Evidence map›Paper›PMID 40800022›Full record

ArticleFrontiers in public health2025

The correlation between temperature and the incidence of acute ischaemic stroke in Yanji, China: a time series study.

Binyu Zhao, Yao Zhao, Shuang Wang, Meng Tan, Jianguo Pei, Ruojin Li

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Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Binyu ZhaoDepartment of Biostatistics, School of Public Health, Harbin Medical University, Harbin, China.
Yao ZhaoDepartment of Radiology, Affiliated Hospital of Yanbian University, Yanji, China.
Shuang WangDepartment of Radiology, Affiliated Hospital of Yanbian University, Yanji, China.
Meng TanDepartment of Radiology, Affiliated Hospital of Yanbian University, Yanji, China.
Jianguo PeiDepartment of Radiology, Affiliated Hospital of Yanbian University, Yanji, China.
Ruojin LiDepartment of Biostatistics, School of Public Health, Harbin Medical University, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Acute ischaemic stroke (AIS) is a common cerebrovascular disease; however, the relationship between temperature and its onset remains unclear. Therefore, we aimed to explore the association between temperature and the incidence of AIS in Yanji, a city in Northeast China. Methods: We collected data on patients with AIS from the Affiliated Hospital of Yanbian University from Jan 1, 2019, to Dec 31, 2023, along with meteorological data during the same period. A distributed lag nonlinear model (DLNM) was constructed to estimate the correlation between temperature and the risk of developing AIS, and further subgroup analyses stratified by sex, age and period (non-pandemic, pandemic) were performed. Results: A total of 15,997 patients were diagnosed with AIS during the study period. Using the minimum morbidity temperature (MMT) of -8.3°C as a reference, extreme heat (26.5°C, 99th percentile of temperature) and moderate heat (21.9°C, 90th percentile of temperature) were found to increase the risk of developing AIS on the day of exposure, with this effect persisting even after a lag of 7 days. The relative risks (RRs) with 95% confidence intervals were 1.268 (95% CI: 1.143-1.407) and 1.239 (95% CI: 1.145-1.341), respectively. In contrast, no harmful effects were observed within a lag of 0-7 days for extreme cold (-17.4°C, 1st percentile of temperature) and moderate cold (-10.6°C, 10th percentile of temperature) conditions. Subgroup analysis revealed that in the early stages of exposure to extreme heat and moderate heat, the risk of developing AIS increased in males and individuals under 65 years of age, and there were differences in the risk of developing AIS between the pandemic and non-pandemic periods. Conclusion: Our research suggests that exposure to high-temperature environments increases the risk of developing AIS and that the harmful effects of high temperatures have a lag effect. Reducing exposure to high temperatures may help alleviate the medical burden associated with AIS.

Indexed as

Hot TemperatureIschemic StrokeTemperatureAdultAgedAged, 80 and overChinaFemaleHumansIncidenceMaleMiddle AgedRisk Factorsacute ischaemic strokedistributed lag nonlinear modelmeteorological conditionsminimum morbidity temperaturetemperature

Identifiers

PMID40800022
PMCPMC12339521

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