ArticleInternational journal of environmental research and public health2021
Short-Term Effect of Temperature Change on Non-Accidental Mortality in Shenzhen, China.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Nonlinear and potential driving impacts of meteorological and air pollution factors on influenza-like illness in Jinan, China.BMC public health · 2025Article
- Examination of the association between temperature variability and cardiovascular and respiratory mortality in South Africa, 2006-2016.Frontiers in epidemiology · 2025Article
- Association of Exposure to Humidex with Schizophrenia Admissions in Qingdao, China: A Time-Series Study.Neuropsychiatric disease and treatment · 2025Article
- The effects of temperature variability on ischemic heart disease mortality in Hangzhou, China.Scientific reports · 2024Article
- Comparison for the effects of different components of temperature variability on mortality: A multi-country time-series study.Environment international · 2024Article
- Exploring the effect of a sweltering environment on the risk of death from cardiovascular diseases.Frontiers in neurology · 2024Article
- Impact of diurnal temperature range on hospital admissions for cerebrovascular disease among farmers in Northwest China.Scientific reports · 2022Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Temperature change is an important meteorological indicator reflecting weather stability. This study aimed to examine the effects of ambient temperature change on non-accidental mortality using diurnal temperature change (DTR) and temperature change between neighboring days (TCN) from two perspectives, intra-day and inter-day temperature change, and further, to explore seasonal variations of mortality, identify the susceptible population and investigate the interaction between temperature change and apparent temperature (AT). We collected daily data on cause-specific mortality, air pollutants and meteorological indicators in Shenzhen, China, from 1 January 2013 to 29 December 2017. A Quasi-Poisson generalized linear regression combined with distributed lag non-linear models (DLNMs) were conducted to estimate the effects of season on temperature change-related mortality. In addition, a non-parametric bivariate response surface model was used to explore the interaction between temperature change and AT. The cumulative effect of DTR was a U-shaped curve for non-accidental mortality, whereas the curve for TCN was nearly monotonic. The overall relative risks (RRs) of non-accidental, cardiovascular and respiratory mortality were 1.407 (95% CI: 1.233-1.606), 1.470 (95% CI: 1.220-1.771) and 1.741 (95% CI: 1.157-2.620) from exposure to extreme large DTR (99th) in cold seasons. However, no statistically significant effects were observed in warm seasons. As for TCN, the effects were higher in cold seasons than warm seasons, with the largest RR of 1.611 (95% CI: 1.384-1.876). The elderly and females were more sensitive, and low apparent temperature had a higher effect on temperature change-related non-accidental mortality. Temperature change was positively correlated with an increased risk of non-accidental mortality in Shenzhen. Both female and elderly people are more vulnerable to the potential adverse effects, especially in cold seasons. Low AT may enhance the effects of temperature change.
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