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Fat nation: Deciphering the distinctive geographies of obesity in England

Listed author(s):
  • Moon, Graham
  • Quarendon, Gemma
  • Barnard, Steve
  • Twigg, Liz
  • Blyth, Bill
Registered author(s):

    Much attention is focused on obesity by both the media and by public health. As a health risk, obesity is recognised as a contributing factor to numerous health problems. Recent evidence points to a growth in levels of obesity in many countries and particular attention is usually given to rising levels of obesity among younger people. England is no exception to these generalisations with recent studies revealing a clear geography to what has been termed an 'obesity epidemic.' This paper examines the complexities inherent in the geography of adult obesity in England. Existing knowledge about the sub-national geography of obesity is examined and assessed. Multilevel synthetic estimation is then used to construct an age-sex-ethnicity disaggregated geography of obesity. These differing geographies are compared and contrasted with pre-existing findings and explored at multiple scales. A complex picture of the geography of obesity in England is revealed.

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    File URL: http://www.sciencedirect.com/science/article/pii/S0277-9536(07)00107-4
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    Article provided by Elsevier in its journal Social Science & Medicine.

    Volume (Year): 65 (2007)
    Issue (Month): 1 (July)
    Pages: 20-31

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    Handle: RePEc:eee:socmed:v:65:y:2007:i:1:p:20-31
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    1. J Charlton, 1998. "Use of the Census Samples of Anonymised Records (SARs) and Survey Data in Combination to Obtain Estimates at Local Authority Level," Environment and Planning A, , vol. 30(5), pages 775-784, May.
    2. Chou, Shin-Yi & Grossman, Michael & Saffer, Henry, 2004. "An economic analysis of adult obesity: results from the Behavioral Risk Factor Surveillance System," Journal of Health Economics, Elsevier, vol. 23(3), pages 565-587, May.
    3. Twigg, Liz & Moon, Graham, 2002. "Predicting small area health-related behaviour: a comparison of multilevel synthetic estimation and local survey data," Social Science & Medicine, Elsevier, vol. 54(6), pages 931-937, March.
    4. Twigg, Liz & Moon, Graham & Jones, Kelvyn, 2000. "Predicting small-area health-related behaviour: a comparison of smoking and drinking indicators," Social Science & Medicine, Elsevier, vol. 50(7-8), pages 1109-1120, April.
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    7. Kim, Daniel & Subramanian, S.V. & Gortmaker, Steven L. & Kawachi, Ichiro, 2006. "US state- and county-level social capital in relation to obesity and physical inactivity: A multilevel, multivariable analysis," Social Science & Medicine, Elsevier, vol. 63(4), pages 1045-1059, August.
    8. J Charlton, 1998. "Use of the Census Samples of Anonymised Records (SARs) and survey data in combination to obtain estimates at local authority level," Environment and Planning A, Pion Ltd, London, vol. 30(5), pages 775-784, May.
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