All-cause mortality attributable to long-term changes in mean temperature and diurnal temperature variation in China

A nationwide quasi-experimental study

Bibliographic Data

ID15545554
AuthorsSiqi Ai (0000-0002-2268-463X, Peking University), Hong Lu (0000-0002-8529-441X), Hengyi Liu (0009-0009-0432-2318, Peking University), Jingyuan Cao (Peking University), Fangzhou Li (0000-0001-8959-595X, Peking University), Xinghua Qiu (0000-0001-9874-8030, Peking University), Jicheng Gong (0000-0002-8943-8804, Peking University), Tao Xue (0000-0002-6591-8141), Xue Tao (0000-0002-7045-2307, Peking University), Tong Zhu (0000-0001-5704-4264, Peking University, corresponding author)
Year2023
Volume19
Issue1
Pages014002-014002
Publication date2023-11-16
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/ad0d3d
OpenAlexW4388721936
LanguageEN
Citations received2
References cited57

Previous 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 °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 NO 2 and O 3 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

Apparent temperature · Biology · Census · Climate change · Covariate · Diurnal temperature variation · Geography · Mean radiant temperature · Meteorology · Population · Relative humidity · Statistics · Air Quality and Health Impacts · Climate Change and Health Impacts · Environmental Science · Global Health Care Issues · Mathematics · Demography