Association of cause-specific hospital admissions with high and low temperatures in Thailand : a nationwide time series study
© 2024 The Authors..
Background: 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).
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:46 |
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| Enthalten in: |
The Lancet regional health. Western Pacific - 46(2024) vom: 15. Apr., Seite 101058 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Wen, Bo [VerfasserIn] |
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| Links: |
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| Themen: |
Cause-specific hospital admissions |
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| Anmerkungen: |
Date Revised 11.04.2024 published: Electronic-eCollection Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1016/j.lanwpc.2024.101058 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM370853393 |
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| 245 | 1 | 0 | |a Association of cause-specific hospital admissions with high and low temperatures in Thailand |b a nationwide time series study |
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| 520 | |a © 2024 The Authors. | ||
| 520 | |a Background: 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 | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a Funding: National Research Council of Thailand (NRCT): E-Asia Joint Research Program: Climate change impact on natural and human systems (N33A650979) | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Cause-specific hospital admissions | |
| 650 | 4 | |a High and low temperatures | |
| 650 | 4 | |a Nationwide study | |
| 700 | 1 | |a Kliengchuay, Wissanupong |e verfasserin |4 aut | |
| 700 | 1 | |a Suwanmanee, San |e verfasserin |4 aut | |
| 700 | 1 | |a Aung, Htoo Wai |e verfasserin |4 aut | |
| 700 | 1 | |a Sahanavin, Narut |e verfasserin |4 aut | |
| 700 | 1 | |a Siriratruengsuk, Weerayut |e verfasserin |4 aut | |
| 700 | 1 | |a Kawichai, Sawaeng |e verfasserin |4 aut | |
| 700 | 1 | |a Tawatsupa, Benjawan |e verfasserin |4 aut | |
| 700 | 1 | |a Xu, Rongbin |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Shanshan |e verfasserin |4 aut | |
| 700 | 1 | |a Guo, Yuming |e verfasserin |4 aut | |
| 700 | 1 | |a Tantrakarnapa, Kraichat |e verfasserin |4 aut | |
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