Skip to main content

Advertisement

Log in

Disability Pensions Among Young Adults in Vocational Rehabilitation

  • Published:
Journal of Occupational Rehabilitation Aims and scope Submit manuscript

Abstract

Objectives Lack of work-participation and early disability pensions (DP’s) among young adults are increasing public health problems in most western European countries. The present study investigated determinants of early DP in young adults in vocational rehabilitation. Methods Data from 928 young adults (aged 18–40 years) attending a vocational rehabilitation program was linked to DP’s recorded in the Norwegian Labor and Welfare Organization registries (1992–2010) and later compared to a group of 65 employees (workers). We used logistic regression to estimate the odds ratio for entitlement to DP following rehabilitation, adjusting for socio-demographical, psychosocial and health-behavior factors. Results Significant differences in socio-demographical, psychosocial and health-behavior factors were found between the rehabilitation group and workers. A total of 60 individuals (6.5 %) were granted a DP during follow-up. Increase in age, teenage parenthood, single status, as well as low education level and not being employed were found to be the strongest independent determinants of DP. Conclusion Poor social relations (being lone), early childbearing and weak connection to working life contributed to increase in risk of DP’s among young adults in vocational rehabilitation, also after adjusting for education level. These findings are important in the prevention of early disability retirements among young adults and should be considered in the development of targeted interventions aimed at individuals particularly at risk of not being integrated into future work lives.

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

  1. Bernitz BK, Grees N, Randers MJ, Gerner U, Bergendorff S. Young adults on disability benefits in 7 countries. Scand J Public Health. 2013;41(12 Suppl):3–26.

    Article  Google Scholar 

  2. OECD. Mental health and work: Norway. http://www.regjeringen.no/nb/dep/asd/dok/rapporter_planer/rapporter/2013/oecd-rapport-arbeid-og-psykisk-helse.html?id=716427. OECD; 2013.

  3. Gustafsson K, Aronsson G, Marklund S, Wikman A, Hagman M, Floderus B. Social integration, socioeconomic conditions and type of ill health preceding disability pension in young women: a Swedish population-based study. Int J Behav Med. 2014;21(1):77–87.

  4. Ellingsen J, Lindbøl MN, Galaasen AM, Jacobsen O. Utviklingen i uførepensjon per 30. September 2013. http://www.nav.no/Om+NAV/Tall+og+analyse/Jobb+og+helse/Uf%C3%B8repensjon. The Norwegian Labour and Welfare Administration; 2013.

  5. Hernes T, Heum I, Haavorsen P. Work Inclusion: About the new policy and practice field in welfare. Oslo: Gyldendal; 2010.

    Google Scholar 

  6. Marmot MWRG. Social determinants of health. New York: Oxford University Press; 2006.

    Google Scholar 

  7. Berkman LF, Kawachi I, Glymour MM. Social epidemiology. 2nd ed. New York: Oxford University Press; 2014.

  8. Marmot M, Bell R. Fair society, healthy lives. Public Health. 2012;126(Suppl 1):S4–10.

    Article  PubMed  Google Scholar 

  9. Marmot MG. Understanding social inequalities in health. Perspect Biol Med. 2003;46(3):S9–23.

    Article  PubMed  Google Scholar 

  10. Gravseth HM, Bjerkedal T, Irgens LM, Aalen OO, Selmer R, Kristensen P. Life course determinants for early disability pension: a follow-up of Norwegian men and women born 1967–1976. Eur J Epidemiol. 2007;22(8):533–43.

    Article  PubMed  Google Scholar 

  11. Leinonen T, Martikainen P, Lahelma E. Interrelationships between education, occupational social class, and income as determinants of disability retirement. Scand J Public Health. 2012;40(2):157–66.

    Article  PubMed  Google Scholar 

  12. De Ridder KA, Pape K, Cuypers K, Johnsen R, Holmen TL, Westin S, et al. High school dropout and long-term sickness and disability in young adulthood: a prospective propensity score stratified cohort study (the Young-HUNT study). BMC Public Health. 2013;13:941.

    Article  PubMed Central  PubMed  Google Scholar 

  13. Krokstad S, Westin S. Disability in society—medical and non-medical determinants for disability pension in a Norwegian total county population study. Soc Sci Med. 2004;58(10):1837–48.

    Article  PubMed  Google Scholar 

  14. Krokstad S, Johnsen R, Westin S. Social determinants of disability pension: a 10-year follow-up of 62 000 people in a Norwegian county population. Int J Epidemiol. 2002;31(6):1183–91.

    Article  PubMed  Google Scholar 

  15. Albertsen K, Lund T, Christensen KB, Kristensen TS, Villadsen E. Predictors of disability pension over a 10-year period for men and women. Scand J Public Health. 2007;35(1):78–85.

    Article  PubMed  Google Scholar 

  16. Stover M, Pape K, Johnsen R, Fleten N, Sund ER, Claussen B, et al. Unemployment and disability pension-an 18-year follow-up study of a 40-year-old population in a Norwegian county. BMC Public Health. 2012;12:148.

    Article  PubMed Central  PubMed  Google Scholar 

  17. Ropponen A, Alexanderson K, Svedberg P. Part-time work or social benefits as predictors for disability pension: a prospective study of Swedish twins. Int J Behav Med. 2014;21(2):329–36.

  18. Brage S, Thune O. Medisinske årsaker til uførhet i alderen 25-39 år. Oslo: The Norwegian Labour and Welfare Administration: 2009.

    Google Scholar 

  19. Mykletun A, Overland S, Dahl AA, Krokstad S, Bjerkeset O, Glozier N, et al. A Population-Based Cohort Study of the Effect of Common Mental Disorders on Disability Pension Awards. Am J Psychiatry. 2006;163(8):1412–8.

