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Long-term air pollution exposure and self-reported morbidity - A longitudinal analysis from the Thai cohort study (TCS)2.84 MB
Published VersionCC BY V4.0, Open Access
Journal article
Long-term air pollution exposure and self-reported morbidity: A longitudinal analysis from the Thai cohort study (TCS)
Environmental Research, Vol.192, pp.1-10
2021
PMID: 33068582
Abstract
Background: Several studies have shown the health effects of air pollutants, especially in China, North American and Western European countries. But longitudinal cohort studies focused on health effects of long-term air pollution exposure are still limited in Southeast Asian countries where sources of air pollution, weather conditions, and demographic characteristics are different. The present study examined the association between long-term exposure to air pollution and self-reported morbidities in participants of the Thai cohort study (TCS) in Bangkok metropolitan region (BMR), Thailand. Methods: This longitudinal cohort study was conducted for 9 years from 2005 to 2013. Self-reported morbidities in this study included high blood pressure, high blood cholesterol, and diabetes. Air pollution data were obtained from the Thai government Pollution Control Department (PCD). Particles with diameters ≤10 μm (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), ozone (O3), and carbon monoxide (CO) exposures were estimated with ordinary kriging method using 22 background and 7 traffic monitoring stations in BMR during 2005–2013. Long-term exposure periods to air pollution for each subject was averaged as the same period of person-time. Cox proportional hazards models were used to examine the association between long-term air pollution exposure with self-reported high blood pressure, high blood cholesterol, diabetes. Results of self-reported morbidity were presented as hazard ratios (HRs) per interquartile range (IQR) increase in PM10, O3, NO2, SO2, and CO.
Results: After controlling for potential confounders, we found that an IQR increase in PM10 was significantly associated with self-reported high blood pressure (HR = 1.13, 95% CI: 1.04, 1.23) and high blood cholesterol (HR = 1.07, 95%CI: 1.02, 1.12), but not with diabetes (HR = 1.05, 95%CI: 0.91, 1.21). SO2 was also positively associated with self-reported high blood pressure (HR = 1.22, 95%CI: 1.08, 1.38), high blood cholesterol (HR = 1.20, 95%CI: 1.11, 1.30), and diabetes (HR = 1.21, 95%CI: 0.92, 1.60). Moreover, we observed a positive association between CO and self-reported high blood pressure (HR = 1.07, 95%CI: 1.00, 1.15), but not for other diseases. However, self-reported morbidities were not associated with O3 and NO2. Conclusions: Long-term exposure to air pollution, especially for PM10 and SO2 was associated with self-reported high blood pressure, high blood cholesterol, and diabetes in subjects of TCS. Our study supports that exposure to air pollution increases cardiovascular disease risk factors for younger population.
Details
- Title
- Long-term air pollution exposure and self-reported morbidity: A longitudinal analysis from the Thai cohort study (TCS)
- Authors
- Kanawat Paoin (Author) - Kyoto UniversityKayo Ueda (Author) - Kyoto UniversityThammasin Ingviya (Author) - Prince of Songkla UniversitySuhaimee Buya (Author) - Prince of Songkla UniversityArthit Phosri (Author) - Mahidol UniversityXerxes Tesoro Seposo (Author) - Nagasaki UniversitySam-Ang Seubsman (Author) - Sukhothai Thammathirat Open UniversityMatthew Kelly (Author) - Australian National UniversityAdrian Sleigh (Author) - Australian National UniversityAkiko Honda (Author) - Kyoto UniversityHirohisa Takano (Author) - Kyoto UniversityThai Cohort Study Team Australia (Research Group)Roderick McClure (Group Member)
- Publication details
- Environmental Research, Vol.192, pp.1-10
- Publisher
- Academic Press
- Date published
- 2021
- DOI
- 10.1016/j.envres.2020.110330
- ISSN
- 1096-0953; 0013-9351
- PMID
- 33068582
- Copyright note
- © 2020 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
- Organisation Unit
- Centre for Human Factors and Systems Science; University of the Sunshine Coast, Queensland
- Language
- English
- Record Identifier
- 99651250002621
- Output Type
- Journal article
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