ArticleFrontiers in neurology2023
Temperature variability increases the onset risk of ischemic stroke: A 10-year study in Tianjin, China.
Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- Mapping the Burden of Ischemic Stroke Attributable to Temperature Variation under Climate Change Scenarios Accounting for Long-Term Adaptation.Environmental health perspectives · 2026Article
- Upward Air Temperature Shifts and Acute Cardiovascular Events in Individuals with Atherosclerotic Cardiovascular Disease: A Time-Stratified Case-Crossover Study.The Lancet regional health. Europe · 2026Article
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- Interactive Effect of Air Temperature and Fine Particulate Matter on the Hospital Admissions for Stroke in Shenzhen, China.Journal of the American Heart Association · 2025Article
- Triglyceride-glucose index as a biomarker to differentiate stroke etiologic subtypes: a hospital-based cross-sectional study.Biomarkers in medicine · 2025Article
- The impact of meteorological conditions on cardiovascular and cerebrovascular diseases in different microclimatic zones of low-latitude mountainous areas.Frontiers in public health · 2024Article
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Epidemiological evidence suggests a correlation between ambient temperature and ischemic stroke. However, evidence on the impact of daily temperature variability on the onset of ischemic stroke is lacking and limited. Objective: We aimed to investigate the short-term association between temperature variability and ischemic stroke occurrence in Tianjin. Methods: We performed a 10-year analysis of ischemic stroke patients hospitalized in two affiliated hospitals of Tianjin Medical University from 2011 to 2020. Daily meteorological data were collected from the Tianjin Meteorological Bureau. Temperature variability was calculated from the standard deviation (SD) of daily minimum and maximum temperatures over exposure days. A quasi-Poisson generalized linear regression combined with distributed lag non-linear model (DLNM) was used to estimate the effect of temperature variability on daily stroke onset, while controlling for daily mean temperature, relative humidity, long-term trend and seasonality, public holiday, and day of the week. Results: Temperature variability was positively associated with ischemic stroke. A 1°C increase in temperature variability at 0-1 days (TV Conclusion: Our findings suggested that short-term temperature variability exposure could increase the risk of ischemic stroke, which may provide new insights into the impact of climate change on health.
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