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Long-term air pollution exposure and self-reported morbidity: A longitudinal analysis from the Thai cohort study (TCS)

Authors :
Kanawat Paoin
Kayo Ueda
Thammasin Ingviya
Suhaimee Buya
Arthit Phosri
Xerxes Tesoro Seposo
Sam-ang Seubsman
Matthew Kelly
Adrian Sleigh
Akiko Honda
Hirohisa Takano
Jaruwan Chokhanapitak
Chaiyun Churewong
Suttanit Hounthasarn
Suwanee Khamman
Daoruang Pandee
Suttinan Pangsap
Tippawan Prapamontol
Janya Puengson
Wimalin Rimpeekool
Yodyiam Sangrattanakul
Boonchai Somboonsook
Nintita Sripaiboonkij
Pathumvadee Somsamai
Benjawan Tawatsupa
Arunrat Tangmunkongvorakul
Duangkae Vilainerun
Wanee Wimonwattanaphan
Chris Bain
Emily Banks
Cathy Banwell
Janneke Berecki-Gisolf
Bruce Caldwell
Gordon Carmichael
Tarie Dellora
Jane Dixon
Sharon Friel
David Harley
Susan Jordan
Tord Kjellstrom
Lynette Lim
Roderick McClure
Anthony McMichael
Tanya Mark
Lyndall Strazdins
Tam Tran
Vasoontara Yiengprugsawan
Jiaying Zhao
Source :
Environmental Research
Publication Year :
2020

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.<br />Highlights • Evidence on health effects of long-term air pollution exposure are still limited in Southeast Asia. • SO2 was associated with an increased risks of self-reported high blood pressure, high blood cholesterol, and diabetes. • Increase of PM10 was also associated with the incidences of high blood pressure and high blood cholesterol. • The effects were observed even at the level below the National Standard Limit. • This study suggests air pollution increases cardiovascular disease risk factors for younger population.

Details

ISSN :
10960953
Volume :
192
Database :
OpenAIRE
Journal :
Environmental research
Accession number :
edsair.doi.dedup.....b4f45f64eb3034ef4d226639c17d70d7