Claire Dinehart, Scott W. Delaney, Lauren Mock, Brad A. Racette, Gary W. Miller, Marianthi-Anna Kioumourtzoglou, Danielle Braun, Antonella Zanobetti, Daniel Mork
{"title":"Extreme heat and hospitalization with Parkinson’s disease among older adults","authors":"Claire Dinehart, Scott W. Delaney, Lauren Mock, Brad A. Racette, Gary W. Miller, Marianthi-Anna Kioumourtzoglou, Danielle Braun, Antonella Zanobetti, Daniel Mork","doi":"10.1038/s41370-026-00882-7","DOIUrl":null,"url":null,"abstract":"The projected rise in U.S. Parkinson’s Disease (PD) cases makes understanding risk factors crucial to plan for changing healthcare utilization patterns. Factors such as extreme heat exacerbated by shifts in regional climate conditions may present additional risks among the PD population. We aim to determine whether nationwide and climate region-specific acute heat index exposure is associated with increased rates of hospitalizations with PD among the Medicare population. We follow a time-stratified case-crossover study design for a population of Medicare fee-for-service beneficiaries within the contiguous U.S. hospitalized between 1 January 2000 and 31 December 2016. The exposure of interest is the daily maximum heat index during the warm season (May–September), converted to percentiles using climate region-specific warm season heat index distributions. We used distributed lag models to estimate the immediate and lagged associations of heat index on hospitalization with PD. Our sample included 427,813 individuals (89.3% White, 47.7% female, mean age 79.8). In nationwide analyses, the odds ratio (OR) of hospitalization with PD comparing days in the 99th versus 50th percentile of the heat index distribution was 1.010 (95% CI 1.002, 1.017). Results suggest extreme heat effects persist 2 days beyond the initial day. The cumulative OR of hospitalization with PD after 3 days of continuous exposure (i.e., cumulative over lags 0-2) to heat indexes at the 99th versus 50th percentile was 1.022 (95% CI: 1.005, 1.039). Estimates were larger in temperate climates, while tropical, arid, and continental regions showed varying impacts with non-significant associations. High heat index exposure is associated with increased odds of hospitalization with PD amongst older adults, particularly those living in temperate climates in the US South. These results may inform both medical practice and policy through crafting PD-patient-centered hotweather advice and via the issuance of local and state extreme heat advisories.","PeriodicalId":15684,"journal":{"name":"Journal of Exposure Science and Environmental Epidemiology","volume":"36 5","pages":"974-982"},"PeriodicalIF":5.9000,"publicationDate":"2026-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13335889/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Exposure Science and Environmental Epidemiology","FirstCategoryId":"3","ListUrlMain":"https://www.nature.com/articles/s41370-026-00882-7","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
The projected rise in U.S. Parkinson’s Disease (PD) cases makes understanding risk factors crucial to plan for changing healthcare utilization patterns. Factors such as extreme heat exacerbated by shifts in regional climate conditions may present additional risks among the PD population. We aim to determine whether nationwide and climate region-specific acute heat index exposure is associated with increased rates of hospitalizations with PD among the Medicare population. We follow a time-stratified case-crossover study design for a population of Medicare fee-for-service beneficiaries within the contiguous U.S. hospitalized between 1 January 2000 and 31 December 2016. The exposure of interest is the daily maximum heat index during the warm season (May–September), converted to percentiles using climate region-specific warm season heat index distributions. We used distributed lag models to estimate the immediate and lagged associations of heat index on hospitalization with PD. Our sample included 427,813 individuals (89.3% White, 47.7% female, mean age 79.8). In nationwide analyses, the odds ratio (OR) of hospitalization with PD comparing days in the 99th versus 50th percentile of the heat index distribution was 1.010 (95% CI 1.002, 1.017). Results suggest extreme heat effects persist 2 days beyond the initial day. The cumulative OR of hospitalization with PD after 3 days of continuous exposure (i.e., cumulative over lags 0-2) to heat indexes at the 99th versus 50th percentile was 1.022 (95% CI: 1.005, 1.039). Estimates were larger in temperate climates, while tropical, arid, and continental regions showed varying impacts with non-significant associations. High heat index exposure is associated with increased odds of hospitalization with PD amongst older adults, particularly those living in temperate climates in the US South. These results may inform both medical practice and policy through crafting PD-patient-centered hotweather advice and via the issuance of local and state extreme heat advisories.
期刊介绍:
Journal of Exposure Science and Environmental Epidemiology (JESEE) aims to be the premier and authoritative source of information on advances in exposure science for professionals in a wide range of environmental and public health disciplines.
JESEE publishes original peer-reviewed research presenting significant advances in exposure science and exposure analysis, including development and application of the latest technologies for measuring exposures, and innovative computational approaches for translating novel data streams to characterize and predict exposures. The types of papers published in the research section of JESEE are original research articles, translation studies, and correspondence. Reported results should further understanding of the relationship between environmental exposure and human health, describe evaluated novel exposure science tools, or demonstrate potential of exposure science to enable decisions and actions that promote and protect human health.