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Characteristics of Cohort Studies of Long-Term Exposure to Pm2.5: A Systematic Review Publisher Pubmed



Nabizadeh R1, 2 ; Yousefian F1 ; Moghadam VK3 ; Hadei M1, 4
Authors
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Authors Affiliations
  1. 1. Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Department of Environmental Health Engineering, Neyshabur University of Medical Sciences, Neyshabur, Iran
  4. 4. Students’ Scientific Research Center (SSRC), Tehran University of Medical Sciences, Tehran, Iran

Source: Environmental Science and Pollution Research Published:2019


Abstract

This study systematically reviewed all the cohort studies investigating the relationship between long-term exposure to PM2.5 and any health outcome until February 2018. We searched ISI Web of Knowledge, Pubmed, and Scopus databases for peer-reviewed journal research articles published in English. We only extracted the results of the single-pollutant main analysis of each study, excluding the effect modifications and sensitivity analyses. Out of the initial 9523 articles, 203 articles were ultimately included for analysis. Based on the different characteristics of studies such as study design, outcome, exposure assessment method, and statistical model, we calculated the number and relative frequency of analyses with statistically significant and insignificant results. Most of the studies were prospective (84.8%), assessed both genders (66.5%), and focused on a specific age range (86.8%). Most of the articles (78.1%) had used modeling techniques for exposure assessment of cohorts’ participants. Among the total of 317 health outcomes, the most investigated outcomes include mortality due to cardiovascular disease (6.19%), all causes (5.48%), lung cancer (4.00%), ischemic heart disease (3.50%), and non-accidental causes (3.50%). The percentage of analyses with statistically significant results were higher among studies that used prospective design, mortality as the outcome, fixed stations as exposure assessment method, hazard ratio as risk measure, and no covariate adjustment. We can somehow conclude that the choice of right characteristics for cohort studies can make a difference in their results. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.
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