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Predicting small area health-related behaviour: a comparison of multilevel synthetic estimation and local survey data

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  • Twigg, Liz
  • Moon, Graham

Abstract

A recent paper in Social Science and Medicine (Twigg et al. 50 (2000) 1109) outlined an approach to the estimation of prevalences of small-area health-related behaviour using multilevel models. This paper compares results from the application of the multilevel approach with those derived using the more traditional strategy of the local 'lifestyle' survey. Estimations of smoking prevalence and high alcohol consumption are examined and critical assessments made of both estimation approaches. It is concluded that the alternative method is more suited towards the prediction of smoking rates as opposed to unsafe alcohol consumption.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:socmed:v:54:y:2002:i:6:p:931-937
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    Citations

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    Cited by:

    1. Gill Rowlands & David Whitney & Graham Moon, 2018. "Developing and Applying Geographical Synthetic Estimates of Health Literacy in GP Clinical Systems," IJERPH, MDPI, vol. 15(8), pages 1-8, August.
    2. Kerstin Hermes & Michael Poulsen, 2013. "The Intraurban Geography of Generalised Trust in Sydney," Environment and Planning A, , vol. 45(2), pages 276-294, February.
    3. Martin, David & Wright, James A., 2009. "Disease prevalence in the English population: A comparison of primary care registers and prevalence models," Social Science & Medicine, Elsevier, vol. 68(2), pages 266-274, January.
    4. Liz Twigg & Steve Barnard & John Mohan & Kelvyn Jones, 2006. "Developing and Evaluating Small-Area Indicators of the Neighbourhood Social Environment," Environment and Planning A, , vol. 38(11), pages 2173-2192, November.
    5. Moon, Graham & Twigg, Liz & Jones, Kelvyn & Aitken, Grant & Taylor, Joanna, 2019. "The utility of geodemographic indicators in small area estimates of limiting long-term illness," Social Science & Medicine, Elsevier, vol. 227(C), pages 47-55.
    6. Moon, Graham & Quarendon, Gemma & Barnard, Steve & Twigg, Liz & Blyth, Bill, 2007. "Fat nation: Deciphering the distinctive geographies of obesity in England," Social Science & Medicine, Elsevier, vol. 65(1), pages 20-31, July.
    7. David Manley & Kelvyn Jones & Ron Johnston, 2017. "The geography of Brexit – What geography? Modelling and predicting the outcome across 380 local authorities," Local Economy, London South Bank University, vol. 32(3), pages 183-203, May.

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