Does it Matter What You Measure? Neighbourhood Effects in a Canadian Setting

Healthcare Policy, Vol. 6, No. 1, p. 47, 2010

18 Pages Posted: 9 Jan 2012

See all articles by L. L. Roos

L. L. Roos

University of Manitoba - Manitoba Centre for Health Policy

Dan Chateau

University of Manitoba - Department of Community Health Sciences (CHS); University of Manitoba - Manitoba Centre for Health Policy

Jen Magoon

Government of Canada

Date Written: August 1, 2010

Abstract

Data from 8,032 Manitoba respondents to the 1996/97 Canadian National Population Health Survey were linked to the 1996 census to study whether measures of morbidity, both self-reported and objectively determined, were affected by neighbourhood context. Once age, gender, smoking status, diabetes, body mass index and individual income were added to individual and multi-level regression models, effects of various neighbourhood characteristics were attenuated and significant in relatively few cases. Caution is definitely called for in generalizing from studies based on one or two dependent variables. Weak relationships are likely to lead to contradictory findings with respect to the importance of neighbourhood effects.

Suggested Citation

Roos, Leslie Leon and Chateau, Dan and Magoon, Jen, Does it Matter What You Measure? Neighbourhood Effects in a Canadian Setting (August 1, 2010). Healthcare Policy, Vol. 6, No. 1, p. 47, 2010, Available at SSRN: https://ssrn.com/abstract=1982117

Leslie Leon Roos (Contact Author)

University of Manitoba - Manitoba Centre for Health Policy ( email )

University of Manitoba Bannatyne Campus
Winnipeg
Canada

Dan Chateau

University of Manitoba - Department of Community Health Sciences (CHS) ( email )

750 Bannatyne Ave
Winnipeg, R3E 0W3
Canada

University of Manitoba - Manitoba Centre for Health Policy ( email )

University of Manitoba Bannatyne Campus
Winnipeg
Canada

Jen Magoon

Government of Canada ( email )

Ottawa, Ontario K1A 0G5
Canada

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