    Article  PubMed  Google Scholar 

  20. Floderus B, Hagman M, Aronsson G, Gustafsson K, Marklund S, Wikman A. Disability pension among young women in Sweden, with special emphasis on family structure: a dynamic cohort study. BMJ Open. 2012;2:e000840. doi:10.1136/bmjopen-2012-000840.

    Article  PubMed Central  PubMed  Google Scholar 

  21. Olausson PO, Haglund B, Weitoft GR, Cnattingius S. Teenage childbearing and long-term socioeconomic consequences: a case study in Sweden. Fam Plann Perspect. 2001;33(2):70–4.

    Article  CAS  PubMed  Google Scholar 

  22. Mansson NO, Merlo J, Ostergren PO. The use of analgesics and hypnotics in relation to self-rated health and disability pension—a prospective study of middle-aged men. Scand J Public Health. 2001;29(2):133–9.

    Article  CAS  PubMed  Google Scholar 

  23. Rose G. The strategy of preventive medicine. Oxford: Oxford Unversity; 1992.

    Google Scholar 

  24. Lillefjell M, Haugan T, Martinussen P, Halvorsen T. Treatment Outcomes Among Individuals in a Musculoskeletal Pain Rehabilitation Program Related to the Prevalence and Trends in the Dispensing of Prescribed Medications. J Musculoskelet Pain. 2013;21(4):311–9.

    Article  Google Scholar 

  25. Engel GL. The need for a new medical model: a challenge for biomedicine. Science. 1977;196(4286):129–36.

    Article  CAS  PubMed  Google Scholar 

  26. Lillefjell M, Jakobsen K. Sense of coherence as a predictor of work reentry following multidisciplinary rehabilitation for individuals with chronic musculoskeletal pain. J Occup Health Psychol. 2007;12(3):222–31.

    Article  PubMed  Google Scholar 

  27. Lillefjell M, Krokstad S, Espnes GA. Prediction of function in daily life following multidisciplinary rehabilitation for individuals with chronic musculoskeletal pain; a prospective study. BMC Musculoskelet Disord. 2007;8:65.

    Article  PubMed Central  PubMed  Google Scholar 

  28. Akselsen A, Lien S, Siverstøl Ø. FD-Trygd, List of variables. Oslo: Statistics Norway/Department of Social Statistics/Division for Social Welfare Statistics; 2007.

  29. Hauser R, Warren J, Haung M, Carter W. Social stratification across three generations. In: Arrow K, Bowles S, Durlauf S, editors. Meritocracy and inequality. Princeton, NJ: Princeton University Press; 2000. p. 179–229.

    Google Scholar 

  30. Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983;67(6):361–70.

    Article  CAS  PubMed  Google Scholar 

  31. Bjelland I, Dahl AA, Haug TT, Neckelmann D. The validity of the Hospital Anxiety and Depression Scale. An updated literature review. J Psychosom Res. 2002;52(2):69–77.

    Article  PubMed  Google Scholar 

  32. Mykletun A, Stordal E, Dahl AA. Hospital Anxiety and Depression (HAD) Scale: factor structure, item analyses and internal consistency in a large population. Br J Psychiatry. 2001;179:540–4.

    Article  CAS  PubMed  Google Scholar 

  33. Huskisson EC. Measurement of pain. Lancet. 1974;2(7889):1127–31.

    Article  CAS  PubMed  Google Scholar 

  34. McDowell I, Newell C. Measuring health—a guide to rating scales and questionaires. New York: Oxford University Press; 1997.

    Google Scholar 

  35. Chaudhary M. Seven out of ten complete secondary education. Statistic Norway; 2011. http://www.ssb.no/utdanning/artikler-og-publikasjoner/sju-av-ti-fullforer-videregaaende-opplaering.

  36. OECD. Education at a Glance 2014. OECD indicators. OECD Publishing; 2014. doi:10.1787/eag-2014-en.

  37. Nilsen SM, Bjorngaard JH, Ernstsen L, Krokstad S, Westin S. Education-based health inequalities in 18,000 Norwegian couples: the Nord-Trondelag Health Study (HUNT). BMC Public Health. 2012;12:998.

    Article  PubMed Central  PubMed  Google Scholar 

  38. Caspi A, Wright BRE, Moffitt TE, Silva PA. Early failure in the labor market: childhood and adolescent predictors of unemployment in the transition to adulthood. Am Sociol Rev. 1998;63(3):424–51.

    Article  Google Scholar 

  39. Stordal E, Bjelland I, Dahl AA, Mykletun A. Anxiety and depression in individuals with somatic health problems. The Nord-Trondelag Health Study (HUNT). Scand J Prim Health Care. 2003;21(3):136–41.

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

The authors would like to thank the participants of the rehabilitation programme for their permission to use personal information for research purposes. Friskgården, located in Nord-Trøndelag County, has since 1995 developed a multidisciplinary rehabilitation model for individuals at sick leave with complex disease conditions. We would also like to thank two anonymous reviewers for their helpful comments on an earlier draft of this paper.

Conflict of interest

The authors declare that they have no conflict of interest.

Informed consent

All procedures followed were in accordance with the ethical standards of the Helsinki Declaration of 1975, as revised in 2000. The study was approved by the Regional Committees for Medical and Health Research Ethics (REC) in Mid-Norway and informed consent was obtained from all participants included in the study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Arnhild Myhr.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Myhr, A., Haugan, T., Espnes, G.A. et al. Disability Pensions Among Young Adults in Vocational Rehabilitation. J Occup Rehabil 26, 95–102 (2016). https://doi.org/10.1007/s10926-015-9590-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10926-015-9590-5

Keywords

Navigation