© 2003 BMJ Publishing Group
RESEARCH REPORT
Effects of income and wealth on GHQ depression and poor self rated health in white collar women and men in the Whitehall II study
1 International Centre for Health and Society, Department of Epidemiology and Public Health, University College London Medical School and International Centre for Health and Society, London, UK
2 Population Research Unit, Department of Sociology, University of Helsinki, Finland
3 Department of Economics, University College London, London, UK
4 Department of Social Medicine, University of Bristol, Bristol, UK
Correspondence to:
Correspondence to:
Dr P Martikainen, International Centre for Health and Society, Department of Epidemiology and Public Health, University College London Medical School, 119 Torrington Place, London WC1E 6BT, UK;
p.martikainen{at}public-health.ucl.ac.uk
Study objective: To determine whether measures of income and wealth are associated with poor self rated health and GHQ depression.
Design: Whitehall II study of London based civil servants re-interviewed between 19971999; 7162 participants.
Main results: A twofold age adjusted difference in morbidity was observed between the top and bottom of the personal income hierarchy for both sexes. For household income and particularly for wealth these associations are stronger. After adjusting for health at baseline the associations between personal income and both health outcomes are reduced by about 40%60%. For household income the attenuation is somewhat smaller and for wealth is about 30%. Adjusting for other sociodemographic factors leads to further attenuation of the effects.
Conclusions: The associations between income, particularly personal income, and morbidity can be largely accounted for by pre-existing health and other measures of social position. The strong independent association between household wealtha measure of income earned over decades and across generationsand morbidity are likely to be related to a set of early and current material and psychosocial benefits.
Keywords: health; income; wealth; white collar; cross sectional
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