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Katya Feder

Researcher at Health Canada

Publications -  25
Citations -  745

Katya Feder is an academic researcher from Health Canada. The author has contributed to research in topics: Noise & Audiometry. The author has an hindex of 13, co-authored 24 publications receiving 622 citations.

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Journal ArticleDOI

Exposure to wind turbine noise: Perceptual responses and reported health effects.

TL;DR: Results do not support an association between exposure to WTN up to 46 dBA and the evaluated health-related endpoints and beyond annoyance, results do notsupport an association among participants aged 18-79 years between WTN levels and these endpoints.
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Personal and situational variables associated with wind turbine noise annoyance.

TL;DR: The analysis suggests that communities are between 11 and 26 dB less tolerant ofWTN than of other transportation noise sources, and the role of community tolerance level as a complement and/or an alternative to multiple regression in predicting the prevalence of WTN annoyance is provided.
Journal Article

Prevalence of hearing loss among Canadians aged 20 to 79: Audiometric results from the 2012/2013 Canadian Health Measures Survey.

TL;DR: This analysis presents the first population-based audiometric data on the prevalence of hearing loss among the adult household population of Canada, and highlights the disparity between measured and self-reported outcomes.
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Prevalence of Hearing Loss Among a Representative Sample of Canadian Children and Adolescents, 3 to 19 Years of Age.

TL;DR: This study provides the first estimates of audiometrically measured HL prevalence among Canadian children and adolescents, and indicates that screening using self-report or proxy may not be effective in identifying individuals with mild HL.
Journal ArticleDOI

Effects of Wind Turbine Noise on Self-Reported and Objective Measures of Sleep.

TL;DR: Self-reported and objectively measured sleep outcomes consistently revealed no apparent pattern or statistically significant relationship to WTN levels, and sleep was significantly influenced by other factors, including sleep medication, other health conditions, caffeine consumption, and annoyance with blinking lights on wind turbines.