Zhao Xin, Li Xin, Dong Jiyuan
School of Public Health, Lanzhou University, Lanzhou, 730000, People's Republic of China.
Int J Biometeorol. 2025 Jan;69(1):63-75. doi: 10.1007/s00484-024-02793-4. Epub 2024 Sep 30.
This study assessed the impact of various temperature indices, including mean temperature (MT), diurnal temperature range (DTR), and temperature changes between neighboring days (TCN) on hospitalization rates for cardiovascular system diseases among residents of Zhangye City, a typical western city in China. The Quasi-Poisson generalized additive regression model (GAM) in conjunction with a distributed lag nonlinear model (DLNM) was applied to estimate the association of temperature indices with CVD hospitalization rates in Zhangye City during the periods of 2015-2021. The exposure-response relationship and relative risk were discussed and stratified analyses by age and gender were conducted. We found that the hospitalization rates of cardiovascular disease (CVD) patients in Zhangye City was significantly related to different temperature indicators (MT, DTR, TCN). Both low and high MT, DTR, and TCN increased the risk of cardiovascular disease (CVD) among residents. Besides, different demographic populations exhibited distinct sensitivities to temperature conditions. Relevant authorities should devise corresponding preventive and control measures to protect vulnerable populations.
本研究评估了包括平均温度（MT）、日温度范围（DTR）以及相邻日之间的温度变化（TCN）在内的各种温度指数对中国西部典型城市张掖市居民心血管系统疾病住院率的影响。应用准泊松广义相加回归模型（GAM）结合分布滞后非线性模型（DLNM）来估计2015 - 2021年期间张掖市温度指数与心血管疾病（CVD）住院率之间的关联。讨论了暴露 - 反应关系和相对风险，并按年龄和性别进行了分层分析。我们发现，张掖市心血管疾病（CVD）患者的住院率与不同的温度指标（MT、DTR、TCN）显著相关。MT、DTR和TCN过高或过低均会增加居民患心血管疾病（CVD）的风险。此外，不同人口群体对温度条件表现出不同的敏感性。相关部门应制定相应的预防和控制措施，以保护弱势群体。
