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Journal of Occupational Rehabilitation

, Volume 24, Issue 3, pp 563–572 | Cite as

Predictors of Having Paid Work in Older Workers With and Without Chronic Disease: A 3-Year Prospective Cohort Study

  • Cécile R. L. Boot
  • Dorly J. H. Deeg
  • Tineke Abma
  • Kelly J. Rijs
  • Suzan van der Pas
  • Theo G. van Tilburg
  • Allard J. van der Beek
Article

Abstract

Background As the prevalence of chronic disease amongst older workers is high and increasing, it is important to know if the large subgroup of older workers with chronic disease has specific needs when it comes to prolonging participation in paid work. Objectives To investigate differences and similarities in predictors of having paid work in workers aged 55+ with and without chronic disease. Methods Workers aged 55–62 years were selected from the 2002–2003 cohort of the Longitudinal Aging Study Amsterdam (n = 333). Potential predictors were: health, personality, work characteristics, and demographics. Per potential predictor, a logistic regression coefficient for ‘having paid work in 2005–2006’ was calculated for workers with and without chronic disease. A pooled estimate was computed and differences between the pooled estimate and the coefficients were tested. Results Follow-up data were available for 95 %, of whom 67 % still had paid work. Predictors of having paid work were similar for workers with and without chronic diseases, except for physical workload (χ2 = 5.37; DF = 1) and psychosocial resources at work (χ2 = 5.94; DF = 1). Having more psychosocial resources (OR = 3.57; 95 %CI 1.33–10.0) was predictive for having paid work in workers with chronic disease and not in workers without chronic disease. Lower age, more weekly working hours, no functional limitations, fewer depressive symptoms, lower neuroticism scores, and more sense of mastery were significantly associated with having paid work in all workers. Conclusions Differences between predictors of having paid work between workers with and without chronic disease should be taken into account when aiming to prevent exit from the workforce. In particular the vulnerable subgroup of older workers with chronic disease and low psychosocial resources at work is more likely to quit working.

Keywords

Longitudinal studies Aging Employment Chronic disease Social participation Retirement 

Notes

Acknowledgments

We would like to thank Marianna Noale, ScD, statistician of the CNR—Istituto di Neuroscienze, Padova, Italy, for her kind assistance with the statistical analyses of the pooled data. This work was supported by a personal grant from the EMGO Institute for Health and Care Research, Amsterdam, the Netherlands to CRL Boot (EMGO+ Quality of Care Fellowship 2010–2012).

