Individuals and their ecologies: analysing the geography of chronic illness within a multilevel modelling framework

被引:181
作者
Jones, Kelvyn [1 ]
Duncan, Craig [1 ]
机构
[1] Univ Portsmouth, Dept Geog, Portsmouth PO1 3HE, Hants, England
关键词
chronic illness; multilevel models; ecological analysis; contextual effects; geographical differences;
D O I
10.1016/1353-8292(95)00004-6
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
This paper argues for the importance of place differences in understanding chronic illness. A conceptual distinction is drawn between individual and ecological effects and it is argued that aggregate analysis provides an inappropriate methodology for studying place differences. Multilevel modelling, in contrast, allows For the simultaneous analysis of individuals and their ecologies. This approach is applied to data derived from a nationally representative sample of over 9 000 United Kingdom individuals in nearly 400 places.
引用
收藏
页码:27 / 40
页数:14
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