Association of cause-specific hospital admissions with high and low temperatures in Thailand: a nationwide time series study

dc.contributor.authorWen B.
dc.contributor.authorKliengchuay W.
dc.contributor.authorSuwanmanee S.
dc.contributor.authorAung H.W.
dc.contributor.authorSahanavin N.
dc.contributor.authorSiriratruengsuk W.
dc.contributor.authorKawichai S.
dc.contributor.authorTawatsupa B.
dc.contributor.authorXu R.
dc.contributor.authorLi S.
dc.contributor.authorGuo Y.
dc.contributor.authorTantrakarnapa K.
dc.contributor.correspondenceWen B.
dc.contributor.otherMahidol University
dc.date.accessioned2024-04-12T18:19:09Z
dc.date.available2024-04-12T18:19:09Z
dc.date.issued2024-05-01
dc.description.abstractBackground: Non-optimum temperatures are associated with a considerable mortality burden. However, evidence of temperature with all-cause and cause-specific hospital admissions in tropical countries like Thailand is still limited. Methods: Daily all-cause and cause-specific hospital admissions for outpatient and inpatient visits were collected from 77 provinces in Thailand from January 2013 to August 2019. A two-stage time-series approach was applied to assess the association between non-optimum temperatures and hospital admission. We first fitted the province-specific temperature-morbidity association and then obtained the national association in the second stage using a random-effects meta-analysis regression. The attributable fraction (AF) of hospital admissions with 95% empirical confidence interval (eCI) was calculated. Findings: A total of 878,513,460 all-cause outpatient admissions and 32,616,600 all-cause inpatient admissions were included in this study. We observed a J-shaped relationship with the risk of hospital admissions increasing for both cold and hot temperatures. The overall AFs of all-cause hospital admissions due to non-optimum temperatures were 7.57% (95% eCI: 6.47%, 8.39%) for outpatient visits and 6.17% (95% eCI: 4.88%, 7.20%) for inpatient visits. Hot temperatures were responsible for most of the AFs of hospital admissions, with 6.71% (95% eCI: 5.80%, 7.41%) for outpatient visits and 4.50% (95% eCI: 3.62%, 5.19%) for inpatient visits. The burden of hospital admissions was greater in females and in children and adolescents (0–19 years). The fractions of hospital admissions attributable to non-optimum temperatures exhibited variation among disease categories and geographical areas. Interpretation: The results indicate that low and high temperature has a significant impact on hospital admissions, especially among the females, and children and adolescents (0–19 years). The current investigation could provide evidence for policymakers to develop adaptation strategies and mitigate the adverse effects of climate change on public health in Thailand and other tropical countries. Funding: National Research Council of Thailand (NRCT): E-Asia Joint Research Program: Climate change impact on natural and human systems ( N33A650979).
dc.identifier.citationThe Lancet Regional Health - Western Pacific Vol.46 (2024)
dc.identifier.doi10.1016/j.lanwpc.2024.101058
dc.identifier.eissn26666065
dc.identifier.scopus2-s2.0-85189512519
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/97938
dc.rights.holderSCOPUS
dc.subjectMedicine
dc.titleAssociation of cause-specific hospital admissions with high and low temperatures in Thailand: a nationwide time series study
dc.typeArticle
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85189512519&origin=inward
oaire.citation.titleThe Lancet Regional Health - Western Pacific
oaire.citation.volume46
oairecerif.author.affiliationFaculty of Tropical Medicine, Mahidol University
oairecerif.author.affiliationThailand Ministry of Public Health
oairecerif.author.affiliationFaculty of Medicine, Nursing and Health Sciences
oairecerif.author.affiliationMahidol University
oairecerif.author.affiliationChiang Mai University
oairecerif.author.affiliationSrinakharnwirot University
oairecerif.author.affiliationMaeFah Luang University

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