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Demography

, Volume 51, Issue 6, pp 1999–2023 | Cite as

Why Do Older People Change Their Ratings of Childhood Health?

  • Mike Vuolo
  • Kenneth F. Ferraro
  • Patricia M. Morton
  • Ting-Ying Yang
Article

Abstract

A growing number of studies in life course epidemiology and biodemography make use of a retrospective question tapping self-rated childhood health to assess overall physical health status. Analyzing repeated measures of self-rated childhood health from the Health and Retirement Study (HRS), this study examines several possible explanations for why respondents might change their ratings of childhood health. Results reveal that nearly one-half of the sample revised their rating of childhood health during the 10-year observation period. Whites and relatively advantaged older adults—those with more socioeconomic resources and better memory—were less likely to revise their rating of childhood health, while those who experienced multiple childhood health problems were more likely to revise their childhood health rating, either positively or negatively. Changes in current self-rated health and several incident physical health problems were also related to the revision of one’s rating of childhood health, while the development of psychological disorders was associated with more negative revised ratings. We then illustrate the impact that these changes may have on an adult outcomes: namely, depressive symptoms. Whereas adult ratings of childhood health are likely to change over time, we recommend their use only if adjusting for factors associated with these changes, such as memory, psychological disorder, adult self-rated health, and socioeconomic resources.

Keywords

Retrospective questions Self-rated health Life course epidemiology Reliability Childhood conditions 

Notes

Acknowledgments

The authors are grateful to Andrew Halpern-Manners, Ann Howell, Jessica Kelley-Moore, Daniel Mroczek, and Lindsay Wilkinson for helpful comments on drafts of this article. Support for this research was provided by grants from the National Institute on Aging to K. Ferraro (R01 AG033541 and AG043544).

