Zhang Rui, Jia Ainan, Zheng Huan, Li Yonghong, Wang Chaonan, Wu Siyuan, Wang Songwang, Guo Qing, Wang Yu, Bi Peng, Wu Jing
Chinese Center for Disease Control and Prevention Beijing China.
National Center for Chronic and Noncommunicable Disease Control and Prevention Chinese Center for Disease Control and Prevention Beijing China.
Geohealth. 2025 Apr 8;9(4):e2024GH001246. doi: 10.1029/2024GH001246. eCollection 2025 Apr.
Parkinson's disease (PD) is a prevalent neurodegenerative disorder with significant negative health and economic implications for individuals, families and society. This study utilized an individual-level time-stratified case-crossover study design to investigate the relationship between ambient temperatures and PD mortality among the elderly in China. A combination of conditional logistic regression and distributed lag non-linear model was employed to analyze the data, and the mortality burden attributed to ambient temperatures was quantified. The study included a total of 59,397 deceased PD patients aged 60 years and above who died between 2013 and 2020. Findings revealed that the effects of extremely low temperature (-1°C) could persist for up to 14 days, while the impacts of extremely high temperature (30°C) were acute and last for 4 days and showing a significant harvest effect. For the overall population, the high temperatures significantly increased the risk of death, where low temperature did not. A lag0-14 cumulative odds ratios (COR) of extremely low temperature compared to the reference temperature (15°C) was 1.024 (95% CI: 0.971, 1.080). The lag0-14 COR of extremely high temperature was 1.206 (95% CI: 1.116, 1.304). Additionally, high temperatures attributed greater AF of 4.013 (95% eCI: 1.990, 5.894) comparing to low temperatures did of 0.762 (95% eCI: -0.624, 2.017). Significant differences were found across regions. No statistically significant differences were found between the sex and age. This nationwide study provides evidence for tailored interventions in specific regions and populations to reduce temperature-related PD mortality among the elderly in China.
帕金森病（PD）是一种常见的神经退行性疾病，对个人、家庭和社会的健康及经济产生重大负面影响。本研究采用个体水平的时间分层病例交叉研究设计，以调查中国老年人环境温度与帕金森病死亡率之间的关系。采用条件逻辑回归和分布滞后非线性模型相结合的方法对数据进行分析，并对环境温度导致的死亡负担进行量化。该研究共纳入了2013年至2020年间死亡的59397名60岁及以上的帕金森病患者。研究结果显示，极低温度（-1°C）的影响可持续长达14天，而极高温度（30°C）的影响是急性的，持续4天，并呈现出显著的收获效应。对于总体人群而言，高温显著增加了死亡风险，而低温则没有。与参考温度（15°C）相比，极低温度的滞后0 - 14累积比值比（COR）为1.024（95%置信区间：0.971, 1.080）。极高温度的滞后0 - 14 COR为1.206（95%置信区间：1.116, 1.304）。此外，与低温导致的归因分数（AF）为0.762（95%扩展置信区间：-0.624, 2.017）相比，高温导致的AF更高，为4.013（95%扩展置信区间：1.990, 5.894）。各地区之间存在显著差异。性别和年龄之间未发现统计学上的显著差异。这项全国性研究为针对特定地区和人群采取量身定制的干预措施以降低中国老年人与温度相关的帕金森病死亡率提供了证据。