References

  1. 1.
    Harbers MM, Achterberg PW. Europeans of retirement age: chronic diseases and economic activity. Bilthoven: RIVM; 2012.Google Scholar
  2. 2.
    Bhattacharya J, Choudhry K, Lakdawalla D. Chronic disease and severe disability among working-age populations. Med Care. 2008;46:92–100.PubMedCrossRefGoogle Scholar
  3. 3.
    Blokstra A, Baan CA, Boshuizen HC, Feenstra TL, Hoogenveen RT, Picavet HS, et al. Impact of the ageing population on burden of disease: projections of chronic disease prevalence for 2005–2025. Bilthoven: National Institute for Public Health and Environment; 2007.Google Scholar
  4. 4.
    Baanders AN, Rijken PM, Peters L. Labour participation of the chronically ill: a profile sketch. Eur J Public Health. 2002;12:124–30.PubMedCrossRefGoogle Scholar
  5. 5.
    Boot CR, Koppes LL, van den Bossche SN, Anema JR, van der Beek AJ. Relation between perceived health and sick leave in employees with a chronic illness. J Occup Rehabil. 2011;21:211–9.PubMedCentralPubMedCrossRefGoogle Scholar
  6. 6.
    Li RT, d’Errico A, Costa G. Association between chronic morbidity and early retirement in Italy. Int Arch Occup Environ Health. 2013;86:295–303.CrossRefGoogle Scholar
  7. 7.
    World Health Organization. International classification of functioning, disability and health: ICF. Geneva: WHO; 2001.Google Scholar
  8. 8.
    Garcia-Gomez P, von Gaudecker HM, Lindeboom M. Health, disability and work: patterns for the working age population. Int Tax Public Financ. 2011;18:146–65.CrossRefGoogle Scholar
  9. 9.
    Huisman M, Poppelaars J, van der Horst M, Beekman AT, Brug J, van Tilburg TG, et al. Cohort profile: the longitudinal aging study Amsterdam. Int J Epidemiol. 2011;40:868–76.PubMedCrossRefGoogle Scholar
  10. 10.
    Kriegsman DM, Penninx BW, van Eijk JT, Boeke AJ, Deeg DJ. Self-reports and general practitioner information on the presence of chronic diseases in community dwelling elderly. A study on the accuracy of patients’ self-reports and on determinants of inaccuracy. J Clin Epidemiol. 1996;49:1407–17.PubMedCrossRefGoogle Scholar
  11. 11.
    Bakker AB, Demerouti E. The job demands-resources model: state of the art. J Manag Psychol. 2007;22:309–28.CrossRefGoogle Scholar
  12. 12.
    Rijs KJ, Van der Pas S, Geuskens GA, Cozijnsen R, Koppes LL, van der Beek AJ, et al. Development and validation of a physical and psychosocial job-exposure matrix in older and retired workers. Ann Occup Hyg. 2013. doi: 10.1093/annhyg/met052.
  13. 13.
    Van Sonsbeek JLA. Het eigen oordeel over de gezondheid; methodische effecten bij het gezondheidsoordeel in gezondheidsenquetes [The self-rating of health: methodological effects of the rating of health in health interview surveys]. Maandbericht Gezondheid. 1991;10:15–23.Google Scholar
  14. 14.
    Beekman AT, Deeg DJ, Van LJ, Braam AW, De Vries MZ, Van TW. Criterion validity of the Center for Epidemiologic Studies Depression scale (CES-D): results from a community-based sample of older subjects in The Netherlands. Psychol Med. 1997;27:231–5.PubMedCrossRefGoogle Scholar
  15. 15.
    Radloff LS. The CES-D Scale: a self-report depression scale for research in the general population. J Appl Psychol Meas. 1977;1:385–401.CrossRefGoogle Scholar
  16. 16.
    Radloff LS. Use of Center for Epidemiological Studies-Depression Scale with older adults. Clinical Gerontol. 1986;5:119–36.CrossRefGoogle Scholar
  17. 17.
    McWhinnie JR. Disability assessment in population surveys: results of the O.E.C.D. Common Development Effort. Rev Epidemiol Sante Publique. 1981;29:413–9.PubMedGoogle Scholar
  18. 18.
    Van Sonsbeek JLA. Methodological and substantial aspects of the OECD indicator of chronic functional limitations. Maandbericht Gezondheid. 1988;88:4–17.Google Scholar
  19. 19.
    Deeg DJ. Longitudinal characterization of course types of functional limitations. Disabil Rehabil. 2005;27:253–61.PubMedCrossRefGoogle Scholar
  20. 20.
