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Michael Tjepkema

Researcher at Statistics Canada

Publications -  95
Citations -  4647

Michael Tjepkema is an academic researcher from Statistics Canada. The author has contributed to research in topics: Population & Cohort. The author has an hindex of 29, co-authored 84 publications receiving 3398 citations. Previous affiliations of Michael Tjepkema include University of New Brunswick & Government of Canada.

Papers
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Journal ArticleDOI

Global estimates of mortality associated with long-term exposure to outdoor fine particulate matter

Richard T. Burnett, +54 more
TL;DR: PM2.5 exposure may be related to additional causes of death than the five considered by the GBD and that incorporation of risk information from other, nonoutdoor, particle sources leads to underestimation of disease burden, especially at higher concentrations.
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Mortality among residents of shelters, rooming houses, and hotels in Canada: 11 year follow-up study

TL;DR: Reducing the excessively high rates of premature mortality in this population would require interventions to address deaths related to smoking, alcohol, and drugs, and mental disorders and suicide, among other causes.
Journal Article

Health care use among gay, lesbian and bisexual Canadians.

TL;DR: Gay men, lesbians and bisexual people were more likely than heterosexuals to consult mental health service providers and were less likely to have had a Pap test, compared with heterosexual women.
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Risk estimates of mortality attributed to low concentrations of ambient fine particulate matter in the Canadian community health survey cohort

TL;DR: Increased risks of non-accidental, circulatory, and respiratory mortality were observed even at very low concentrations of ambient PM2.5, and HRs were generally greater than most literature values, and adjusting for behavioural covariates served to reduce HR estimates slightly.
Journal Article

The Canadian census mortality follow-up study, 1991 through 2001.

TL;DR: The methods used to link census data from the long-form questionnaire to mortality data reveal a stair-stepped gradient, with bigger steps near the bottom of the socio-economic hierarchy.