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Intergenerational Educational Pathways and Self-Rated Health in Adolescence and Young Adulthood: Results of the German KiGGS Cohort

Author

Listed:
  • Julia Waldhauer

    (Robert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany)

  • Benjamin Kuntz

    (Robert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany)

  • Elvira Mauz

    (Robert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany)

  • Thomas Lampert

    (Robert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany)

Abstract

Health differences in social mobility are often analysed by income differences or different occupational positions. However, in early adulthood many young people still have very diffuse income situations and are not always fully integrated into the labour market despite many having finished school. This article focusses on the link between intergenerational educational pathways and self-rated health (SRH) among young adults considering their SRH in adolescence. The data source used is the German KiGGS cohort study. The analysis sample comprises 2175 young people at baseline (t0: 2003–2006 age 14–17) and first follow-up (t1: 2009–2012 age 19–24). Combining parent’s and young people’s highest school degree, the data can trace patterns of intergenerational educational pathways (constant high level of education, upward mobility, downward mobility, constant low level of education). Young people’s SRH was recorded at t0 and t1. During adolescence and young adulthood, participants were less likely to report poor SRH if they had a constant high intergenerational education or if they were upwardly mobile. The differences were particularly striking among young adults: average marginal effects (AME) for poor SRH showed much higher risk among downwardly mobile compared to peers with an intergenerational constant high education (AME: 0.175 [0.099; 0.251]), while the upwardly mobile had a significantly lower risk for less than good SRH than peers with an intergenerational constant low level of education (AME: −0.058 [−0.113; −0.004]). In the context of great societal demands and personal developmental needs, educational differences in health tend to increase in young adulthood. Public Health should pay more attention to educational and health inequalities in young adulthood.

Suggested Citation

  • Julia Waldhauer & Benjamin Kuntz & Elvira Mauz & Thomas Lampert, 2019. "Intergenerational Educational Pathways and Self-Rated Health in Adolescence and Young Adulthood: Results of the German KiGGS Cohort," IJERPH, MDPI, vol. 16(5), pages 1-15, February.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:5:p:684-:d:209109
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    References listed on IDEAS

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    1. Hemmingsson, Tomas & Lundberg, Ingvar & Diderichsen, Finn, 1999. "The roles of social class of origin, achieved social class and intergenerational social mobility in explaining social-class inequalities in alcoholism among young men," Social Science & Medicine, Elsevier, vol. 49(8), pages 1051-1059, October.
    2. Hannelore De Grande & Hadewijch Vandenheede & Patrick Deboosere, 2015. "Educational Inequalities in the Transition to Adulthood in Belgium: The Impact of Intergenerational Mobility on Young-Adult Mortality in 2001-2009," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-18, December.
    3. Christian Dustmann & Patrick A. Puhani & Uta Schönberg, 2017. "The Long‐term Effects of Early Track Choice," Economic Journal, Royal Economic Society, vol. 127(603), pages 1348-1380, August.
    4. Simandan, Dragos, 2018. "Rethinking the health consequences of social class and social mobility," Social Science & Medicine, Elsevier, vol. 200(C), pages 258-261.
    5. Benjamin Kuntz & Thomas Lampert, 2013. "Educational Differences in Smoking among Adolescents in Germany: What is the Role of Parental and Adolescent Education Levels and Intergenerational Educational Mobility?," IJERPH, MDPI, vol. 10(7), pages 1-18, July.
    6. Wolfgang Lutz & Endale Kebede, 2018. "Education and Health: Redrawing the Preston Curve," Population and Development Review, The Population Council, Inc., vol. 44(2), pages 343-361, June.
    7. Chittleborough, C.R. & Taylor, A.W. & Baum, F.E. & Hiller, J.E., 2009. "Monitoring inequities in self-rated health over the life course in population surveillance systems," American Journal of Public Health, American Public Health Association, vol. 99(4), pages 680-689.
    8. Boyle, Paul J. & Norman, Paul & Popham, Frank, 2009. "Social mobility: Evidence that it can widen health inequalities," Social Science & Medicine, Elsevier, vol. 68(10), pages 1835-1842, May.
    9. Naomi Duke & Ross Macmillan, 2016. "Schooling, skills, and self-rated health: A test of conventional wisdom on the relationship between educational attainment and health," Working Papers 087, "Carlo F. Dondena" Centre for Research on Social Dynamics (DONDENA), Università Commerciale Luigi Bocconi.
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