Statistical Analysis of Air Pollutants Concentration and Health Information Related to Respiratory Disease Patients in Bangkok, Thailand.


Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
26 Jun 2020
Historique:
entrez: 2 7 2020
pubmed: 2 7 2020
medline: 29 8 2020
Statut: ppublish

Résumé

Air pollution can lead to exposure to foreign particles, air that can be inhaled deep into the lungs and cardiovascular system, causing diseases such as stroke, heart disease, lung cancer, chronic obstructive pulmonary diseases, and respiratory infections. The Pearson's product moment correlation coefficient (r) was used to determine the strength of association between a pair of variables, to test the relationship between these variables and to test whether the association is greater than could be expected by chance. The linear regression between respiratory disease patients, PM10, and other air pollutants were used in this study. Among PM10 together with CO, O3, and NOx was statistically significant with P-value of <0.01 (r = .031, .307, .561; 95% CI = -.570-1.437, .275-.445, and .223-.289 respectively).

Identifiants

pubmed: 32604686
pii: SHTI200579
doi: 10.3233/SHTI200579
doi:

Substances chimiques

Air Pollutants 0
Particulate Matter 0

Types de publication

Journal Article

Langues

eng

Pagination

399-402

Auteurs

Wisit Thongkum (W)

Faculty of Public Health, Mahasarakham University, Thailand.

Santisith Khiewkhern (S)

Faculty of Public Health, Mahasarakham University, Thailand.

Sawan Thitisutthi (S)

Faculty of Public Health, Mahasarakham University, Thailand.

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Classifications MeSH