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Pathways between education and health: a causal modelling approach

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  • Tarani Chandola
  • Paul Clarke
  • J. N. Morris
  • David Blane

Abstract

Summary. The association of poor education and poor health has been consistently observed in many studies and in various countries. Thus far, studies examining the mechanisms underlying this association have looked at only a limited set of potential pathways. This study simultaneously examines six distinctive pathways, which have been hypothesized to link education and health and found support from previous studies. A causal analysis of education and health was performed using structural equation models. Data were used from six phases of the National Child Development Study, which is based on following up an initial sample of 17416 children who were born in 1958. The association between education and health appears to be explained by a combination of mechanisms: adolescent health and adult health behaviours for men and women, adult social class among men and parental social class among women. We conclude that improvements in population educational attainment may not automatically lead to improvements in population health, and that health policies for improving health and reducing health inequalities need to target specific causal pathways.

Suggested Citation

  • Tarani Chandola & Paul Clarke & J. N. Morris & David Blane, 2006. "Pathways between education and health: a causal modelling approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(2), pages 337-359, March.
  • Handle: RePEc:bla:jorssa:v:169:y:2006:i:2:p:337-359
    DOI: 10.1111/j.1467-985X.2006.00411.x
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    Cited by:

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    3. Pradeep Kumar Choudhury, 2015. "Explaining the Role of Parental Education in the Regional Variations in Infant Mortality in India," Asia and the Pacific Policy Studies, Wiley Blackwell, vol. 2(3), pages 544-572, September.
    4. Cohen, Alison K. & Rehkopf, David H. & Deardorff, Julianna & Abrams, Barbara, 2013. "Education and obesity at age 40 among American adults," Social Science & Medicine, Elsevier, vol. 78(C), pages 34-41.
    5. Zhu, Yajing & Steele, Fiona & Moustaki, Irini, 2017. "A general 3-step maximum likelihood approach to estimate the effects of multiple latent categorical variables on a distal outcome," LSE Research Online Documents on Economics 81850, London School of Economics and Political Science, LSE Library.
    6. Bongoh Kye & Erika Arenas & Graciela Teruel & Luis Rubalcava, 2014. "Education, Elderly Health, and Differential Population Aging in South Korea: A Demographic Approach," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 30(26), pages 753-794.
    7. Kulhánová, Ivana & Hoffmann, Rasmus & Judge, Ken & Looman, Caspar W.N. & Eikemo, Terje A. & Bopp, Matthias & Deboosere, Patrick & Leinsalu, Mall & Martikainen, Pekka & Rychtaříková, Jitka & Wojtyniak,, 2014. "Assessing the potential impact of increased participation in higher education on mortality: Evidence from 21 European populations," Social Science & Medicine, Elsevier, vol. 117(C), pages 142-149.
    8. Liliya Leopold & Henriette Engelhartdt, 2013. "Education and physical health trajectories in old age. Evidence from the Survey of Health, Ageing and Retirement in Europe (SHARE)," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 58(1), pages 23-31, February.
    9. Sze Yan Liu & Jennifer J Manly & Benjamin D Capistrant & M Maria Glymour, 2015. "Historical Differences in School Term Length and Measured Blood Pressure: Contributions to Persistent Racial Disparities among US-Born Adults," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-13, June.
    10. Liu, Sze Yan & Buka, Stephen L. & Kubzansky, Laura D. & Kawachi, Ichiro & Gilman, Stephen E. & Loucks, Eric B., 2013. "Sheepskin effects of education in the 10-year Framingham risk of coronary heart disease," Social Science & Medicine, Elsevier, vol. 80(C), pages 31-36.
    11. Amin, Vikesh & Dunn, Paul & Spector, Tim, 2018. "Does education attenuate the genetic risk of obesity? Evidence from U.K. Twins," Economics & Human Biology, Elsevier, vol. 31(C), pages 200-208.
    12. Lê, Félice & Diez Roux, Ana & Morgenstern, Hal, 2013. "Effects of child and adolescent health on educational progress," Social Science & Medicine, Elsevier, vol. 76(C), pages 57-66.
    13. Amina Aitsi-Selmi & Ruth Bell & Martin J Shipley & Michael G Marmot, 2014. "Education Modifies the Association of Wealth with Obesity in Women in Middle-Income but Not Low-Income Countries: An Interaction Study Using Seven National Datasets, 2005-2010," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-10, March.
    14. Kedir Y Ahmed & Abdon G Rwabilimbo & Solomon Abrha & Andrew Page & Amit Arora & Fentaw Tadese & Tigistu Yemane Beyene & Abdulaziz Seiko & Abdulhafiz A Endris & Kingsley E Agho & Felix Akpojene Ogbo & , 2020. "Factors associated with underweight, overweight, and obesity in reproductive age Tanzanian women," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-16, August.
    15. Andersson, Matthew A. & Maralani, Vida, 2015. "Early-life characteristics and educational disparities in smoking," Social Science & Medicine, Elsevier, vol. 144(C), pages 138-147.

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