Estimating the Effects of Hypothetical Ambient PM2.5 Interventions on the Risk of Dementia Using the Parametric g-Formula in the UK Biobank Cohort.

IF 10.1 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Environmental Health Perspectives Pub Date : 2025-04-01 Epub Date: 2025-04-16 DOI:10.1289/EHP14723
Chengyi Lin, Riyang Liu, Caroline Sutton, Andrew T DeWan, Laura Forastiere, Kai Chen
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引用次数: 0

Abstract

Background: Emerging evidence identifies ambient particulate matter (PM) with an aerodynamic diameter 2.5μm (PM2.5) as a modifiable risk factor for dementia, but the potential health benefits gained by enacting regulations that reduce PM2.5 remain unclear.

Objectives: Our aim was to estimate the total effects of hypothetical ambient PM2.5 interventions starting in late life on the risk of dementia in a cohort using the parametric g-formula.

Methods: We used data from 291,495 participants in the UK Biobank cohort who were free of dementia and 55 y of age at baseline (2010). We estimated the total effects of hypothetical ambient PM2.5 interventions (achieving annual average standards of 12μg/m3, 10μg/m3, and 9μg/m3) from 2010 to 2019 on the risk of dementia by calculating the difference between the estimated 10-y risk of dementia under a specified hypothetical intervention and the risk under no intervention using the parametric g-formula.

Results: In comparison with no intervention, the estimated 10-y risk difference of dementia was -0.54 per 1,000 population [95% confidence interval (CI): -1.00, -0.10], -1.36 per 1,000 population (95% CI: -2.44, -0.25), -1.92 per 1,000 population (95% CI: -3.39, -0.33), with PM2.5 interventions achieving annual average standards of 12μg/m3, 10μg/m3, and 9μg/m3, respectively.

Discussion: The estimated 10-y risk of dementia decreased if the individual ambient PM2.5 exposure was reduced due to more stringent PM2.5 standards in late life in comparison with the natural course without intervention on ambient PM2.5 exposure. Our findings, obtained using the parametric g-formula-a causal inference method that can directly evaluate the impact of hypothetical interventions-suggest that policies reducing ambient PM2.5 pollution may lower the risk of dementia among UK Biobank participants who would experience more stringent ambient PM2.5 standards in late life. https://doi.org/10.1289/EHP14723.

在英国生物银行队列中,使用参数g公式估计假设的环境PM2.5干预对痴呆风险的影响。
背景:新出现的证据表明,空气动力学直径≤2.5μm (PM2.5)的环境颗粒物是痴呆症的一个可改变的危险因素,但通过制定减少PM2.5的法规获得的潜在健康益处尚不清楚。目的:我们的目的是使用参数g公式估计从晚年开始的假设环境PM2.5干预对队列中痴呆风险的总影响。方法:我们使用来自英国生物银行队列的291495名参与者的数据,这些参与者无痴呆,基线年龄≥55岁(2010年)。通过使用参数g公式计算特定假设干预下的10年痴呆风险与未干预下的风险之差,我们估计了2010年至2019年假设环境PM2.5干预(达到12 μg/m3、10 μg/m3和9 μg/m3的年平均标准)对痴呆风险的总影响。结果:与未干预相比,PM2.5干预的年平均标准分别为12 μg/m3、10 μg/m3和9 μg/m3,痴呆的10年风险差值分别为-0.54 / 1000人(95%CI: -1.00, -0.10)、-1.36 / 1000人(95%CI: -2.44, -0.25)和-1.92 / 1000人(95%CI: -3.39, -0.33)。讨论:与不干预环境PM2.5暴露的自然过程相比,如果晚年更严格的PM2.5标准降低了个体环境PM2.5暴露,那么估计的10年痴呆症风险就会降低。我们使用参数g公式(一种可以直接评估假设干预措施影响的因果推理方法)获得的研究结果表明,减少环境PM2.5污染的政策可能会降低英国生物银行参与者患痴呆症的风险,这些参与者在晚年将经历更严格的环境PM2.5标准。https://doi.org/10.1289/EHP14723。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Environmental Health Perspectives
Environmental Health Perspectives 环境科学-公共卫生、环境卫生与职业卫生
CiteScore
14.40
自引率
2.90%
发文量
388
审稿时长
6 months
期刊介绍: Environmental Health Perspectives (EHP) is a monthly peer-reviewed journal supported by the National Institute of Environmental Health Sciences, part of the National Institutes of Health under the U.S. Department of Health and Human Services. Its mission is to facilitate discussions on the connections between the environment and human health by publishing top-notch research and news. EHP ranks third in Public, Environmental, and Occupational Health, fourth in Toxicology, and fifth in Environmental Sciences.
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