Skip to main content

Advertisement

Log in

Expected or Completed? Comparing Two Measures of Education and Their Relationship with Social Inequalities in Health Among Young Adults

  • Published:
Social Indicators Research Aims and scope Submit manuscript

Abstract

Similarly to other age groups, there are significant social inequalities in health among young adults (YA). Education is thought to be the most appropriate indicator of YA socioeconomic status (SES), yet it is often in progress at that age and may not be representative of future achievement. Therefore, scholars have explored YA ‘expected’ education as a proxy of SES. However, no study has examined how it compares to the more common SES indicator, ‘completed’ education. Using data from 1457 YA surveyed twice over a two year period, we describe associations between participants’ completed and expected education at baseline and completed education at follow-up. We then compare associations between these two measures and three health outcomes—smoking status, self-rated mental health, and participation in physical activity and sports—at baseline and followup using regression models. At baseline, half of the participants were imputed a higher ‘expected’ level than that ‘completed’ at that time. In regression models, ‘expected’ and ‘completed’ education were strongly associated with all outcomes and performed slightly differently in terms of effect size, statistical significance, and model fit. ‘Expected’ education offers a good approximation of future achievement. More importantly, ‘expected’ and ‘completed’ education variables can be conceptualized as complementary indicators associated with inequalities in health in YA. Using both may help better understand social inequalities in health in YA.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Abel, T. (2008). Cultural capital and social inequality in health. Journal of Epidemiology and Community Health, 62(7), e13. doi:10.1136/jech.2007.066159.

    Article  Google Scholar 

  • Barros, A. J., & Hirakata, V. N. (2003). Alternatives for logistic regression in cross-sectional studies: An empirical comparison of models that directly estimate the prevalence ratio. BMC Medical Research Methodology, 3, 21. doi:10.1186/1471-2288-3-21.

    Article  Google Scholar 

  • Blanco, C., Okuda, M., Wright, C., et al. (2008). Mental health of college students and their non-college-attending peers. JAMA Psychiatry, 65(12), 149–1437.

    Google Scholar 

  • Bonnie, R. J., Stratton, K., & Wallace, I. (2007). Ending the tobacco problem: A blueprint for the nation: Committee on reducing tobacco use: Strategies, barriers, and consequences. Institute of Medicine.

  • Bowen, W. G., Chingos, M. M., & McPherson, M. S. (2011). Crossing the finish line: Completing college at America’s public universities. Princeton: Princeton University Press.

    Google Scholar 

  • Braveman, P. A., Cubbin, C., Egerter, S., et al. (2005). Socioeconomic status in health research: One size does not fit all. JAMA, 294(22), 2879–2888. doi:10.1001/jama.294.22.2879.

    Article  Google Scholar 

  • Braveman, P., Egerter, S., & Williams, D. R. (2011). The social determinants of health: Coming of age. Annual Review of Public Health, 32, 381–398. doi:10.1146/annurev-publhealth-031210-101218.

    Article  Google Scholar 

  • Caban-Martinez, A. J., Lee, D. J., Goodman, E., et al. (2011). Health indicators among unemployed and employed young adults. Journal of Occupational and Environmental Medicine, 53(2), 196–203. doi:10.1097/JOM.0b013e318209915e.

    Article  Google Scholar 

  • Cote, J., & Bynner, J. M. (2008). Changes in the transition to adulthood in the UK and Canada: The role of structure and agency in emerging adulthood. Journal of Youth Studies, 11(3), 251–268.

    Article  Google Scholar 

  • CRÉPUQ. (2006). Le système universitaire québécois: Données et indicateurs. (French) Accessed online Jan 25, 2016. URL: http://www.crepuq.qc.ca/IMG/pdf/indicateurs-2.pdf.

  • De Grande, H., Vandenheede, H., & Deboosere, P. (2015). Educational inequalities in the transition to adulthood in Belgium: The impact of intergenerational mobility on young-adult mortality in 2001–2009. PLoS ONE. doi:10.1371/journal.pone.0142104.

    Google Scholar 

  • Dietz, N. A., Sly, D. F., Lee, D. J., et al. (2013). Correlates of smoking among young adults: The role of lifestyle, attitudes/beliefs, demographics, and exposure to anti-tobacco media messaging. Drug and Alcohol Dependence, 130(1–3), 115–121. doi:10.1016/j.drugalcdep.2012.10.019.

