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Mapping the determinants of health inequalities in social space: can Bourdieu help us? [An article from: Health and Place]
Book Details
Author(s)A.C. Gatrell, J. Popay, C. Thomas
PublisherElsevier
ISBN / ASINB000RR1GZ4
ISBN-13978B000RR1GZ9
AvailabilityAvailable for download now
Sales Rank12,347,665
MarketplaceUnited States 🇺🇸
Description
This digital document is a journal article from Health and Place, published by Elsevier in 2004. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
Considerable research effort has been devoted to describing and explaining, at a variety of spatial scales, geographical inequalities in health outcomes within the developed world. Following Bourdieu, we argue that structures of the social world may be revealed in different kinds of 'social' space. We outline the relational thinking that underlies these ideas. We then 'map', using correspondence analysis (on which Bourdieu himself drew), the structure of social space according to the differential availability of some forms of capital, across four study areas in north-west England. We use logistic regression analysis to explain variation in psychological morbidity (GHQ-score) and then portray the significant predictors of morbidity using multiple correspondence analysis. The area of residence of the survey respondents is used to associate them with particular locations in these social spaces.
Description:
Considerable research effort has been devoted to describing and explaining, at a variety of spatial scales, geographical inequalities in health outcomes within the developed world. Following Bourdieu, we argue that structures of the social world may be revealed in different kinds of 'social' space. We outline the relational thinking that underlies these ideas. We then 'map', using correspondence analysis (on which Bourdieu himself drew), the structure of social space according to the differential availability of some forms of capital, across four study areas in north-west England. We use logistic regression analysis to explain variation in psychological morbidity (GHQ-score) and then portray the significant predictors of morbidity using multiple correspondence analysis. The area of residence of the survey respondents is used to associate them with particular locations in these social spaces.
