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热浪对中国 2 型糖尿病死亡率的影响:沿海城市和内陆城市的比较分析。

Impacts of heatwaves on type 2 diabetes mortality in China: a comparative analysis between coastal and inland cities.

机构信息

Ecosystem Change and Population Health Research Group, School of Public Health and Social Work, Queensland University of Technology, Brisbane, QLD, 4059, Australia.

Shandong Center for Disease Control and Prevention, and Academy of Preventive Medicine, Shandong University, Jinan, Shandong, China.

出版信息

Int J Biometeorol. 2024 May;68(5):939-948. doi: 10.1007/s00484-024-02638-0. Epub 2024 Feb 26.

Abstract

The impacts of extreme temperatures on diabetes have been explored in previous studies. However, it is unknown whether the impacts of heatwaves appear variations between inland and coastal regions. This study aims to quantify the associations between heat exposure and type 2 diabetes mellitus (T2DM) deaths in two cities with different climate features in Shandong Province, China. We used a case-crossover design by quasi-Poisson generalized additive regression with a distributed lag model with lag 2 weeks, controlling for relative humidity, the concentration of air pollution particles with a diameter of 2.5 µm or less (PM), and seasonality. The wet- bulb temperature (Tw) was used to measure the heat stress of the heatwaves. A significant association between heatwaves and T2DM deaths was only found in the coastal city (Qingdao) at the lag of 2 weeks at the lowest Tw = 14℃ (relative risk (RR) = 1.49, 95% confidence interval (CI): 1.11-2.02; women: RR = 1.51, 95% CI: 1.02-2.24; elderly: RR = 1.50, 95% CI: 1.08-2.09). The lag-specific effects were significant associated with Tw at lag of 1 week at the lowest Tw = 14℃ (RR = 1.14, 95% CI: 1.03-1.26; women: RR = 1.15, 95% CI: 1.01-1.31; elderly: RR = 1.15, 95% CI: 1.03-1.28). However, no significant association was found in Jian city. The research suggested that Tw was significantly associated with T2DM mortality in the coastal city during heatwaves on T2DM mortality. Future strategies should be implemented with considering socio-environmental contexts in regions.

摘要

先前的研究已经探讨了极端温度对糖尿病的影响。然而,目前尚不清楚热浪对内陆和沿海地区的影响是否存在差异。本研究旨在量化中国山东省两个气候特征不同的城市中热暴露与 2 型糖尿病(T2DM)死亡之间的关联。我们使用病例交叉设计,通过具有分布式滞后模型的准泊松广义加性回归,控制相对湿度、直径为 2.5 µm 或更小的空气污染物颗粒浓度(PM)和季节性。湿球温度(Tw)用于测量热浪的热应激。仅在沿海城市(青岛)发现热浪与 T2DM 死亡之间存在显著关联,滞后时间为 2 周,最低 Tw=14℃(相对风险(RR)=1.49,95%置信区间(CI):1.11-2.02;女性:RR=1.51,95%CI:1.02-2.24;老年人:RR=1.50,95%CI:1.08-2.09)。滞后特异性效应与最低 Tw=14℃时的滞后 1 周的 Tw 显著相关(RR=1.14,95%CI:1.03-1.26;女性:RR=1.15,95%CI:1.01-1.31;老年人:RR=1.15,95%CI:1.03-1.28)。然而,在监利市未发现显著关联。研究表明,在沿海城市,Tw 与热浪期间 T2DM 死亡率之间存在显著关联。未来的策略应考虑到地区的社会环境背景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd3d/11058751/ed67ed52616d/484_2024_2638_Fig1_HTML.jpg

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