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Cited by 1,059

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Area, Class and Health: Should we be Focusing on Places or People?

Macintyre, Sally, Maciver, Sheila, Sooman, Anne·1993·Journal of Social Policy

Abstract

In Britain there has been a long tradition of research into associations between area of residence and health. Rarely has this involved investigating socio-economic or cultural features of areas that might influence health; usually studies use area level data, for example about specific pathogens or about levels of deprivation, as surrogates for individual level data, rather than being interested in the areas themselves. This paper reviews the literature on the relationship between area and health. It advocates directly studying features of the local social and physical environment which might promote or inhibit health, illustrating this approach with some findings from a study in the West of Scotland, and suggests that improvements in public health might be achieved by focusing on places as well as on people.

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Crossref · 10.1017/s0047279400019310

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Metadata

Authors
Macintyre, S., Maciver, S., & Sooman, A.
Venue
Journal of Social Policy
Published
1993-04
Volume
22
Issue
2
Pages
213-234
ISSN
  • 0047-2794 (ISSN-L)
  • 1469-7823
OpenAlex
W2113630947
Cited by
1,059
References
2
FWCI
10.84
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Area, Class and Health: Should we be Focusing on Places or People? https://app.cochat.ai/papers/10.1017/s0047279400019310
The paper
Macintyre, S., Maciver, S., & Sooman, A. (1993). Area, Class and Health: Should we be Focusing on Places or People? Journal of Social Policy. https://doi.org/10.1017/s0047279400019310

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.