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

Record type: Article

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.

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Citation

Twigg, L and Moon, G (2002) Predicting small area health-related behaviour: a comparison of multilevel synthetic estimation and local survey data Social Science & Medicine, 54, (6), pp. 931-937. (doi:10.1016/S0277-9536(01)00065-X).

More information

Published date: 6 March 2002
Keywords: smoking, drinking, synthetic estimation, multilevel models, health survey for England
Organisations: Economy Culture & Space, PHEW – P (Population Health)

Identifiers

Local EPrints ID: 55383
URI: http://eprints.soton.ac.uk/id/eprint/55383
ISSN: 0277-9536
PURE UUID: eb6851c6-2427-413a-a76c-d801961f93ef
ORCID for G Moon: ORCID iD orcid.org/0000-0002-7256-8397

Catalogue record

Date deposited: 31 Jul 2008
Last modified: 17 Jul 2017 14:33

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