4.6 Review

Evidence on Vulnerability and Susceptibility to Health Risks Associated With Short-Term Exposure to Particulate Matter: A Systematic Review and Meta-Analysis

期刊

AMERICAN JOURNAL OF EPIDEMIOLOGY
卷 178, 期 6, 页码 865-876

出版社

OXFORD UNIV PRESS INC
DOI: 10.1093/aje/kwt090

关键词

age; effect modifiers; hospital admissions; mortality; particulate matter; PM10; PM2.5; socioeconomic status

资金

  1. National Institutes of Health [R01ES019560, R01ES019587, R01ES 019955, R01ES016317, R21ES020152, R21ES021427]
  2. US Environmental Protection Agency [RD 8347 9801, RD 83490001, R834894]
  3. Health Effects Institute [HEI 4909]
  4. EPA [150217, R834894] Funding Source: Federal RePORTER

向作者/读者索取更多资源

Although there is strong evidence that short-term exposure to particulate matter is associated with health risks, less is known about whether some subpopulations face higher risks. We identified 108 papers published after 1995 and summarized the scientific evidence regarding effect modification of associations between short-term exposure to particulate matter and the risk of death or hospitalization. We performed a meta-analysis of estimated mortality associations by age and sex. We found strong, consistent evidence that the elderly experience higher risk of particular matter-associated hospitalization and death, weak evidence that women have higher risks of hospitalization and death, and suggestive evidence that those with lower education, income, or employment status have higher risk of death. Meta-analysis showed a statistically higher risk of death of 0.64% (95% confidence interval (CI): 0.50, 0.78) for older populations compared with 0.34% (95% CI: 0.25, 0.42) for younger populations per 10 mu g/m(3) increase of particulate matter with aerodynamic diameter <= 10 mu m. Women had a slightly higher risk of death of 0.55% (95% CI: 0.41, 0.70) compared with 0.50% (95% CI: 0.34, 0.54) for men, but these 2 risks were not statistically different. Our synthesis on modifiers for risks associated with particulate matter can aid the design of air quality policies and suggest directions for future research. Studies of biological mechanisms could be informed by evidence of differential risks by population, such as by sex and preexisting conditions.

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