    Article  Google Scholar 

  • Fleiss, J. L. (1981). Statistical methods for rates and proportions (2nd ed.). New York: Wiley.

    Google Scholar 

  • Freedman, K. S., Nelson, N. M., & Feldman, L. L. (2011). Smoking initiation among young adults in the United States and Canada, 1998–2010: A systematic review. Preventing Chronic Disease. doi:10.5888/pcd9.110037.

    Google Scholar 

  • Frohlich, K. L., Shareck, M., Vallee, J., et al. (2015). Cohort profile: The Interdisciplinary Study of Inequalities in Smoking (ISIS). International Journal of Epidemiology. doi:10.1093/ije/dyv036.

    Google Scholar 

  • Gagné, T., Frohlich, K. L., & Abel, T. (2015). Cultural capital and smoking in young adults: Applying new indicators to explore social inequalities in health behaviour. The European Journal of Public Health, 25(5), 818–823. doi:10.1093/eurpub/ckv069.

    Article  Google Scholar 

  • Galobardes, B., Shaw, M., Lawlor, D. A., et al. (2006a). Indicators of socioeconomic position (part 1). Journal of Epidemiology and Community Health, 60(1), 7–12. doi:10.1136/jech.2004.023531.

    Article  Google Scholar 

  • Galobardes, B., Shaw, M., Lawlor, D. A., et al. (2006b). Indicators of socioeconomic position (part 2). Journal of Epidemiology and Community Health, 60(2), 95–101. doi:10.1136/jech.2004.028092.

    Article  Google Scholar 

  • Harling, G., Subramanian, S., Barnighausen, T., et al. (2013). Socioeconomic disparities in sexually transmitted infections among young adults in the United States: Examining the interaction between income and race/ethnicity. Sexually Transmitted Diseases, 40(7), 575–581. doi:10.1097/OLQ.0b013e31829529cf.

    Article  Google Scholar 

  • IBM. (2011). IBM SPSS Statistics for Windows, Version 20.0. Armonk, NY: IBM.

    Google Scholar 

  • IOM (Institute of Medicine) and NRC (National Research Council). (2014). Improving the health, safety, and well-being of young adults: Workshop summary. Washington, DC: The National Academies Press.

    Google Scholar 

  • Kestila, L., Koskinen, S., Martelin, T., et al. (2006a). Influence of parental education, childhood adversities, and current living conditions on daily smoking in early adulthood. The European Journal of Public Health, 16(6), 617–626. doi:10.1093/eurpub/ckl054.

    Article  Google Scholar 

  • Kestila, L., Koskinen, S., Martelin, T., et al. (2006b). Determinants of health in early adulthood: What is the role of parental education, childhood adversities and own education? The European Journal of Public Health, 16(3), 306–315. doi:10.1093/eurpub/cki164.

    Article  Google Scholar 

  • Kovess-Masfety, V., Leray, E., Denis, L., Husky, M., Pitrou, I., & Bodeau-Livinec, F. (2016). Mental health of college students and their non-college-attending peers: Results from a large French cross-sectional survey. BMC Psychology, 4, 20. doi:10.1186/s40359-016-0124-5.

    Article  Google Scholar 

  • Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33(1), 159–174.

    Article  Google Scholar 

  • Lavoie, K., Bonnelli, H., & Gauthier, J., et al. (2010). Portrait de santé des jeunes québécois âgés de 15 à 24 ans. Fédération des Cégeps. p. 60.

  • Lawrence, D., Fagan, P., Backinger, C. L., et al. (2007). Cigarette smoking patterns among young adults aged 18–24 years in the United States. Nicotine & Tobacco Research, 9(6), 687–697. doi:10.1080/14622200701365319.

    Article  Google Scholar 

  • McNutt, L.-A., Wu, C., Xue, X., & Hafner, J.-P. (2003). Estimating the relative risk in cohort studies and clinical trials of common outcomes. American Journal of Epidemiology, 157(10), 940–943.

