Short-term effects of particulate matter exposure on daily mortality in Thailand: a case-crossover study

Taneepanichskul, Nutta; Gelaye, Bizu; Grigsby-Toussaint, Diana S.; Lohsoonthorn, Vitool; Jimba, Masamine; Williams, Michelle A.

doi:10.1007/s11869-018-0571-7

Cited by 16 publications

(12 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The favorable meteorological conditions, such as high temperature and strong solar radiation, could also enhance the O 3 formation in Bangkok. Air pollution's contribution to mortality was greater in Bangkok, than in Hong Kong, Shanghai and Wuhan in China ( Taneepanichskul et al, 2018 ; Wong et al, 2008 ). Short-term studies in Thailand also found associations between air pollution and respiratory and cardiovascular mortality ( Ostro et al, 1999 ; Taneepanichskul et al, 2018 ) and morbidity ( Buadong et al, 2009 ; Phosri et al, 2019 ; Trang and Tripathi, 2014 ).…”

Section: Introductionmentioning

confidence: 99%

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

Paoin

Ueda

Ingviya

et al. 2021

Environmental Research

View full text Add to dashboard Cite

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 10 ), sulfur dioxide (SO 2 ), nitrogen dioxide (NO 2 ), ozone (O 3 ), 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 10 , O 3 , NO 2 , SO 2 , and CO. Results After controlling for potential confounders, we found that an IQR increase in PM 10 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 2 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 3 and NO 2 . Conclusions Long-term exposure to air pollution, especially for PM 10 and SO 2 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 car...

show abstract

Section: Introductionmentioning

confidence: 99%

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

Paoin

Ueda

Ingviya

et al. 2021

Environmental Research

View full text Add to dashboard Cite

show abstract

“…Regarding populations in developing countries, around 9 of 10 individuals were found to have a high possibility of being exposed to higher levels of PM than those specified in WHO guidelines 8 . Recently, Taneepanichskul et al 9 found an increased risk of mortality in 12 provinces of Thailand attributable to increased PM 10 concentrations, particularly during the winter months (November to February).…”

Section: Introductionmentioning

confidence: 99%

Characterising particulate matter source contributions in the pollution control zone of mining and related industries using bivariate statistical techniques

Sooktawee

Kanabkaew

Boonyapitak

et al. 2020

Sci Rep

View full text Add to dashboard Cite

Na Phra Lan Subdistrict is a pollution control zone with the highest PM10 level in Thailand. Major mobile and industrial sources in the area are related to stone crushing, quarrying and mining. This study used statistical techniques to investigate the potential sources influencing high PM10 levels in Na Phra Lan. Hourly PM10 data and related parameters (PM2.5, PMcoarse and NOx) from 2014–2017 were analysed using time series, bivariate polar plot and conditional bivariate probability function (CBPF). Results of diurnal variation revealed two peaks of PM10 levels from 06:00–10:00 and 19:00–23:00 every month. For seasonal variation, high PM10 concentrations were found from October to February associated with the cool and dry weather during these months. The bivariate polar plot and CBPF confirmed two potential sources, i.e., resuspended dust from mobile sources close to the air quality monitoring station (receptor) and industrial sources of mining, quarrying and stone crushing far from the station on the northeast side. While the industrial source areas played a role in background PM10 concentrations, the influence of mobile sources increased the concentrations resulting in two PM10 peaks daily. From the study results, we proposed that countermeasure activities should focus on potential source areas, resuspended road dust from vehicles and the industrial sources related to quarrying and mining, rather than distributing equal attention to all sources.

show abstract

“…Exposure to respirable ambient particles increases the risk of cardiovascular diseases, lung diseases, and worsened asthma symptoms (Maier et al 2008;Cosselman et al 2015;Taneepanichskul et al 2018;Pope III et al 2018). Such exposure has also been shown to have an adverse effect on the development of lung function in children and teenagers between 10 and 18 years (Horak et al 2002;Gauderman et al 2004;He et al 2010) and could also cause increased respiratory symptoms in children with asthma and other respiratory diseases (Sugiri et al 2006;O'Connor et al 2008;Schachter et al 2016).…”

Section: Introductionmentioning

confidence: 99%

Use of TEOM monitors for continuous long-term sampling of ambient particles for analysis of constituents and biological effects

Nosratabadi

Graff

Karlsson

et al. 2018

Air Qual Atmos Health

View full text Add to dashboard Cite

Many countries have implemented exposure limits for the concentration of ambient particular matter and do therefore have to monitor their concentration. This could be performed with TEOM monitors (Tapered Element Oscillating Microbalancemonitors) that contain a filter on which particles are collected. These filters are regularly exchanged for new ones. The aim of this study was to test the feasibility of collecting used filters from monitors at different locations and establishing a method to extract particles and then study them with respect to their ability to generate oxidants, their endotoxin content, and ability to activate inflammatory cells. Filters from nine geographically spread locations in Sweden were collected during a 21-month period by local technicians who then sent them to the laboratory where they were extracted and analyzed. The procedure to let local technicians perform the filter exchange and send used TEOM filters to the laboratory worked well. A method was established in which pyrogen-free water was used to extract particles that then were aliquoted and stored for later analysis. Particulate matter (PM 10) from different locations showed both a considerable seasonal and spatial-dependent difference with respect to oxidative potential (oxidize glutathione), endotoxin content, and ability to activate blood monocytes to release interleukin-1β. This study shows that, instead of discarding TEOM filters, they can be collected and extracted so that particles that have been sampled in a standardized way could be analyzed with respect to variables that reflect their toxicity. This could be done at a low cost. In combination with information about the ambient particle concentration, such information could be helpful in the evaluation of differences in the risk of breathing air at various locations.

show abstract

Short-term effects of particulate matter exposure on daily mortality in Thailand: a case-crossover study

Cited by 16 publications

References 30 publications

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

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

Characterising particulate matter source contributions in the pollution control zone of mining and related industries using bivariate statistical techniques

Use of TEOM monitors for continuous long-term sampling of ambient particles for analysis of constituents and biological effects

Contact Info

Product

Resources

About