T
Tor H. Oiamo
Researcher at Ryerson University
Publications - 23
Citations - 386
Tor H. Oiamo is an academic researcher from Ryerson University. The author has contributed to research in topics: Noise & Environmental noise. The author has an hindex of 10, co-authored 22 publications receiving 274 citations. Previous affiliations of Tor H. Oiamo include University of Western Ontario.
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Journal ArticleDOI
Association Between Road Traffic Noise and Incidence of Diabetes Mellitus and Hypertension in Toronto, Canada: A Population-Based Cohort Study.
Saeha Shin,Li Bai,Tor H. Oiamo,Richard T. Burnett,Scott Weichenthal,Scott Weichenthal,Michael Jerrett,Jeffrey C. Kwong,Mark S. Goldberg,Mark S. Goldberg,Ray Copes,Alexander Kopp,Hong Chen +12 more
TL;DR: Long‐term exposure to road traffic noise was associated with an increased incidence of diabetes mellitus and hypertension in Toronto.
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Cumulative effects of noise and odour annoyances on environmental and health related quality of life.
TL;DR: Noise annoyance had a significant and negative effect on both mental and physical health factors of the SF-12 and there was a significant covariance between noise annoyance and odour annoyance, which confirmed a significant effect of psychological responses to cumulative exposures on HRQoL.
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Assessing traffic and industrial contributions to ambient nitrogen dioxide and volatile organic compounds in a low pollution urban environment.
TL;DR: The strong contribution of industrial point sources to VOC distributions in Ottawa suggests that facility emission data should be considered whenever possible and suggests that proximity to road network intersections may be an effective proxy in areas where reliable traffic data is not available.
Journal ArticleDOI
Extricating Sex and Gender in Air Pollution Research: A Community-Based Study on Cardinal Symptoms of Exposure
Tor H. Oiamo,Isaac Luginaah +1 more
TL;DR: The results confirmed previous research that found pre-existing health conditions to increase susceptibility to ambient air pollution, but additionally indicated that stronger effects on females is partly due to autoimmune disorders.
Journal ArticleDOI
Comparison of land use regression and random forests models on estimating noise levels in five Canadian cities.
Ying Liu,Sophie Goudreau,Tor H. Oiamo,Daniel Rainham,Marianne Hatzopoulou,Hong Chen,Hugh W. Davies,Mathieu Tremblay,James Johnson,Annelies Bockstael,Tony Leroux,Audrey Smargiassi +11 more
TL;DR: Noise levels were higher in Montreal and Longueuil than in other major Canadian cities and the cross-validation indicated the RF models had better general performance than the LUR models at the city scale.