Roos Leslie L, Magoon Jennifer, Château Dan
Professor, Manitoba Centre for Health Policy, Department of Community Health Sciences, University of Manitoba, Winnipeg, MB.
Healthc Policy. 2010 Aug;6(1):47-63.
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.
来自1996/97年加拿大全国人口健康调查的8032名曼尼托巴省受访者的数据与1996年人口普查数据相链接，以研究自我报告和客观确定的发病率指标是否受到邻里环境的影响。一旦将年龄、性别、吸烟状况、糖尿病、体重指数和个人收入纳入个体和多层次回归模型，各种邻里特征的影响就会减弱，且在相对较少的情况下具有显著性。对于基于一两个因变量的研究进行推广时，绝对需要谨慎。微弱的关系可能会导致关于邻里效应重要性的相互矛盾的结果。
