Wu Yao, Xu Rongbin, Gasevic Danijela, Yang Zhengyu, Yu Pei, Wen Bo, Liu Yanming, Zhou Guowei, Zhang Yan, Song Jiangning, Liu Hong, Li Shanshan, Guo Yuming
Climate, Air Quality Research (CARE) Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Centre for Global Health, Usher Institute, The University of Edinburgh, Edinburgh, UK.
Commun Med (Lond). 2025 Mar 10;5(1):71. doi: 10.1038/s43856-025-00771-4.
Flooding has emerged as the most prevalent natural disaster, impacting billions of individuals worldwide. However, the long-term effects of flooding exposure on dementia remain unclear.
With a nested case-control design, a risk-set sampling method was used to match cases and controls. Annual cumulative flooding exposure was calculated for each participant. The associations between flooding exposure and incident dementia were assessed using conditional logistic regression models.
Here we show that the risk of flood-related incident dementia is the strongest in the current year and diminished over a span of 6 years. In the fully adjusted model, the cumulative odds ratios (OR) are 1.28 (95% confidence interval [CI]: 1.25-1.31) for any dementia, 1.44 (95% CI: 1.36-1.53) for Alzheimer's disease and 1.65 (95% CI: 1.48-1.83) for vascular dementia, associated with per unit increase in annual cumulative flooding exposure over lag 0-6 years. Participants under the age of 65 years (OR: 1.39, 95% CI: 1.33-1.46) and female participants (OR: 1.41, 95% CI: 1.33-1.49) exhibit a higher risk of incident dementia compared to those aged 65 years and older (OR: 1.25, 95% CI: 1.21-1.28) and male participants (OR: 1.26, 95% CI: 1.23-1.30), respectively. Similar effect estimates are observed in the stratified analyses of Alzheimer's disease according to genetic factors.
This study provides robust epidemiological evidence supporting the link between floods and an increased risk of dementia. These findings enhance the understanding of the long-term consequences of flood exposure.
洪水已成为最普遍的自然灾害,影响着全球数十亿人。然而,接触洪水对痴呆症的长期影响仍不明确。
采用嵌套病例对照设计,使用风险集抽样方法匹配病例和对照。计算每个参与者每年的累积洪水暴露量。使用条件逻辑回归模型评估洪水暴露与新发痴呆症之间的关联。
我们发现,与洪水相关的新发痴呆症风险在当年最强,并在6年内逐渐降低。在完全调整模型中,每单位年度累积洪水暴露量在滞后0至6年期间增加,任何痴呆症的累积比值比(OR)为1.28(95%置信区间[CI]:1.25-1.31),阿尔茨海默病为1.44(95%CI:1.36-1.53),血管性痴呆为1.65(95%CI:1.48-1.83)。与65岁及以上人群(OR:1.25,95%CI:1.21-1.28)和男性参与者(OR:1.26,95%CI:1.23-1.30)相比,65岁以下参与者(OR:1.39,95%CI:1.33-1.46)和女性参与者(OR:1.41,95%CI:1.33-1.49)新发痴呆症的风险更高。在根据遗传因素对阿尔茨海默病进行的分层分析中观察到类似的效应估计值。
本研究提供了有力的流行病学证据,支持洪水与痴呆症风险增加之间的联系。这些发现加深了对洪水暴露长期后果的理解。