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Long-Term Exposure to Particulate Matter and All-Cause and Cause-Specific Mortality in an Analysis of Multiple Asian Cohorts Publisher Pubmed



Downward GS1, 2 ; Hystad P3 ; Tasmin S4 ; Abe SK5 ; Saito E6 ; Rahman MS5, 7 ; Islam MR5, 8 ; Gupta PC9 ; Sawada N10 ; Malekzadeh R11 ; You SL12 ; Ahsan H4 ; Park SK13 ; Pednekar MS9 Show All Authors
Authors
  1. Downward GS1, 2
  2. Hystad P3
  3. Tasmin S4
  4. Abe SK5
  5. Saito E6
  6. Rahman MS5, 7
  7. Islam MR5, 8
  8. Gupta PC9
  9. Sawada N10
  10. Malekzadeh R11
  11. You SL12
  12. Ahsan H4
  13. Park SK13
  14. Pednekar MS9
  15. Tsugane S10, 14
  16. Etemadi A15
  17. Chen CJ16
  18. Shin A13, 17
  19. Chen Y18
  20. Boffetta P19, 20, 21
  21. Chia KS22
  22. Matsuo K23, 24
  23. Qiao YL25
  24. Rothman N26
  25. Zheng W27
  26. Inoue M5
  27. Kang D28
  28. Lan Q26
  29. Vermeulen RCH1, 2

Source: Environment International Published:2024


Abstract

Background: Exposure to ambient air pollution is associated with a significant number of deaths. Much of the evidence associating air pollution with adverse effects is from North American and Europe, partially due to incomplete data in other regions limiting location specific examinations. The aim of the current paper is to leverage satellite derived air quality data to examine the relationship between ambient particulate matter and all-cause and cause-specific mortality in Asia. Methods: Six cohorts from the Asia Cohort Consortium provided residential information for participants, recruited between 1991 and 2008, across six countries (Bangladesh, India, Iran, Japan, South Korea, and Taiwan). Ambient particulate material (PM2·5) levels for the year of enrolment (or 1998 if enrolled earlier) were assigned utilizing satellite and sensor-based maps. Cox proportional models were used to examine the association between ambient air pollution and all-cause and cause-specific mortality (all cancer, lung cancer, cardiovascular and lung disease). Models were additionally adjusted for urbanicity (representing urban and built characteristics) and stratified by smoking status in secondary analyses. Country-specific findings were pooled via random-effects meta-analysis. Findings: More than 300,000 participants across six cohorts were included, representing more than 4-million-person years. A positive relationship was observed between a 5 µg/m (Dockery et al., 1993) increase in PM2·5 and cardiovascular mortality (HR: 1·06, 95 % CI: 0.99, 1·13). The additional adjustment for urbanicity resulted in increased associations between PM2.5 and mortality outcomes, including all-cause mortality (1·04, 95 % CI: 0·97, 1·11). Results were generally similar regardless of whether one was a current, never, or ex-smoker. Interpretation: Using satellite and remote sensing technology we showed that associations between PM2.5 and all-cause and cause-specific Hazard Ratios estimated are similar to those reported for U.S. and European cohorts. Funding: This project was supported by the Health Effects Institute. Grant number #4963-RFA/18–5. Specific funding support for individual cohorts is described in the Acknowledgements. © 2024 The Authors
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