4.2 Article

Opportunities and challenges in reducing personal inhalation exposure to air pollution among electronic waste recovery workers in Ghana

期刊

AMERICAN JOURNAL OF INDUSTRIAL MEDICINE
卷 64, 期 5, 页码 381-397

出版社

WILEY
DOI: 10.1002/ajim.23229

关键词

air pollution; electronic waste; Ghana; informal sector; particulate matter; personal inhalation

资金

  1. Rackham Predoctoral Fellowship
  2. National Institute of Occupational Safety and Health [T42 OH008455]
  3. Dow Chemical Company Foundation through the Dow Sustainability Fellows Program at the University of Michigan
  4. 1/2 West AfricaMichigan CHARTER in GEOHealth
  5. United States National Institutes of Health/Fogarty International Center (US NIH/FIC) [1U2RTW010110-01/5U01TW010101]
  6. Canada's International Development Research Center (IDRC) [108121-001]
  7. National Institute for Environmental Health Sciences [P30 ES017885, R01ES016932, R01ES017022]

向作者/读者索取更多资源

The study aimed to identify high-risk worker groups by measuring personal inhalation exposure to particulate matter (PM) among e-waste workers, with a focus on the impact of wind conditions on PM levels during different activities. Results showed that burning e-waste resulted in significantly higher PM concentrations, with transportation-related and burning activities associated with the highest PM concentrations. Changes in wind direction were linked to increased PM levels during burning activities, while high wind speeds were associated with higher PM concentrations during e-waste dismantling downwind of the burning zone.
Background Informal sector electronic waste (e-waste) recovery produces toxic emissions resulting from burning e-waste to recover valuable metals. Objectives To identify high-risk worker groups by measuring relative levels of personal inhalation exposure to particulate matter (PM) of fine (<= 2.5 mu m) and coarse (2.5-10 mu m) fractions (PM2.5 and PM2.5-10, respectively) across work activities among e-waste workers, and to assess how wind conditions modify levels of PM by activity and site location. Methods At the Agbogbloshie e-waste site, 170 partial-shift PM samples and time-activity data were collected from participants (N = 105) enrolled in the GeoHealth cohort study. Personal sampling included continuous measures of size-specific PM from the worker's breathing zone and time-activity derived from wearable cameras. Linear mixed models were used to estimate changes in personal PM2.5 and PM2.5-10 associated with activities and evaluate effect modification by wind conditions. Results Mean (+/- standard deviation) personal PM2.5 and PM2.5-10 concentrations were 80 (+/- 81) and 123 (+/- 139) mu g m(-3), respectively. The adjusted mean PM2.5 concentration for burning e-waste was 88 mu g m(-3), a 28% increase above concentrations during non-recovery activities (such as eating). Transportation-related and burning activities were associated with the highest PM2.5-10 concentrations. Frequent changes in wind direction were associated with higher PM2.5 concentrations when burning, and high wind speeds with higher PM2.5-10 concentrations when dismantling e-waste downwind of the burning zone.

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