    Pearlin LI, Schooler C. The structure of coping. J Health Soc Behav. 1978;19:2–21.PubMedCrossRefGoogle Scholar
  21. 21.
    Bisschop MI, Kriegsman DM, Beekman AT, Deeg DJ. Chronic diseases and depression: the modifying role of psychosocial resources. Soc Sci Med. 2004;59:721–33.PubMedCrossRefGoogle Scholar
  22. 22.
    Rosenberg M. Society and the adolescent self-image. Princeton, NJ: Princeton University Press; 1965.Google Scholar
  23. 23.
    Steunenberg B, Twisk JW, Beekman AT, Deeg DJ, Kerkhof AJ. Stability and change of neuroticism in aging. J Gerontol B Psychol. 2005;60:27–33.CrossRefGoogle Scholar
  24. 24.
    Luteijn F, Starren J, Van Dijk H. Handleiding bij de Nederlandse Persoonlijkheidsvragenlijst [Manual of the Dutch Personality Questionnaire]. Lisse: Swets & Zeitlinger; 1975.Google Scholar
  25. 25.
    Smits CH, Deeg DJ, Jonker C. Cognitive and emotional predictors of disablement in older adults. J Aging Health. 1997;9:204–21.PubMedCrossRefGoogle Scholar
  26. 26.
    Dyer AR. A method for combining results from several prospective epidemiologic studies. Stat Med. 1986;5:303–17.PubMedCrossRefGoogle Scholar
  27. 27.
    Noale M, Minicuci N, Bardage C, Gindin J, Nikula S, Pluijm S, et al. Predictors of mortality: an international comparison of socio-demographic and health characteristics from six longitudinal studies on aging: the CLESA project. Exp Gerontol. 2005;40:89–99.PubMedCrossRefGoogle Scholar
  28. 28.
    Karpansalo M, Manninen P, Lakka TA, Kauhanen J, Rauramaa R, Salonen JT. Physical workload and risk of early retirement: prospective population-based study among middle-aged men. J Occup Environ Med. 2002;44:930–9.PubMedCrossRefGoogle Scholar
  29. 29.
    Lund T, Villadsen E. Who retires early and why? Determinants of early retirement pension among Danish employees 57–62 years. Eur J Ageing. 2005;2:275–80.CrossRefGoogle Scholar
  30. 30.
    Leinonen T, Pietilainen O, Laaksonen M, Rahkonen O, Lahelma E, Martikainen P. Occupational social class and disability retirement among municipal employees—the contribution of health behaviors and working conditions. Scand J Work Environ Health. 2011;37:464–72.PubMedCrossRefGoogle Scholar
  31. 31.
    Robroek SJ, Schuring M, Croezen S, Stattin M, Burdorf A. Poor health, unhealthy behaviors, and unfavorable work characteristics influence pathways of exit from paid employment among older workers in Europe: a four year follow-up study. Scand J Work Environ Health. 2013;39:125–33.PubMedCrossRefGoogle Scholar
  32. 32.
    Sejbaek CS, Nexo MA, Borg V. Work-related factors and early retirement intention: a study of the Danish eldercare sector. Eur J Public Health. 2013;23:611–16.Google Scholar
  33. 33.
    Laine S, Gimeno D, Virtanen M, Oksanen T, Vahtera J, Elovainio M, et al. Job strain as a predictor of disability pension: the Finnish Public Sector Study. J Epidemiol Community Health. 2009;63:24–30.PubMedCrossRefGoogle Scholar
  34. 34.
    Leijten F, van den Heuvel S, Geuskens G, Ybema JF, de Wind A, Burdorf A, et al. How do older employees with health problems remain productive at work?: a qualitative study. J Occup Rehabil. 2013;23:115–24.PubMedCrossRefGoogle Scholar
  35. 35.
    Blekesaune M, Solem PE. Working conditions and early retirement—a prospective study of retirement behavior. Res Aging. 2005;27:3–30.CrossRefGoogle Scholar
  36. 36.
    Friis K, Ekholm O, Hundrup YA, Obel EB, Gronbaek M. Influence of health, lifestyle, working conditions, and sociodemography on early retirement among nurses: the Danish Nurse Cohort Study. Scand J Public Health. 2007;35:23–30.PubMedCrossRefGoogle Scholar
  37. 37.
    Szubert Z, Sobala W. Current determinants of early retirement among blue collar workers in Poland. Int J Occup Med Environ Health. 2005;18:177–84.PubMedGoogle Scholar
  38. 38.
    Karpansalo M, Kauhanen J, Lakka TA, Manninen P, Kaplan GA, Salonen JT. Depression and early retirement: prospective population based study in middle aged men. J Epidemiol Community Health. 2005;59:70–4.PubMedCentralPubMedCrossRefGoogle Scholar
