ArticleBMC public health2016
The influence of temperature on mortality and its Lag effect: a study in four Chinese cities with different latitudes.
Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.
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Who cites it
26 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Effect modifiers of the temperature-mortality association for general and older adults population of Brazil's metropolitan areas.Cadernos de saude publica · 2025Pooled it
- Estimation of Relative Risk of Mortality and Economic Burden Attributable to High Temperature in Wuhan, China.Frontiers in public health · 2022Pooled it
- Sociodemographic, climatic variability and lower respiratory tract infections: a systematic literature review.International journal of biometeorology · 2019Pooled it
- Racial Disparities in Weather-Related Mortality in Virginia.GeoHealth · 2026Article
- Assessing health risks of extremely hot weather and the need for enhanced heat alerts in a City with a subtropical climate.International journal of biometeorology · 2026Article
- Impact of apparent temperature on specific cardiovascular disease admissions: a time-series study and association modification in Xiangyang, China.BMC public health · 2025Article
- Impact of Daily Maximum Temperature on Emergency Department Arrivals and Acuity Levels.The western journal of emergency medicine · 2025Article
- Low climate-patterned temperature and cardiovascular disease: Worldwide trends and implications for public health policy.International journal of cardiology. Cardiovascular risk and prevention · 2025Article
- Novel Method for Measuring Ambient Heat Exposure-Acute Healthcare Utilization Associations Within a Safety Net: A Retrospective, Longitudinal Study.Journal of general internal medicine · 2025Article
- The effects of temperature variability on ischemic heart disease mortality in Hangzhou, China.Scientific reports · 2024Article
- Extreme Temperature and Mortality by Educational Attainment in Spain, 2012-2018.European journal of population = Revue europeenne de demographie · 2022Article
- Estimating the cause-specific relative risks of non-optimal temperature on daily mortality: a two-part modelling approach applied to the Global Burden of Disease Study.Lancet (London, England) · 2021Article
- A novel analysis of COVID 19 risk in India incorporating climatic and socioeconomic Factors.Technological forecasting and social change · 2021Article
- Association between climate variables and global transmission oF SARS-CoV-2.The Science of the total environment · 2020Article
- The association between ambient temperature and sperm quality in Wuhan, China.Environmental health : a global access science source · 2020Article
- Effects of temperature, humidity, and diurnal temperature range on influenza incidence in a temperate region.Influenza and other respiratory viruses · 2020Article
- nCOVID-19 Pandemic: From Molecular Pathogenesis to Potential Investigational Therapeutics.Frontiers in cell and developmental biology · 2020Review
- Health impact of climate change in cities of middle-income countries: the case of China.British medical bulletin · 2019Review
- Effects of diurnal temperature range on mortality in Hefei city, China.International journal of biometeorology · 2018Article
- Social Interventions to Prevent Heat-Related Mortality in the Older Adult in Rome, Italy: A Quasi-Experimental Study.International journal of environmental research and public health · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGlobal climate change is one of the most serious environmental issues faced by humanity, and the resultant change in frequency and intensity of heat waves and cold spells could increase mortality. The influence of temperature on human health could be immediate or delayed. Latitude, relative humidity, and air pollution may influence the temperature-mortality relationship. We studied the influence of temperature on mortality and its lag effect in four Chinese cities with a range of latitudes over 2008-2011, adjusting for relative humidity and air pollution.
methodsWe recorded the city-specific distributions of temperature and mortality by month and adopted a Poisson regression model combined with a distributed lag nonlinear model to investigate the lag effect of temperature on mortality.
resultsWe found that the coldest months in the study area are December through March and the hottest months are June through September. The ratios of deaths during cold months to hot months were 1.43, 1.54, 1.37 and 1.12 for the cities of Wuhan, Changsha, Guilin and Haikou, respectively. The effects of extremely high temperatures generally persisted for 3 days, whereas the risk of extremely low temperatures could persist for 21 days. Compared with the optimum temperature of each city, at a lag of 21 days, the relative risks (95 % confidence interval) of extreme cold temperatures were 4.78 (3.63, 6.29), 2.38 (1.35, 4.19), 2.62 (1.15, 5.95) and 2.62 (1.44, 4.79) for Wuhan, Changsha, Guilin and Haikou, respectively. The respective risks were 1.35 (1.18, 1.55), 1.19 (0.96, 1.48), 1.22 (0.82, 1.82) and 2.47 (1.61, 3.78) for extreme hot temperatures, at a lag of 3 days.
conclusionsTemperature-mortality relationships vary among cities at different latitudes. Local governments should establish regional prevention and protection measures to more effectively confront and adapt to local climate change. The effects of hot temperatures predominantly occur over the short term, whereas those of cold temperatures can persist for an extended number of days.
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