Abstract
In public health, it has long been observed that "place"—specifically, where one lives—affects individual health, with the main research question distinguishing between the effects of "context" (defined as area characteristics) and "composition" (the characteristics of inhabitants) on health outcomes. There have been many studies in which the spatial patterning of disease has been explored, but they were often ecological in design, used broad census geographic levels, lacked individual-level data, or when available, did not simultaneously analyze community- and individual-level risk factors using appropriate modeling techniques. The paper by Diez-Roux et al. (Am J Epidemiol. 1997;146(1):48–63) represents an important expansion of the literature in terms of analytic methods used and level of geography studied. The authors demonstrated that both neighborhood- and individual-level measures of socioeconomic status work together to play an important role in shaping disease risk. Analyses incorporating both levels of data have the potential to provide epidemiologists with a deeper understanding of the divergent pathways via which neighborhood affects health.http://ift.tt/2rm1FDj
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