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Predictors of Self-Rated Health: Does Education Play a Role Above and Beyond Age?

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  • Svenja M. Spuling
  • Oliver Huxhold
  • Susanne Wurm

Abstract

Objectives:Previous studies have demonstrated that while health factors lose importance for the individual conceptualization of self-rated health (SRH) with advancing age, subjective well-being (SWB) factors gain in importance. The present study examined whether this age-related pattern differs between educational groups.Method:Longitudinal data of adults aged 40 years and older of the German Ageing Survey was used (N = 6,812). The role of education in age-related changes in the predictive value of different health and SWB facets for SRH was investigated with a cross-lagged panel regression model.Results:Physical conditions were a stronger predictor in lower than in higher educated individuals while the association did not change with age. In contrast, positive affect and life satisfaction only gained in importance with advancing age for higher educated individuals. Negative affect was an equally strong predictor independent of education, and loneliness had a stronger association with SRH in people with lower education compared to those with high education while the associations did not change with age.Discussion:The findings highlight the importance of considering the multidimensionality of SWB and the educational background of individuals for the study of SRH and indicate possible limits to adjustment to age-related declines in health.

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  • Svenja M. Spuling & Oliver Huxhold & Susanne Wurm, 2017. "Predictors of Self-Rated Health: Does Education Play a Role Above and Beyond Age?," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 72(3), pages 415-424.
    • Handle: RePEc:oup:geronb:v:72:y:2017:i:3:p:415-424.
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    File URL: http://hdl.handle.net/10.1093/geronb/gbv057
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    References listed on IDEAS

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    1. Pamela Herd & Brian Goesling & James S. House, "undated". "Socioeconomic Position and Health: The Differential Effects of Education versus Income on the Onset versus Progression of Health Problems," Mathematica Policy Research Reports 441d34cf576545a8b8bd05ca7, Mathematica Policy Research.
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    3. Henrike Galenkamp & Arjan W. Braam & Martijn Huisman & Dorly J. H. Deeg, 2011. "Somatic Multimorbidity and Self-rated Health in the Older Population," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 66(3), pages 380-386.
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    Cited by:

    1. Young Ho Yun & Ye Eun Rhee & Eunkyo Kang & Jin-ah Sim, 2019. "The Satisfaction with Life Scale and the Subjective Well-Being Inventory in the General Korean Population: Psychometric Properties and Normative Data," IJERPH, MDPI, vol. 16(9), pages 1-10, April.
    2. Lazarevič, Patrick & Brandt, Martina, 2020. "Diverging ideas of health? Comparing the basis of health ratings across gender, age, and country," Social Science & Medicine, Elsevier, vol. 267(C).
    3. Nancy P Gordon & Matthew P Banegas & Reginald D Tucker-Seeley, 2020. "Racial-ethnic differences in prevalence of social determinants of health and social risks among middle-aged and older adults in a Northern California health plan," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-18, November.
    4. Spuling, Svenja M. & Wolff, Julia K. & Wurm, Susanne, 2017. "Response shift in self-rated health after serious health events in old age," Social Science & Medicine, Elsevier, vol. 192(C), pages 85-93.
    5. Sou Hyun Jang, 2021. "Relationship between Employment Type and Self-Rated Health among Korean Immigrants in the US: Focusing on Gender and Number of Years in the US," IJERPH, MDPI, vol. 18(4), pages 1-14, February.

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