TitleAll-cause mortality attributable to long-term changes in mean temperature and diurnal temperature variation in China: a nationwide quasi-experimental study
AuthorsAi, Siqi
Lu, Hong
Liu, Hengyi
Cao, Jingyuan
Li, Fangzhou
Qiu, Xinghua
Gong, Jicheng
Xue, Tao
Zhu, Tong
AffiliationPeking Univ, Coll Environm Sci & Engn, SKL ESPC, Beijing, Peoples R China
Peking Univ, Inst Reprod & Child Hlth, Natl Hlth Commiss Key Lab Reprod Hlth, Minist Educ,Key Lab Epidemiol Major Dis,Sch Publ H, Beijing, Peoples R China
Peking Univ, Dept Epidemiol & Biostat, Minist Educ, Key Lab Epidemiol Major Dis,Sch Publ Hlth,Hlth Sci, Beijing, Peoples R China
Peking Univ, State Environm Protect Key Lab Atmospher Environm, Beijing, Peoples R China
Peking Univ, Ctr Environm & Hlth, Beijing, Peoples R China
KeywordsRANGE
VARIABILITY
ASSOCIATION
EXPOSURE
HEALTH
Issue Date1-Jan-2024
PublisherENVIRONMENTAL RESEARCH LETTERS
AbstractPrevious studies have demonstrated an association between short-term exposure to ambient temperature and mortality. However, the long-term effects of elevated temperature and temperature variability on mortality have remained somewhat elusive in epidemiological studies. We conducted a comprehensive epidemiological study utilizing Chinese population census data from 2000 and 2010. Census-derived demographic and socioeconomic factors were paired with temperature data from the European Re-Analysis Land Dataset across 2823 counties. We employed a difference-in-difference approach to quantitatively examine the relationship between all-cause mortality and annual exposure to mean temperature and diurnal temperature range (DTR). Additionally, we evaluated the potential effects of socioeconomic and environmental covariate modifications on this relationship and calculated the attributable mortality. Lastly, we projected excess deaths attributable to annual temperature exposure under various shared socioeconomic pathways (SSPs, e.g. SSP126, SSP370, and SSP585). For each 1 degrees C rise in annual mean temperature and DTR, the mortality risk could increase by 6.12% (95% CI: 0.84%, 11.69%) and 7.72% (95% CI: 3.75%, 11.84%), respectively. Counties with high labor-force ratios and high NO2 and O3 concentrations appeared to be sensitive to the annual mean temperature and DTR. Climate warming from 2000 to 2010 may have resulted in 5.85 and 14.46 additional deaths per 10 000 people attributable to changes in annual mean temperature and DTR, respectively. The excess mortality related to changes in annual mean temperature and DTR is expected to increase in the future, with special attention warranted for long-term temperature changes in Southwest China. Our findings indicate that long-term mean temperature and DTR could significantly impact mortality rates. Given the spatial heterogeneity of increased mortality risk, the formulation of region-specific strategies to tackle climate change is crucial.
URIhttp://hdl.handle.net/20.500.11897/692491
ISSN1748-9326
DOI10.1088/1748-9326/ad0d3d
IndexedEI
SCI(E)
Appears in Collections:环境科学与工程学院
公共卫生学院

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