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Assessing alternative measures of wealth in health research

Author

Listed:
  • Cubbin, C.
  • Pollack, C.
  • Flaherty, B.
  • Hayward, M.
  • Sania, A.
  • Vallone, D.
  • Braveman, P.

Abstract

Objectives. We assessed whether it would be feasible to replace the standard measure of net worth with simpler measures of wealth in population-based studies examining associations between wealth and health. Methods. We used data from the 2004 Survey of Consumer Finances (respondents aged 25-64 years) and the 2004 Health and Retirement Survey (respondents aged 50 years or older) to construct logistic regression models relating wealth to health status and smoking. For our wealth measure, we used the standard measure of net worth as well as 9 simpler measures of wealth, and we compared results among the 10 models. Results. In both data sets and for both health indicators, models using simpler wealth measures generated conclusions about the association between wealth and health that were similar to the conclusions generated by models using net worth. The magnitude and significance of the odds ratios were similar for the covariates in multivariate models, and the model-fit statistics for models using these simpler measures were similar to those for models using net worth. Conclusions. Our findings suggest that simpler measures of wealth may be acceptable in population-based studies of health.

Suggested Citation

  • Cubbin, C. & Pollack, C. & Flaherty, B. & Hayward, M. & Sania, A. & Vallone, D. & Braveman, P., 2011. "Assessing alternative measures of wealth in health research," American Journal of Public Health, American Public Health Association, vol. 101(5), pages 939-947.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2010.194175_6
    DOI: 10.2105/AJPH.2010.194175
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    Cited by:

    1. Kristin Turney & Daniel Schneider, 2016. "Incarceration and Household Asset Ownership," Demography, Springer;Population Association of America (PAA), vol. 53(6), pages 2075-2103, December.
    2. Ping He & Yanan Luo & Xiangyang Hu & Rui Gong & Xu Wen & Xiaoying Zheng, 2018. "Association of socioeconomic status with hearing loss in Chinese working-aged adults: A population-based study," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-12, March.
    3. Ricardo Rodrigues & Stefania Ilinca & Maša Filipovič Hrast & Andrej Srakar & Valentina Hlebec, 2022. "Care Task Division in Familialistic Care Regimes: A Comparative Analysis of Gender and Socio-Economic Inequalities in Austria and Slovenia," Sustainability, MDPI, vol. 14(15), pages 1-18, August.
    4. Walsemann, Katrina M. & Gee, Gilbert C. & Gentile, Danielle, 2015. "Sick of our loans: Student borrowing and the mental health of young adults in the United States," Social Science & Medicine, Elsevier, vol. 124(C), pages 85-93.
    5. Ricardo Rodrigues & Stefania Ilinca & Andrea E. Schmidt, 2018. "Income‐rich and wealth‐poor? The impact of measures of socio‐economic status in the analysis of the distribution of long‐term care use among older people," Health Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 637-646, March.
    6. Reagan, Patricia B. & Salsberry, Pamela J., 2014. "Cross race comparisons between SES health gradients among African–American and white women at mid-life," Social Science & Medicine, Elsevier, vol. 108(C), pages 81-88.

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