{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,14]],"date-time":"2026-06-14T22:42:27Z","timestamp":1781476947363,"version":"3.54.1"},"reference-count":29,"publisher":"BMJ","issue":"7","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Occup Environ Med"],"published-print":{"date-parts":[[2007,7]]},"abstract":"<jats:p><jats:bold>Objectives:<\/jats:bold>To evaluate the prevalence of perception and annoyance due to wind turbine noise among people living near the turbines, and to study relations between noise and perception\/annoyance, with focus on differences between living environments.<\/jats:p><jats:p><jats:bold>Methods:<\/jats:bold>A cross-sectional study was carried out in seven areas in Sweden across dissimilar terrain and different degrees of urbanisation. A postal questionnaire regarding living conditions including response to wind turbine noise was completed by 754 subjects. Outdoor A-weighted sound pressure levels (SPLs) were calculated for each respondent. Perception and annoyance due to wind turbine noise in relation to SPLs was analysed with regard to dissimilarities between the areas.<\/jats:p><jats:p><jats:bold>Results:<\/jats:bold>The odds of perceiving wind turbine noise increased with increasing SPL (OR 1.3; 95% CI 1.25 to 1.40). The odds of being annoyed by wind turbine noise also increased with increasing SPLs (OR 1.1; 95% CI 1.01 to 1.25). Perception and annoyance were associated with terrain and urbanisation: (1) a rural area increased the risk of perception and annoyance in comparison with a suburban area; and (2) in a rural setting, complex ground (hilly or rocky terrain) increased the risk compared with flat ground. Annoyance was associated with both objective and subjective factors of wind turbine visibility, and was further associated with lowered sleep quality and negative emotions.<\/jats:p><jats:p><jats:bold>Conclusion:<\/jats:bold>There is a need to take the unique environment into account when planning a new wind farm so that adverse health effects are avoided. The influence of area-related factors should also be considered in future community noise research.<\/jats:p>","DOI":"10.1136\/oem.2006.031039","type":"journal-article","created":{"date-parts":[[2007,3,2]],"date-time":"2007-03-02T04:03:26Z","timestamp":1172808206000},"page":"480-486","source":"Crossref","is-referenced-by-count":217,"title":["Wind turbine noise, annoyance and self-reported health and well-being in different living environments"],"prefix":"10.1136","volume":"64","author":[{"given":"Eja","family":"Pedersen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kerstin","family":"Persson Waye","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"239","published-online":{"date-parts":[[2007,3,1]]},"reference":[{"key":"2024052223302770000_64.7.480.1","doi-asserted-by":"publisher","DOI":"10.1016\/S1364-0321(00)00004-6"},{"key":"2024052223302770000_64.7.480.2","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2005.10.005"},{"key":"2024052223302770000_64.7.480.3","doi-asserted-by":"crossref","unstructured":"Zwicker E, Fastl H. 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Dokumentation der Zusatzerhebungen zur UVE der Eisenbahnachse Brenner \u2013 Zulaufstrecke Nord Unteres Inntal \u2013 f\u00fcr den Teilbereich Hygiene und Gesundheit (Documentation of investigations regarding the UVE (Environmental Impact Assessment) of the Brenner railway - Northern part: Lower Inntal - with regard to hygiene and health) [In German]. Innsbruck, Austria: Institut f\u00fcr Hygiene und Sozialmedizin, & Bundesministerium f\u00fcr Verkehr, Innovation und Technologie (CD-ROM), August 2001; (printed version)."},{"key":"2024052223302770000_64.7.480.8","unstructured":"Swedish Environmental Protection Agency. Ljud fr\u00e5n vindkraftverk (Noise from wind turbines), Report 6241 [In Swedish]. Stockholm :2001."},{"key":"2024052223302770000_64.7.480.9","unstructured":"Bass JH, Bullmore AJ, Sloth E. Development of a wind farm noise propagation prediction model. 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