  39. 39.
    Rice NE, Lang IA, Henley W, Melzer D. Common health predictors of early retirement: findings from the english longitudinal study of ageing. Age Ageing. 2011;40:54–61.PubMedCrossRefGoogle Scholar
  40. 40.
    Grav S, Stordal E, Romild UK, Hellzen O. The relationship among neuroticism, extraversion, and depression in the HUNT Study. In relation to age and gender. Issues Ment Health Nurs. 2012;33:777–85.PubMedCrossRefGoogle Scholar
  41. 41.
    Bradley GL. Work-induced changes in feelings of mastery. J Psychol. 2010;144:97–119.PubMedCrossRefGoogle Scholar
  42. 42.
    Boot CR, Heijmans M, van der Gulden JW, Rijken M. The role of illness perceptions in labor participation of the chronically ill. Int Arch Occup Environ Health. 2008;82:13–20.PubMedCentralPubMedCrossRefGoogle Scholar
  43. 43.
    Detaille SI, Heerkens YF, Engels JA, van der Gulden JW, van Dijk FJ. Common prognostic factors of work disability among employees with a chronic somatic disease: a systematic review of cohort studies. Scand J Work Environ Health. 2009;35:261–81.PubMedCrossRefGoogle Scholar
  44. 44.
    Karpansalo M, Manninen P, Kauhanen J, Lakka TA, Salonen JT. Perceived health as a predictor of early retirement. Scand J Work Environ Health. 2004;30:287–92.PubMedCrossRefGoogle Scholar
  45. 45.
    Elovainio M, Kivimaki M, Vahtera J, Ojanlatva A, Korkeila K, Suominen S, et al. Social support, early retirement, and a retirement preference: a study of 10,489 Finnish adults. J Occup Environ Med. 2003;45:433–9.PubMedCrossRefGoogle Scholar
  46. 46.
    Kim H, DeVaney SA. The selection of partial or full retirement by older workers. J Fam Econ Issues. 2005;26:371–94.CrossRefGoogle Scholar
  47. 47.
    Brockmann H, Muller R, Helmert U. Time to retire—time to die? A prospective cohort study of the effects of early retirement on long-term survival. Soc Sci Med. 2009;69:160–4.PubMedCrossRefGoogle Scholar
  48. 48.
    de Wind A, Geuskens GA, Reeuwijk KG, Westerman MJ, Ybema JF, Burdorf A, et al. Pathways through which health influences early retirement: a qualitative study. BMC Public Health. 2013;13:292.PubMedCentralPubMedCrossRefGoogle Scholar
  49. 49.
    Boot CR, van Exel NJ, van der Gulden JW. “My lung disease won’t go away, it’s there to stay”: profiles of adaptation to functional limitations in workers with asthma and COPD. J Occup Rehabil. 2009;19:284–92.PubMedCentralPubMedCrossRefGoogle Scholar
  50. 50.
    Reeuwijk KG, de Wind A, Westerman MJ, Ybema JF, van der Beek AJ, Geuskens GA. ‘All those things together made me retire’: qualitative study on early retirement among Dutch employees. BMC Public Health. 2013;13:516.PubMedCentralPubMedCrossRefGoogle Scholar
  51. 51.
    Boot CR, van den Heuvel SG, Bultmann U, de Boer AG, Koppes LL, van der Beek AJ. Work adjustments in a representative sample of employees with a chronic disease in the Netherlands. J Occup Rehabil. 2013;23:157–61.PubMedCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Cécile R. L. Boot
    • 1
    • 2
  • Dorly J. H. Deeg
    • 3
  • Tineke Abma
    • 4
  • Kelly J. Rijs
    • 3
  • Suzan van der Pas
    • 3
  • Theo G. van Tilburg
    • 5
  • Allard J. van der Beek
    • 1
    • 2
  1. 1.Department of Public and Occupational Health, EMGO Institute for Health and Care ResearchVU University Medical CenterAmsterdamThe Netherlands
  2. 2.Body@Work, Research Center On Physical Activity Work and HealthAmsterdamThe Netherlands
  3. 3.Department of Epidemiology and Biostatistics, Longitudinal Aging Study Amsterdam, EMGO Institute for Health and Care ResearchVU University Medical Center AmsterdamAmsterdamThe Netherlands
  4. 4.Department of Metamedica/Medical Humanities, EMGO Institute for Health and Care ResearchVU University Medical Center AmsterdamAmsterdamThe Netherlands
  5. 5.Department of SociologyVU University AmsterdamAmsterdamThe Netherlands

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