IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0025004.html
   My bibliography  Save this article

Self-Rated Health as a Predictor of Disability Retirement – The Contribution of Ill-Health and Working Conditions

Author

Listed:
  • Olli Pietiläinen
  • Mikko Laaksonen
  • Ossi Rahkonen
  • Eero Lahelma

Abstract

Objective: Self-rated health is a generic health indicator predicting mortality, many diseases, and need for care. We examined self-rated health as a predictor of subsequent disability retirement, and ill-health and working conditions as potential explanations for the association. Methods: Self-rated health and the covariates were obtained from the Helsinki Health Study baseline mail surveys in 2000–2002 conducted among municipal employees aged 40–60 years (n = 6525). Data for disability retirement events (n = 625) along with diagnoses were linked from the Finnish Centre for Pensions, with a follow-up by the end of 2010. Hazard ratios (HR) and their 95% confidence intervals (CI) were calculated using competing risks models. Results: Less than good self-rated health predicted disability retirement due to all causes among both women (HR = 4.60, 95% CI = 3.84–5.51) and men (HR = 3.83, 95% CI = 2.64–5.56), as well as due to musculoskeletal diseases (HR = 5.17, 95% CI = 4.02–6.66) and mental disorders (HR = 4.80, 95% CI = 3.50–6.59) among women and men pooled. Ill-health and physical working conditions partly explained the found associations, which nevertheless remained after the adjustments. Among the measures of ill-health limiting long-standing illness explained the association most in all-cause disability retirement and disability retirements due to musculoskeletal diseases, whereas common mental disorders explained the association most in disability retirements due to mental health disorders. Among working conditions physical work load and hazardous exposures at work explained the association most, although much less than ill-health. Conclusions: Self-rated health is a strong predictor of disability retirement. This can be partly explained by ill-health and working conditions. Poor self-rated health provides a useful marker for increased risk of work disability and subsequent disability retirement.

