- Volume 13 Number 1 ( Feb. 2023)
- Volume 13 Number 2 ( April. 2023)
- Volume 13 Number 3 (Jun. 2023)
- Volume 13 Number 4 (Aug. 2023)
- Volume 13 Number 5 ( Oct. 2023)
- Volume 13 Number 6 ( Dec. 2023)
- Volume 12 Number 1 ( Feb. 2022)
- Volume 12 Number 2 ( May. 2022)
- Volume 12 Number 3 (Aug. 2022)
- Volume 12 Number 4 ( Nov. 2022)
- Volume 11 Number 1 ( Feb. 2021)
- Volume 11 Number 2 ( May. 2021)
- Volume 11 Number 3 (Aug. 2021)
- Volume 11 Number 4 ( Nov. 2021)
- Volume 10 Number 1 ( Feb. 2020)
- Volume 10 Number 2 ( May. 2020)
- Volume 10 Number 3 (Aug. 2020)
- Volume 10 Number 4 ( Nov. 2020)
- Volume 9 Number 1 ( Feb. 2019)
- Volume 9 Number 2 ( May. 2019)
- Volume 9 Number 3 ( Aug. 2019)
- Volume 9 Number 4 ( Nov. 2019)
- Volume 8 Number 1 ( Jan. 2018)
- Volume 8 Number 2 (Feb. 2018)
- Volume 8 Number 3 (Mar. 2018)
- Volume 8 Number 4 (Apr. 2018)
- Volume 8 Number 5 (May. 2018)
- Volume 8 Number 6 (Jun. 2018)
- Volume 8 Number 7 (Jul. 2018)
- Volume 8 Number 8 (Aug. 2018)
- Volume 8 Number 9 (Sep. 2018)
- Volume 8 Number 10 (Oct. 2018)
- Volume 8 Number 11 (Nov. 2018)
- Volume 8 Number 12 (Dec. 2018)
- Volume 7 Number 1 (Jan. 2017)
- Volume 7 Number 2 (Feb. 2017)
- Volume 7 Number 3 (Mar. 2017)
- Volume 7 Number 4 (April. 2017)
- Volume 7 Number 5 (May. 2017)
- Volume 7 Number 6 (Jun. 2017)
- Volume 7 Number 7 (Jul. 2017)
- Volume 7 Number 8 (Aug. 2017)
- Volume 7 Number 9 (Sep. 2017)
- Volume 7 Number 10 ( Oct. 2017)
- Volume 7 Number 11 ( Nov. 2017)
- Volume 7 Number 12 ( Dec. 2017)
- Volume 6 Number 1 (Jan. 2016)
- Volume 6 Number 2 (Feb. 2016)
- Volume 6 Number 3 (Mar. 2016)
- Volume 6 Number 4 (Apr. 2016)
- Volume 6 Number 5 (May 2016)
- Volume 6 Number 6 (Jun. 2016)
- Volume 6 Number 7 (Jul. 2016)
- Volume 6 Number 8 (Aug. 2016)
- Volume 6 Number 9 (Sep. 2016)
- Volume 6 Number 10 (Oct. 2016)
- Volume 6 Number 11 (Nov. 2016)
- Volume 6 Number 12 (Dec. 2016)
- Volume 5 Number 1 (Jan. 2015)
- Volume 5 Number 2 (Feb. 2015)
- Volume 5 Number 3 (Mar. 2015)
- Volume 5 Number 4 (Apr. 2015)
- Volume 5 Number 5 (May 2015)
- Volume 5 Number 6 (Jun. 2015)
- Volume 5 Number 7 (Jul. 2015)
- Volume 5 Number 8 (Aug. 2015)
- Volume 5 Number 9 (Sep. 2015)
- Volume 5 Number 10 (Oct. 2015)
- Volume 5 Number 11 (Nov. 2015)
- Volume 5 Number 12 (Dec. 2015)
- Volume 4 Number 1 (Jan. 2014)
- Volume 4 Number 2 (Mar. 2014)
- Volume 4 Number 3 (May 2014)
- Volume 4 Number 4 (Jul. 2014)
- Volume 4 Number 5 (Sep. 2014)
- Volume 4 Number 6 (Nov. 2014)
- Volume 3 Number 1 (Jan. 2013)
- Volume 3 Number 2 (Mar. 2013)
- Volume 3 Number 3 (May 2013)
- Volume 3 Number 4 (Jul. 2013)
- Volume 3 Number 5 (Sep. 2013)
- Volume 3 Number 6 (Nov. 2013)
- Volume 2 Number 1 (Jan. 2012)
- Volume 2 Number 2 (Mar. 2012)
- Volume 2 Number 3 (May 2012)
- Volume 2 Number 4 (Jul. 2012)
- Volume 2 Number 5 (Sep. 2012)
- Volume 2 Number 6 (Nov. 2012)
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
- ISSN: 2010-3646 (Online)
- Abbreviated Title: Int. J. Social. Scienc. Humanit.
