Show simple item record

Files in this item

Thumbnail

Item metadata

dc.contributor.authorClemens, T.
dc.contributor.authorDibben, C.
dc.date.accessioned2014-05-14T10:31:04Z
dc.date.available2014-05-14T10:31:04Z
dc.date.issued2014-04-28
dc.identifier.citationClemens , T & Dibben , C 2014 , ' A method for estimating wage, using standardised occupational classifications, for use in medical research in the place of self-reported income ' , BMC Medical Research Methodology . https://doi.org/10.1186/1471-2288-14-59en
dc.identifier.issn1471-2288
dc.identifier.otherPURE: 118393561
dc.identifier.otherPURE UUID: 9f6bc0ae-3f47-44f3-85e0-6e166c6fec62
dc.identifier.otherScopus: 84900445464
dc.identifier.otherWOS: 000335462400001
dc.identifier.urihttp://hdl.handle.net/10023/4784
dc.description.abstractBackground: Income is predictive of many health outcomes and is therefore an important potential confounder to control for in studies. However it is often missing or poorly measured in epidemiological studies because of its complexity and sensitivity. This paper presents and validates an alternative approach to the survey collection of reported income through the estimation of a synthetic wage measure based on occupation. Methods: A synthetic measure of weekly wage was calculated using a multilevel random effects model of wage predicted by a Standard Occupational Classification (SOC) fitted in data from the UK Labour Force Survey (years 2001-2010)a. The estimates were validated and tested by comparing them to reported income and then contrasting estimated and reported income's association with measures of health in the Scottish Health Survey (SHS) 2003 and wave one (2009) of the UK Household Longitudinal Study (UKHLS). Results: The synthetic estimates provided independent and additional explanatory power within models containing other traditional proxies for socio-economic position such as social class and small area based measures of socio-economic position. The estimates behaved very similarly to 'real', reported measures of both household and individual income when modelling a measure of 'general health'. Conclusions: The findings suggest that occupation based synthetic estimates of wage are as effective in capturing the underlying relationship between income and health as survey reported income. The paper argues that the direct survey measurement of income in every study may not actually be necessary or indeed optimal.
dc.format.extent8
dc.language.isoeng
dc.relation.ispartofBMC Medical Research Methodologyen
dc.rights© 2014 Clemens and Dibben; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.en
dc.subjectIncomeen
dc.subjectSynthetic dataen
dc.subjectStandard occupational classificationen
dc.subjectGeneral healthen
dc.subjectSocial surveyen
dc.subjectR Medicine (General)en
dc.subject.lccR1en
dc.titleA method for estimating wage, using standardised occupational classifications, for use in medical research in the place of self-reported incomeen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.Geography & Sustainable Developmenten
dc.contributor.institutionUniversity of St Andrews.St Andrews Sustainability Instituteen
dc.identifier.doihttps://doi.org/10.1186/1471-2288-14-59
dc.description.statusPeer revieweden


This item appears in the following Collection(s)

Show simple item record