Suggested Citation

  • Olli Pietiläinen & Mikko Laaksonen & Ossi Rahkonen & Eero Lahelma, 2011. "Self-Rated Health as a Predictor of Disability Retirement – The Contribution of Ill-Health and Working Conditions," PLOS ONE, Public Library of Science, vol. 6(9), pages 1-7, September.
  • Handle: RePEc:plo:pone00:0025004
    DOI: 10.1371/journal.pone.0025004
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0025004
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0025004&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0025004?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jylhä, Marja, 2009. "What is self-rated health and why does it predict mortality? Towards a unified conceptual model," Social Science & Medicine, Elsevier, vol. 69(3), pages 307-316, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Joanna Jurewicz & Dorota Kaleta, 2020. "Correlates of Poor Self-Assessed Health Status among Socially Disadvantaged Populations in Poland," IJERPH, MDPI, vol. 17(4), pages 1-18, February.
    2. Katriina Heikkilä & Ellenor Mittendorfer-Rutz & Kristina Alexanderson & Marianna Virtanen, 2021. "Work Participation among Women and Men in Sweden: A Register Study of 8.5 Million Individuals," IJERPH, MDPI, vol. 18(9), pages 1-11, April.
    3. Ang'u, Cohen & Muthama, Nzioka John & Mutuku, Mwanthi Alexander & M’IKiugu, Mutembei Henry, 2023. "Analysis of energy poverty in Kenya and its implications for human health," Energy Policy, Elsevier, vol. 176(C).
    4. Tea Lallukka & Rahman Shiri & Olli Pietiläinen & Johanna Kausto & Hilla Sumanen & Jaana I. Halonen & Eero Lahelma & Ossi Rahkonen & Minna Mänty & Anne Kouvonen, 2020. "Timing of Entry into Paid Employment, Adverse Physical Work Exposures and Health: The Young Helsinki Health Study," IJERPH, MDPI, vol. 17(21), pages 1-15, October.
    5. Kristin Lork & Kristina Holmgren & Jenny Hultqvist, 2021. "Does the Number of Reasons for Seeking Care and Self-Rated Health Predict Sick Leave during the Following 12 Months? A Prospective, Longitudinal Study in Swedish Primary Health Care," IJERPH, MDPI, vol. 19(1), pages 1-13, December.
    6. Hanna Hultin & Christina Lindholm & Jette Möller, 2012. "Is There an Association between Long-Term Sick Leave and Disability Pension and Unemployment beyond the Effect of Health Status? – A Cohort Study," PLOS ONE, Public Library of Science, vol. 7(4), pages 1-7, April.
    7. Jana Mäcken, 2019. "Work stress among older employees in Germany: Effects on health and retirement age," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-13, February.
    8. Levinsky, Michal & Schiff, Miriam, 2021. "Lifetime cumulative adversity and physical health deterioration in old age: Evidence from a fourteen-year longitudinal study," Social Science & Medicine, Elsevier, vol. 289(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sophie Le Cœur & Aline Desesquelles & Elisabeth Morand & Cheeraya Kanabkaew & Éva Lelièvre, 2017. "Self-rated Health among HIV-infected People Receiving Treatments in Thailand," Asian Social Science, Canadian Center of Science and Education, vol. 13(1), pages 1-20, January.
    2. Yosuke Kasai & Etsuji Suzuki & Toshihide Iwase & Hiroyuki Doi & Soshi Takao, 2013. "Type D Personality Is Associated with Psychological Distress and Poor Self-Rated Health among the Elderly: A Population-Based Study in Japan," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-7, October.
    3. Xi Pan & Rose Ward, 2015. "Self-management and Self-rated Health Among Middle-aged and Older Adults with Type 2 Diabetes in China: A Structural Equation Model," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 120(1), pages 247-260, January.
    4. Jane K L Teh & Nai Peng Tey & Sor Tho Ng, 2014. "Ethnic and Gender Differentials in Non-Communicable Diseases and Self-Rated Health in Malaysia," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-8, March.
    5. Wolf, Jennifer Price & Freisthler, Bridget & McCarthy, Karla Shockley, 2021. "Parenting in poor health: Examining associations between parental health, prescription drug use, and child maltreatment," Social Science & Medicine, Elsevier, vol. 277(C).
    6. Zheng Xie & Adrienne N Poon & Zhijun Wu & Weiyan Jian & Kit Yee Chan, 2015. "Is Occupation a Good Predictor of Self-Rated Health in China?," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-18, May.
    7. Zimmer, Zachary & Prachuabmoh, Vipan, 2012. "Comparing the socioeconomic status – Health gradient among adults 50 and older across rural and urban areas of Thailand in 1994 and 2007," Social Science & Medicine, Elsevier, vol. 74(12), pages 1921-1928.
    8. Ilias‐Ioannis Kyriopoulos & Dimitris Zavras & Antonis Charonis & Kostas Athanasakis & Elpida Pavi & John Kyriopoulos, 2016. "Indebtedness, Socioeconomic Status, and Self‐Rated Health: Empirical Evidence From Greece," Poverty & Public Policy, John Wiley & Sons, vol. 8(4), pages 387-397, December.
    9. Amelie F. Constant & Teresa García-Muñoz & Shoshana Neuman & Tzahi Neuman, 2018. "A “healthy immigrant effect” or a “sick immigrant effect”? Selection and policies matter," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(1), pages 103-121, January.
    10. Zachary Zimmer & Luoman Bao & Nanette L. Mayol & Feinian Chen & Tita Lorna L. Perez & Paulita L. Duazo, 2017. "Functional limitation trajectories and their determinants among women in the Philippines," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 36(30), pages 863-892.
    11. Sascha de Breij & Martijn Huisman & Dorly J H Deeg, 2020. "Work characteristics and health in older workers: Educational inequalities," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-11, October.
    12. Nawi Ng & Mohammad Hakimi & Ailiana Santosa & Peter Byass & Siswanto Agus Wilopo & Stig Wall, 2012. "Is Self-Rated Health an Independent Index for Mortality among Older People in Indonesia?," PLOS ONE, Public Library of Science, vol. 7(4), pages 1-8, April.
    13. Paolo Brunori & Alain Trannoy & Caterina Francesca Guidi, 2021. "Ranking populations in terms of inequality of health opportunity: A flexible latent type approach," Health Economics, John Wiley & Sons, Ltd., vol. 30(2), pages 358-383, February.
    14. Della Sara & Lucchini Mario, 2015. "Modelling social inequalities in health in contemporary Switzerland," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(1), pages 39-50, January.
    15. Oluwafunmilade Adesanya A. & Bomar Mendez Rojas & Amadou Darboe & Idrissa Beogo, 2017. "Socioeconomic differential in self-assessment of health and happiness in 5 African countries: Finding from World Value Survey," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-12, November.
    16. Priscilla Duboz & Gilles Boëtsch & Lamine Gueye & Enguerran Macia, 2017. "Self-rated health in Senegal: A comparison between urban and rural areas," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-16, September.
    17. Miething, Alexander, 2013. "A matter of perception: Exploring the role of income satisfaction in the income–mortality relationship in German survey data 1995–2010," Social Science & Medicine, Elsevier, vol. 99(C), pages 72-79.
    18. Gunasekara, Fiona Imlach & Carter, Kristie & Blakely, Tony, 2012. "Comparing self-rated health and self-assessed change in health in a longitudinal survey: Which is more valid?," Social Science & Medicine, Elsevier, vol. 74(7), pages 1117-1124.
    19. Antonova, Liudmila & Bucher-Koenen, Tabea & Mazzonna, Fabrizio, 2017. "Long-term health consequences of recessions during working years," Social Science & Medicine, Elsevier, vol. 187(C), pages 134-143.
    20. Alison Reynolds & Claire E. Altman, 2018. "Subjective Health Assessments Among Older Adults in Mexico," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 37(5), pages 825-850, October.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0025004. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.