2015-2024年极端气温对宁夏回族自治区3个城市居民心脑血管疾病死亡影响的滞后效应分析

Analysis on lag effect of extreme temperature on death of cardio/cerebrovascular disease in three cities of Ningxia Hui Autonomous Region, 2015−2024

  • 摘要:
    目的 了解宁夏回族自治区(以下简称“宁夏”)居民心脑血管疾病死亡状况分布,探究气温对心脑血管疾病死亡的暴露−剂量反应关系和滞后效应。
    方法 收集2015年1月1日-2024年12月31日银川市、吴忠市和中卫市因心脑血管疾病死亡的病例,以及同期气象数据和空气质量数据,采用分布滞后非线性模型,探究极端气温对心脑血管疾病死亡的影响及其滞后效应。
    结果 2015年1月1日-2024年12月31日,银川市、吴忠市和中卫市心脑血管疾病死亡共106 797例,日均死亡29.24例,日均空气质量指数(AQI)为110.79,日均气温为11.04 ℃,日均气压为101.70 kPa,日均风速为1.94 m/s。分布滞后非线性模型结果显示,在控制日均气压、日均风速和AQI的影响后,气温对心脑血管疾病死亡风险存在滞后效应,极端低温(−11 ℃)下,当天死亡风险最高相对危险度(RR)=1.01,95%置信区间(CI):1.00~1.03,P<0.05,极端高温(29 ℃)下,当天死亡风险最高(RR=1.05,95%CI:1.01~1.09,P<0.05)。亚组分析结果显示,极端低温对心脑血管疾病(RR=1.23,95%CI:1.08~1.39,P<0.05)、脑血管疾病(RR=1.30,95%CI:1.10~1.54,P<0.05)总体死亡风险和缺血性脑卒中(RR=1.35,95%CI:1.09~1.67,P<0.05)死亡风险有显著影响,对男性(RR=1.40,95%CI:1.17~1.68,P<0.05)、65岁及以上人群(RR=1.32,95%CI:1.12~1.57,P<0.05)、吴忠市居民(RR=1.94,95%CI:1.41~2.68,P<0.05)总体死亡风险的影响显著;极端高温对心脑血管疾病(RR=1.81,95%CI:1.19~2.75,P<0.05)、心血管疾病(RR=1.94,95%CI:1.16~3.23,P<0.05)总体死亡风险和风湿性心脏疾病(RR=1.60,95%CI:1.06~2.43,P<0.05)死亡风险有显著影响,对女性(RR=2.69,95%CI:1.52~4.76,P<0.05)、65岁及以上(RR=2.21,95%CI:1.40~3.48,P<0.05)、银川市(RR=2.89,95%CI:1.64~5.07,P<0.05)、吴忠市(RR=3.27,95%CI:1.67~6.40,P<0.05)和中卫市居民(RR=0.41,95%CI:0.22~0.77,P<0.05)总体死亡风险有显著影响。
    结论  2015-2024年极端气温对宁夏3个城市居民心脑血管疾病死亡风险有显著影响且存在滞后效应,建议加强高危人群防护,引导其在低温时段减少外出,优化集中供暖调控,开展区域差异化高温防控,及时发布高温预警,引导科学防护;建立气温与心脑血管疾病动态监测预警机制,提前部署防控工作,合理调配医疗资源。

     

    Abstract:
    Objective To investigate the distribution of cardio/cerebrovascular disease deaths in residents in Ningxia Hui Autonomous Region (Ningxia) and explore the exposure-response relationship between ambient temperature and cardio/cerebrovascular disease deaths and associated lag effects.
    Methods Data of acute cardio/cerebrovascular disease deaths, concurrent meteorological parameters (including temperature, atmospheric pressure, wind speed) and air quality indices (AQI) were collected from Yinchuan, Wuzhong, and Zhongwei in Ningxia from January 1, 2015 to December 31, 2024. A distributed lag non-linear model (DLNM) was applied to analyze the impact of extreme temperature on CVD mortality and its lag effects.
    Results A total of 106797 cardio/cerebrovascular disease deaths were recorded in the three cities during this period, with a daily average of 29.24 deaths. The mean daily AQI, temperature, atmospheric pressure, and wind speed were 110.79, 11.04℃, 101.70 kPa, and 1.94 m/s, respectively. After adjusting for daily atmospheric pressure, wind speed, and AQI, the DLNM results demonstrated a significant lag effect of ambient temperature on cardio/cerebrovascular disease mortality risk. For extreme low temperature (−11℃), the mortality risk reached the peak on the same day (lag 0 day) relative risk (RR)=1.01, 95% confidence interval (CI): 1.00~1.03, P<0.05. In contrast, extreme high temperature (29℃) exerted the strongest effect on the same day (lag 0 day), with the highest mortality risk (RR=1.05, 95% CI: 1.01−1.09, P<0.05). Subgroup analysis showed that extreme low temperature was significantly associated with elevated cumulative risks of overall cardio/cerebrovascular disease mortality (RR=1.23, 95% CI: 1.08−1.39, P<0.05) and cerebrovascular disease mortality (RR=1.30, 95% CI: 1.10−1.54, P<0.05), as well as mortality risk for ischemic stroke (RR=1.35, 95% CI: 1.09−1.67, P<0.05). Such adverse effects were also observed in men (RR=1.40, 95% CI: 1.17−1.68, P<0.05), those aged ≥65 years (RR=1.32, 95% CI: 1.12−1.57, P<0.05) and those living in Wuzhong (RR=1.94, 95% CI: 1.41−2.68, P<0.05) . On the other hand, extreme high temperature was significantly associated with increased cumulative risks for cardio/cerebrovascular disease mortality (RR=1.81, 95%CI: 1.19−2.75, P<0.05) and cardiovascular disease mortality (RR=1.94, 95% CI: 1.16−3.23, P<0.05), as well as mortality risk for rheumatic heart disease (RR=1.60, 95% CI: 1.06−2.43, P<0.05). Significant associations were also found in women (RR=2.69, 95% CI: 1.52−4.76, P<0.05), those aged ≥65 years (RR=2.21, 95%CI: 1.40−3.48, P<0.05) and those living in Yinchuan (RR=2.89, 95% CI: 1.64−5.07, P<0.05), Wuzhong (RR=3.27, 95% CI: 1.67−6.40, P<0.05) and Zhongwei (RR=0.41, 95% CI: 0.22−0.77, P<0.05).
    Conclusions Extreme temperature exhibited significant effects on cardio/cerebrovascular disease mortality risk in residents in the three cities of Ningxia, with obvious lag effects. It is suggested to strengthen the protection of the population at high-risk by advising them to reduce outdoor activity on low-temperature day, improving centralized heating; taking area specific cardio/cerebrovascular disease prevention and control measures when ambient temperature is high, timely early warning of high temperature, establishing a dynamic monitoring and early warning mechanism for temperature and cardio/cerebrovascular disease and allocating medical resources rationally.

     

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