References

  1. Beckett, M., Da Vanzo, J., Sastry, N., Panis, C., & Peterson, C. (2001). The quality of retrospective data: An examination of long-term recall in a developing country. Journal of Human Resources, 36, 593–625.CrossRefGoogle Scholar
  2. Benyamini, Y., Blumstein, T., Lusky, A., & Modan, B. (2003). Gender differences in the self-rated health–mortality association: Is it poor self-rated health that predicts mortality or excellent self-rated health that predicts survival? The Gerontologist, 43, 396–405.CrossRefGoogle Scholar
  3. Blackwell, D. L., Hayward, M. D., & Crimmins, E. M. (2001). Does childhood health affect chronic morbidity in later life? Social Science & Medicine, 52, 1269–1284.CrossRefGoogle Scholar
  4. Crossley, T. F., & Kennedy, S. (2002). The reliability of self-assessed health status. Journal of Health Economics, 21, 643–658.CrossRefGoogle Scholar
  5. Diehr, P., Williamson, J., Patrick, D. L., Bild, D. E., & Burke, G. (2001). Patterns of self-rated health in older adults before and after sentinel events. Journal of the American Geriatrics Society, 49, 36–44.CrossRefGoogle Scholar
  6. Dowd, J. B., & Todd, M. (2011). Does self-reported health bias the measurement of health inequalities in U.S. Adults? Evidence using anchoring vignettes from the health and retirement study. Journal of Gerontology: Social Sciences, 66, 478–489.CrossRefGoogle Scholar
  7. Ferraro, K. F., & Farmer, M. M. (1999). Utility of health data from social surveys: Is there a gold standard for measuring morbidity? American Sociological Review, 64, 303–315.CrossRefGoogle Scholar
  8. Ferraro, K. F., & Kelley-Moore, J. A. (2001). Self-rated health and mortality among black and white adults: Examining the dynamic evaluation thesis. Journal of Gerontology: Social Sciences, 56B, S195–S205.CrossRefGoogle Scholar
  9. Frisvold, D., & Golberstein, E. (2013). The effect of school quality on black-white health differences: Evidence from segregated southern schools. Demography, 50, 1989–2012.CrossRefGoogle Scholar
  10. Haas, S. A. (2007). The long-term effects of poor childhood health: An assessment and application of retrospective reports. Demography, 44, 113–135.CrossRefGoogle Scholar
  11. Haas, S. A., & Bishop, N. J. (2010). What do retrospective reports of childhood health capture? Evidence from the Wisconsin Longitudinal Study. Research on Aging, 32, 698–714.CrossRefGoogle Scholar
  12. Hardy, S. E., Concato, J., & Gill, T. M. (2002). Stressful life events among community-living older persons. Journal of General Internal Medicine, 17, 841–847.CrossRefGoogle Scholar
  13. Hauser, R. M., & Weir, D. (2010). Recent developments in longitudinal studies of aging in the United States. Demography, 47(Suppl), S111–S130.CrossRefGoogle Scholar
  14. Health and Retirement Study. (2001). Sampling weights: Revised for Tracker 2.0 and beyond. Washington, DC: National Institute on Aging.Google Scholar
  15. Health and Retirement Study. (2003). HRS 1998 core public use dataset. Ann Arbor, MI: University of Michigan and National Institute on Aging.Google Scholar
  16. Health and Retirement Study. (2012). HRS 2008 core public use dataset. Ann Arbor, MI: University of Michigan and National Institute on Aging.Google Scholar
  17. Hoechle, D. (2007). Robust standard errors for panel regressions with cross-sectional dependence. The Stata Journal, 7, 281–312.Google Scholar
  18. Holmes, T. H., & Rahe, R. H. (1967). The social readjustment rating scale. Journal of Psychosomatic Research, 11, 213–218.CrossRefGoogle Scholar
  19. Idler, E. L., & Benyamini, Y. (1997). Self-rated health and mortality: A review of twenty-seven community studies. Journal of Health and Social Behavior, 38, 21–37.CrossRefGoogle Scholar
  20. Idler, E. L., & Kasl, S. V. (1995). Self-ratings of health: Do they also predict change in functional ability? Journal of Gerontology: Social Sciences, 50B, S344–S353.CrossRefGoogle Scholar
  21. Joorman, J., Teachman, B. A., & Gotlib, I. H. (2009). Sadder and less accurate? False memory for negative material in depression. Journal of Abnormal Psychology, 118, 412–417.CrossRefGoogle Scholar
  22. Kistner, J. A., David-Ferdon, C. F., Repper, K. K., & Joiner, T. E., Jr. (2006). Bias and accuracy of children’s perceptions of peer acceptance: Prospective associations with depressive symptoms. Journal of Abnormal Child Psychology, 34, 349–361.CrossRefGoogle Scholar
  23. Krall, E. A., Valadian, I., Dwyer, J. T., & Gardener, J. (1988). Recall of childhood illness. Journal of Clinical Epidemiology, 41, 1059–1064.CrossRefGoogle Scholar
  24. Lee, S. J., Moody-Ayers, S., Landefeld, C. S., Walter, L. C., Lindquist, K., Segal, M. R., & Covinsky, K. E. (2007). The relationship between self-rated health and mortality in older black and white Americans. Journal of the American Geriatrics Society, 55, 1624–1629.CrossRefGoogle Scholar
  25. Lima-Costa, M. F., Cesar, C. C., Chor, D., & Proietti, F. A. (2012). Self-rated health compared with objectively measured health status as a tool for mortality risk screening in older adults: 10-year follow-up of the Bambuí cohort study of aging. American Journal of Epidemiology, 175, 228–235.CrossRefGoogle Scholar
  26. Mathews, A., & MacLeod, C. (2005). Cognitive vulnerability to emotional disorders. Annual Review of Clinical Psychology, 1, 167–195.CrossRefGoogle Scholar
  27. Palloni, A. (2006). Reproducing inequalities: Luck, wallets, and the enduring effects of childhood health. Demography, 43, 587–615.CrossRefGoogle Scholar
  28. RAND. (2011). RAND HRS data, version L. Santa Monica, CA: RAND Center for the Study of Aging, National Institute on Aging, and the Social Security Administration.Google Scholar
  29. Riosmena, F., Wong, R., & Palloni, A. (2013). Migration selection, protection, and acculturation in health: A binational perspective on older adults. Demography, 50, 1039–1064.CrossRefGoogle Scholar
  30. Scharfstein, D. O., Rotnitzky, A., & Robins, J. M. (1999). Adjusting for nonignorable drop-out using semi-parametric nonresponse models (with comments). Journal of the American Statistical Association, 94, 1096–1146.CrossRefGoogle Scholar
  31. Smith, J. P. (2009). Reconstructing childhood health histories. Demography, 46, 387–403.CrossRefGoogle Scholar
  32. Van de Mheen, H., Stronks, K., Looman, C. W. N., & Mackenbach, J. P. (1998). Recall bias in self-reported childhood health: Differences by age and educational level. Sociology of Health and Illness, 20, 241–254.CrossRefGoogle Scholar
  33. Wilson, R. S., Beckett, L. A., Barnes, L. L., Schneider, J. A., Bach, J., Evans, D. A., & Bennett, D. A. (2002). Individual differences in rates of change in cognitive abilities of older persons. Psychology and Aging, 17, 179–193.CrossRefGoogle Scholar
  34. Winship, C., & Radbill, L. (1994). Sampling weights and regression analysis. Sociological Methods & Research, 23, 230–257.CrossRefGoogle Scholar
  35. Zajacova, A., & Dowd, J. B. (2011). Reliability of self-rated health in US adults. American Journal of Epidemiology, 174, 977–983.CrossRefGoogle Scholar
  36. Zimmerman, M. (1983). Methodological issues in the assessment of life events: A review of issues and research. Clinical Psychology Review, 3, 339–370.CrossRefGoogle Scholar

Copyright information

© Population Association of America 2014

Authors and Affiliations

  • Mike Vuolo
    • 1
  • Kenneth F. Ferraro
    • 1
  • Patricia M. Morton
    • 1
  • Ting-Ying Yang
    • 2
  1. 1.Department of SociologyPurdue UniversityWest LafayetteUSA
  2. 2.Psychology DepartmentAsia UniversityTaichungTaiwan

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