ArticleInternational journal of biometeorology2022
Impact of temperature changes between neighboring days on cardiovascular disease hospital admissions among suburban farmers in Qingyang, Northwest China.
Article in International journal of biometeorology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 17 citations in OpenAlex.
- Nonlinear and potential driving impacts of meteorological and air pollution factors on influenza-like illness in Jinan, China.BMC public health · 2025Article
- Investigating the impact of extreme weather events and related indicators on cardiometabolic multimorbidity.Archives of public health = Archives belges de sante publique · 2024Article
- Optimizing cardiovascular disease mortality prediction: a super learner approach in the tehran lipid and glucose study.BMC medical informatics and decision making · 2024Article
- Author response: Effect of temperature changes between neighboring days on acute aortic dissection in non-heating periods.The Lancet regional health. Western Pacific · 2023Article
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Authors and funding
6 authors at 5 institutions in 3 countries.
Funding
Abstract
backgroundNo studies focused on impact of temperature changes between neighboring days (TCN) on cardiovascular disease (CVD) hospital admissions among suburban farmers although CVD has been the main cause to global mortality and disability especially in undeveloped and developing countries/areas.
methodDaily data of CVD hospital admissions on suburban farmers and daily data of meteorology in Qingyang (China) were collected during 2011-2015. A distributed lag non-linear model (DLNM) was applied to explore the exposure-response relations and lagged effects between TCN and CVD hospital admissions with stratified analyses by age and gender. Extreme low TCN effects and burden analysis were conducted.
resultsBased on 25,984 cases in Qingyang (China) during 2011-2015 among suburban farmers, we found that, first, nonlinear relationship was observed between TCN and CVD hospital admissions and adverse impact in negative TCN (temperature dropping between neighboring days) while protective effect in positive TCN (temperature rising between neighboring days) were discovered; third, during lag0-27, the cumulative relative risk (RR) for extreme low TCN (5th percentile, - 3.5 °C) and extreme high TCN (95th percentile, 3 °C) was 29.55 (95% CI 4.709-185.436) and 0.040 (95% CI 0.009-0.169), respectively; fourth, the age < 65 and females were more vulnerable to negative TCN than the age ≥ 65 and males among suburban farmers, respectively; last, moderate low TCN contributed the most fractions and numbers on CVD hospital admissions.
conclusionsAmong Qingyang suburban farmers in Northwest China, negative TCN should be paid more attention.
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