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. 2010 Aug;6(1):47-63.

Does it matter what you measure? Neighbourhood effects in a canadian setting

Leslie L Roos  1 , Jennifer Magoon, Dan Château
Affiliations

Does it matter what you measure? Neighbourhood effects in a canadian setting

Leslie L Roos et al. Healthc Policy. 2010 Aug.

Abstract
in English, French

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.

Nous avons fait le lien entre les données provenant de 8 032 répondants manitobains à l'Enquête nationale sur la santé de la population canadienne 1996/1997 et le recensement de 1996, afin de voir si les mesures de morbidité (tant autodéclarées qu'objectivement déterminées) étaient influencées par le contexte du quartier. Après avoir tenu compte de l'âge, du sexe, du tabagisme, du diabète, de l'indice de masse corporelle et du revenu individuel dans les modèles de régression multiniveau et individuelle, les effets de plusieurs caractéristiques associées au quartier se trouvent atténués et ne s'avèrent significatifs que dans relativement peu de cas. Il faut réellementêtre prudent dans les généralisations provenant d'études qui se fondent sur une ou deux variables indépendantes. La faiblesse des relations établies peut mener à des conclusions contradictoires quant à l'importance de l'effet de quartier.

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