- Frequency: Bimonthly
- DOI: 10.18178/IJSSH
- Editor-in-Chief: Prof. Paul Sudnik
- Executive Editor: Ms. Yoyo Y. Zhou
- Abstracting/ Indexing: Google Scholar, Index Copernicus, Crossref, Electronic Journals Library
- E-mail: ijssh.editorial.office@gmail.com
Home> Archive> 2013> Volume 3 Number 2 (Mar. 2013)
IJSSH 2013 Vol.3(2): 163-166 ISSN: 2010-3646
DOI: 10.7763/IJSSH.2013.V3.219
DOI: 10.7763/IJSSH.2013.V3.219
The Association between Particulate Matter 10 and Severity of Chronic Obstructive Pulmonary Disease, Northern Thailand
P. Pramuansup, T. Apidechkul, N. Pasukphun, and M. Wongkarnka
Abstract—The purpose of this study was to determine the association between particulate matter with ≤ 10 μ/m3 (PM10) and the severity of Chronic Obstructive Pulmonary Disease (COPD). A retrospective cohort study design was conducted and collected data by using completed and tested questionnaires. Data were collected from the medical records among the COPD cases from local hospitals in Chiang Rai Province, Thailand. The PM10 was calculated based on two settings of PM10 monitoring system in Chiang Rai Province. The severity of COPD was measured by the Modified Medical Research Council Dyspnea Score (mMRC) method. Logistic regression was applied to test the association between independent and dependent variables. The levels of statistical significance were 0.10 and 0.05 in univariate and multivariate models respectively. Results; the different PM10 exposing level was found in the group for exposure to PM10 (p<0.10) in dry season. Those people who exposed PM10 had a greater in severity of COPD with 5.85 times when compare to un-exposed group (OR= 5.85, 95% CI: 4.12-8.30). Increasing of PM10 level is directly associated with the severity of the COPD, then the increasing of people awareness to avoid and protect from the PM10 are necessary for a better of quality of life among the COPD.
Index Terms—COPD, PM10, severity of COPD.
The authors are with the School of Health Science, Mae Fah Luang University, Chiang Rai 57100, Thailand (e-mail: peeyamay22@hotmail.com, tk2516ms@hotmail.com, nittapsp@yahoo.com, wongkarn@yahoo.com).
Index Terms—COPD, PM10, severity of COPD.
The authors are with the School of Health Science, Mae Fah Luang University, Chiang Rai 57100, Thailand (e-mail: peeyamay22@hotmail.com, tk2516ms@hotmail.com, nittapsp@yahoo.com, wongkarn@yahoo.com).
Cite:P. Pramuansup, T. Apidechkul, N. Pasukphun, and M. Wongkarnka, "The Association between Particulate Matter 10 and Severity of Chronic Obstructive Pulmonary Disease, Northern Thailand," International Journal of Social Science and Humanity vol. 3, no. 2, pp. 163-166, 2013.