    Article  Google Scholar 

  • Mulye, T. P., Park, M. J., Nelson, C. D., et al. (2009). Trends in adolescent and young adult health in the United States. Journal of Adolescent Health, 45(1), 8–24. doi:10.1016/j.jadohealth.2009.03.013.

    Article  Google Scholar 

  • Muthén, L. K., & Muthén, B. O. (2013). Mplus user’s guide (7th ed.). Los Angeles, CA: Muthén & Muthén.

    Google Scholar 

  • O’Loughlin, J. L., Dugas, E. N., O’Loughlin, E. K., et al. (2014). Incidence and determinants of cigarette smoking initiation in young adults. Journal of Adolescent Health, 54(1), 26–32. doi:10.1016/j.jadohealth.2013.07.009.

    Article  Google Scholar 

  • Pampel, F. C., Krueger, P. M., & Denney, J. T. (2010). Socioeconomic disparities in health behaviors. Annual Review of Sociology, 36, 349–370. doi:10.1146/annurev.soc.012809.102529.

    Article  Google Scholar 

  • Pampel, F. C., Mollborn, S., & Lawrence, E. M. (2014). Life course transitions in early adulthood and SES disparities in tobacco use. Social Science Research, 43, 45–59. doi:10.1016/j.ssresearch.2013.08.005.

    Article  Google Scholar 

  • Pedersen, W., & von Soest, T. (2014). Tobacco use among Norwegian adolescents: From cigarettes to snus. Addiction, 109(7), 1154–1162. doi:10.1111/add.12509.

    Article  Google Scholar 

  • Raftery, A. E. (1995). Bayesian model selection in social research. Sociological Methodology, 25, 111–163.

    Article  Google Scholar 

  • Redonnet, B., Chollet, A., Fombonne, E., et al. (2012). Tobacco, alcohol, cannabis and other illegal drug use among young adults: The socioeconomic context. Drug and Alcohol Dependence, 121(3), 231–239. doi:10.1016/j.drugalcdep.2011.09.002.

    Article  Google Scholar 

  • Shareck, M., Kestens, Y., & Frohlich, K. L. (2014). Moving beyond the residential neighborhood to explore social inequalities in exposure to area-level disadvantage: Results from the interdisciplinary study on inequalities in smoking. Social Science and Medicine, 108, 106–114. doi:10.1016/j.socscimed.2014.02.044.

    Article  Google Scholar 

  • Shareck, M., Kestens, Y., Vallee, J., et al. (2015). The added value of accounting for activity space when examining the association between tobacco retailer availability and smoking among young adults. Tobacco Control. doi:10.1136/tobaccocontrol-2014-052194.

    Google Scholar 

  • Stroud, C., Walker, L. R., Davis, M., et al. (2015). Investing in the health and well-being of young adults. Journal of Adolescent Health, 56(2), 127–129. doi:10.1016/j.jadohealth.2014.11.012.

    Article  Google Scholar 

  • Tyas, S. L., & Pederson, L. L. (1998). Psychosocial factors related to adolescent smoking: A critical review of the literature. Tobacco Control, 7(4), 409–420.

    Article  Google Scholar 

  • Widome, R., Wall, M. M., Laska, M. N., et al. (2013). Adolescence to young adulthood: When socioeconomic disparities in substance use emerge. Substance Use and Misuse, 48(14), 1522–1529. doi:10.3109/10826084.2013.800885.

    Article  Google Scholar 

Download references

Acknowledgements

We wish to thank the Interdisciplinary Study of Inequalities in Smoking team, especially Julie Vallée, for their insightful comments during the writing of this manuscript. TG and AG were funded by doctoral scholarships through the Fonds de recherche du QuébecSanté during this project. MS is supported by a post-doctoral fellowship from the Canadian Institutes of Health Research (CIHR). The ISIS project was funded through an operating grant awarded to KLF by the CIHR (MOP-110977).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Thierry Gagné.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (PDF 59 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gagné, T., Ghenadenik, A.E., Shareck, M. et al. Expected or Completed? Comparing Two Measures of Education and Their Relationship with Social Inequalities in Health Among Young Adults. Soc Indic Res 135, 549–562 (2018). https://doi.org/10.1007/s11205-016-1517-9

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11205-016-1517-9

Keywords

Navigation