住房对健康的影响:一项来自加拿大北极的生态学研究。

Arctic medical research Pub Date : 1996-04-01
T K Young, C J Mollins
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引用次数: 0

摘要

目标和方法:利用一项住房调查数据和定期向各服务提供机构报告的有关身体和社会健康的数据,在加拿大北极地区西北地区(NWT)的49个主要土著社区进行了一项生态学研究,调查住房与健康之间的关系。结果:作为衡量发病率的一项指标,到保健中心就诊的比率与大多数住房和社会经济地位(SES)指标相关。住房和社会经济状况较差的社区到保健中心就诊的比率较高。采用因子分析方法,构建复合房屋和SES指标。住房与任何结果变量的相关性都很差,而社会经济状况与健康中心就诊密切相关,与火灾发生的相关性中等。社会经济状况较差的社区更有可能有更高的健康中心就诊率,但在火灾中观察到相反的效果。当住房和社会经济状况指数都纳入多元回归模型时,社会经济状况是预测保健中心就诊率和火灾率的更强因素。这些变量与被判刑入狱的频率之间不存在显著关联。结论:西北地区住房质量的改善可能消除了许多差距,也许消除了最明显的产生疾病的住房特征。然而,通过补贴改善住房并不能改变社会经济地位的其他组成部分,如教育、就业和收入。社会经济地位对健康和社会福利的重要性是众所周知的,在西北地区也得到了证明。这项研究还表明,生态分析可以为公共卫生政策提供相对快速和有用的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The impact of housing on health: an ecologic study from the Canadian Arctic.

Objectives and method: An ecologic study was conducted to investigate the association between housing and health in 49 predominantly Native communities in the Northwest Territories (NWT) in the Canadian Arctic, making use of data from a housing survey and data relating to physical and social health routinely reported to various service delivery agencies.

Results: The rate of health centre visits, as a measure of morbidity, correlated with most housing and socioeconomic status (SES) indicators. Communities with worse housing and SES were found to have a higher rate of health centre visits. Using factor analysis, composite housing and SES indicators were constructed. Housing was poorly correlated with any of the outcome variables, whereas SES was strongly correlated with health centre visits and moderately correlated with the occurrence of fires. Communities with worse SES were more likely to have a higher rate of health centre visits but the opposite effect was observed with fires. When both housing and SES indices were included in a multiple regression model, SES was the stronger factor in predicting the rate of health centre visits and fires. No significant association exists between these variables and the frequency of sentenced admissions.

Conclusions: It is possible that improvement in housing quality in the NWT may have eliminated much disparity and perhaps removed most obvious illness-generating housing features. Improved housing through subsidies, however, does not alter other components of SES such as education, employment and income. The importance of SES in health and social well-being is well known and is demonstrated in the NWT as well. This study also shows that ecologic analyses can provide relatively quick and useful data for public health policy.

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