» Articles » PMID: 33068582

Long-term Air Pollution Exposure and Self-reported Morbidity: A Longitudinal Analysis from the Thai Cohort Study (TCS)

Overview
Journal Environ Res
Publisher Elsevier
Date 2020 Oct 17
PMID 33068582
Citations 7
Authors
Affiliations
Soon will be listed here.
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 (PM), sulfur dioxide (SO), nitrogen dioxide (NO), ozone (O), 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 PM, O, NO, SO, and CO.

Results: After controlling for potential confounders, we found that an IQR increase in PM 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). SO 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 O and NO.

Conclusions: Long-term exposure to air pollution, especially for PM and SO 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.

Citing Articles

PPARα suppresses low-intensity-noise-induced body weight gain in mice: the activated HPA axis plays an critical role.

Yan Z, Luo J, Wang Y, Yang J, Su M, Jiang L Int J Obes (Lond). 2024; 48(9):1274-1282.

PMID: 38902386 DOI: 10.1038/s41366-024-01550-2.


Impact of Climate on the Incidence of Acute Coronary Syndrome - Differences Between Japan and Thailand.

Yamano T, Thammakumpee K, Nabkasorn C, Ritngam A, Krungkraipetch N, Kaewwilai L Circ Rep. 2024; 6(4):134-141.

PMID: 38606419 PMC: 11004035. DOI: 10.1253/circrep.CR-24-0012.


The spatial-temporal effect of air pollution on individuals' reported health and its variation by ethnic groups in the United Kingdom: a multilevel longitudinal analysis.

Abed Al Ahad M, Demsar U, Sullivan F, Kulu H BMC Public Health. 2023; 23(1):897.

PMID: 37189130 PMC: 10186783. DOI: 10.1186/s12889-023-15853-y.


Long-term exposure to particulate matter on cardiovascular and respiratory diseases in low- and middle-income countries: A systematic review and meta-analysis.

Guo J, Chai G, Song X, Hui X, Li Z, Feng X Front Public Health. 2023; 11:1134341.

PMID: 37056647 PMC: 10089304. DOI: 10.3389/fpubh.2023.1134341.


Determining factors affecting the perceived usability of air pollution detection mobile application "AirVisual" in Thailand: A structural equation model forest classifier approach.

Ong A, Prasetyo Y, Kusonwattana P, Marinas K, Yuduang N, Chuenyindee T Heliyon. 2023; 8(12):e12538.

PMID: 36619460 PMC: 9813733. DOI: 10.1016/j.heliyon.2022.e12538.


References
1.
Pedersen M, Andersen Z, Stafoggia M, Weinmayr G, Galassi C, Sorensen M . Ambient air pollution and primary liver cancer incidence in four European cohorts within the ESCAPE project. Environ Res. 2017; 154:226-233. DOI: 10.1016/j.envres.2017.01.006. View

2.
Bowe B, Xie Y, Li T, Yan Y, Xian H, Al-Aly Z . Particulate Matter Air Pollution and the Risk of Incident CKD and Progression to ESRD. J Am Soc Nephrol. 2017; 29(1):218-230. PMC: 5748906. DOI: 10.1681/ASN.2017030253. View

3.
Sleigh A, Seubsman S, Bain C . Cohort profile: The Thai Cohort of 87,134 Open University students. Int J Epidemiol. 2007; 37(2):266-72. DOI: 10.1093/ije/dym161. View

4.
Bai L, Chen H, Hatzopoulou M, Jerrett M, Kwong J, Burnett R . Exposure to Ambient Ultrafine Particles and Nitrogen Dioxide and Incident Hypertension and Diabetes. Epidemiology. 2018; 29(3):323-332. DOI: 10.1097/EDE.0000000000000798. View

5.
Liu C, Ying Z, Harkema J, Sun Q, Rajagopalan S . Epidemiological and experimental links between air pollution and type 2 diabetes. Toxicol Pathol. 2012; 41(2):361-73. PMC: 3988529. DOI: 10.1177/0192623312464531. View