The short-term associations of particular matters on non-accidental mortality and causes of death in Chiang Mai, Thailand: a time series analysis study between 2016-2018
© 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group. Open burnings, agricultural and forest fires, are the major sources of particulate matters (PM) in Chiang Mai during dry season. We aim to determine the association of an increased daily PM (PM10, PM2.5) and daily non-accide...
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th-cmuir.6653943832-678522020-04-02T15:15:18Z The short-term associations of particular matters on non-accidental mortality and causes of death in Chiang Mai, Thailand: a time series analysis study between 2016-2018 Chaicharn Pothirat Warawut Chaiwong Chalerm Liwsrisakun Chaiwat Bumroongkit Athavudh Deesomchok Theerakorn Theerakittikul Atikun Limsukon Pattraporn Tajarernmuang Nittaya Phetsuk Environmental Science Medicine © 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group. Open burnings, agricultural and forest fires, are the major sources of particulate matters (PM) in Chiang Mai during dry season. We aim to determine the association of an increased daily PM (PM10, PM2.5) and daily non-accidental mortality and causes of death in Chiang Mai. The association between PM and daily non-accidental mortality including causes of death were analyzed using a generalized linear model with Poisson distribution. The results showed that PM10 and PM2.5 were associated with daily non-accidental mortality on different lag days (adjusted RR range from 1.009–1.018 and 1.016 for each 10 µg/m3 increment of PM10 and PM2.5, respectively). The causes of death associated with PM10, PM2.5 found on different lag days were chronic obstructive pulmonary disease (COPD), coronary artery disease (CAD), and sepsis. We concluded that PM10 and PM2.5 are associated with daily non-accidental mortality and causes of death were COPD, CAD, and sepsis. 2020-04-02T15:07:36Z 2020-04-02T15:07:36Z 2019-01-01 Journal 13691619 09603123 2-s2.0-85074006280 10.1080/09603123.2019.1673883 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85074006280&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/67852 |
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Environmental Science Medicine Chaicharn Pothirat Warawut Chaiwong Chalerm Liwsrisakun Chaiwat Bumroongkit Athavudh Deesomchok Theerakorn Theerakittikul Atikun Limsukon Pattraporn Tajarernmuang Nittaya Phetsuk The short-term associations of particular matters on non-accidental mortality and causes of death in Chiang Mai, Thailand: a time series analysis study between 2016-2018 |
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© 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group. Open burnings, agricultural and forest fires, are the major sources of particulate matters (PM) in Chiang Mai during dry season. We aim to determine the association of an increased daily PM (PM10, PM2.5) and daily non-accidental mortality and causes of death in Chiang Mai. The association between PM and daily non-accidental mortality including causes of death were analyzed using a generalized linear model with Poisson distribution. The results showed that PM10 and PM2.5 were associated with daily non-accidental mortality on different lag days (adjusted RR range from 1.009–1.018 and 1.016 for each 10 µg/m3 increment of PM10 and PM2.5, respectively). The causes of death associated with PM10, PM2.5 found on different lag days were chronic obstructive pulmonary disease (COPD), coronary artery disease (CAD), and sepsis. We concluded that PM10 and PM2.5 are associated with daily non-accidental mortality and causes of death were COPD, CAD, and sepsis. |
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Chaicharn Pothirat Warawut Chaiwong Chalerm Liwsrisakun Chaiwat Bumroongkit Athavudh Deesomchok Theerakorn Theerakittikul Atikun Limsukon Pattraporn Tajarernmuang Nittaya Phetsuk |
author_facet |
Chaicharn Pothirat Warawut Chaiwong Chalerm Liwsrisakun Chaiwat Bumroongkit Athavudh Deesomchok Theerakorn Theerakittikul Atikun Limsukon Pattraporn Tajarernmuang Nittaya Phetsuk |
author_sort |
Chaicharn Pothirat |
title |
The short-term associations of particular matters on non-accidental mortality and causes of death in Chiang Mai, Thailand: a time series analysis study between 2016-2018 |
title_short |
The short-term associations of particular matters on non-accidental mortality and causes of death in Chiang Mai, Thailand: a time series analysis study between 2016-2018 |
title_full |
The short-term associations of particular matters on non-accidental mortality and causes of death in Chiang Mai, Thailand: a time series analysis study between 2016-2018 |
title_fullStr |
The short-term associations of particular matters on non-accidental mortality and causes of death in Chiang Mai, Thailand: a time series analysis study between 2016-2018 |
title_full_unstemmed |
The short-term associations of particular matters on non-accidental mortality and causes of death in Chiang Mai, Thailand: a time series analysis study between 2016-2018 |
title_sort |
short-term associations of particular matters on non-accidental mortality and causes of death in chiang mai, thailand: a time series analysis study between 2016-2018 |
publishDate |
2020 |
url |
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85074006280&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/67852 |
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1681426711719182336 |