Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

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

A nationwide quasi-experimental study

Datos Bibliográficos

ID15545554
AutoresSiqi 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, autor de correspondencia)
Año2023
Volumen19
Número1
Páginas014002-014002
Fecha de publicación2023-11-16
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaEnvironmental Research Letters (JOURNAL)
Identificadores de la revistaISSN: 1748-9326 • E-ISSN: 1748-9326
EditorialIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/ad0d3d
OpenAlexW4388721936
IdiomaEN
Citas recibidas2
Referencias citadas57

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

  • Additional outpatient expenditures due to heatwaves

    Open Access•Weilong Li, Hua Liao et al.•Environmental Research Letters•2024

  • Focus on health-centred climate solutions

    Open Access•Jianxiang Shen, Wenjia Cai et al.•Environmental Research Letters•2025

  • Global Estimates of Fine Particulate Matter using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors

    Aaron van Donkelaar, Randall V Martin et al.•Environmental Science & Technology•2016

  • Designing Difference in Difference Studies

    Open Access•Coady Wing, Katie Simon et al.•Annual Review of Public Health•2018

  • On the impact of urban heat island and global warming on the power demand and electricity consumption of buildings—A review

    Open Access•M Santamouris, Constantinos Cartalis et al.•Energy and Buildings•2015

  • Global, regional, and national burden of mortality associated with non-optimal ambient temperatures from 2000 to 2019

    Open Access•Qi Zhao, Yuming Guo et al.•The Lancet Planetary Health•2021

  • ERA5-Land

    Open Access•Joaquín Muñoz‐Sabater, Emanuel Dutra et al.•Earth System Science Data•2021

  • Global 1 km × 1 km gridded revised real gross domestic product and electricity consumption during 1992–2019 based on calibrated nighttime light data

    Open Access•Jiandong Chen, Ming Gao et al.•Scientific Data•2022

  • China's New Demographic Reality

    Open Access•Yong Cai•Population and Development Review•2013

Obras citantes distintas2
Citas por año1
Intervalo de citas2024 - 2025 (2)
Velocidad de citaciónrecent
Altamente citadoNo
Tipos de citaNeutras: 2
Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae