Abstract

BackgroundThe SF-36 is one of the most widely used self-completion measures of health status. The inclusion of the SF-36 in the first Australian national household panel survey, the Household, Income and Labour Dynamics in Australia (HILDA) Survey, provides an opportunity to investigate health inequalities. In this analysis we establish the psychometric properties and criterion validity of the SF-36 HILDA Survey data and examine scale profiles across a range of measures of socio-economic circumstance.MethodsData from 13,055 respondents who completed the first wave of the HILDA Survey were analysed to determine the psychometric properties of the SF-36 and the relationship of the SF-36 scales to other measures of health, disability, social functioning and demographic characteristics.ResultsResults of principle components analysis were similar to previous Australian and international reports. Survey scales demonstrated convergent and divergent validity, and different markers of social status demonstrated unique patterns of outcomes across the scales.ConclusionResults demonstrated the validity of the SF-36 data collected during the first wave of the HILDA Survey and support its use in research examining health inequalities and population health characteristics in Australia.

Highlights

  • The SF-36 is one of the most widely used self-completion measures of health status

  • We examine the correspondence between SF-36 results from the HILDA Survey and data from another, large-scale Australian survey to assess the representativeness of the data

  • 0.82 stronger for the physical health factor. We found this pattern of results, though the relationship observed between the General Health scale and the mental health factor was at the upper end of the range of international data

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Summary

Introduction

The inclusion of the SF-36 in the first Australian national household panel survey, the Household, Income and Labour Dynamics in Australia (HILDA) Survey, provides an opportunity to investigate health inequalities In this analysis we establish the psychometric properties and criterion validity of the SF-36 HILDA Survey data and examine scale profiles across a range of measures of socioeconomic circumstance. BMC Public Health 2004, 4:44 http://www.biomedcentral.com/1471-2458/4/44 standards necessary for group comparisons, to enable profiling of functional health and well-being, and to quantify disease burden [3]. It comprises 36 items of which all but one are used to measure eight important health concepts that are frequently examined through health surveys. The eight scales yield two summary scales of health, relating to physical (the Physical Component Summary: PCS) and mental (the Mental Component Summary: MCS) functioning and well-being

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