Cause-specific mortality and burden attributable to temperature variability in China.
Cardiorespiratory diseases
Disease burden
Mortality
Temperature variability
Time-series study
Journal
The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500
Informations de publication
Date de publication:
20 Oct 2023
20 Oct 2023
Historique:
received:
01
02
2023
revised:
23
06
2023
accepted:
30
06
2023
medline:
20
9
2023
pubmed:
6
7
2023
entrez:
5
7
2023
Statut:
ppublish
Résumé
Few large-scale, nationwide studies have assessed cause-specific mortality risks and burdens associated with temperature variability (TV). To estimate associations between TV and cause-specific mortality and quantify the mortality burden in China. Data on daily total and cause-specific mortality in 272 Chinese cities between 2013 and 2015 were recorded. TVs were computed as the standard deviations of daily minimum and maximum temperatures over a duration of 2 to 7 days. The time-series quasi-Poisson regression model with adjustment of the cumulative effects of daily mean temperature over the same duration was applied to evaluate the city-specific associations of TV and mortality. Then, we pooled the effect estimates using a random-effects meta-analysis and calculated the mortality burdens. Overall, TV showed significant and positive associations with total and cause-specific mortality. The TV-mortality associations were generally stronger when using longer durations. A 1 °C increase in TV at 0-7 days (TV This nationwide study indicated that TV was an independent risk factor of mortality, and could result in significant burden for main cardiorespiratory diseases.
Sections du résumé
BACKGROUND
BACKGROUND
Few large-scale, nationwide studies have assessed cause-specific mortality risks and burdens associated with temperature variability (TV).
OBJECTIVE
OBJECTIVE
To estimate associations between TV and cause-specific mortality and quantify the mortality burden in China.
METHODS
METHODS
Data on daily total and cause-specific mortality in 272 Chinese cities between 2013 and 2015 were recorded. TVs were computed as the standard deviations of daily minimum and maximum temperatures over a duration of 2 to 7 days. The time-series quasi-Poisson regression model with adjustment of the cumulative effects of daily mean temperature over the same duration was applied to evaluate the city-specific associations of TV and mortality. Then, we pooled the effect estimates using a random-effects meta-analysis and calculated the mortality burdens.
RESULTS
RESULTS
Overall, TV showed significant and positive associations with total and cause-specific mortality. The TV-mortality associations were generally stronger when using longer durations. A 1 °C increase in TV at 0-7 days (TV
CONCLUSION
CONCLUSIONS
This nationwide study indicated that TV was an independent risk factor of mortality, and could result in significant burden for main cardiorespiratory diseases.
Identifiants
pubmed: 37406687
pii: S0048-9697(23)03890-1
doi: 10.1016/j.scitotenv.2023.165267
pii:
doi:
Types de publication
Meta-Analysis
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
165267Informations de copyright
Copyright © 2023. Published by Elsevier B.V.
Déclaration de conflit d'intérêts
Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.