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Pathways to obesity: Identifying local, modifiable determinants of physical activity and diet

Listed author(s):
  • Stafford, Mai
  • Cummins, Steven
  • Ellaway, Anne
  • Sacker, Amanda
  • Wiggins, Richard D.
  • Macintyre, Sally

Many studies document small area inequalities in morbidity and mortality and show associations between area deprivation and health. However, few studies unpack the "black box" of area deprivation to show which specific local social and physical environmental characteristics impact upon health, and might be amenable to modification. We theorised a model of the potential causal pathways to obesity and employed path analysis using a rich data set from national studies in England and Scotland to test the model empirically. Significant associations between obesity and neighbourhood disorder and access to local high street facilities (local shops, financial services and health-related stores found in a typical small UK town) were found. There was a tendency for lower levels of obesity in areas with more swimming pools and supermarkets. In turn, policing levels, physical dereliction and recorded violent crime were associated with neighbourhood disorder. The analysis identifies several factors that are associated with (and are probably determinants of) obesity and which are outside the standard remit of the healthcare sector. They highlight the role that public and private sector organisations have in promoting the nation's health. Public health professionals should seek to work alongside or within these organisations to capitalise on opportunities to improve health.

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File URL: http://www.sciencedirect.com/science/article/pii/S0277-9536(07)00304-8
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Article provided by Elsevier in its journal Social Science & Medicine.

Volume (Year): 65 (2007)
Issue (Month): 9 (November)
Pages: 1882-1897

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Handle: RePEc:eee:socmed:v:65:y:2007:i:9:p:1882-1897
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  16. Franzini, Luisa & Caughy, Margaret & Spears, William & Eugenia Fernandez Esquer, Maria, 2005. "Neighborhood economic conditions, social processes, and self-rated health in low-income neighborhoods in Texas: A multilevel latent variables model," Social Science & Medicine, Elsevier, vol. 61(6), pages 1135-1150, September.
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