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While some studies and media reports suggest that wind turbines may contribute to sleep disturbances, anxiety, and even suicide, existing evidence remains limited and inconclusive. This study combines geolocated data on turbines from the US Wind Turbine Database with longitudinal survey data on over 120,000 households (2011\u20132023) and consumer purchasing records to assess whether proximity to wind turbines affects mental and physical health. We examine a wide range of outcomes, including depression, anxiety, sleep disorders, headaches, and use of sleep aids and painkillers. Comparing households before and after nearby turbine installations, we find no detectable adverse health effects from turbine exposure at typical exposure distances. While we cannot rule out small effects, our CIs exclude moderate-to-large impacts, suggesting that fears about substantial health impacts are not borne out in population-level data. Other disamenities such as noise, shadow flicker, and visual intrusion may still affect quality of life even absent measurable health impacts.<\/jats:p>","DOI":"10.1073\/pnas.2525715123","type":"journal-article","created":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T16:04:32Z","timestamp":1779206672000},"update-policy":"https:\/\/doi.org\/10.1073\/pnas.cm10313","source":"Crossref","is-referenced-by-count":1,"title":["Wind turbine proximity and health: Longitudinal evidence from US households"],"prefix":"10.1073","volume":"123","author":[{"given":"Niklas","family":"Rott","sequence":"first","affiliation":[{"id":[{"id":"https:\/\/ror.org\/03p14d497","id-type":"ROR","asserted-by":"publisher"}],"name":"Faculty of Business and Economics, University of Augsburg","place":["Augsburg, Germany"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1377-1982","authenticated-orcid":false,"given":"Douglas","family":"Almond","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/00hj8s172","id-type":"ROR","asserted-by":"publisher"}],"name":"Department of Economics, Columbia University","place":["New York"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8690-980X","authenticated-orcid":false,"given":"Osea","family":"Giuntella","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/01an3r305","id-type":"ROR","asserted-by":"publisher"}],"name":"Department of Economics, University of Pittsburgh","place":["Pittsburgh"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"341","published-online":{"date-parts":[[2026,5,19]]},"reference":[{"key":"e_1_3_4_1_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.enpol.2010.11.040"},{"key":"e_1_3_4_2_2","unstructured":"International Energy Agency \u201cWorld Energy Outlook 2020\u201d (IEA Paris 2020). https:\/\/www.iea.org\/reports\/world-energy-outlook-2020. 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U.S. Geological Survey. https:\/\/eerscmap.usgs.gov\/uswtdb\/. Accessed 29 April 2026."},{"key":"e_1_3_4_47_2","unstructured":"U.S. Environmental Protection Agency Outdoor Air Quality Data. U.S. EPA. https:\/\/www.epa.gov\/outdoor-air-quality-data. Accessed 29 April 2026."},{"key":"e_1_3_4_48_2","unstructured":"NielsenIQ NielsenIQ Consumer Panel and Ailments Survey. Kilts Center for Marketing University of Chicago Booth School of Business. https:\/\/www.chicagobooth.edu\/research\/kilts\/datasets\/nielseniq-nielsen. Accessed 29 April 2026."},{"key":"e_1_3_4_49_2","doi-asserted-by":"crossref","unstructured":"N. Rott D. Almond O. Giuntella Replication code for \u201cWind turbine proximity and health: Longitudinal evidence from US households.\u201d Open Science Framework. https:\/\/osf.io\/gavjr\/overview. 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