vulnerable subgroups.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Exposição Ocupacional / Material Particulado Limite: Adult / Female / Humans / Male / Middle aged País como assunto: Asia Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Exposição Ocupacional / Material Particulado Limite: Adult / Female / Humans / Male / Middle aged País como assunto: Asia Idioma: En Ano de publicação: 2024 Tipo de documento: Article