Critical Temperature Thresholds for Identifying Vulnerability to Heat-Related Excess Cardiovascular Morbidity and Mortality

识别与高温相关的心血管疾病发病率和死亡率风险的关键温度阈值

阅读:1

Abstract

BACKGROUND: Extreme heat is a well-established environmental hazard linked to elevated cardiovascular disease (CVD) morbidity and mortality, yet few studies evaluate temperature effects across multiple temporal scales or identify community-specific vulnerability. METHODS: We analyzed neighborhood-level CVD deaths and emergency department visits linked to sociodemographic characteristics and high-resolution temperature and humidity estimates. Generalized additive models with smooth splines for temperature, humidity, age, and time estimated excess heat-related rates across temporal scales. Principal component analysis and k-means clustering classified Chicago community areas by multidimensional heat vulnerability. RESULTS: Higher temperatures were significantly associated with increased CVD and coronary heart disease mortality across warm-season, monthly, and daily scales but were not associated with cardiovascular emergency department visits. Peak warm-season thresholds for all CVD mortality occurred at 25.6 °C, corresponding to 20.7 excess deaths per 100 000 (SD 20.3; P<0.001). Daily peaks occurred at 39.5 °C with 0.048 excess deaths per 100 000 per day (SD 0.068; P<0.001), and a 0 to 3-day lag peak at 38 °C produced 0.049 excess deaths per 100 000 (SD 0.133; P<0.001). Coronary heart disease mortality showed similar patterns, with warm-season peaks at 27.8 °C (9.19 per 100 000; P=0.004). No statistically significant associations were observed for myocardial infarction or stroke mortality. Principal component analysis and clustering identified 3 vulnerability profiles driven by socioeconomic disadvantage, racial and ethnic composition, heat exposure, and humidity. CONCLUSIONS: Temperature thresholds for cardiovascular mortality vary across temporal scales and CVD subtypes, with strongest associations for all CVD and coronary heart disease mortality. Integrating temperature-mortality relationships with community vulnerability profiles may support targeted heat warning systems and neighborhood-specific adaptation strategies.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。