IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i17p10549-d896405.html
   My bibliography  Save this article

Sustainable Working Life Patterns in a Swedish Twin Cohort: Age-Related Sequences of Sickness Absence, Disability Pension, Unemployment, and Premature Death during Working Life

Author

Listed:
  • Annina Ropponen

    (Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, 17177 Stockholm, Sweden
    Finnish Institute of Occupational Health, 00032 Työterveyslaitos, Finland)

  • Pontus Josefsson

    (Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, 17177 Stockholm, Sweden)

  • Petri Böckerman

    (IZA Institute of Labor Economics, 53113 Bonn, Germany
    School of Business and Economics, University of Jyväskylä, 40014 Jyväskylä, Finland
    Labour Institute for Economic Research LABORE, 00100 Helsinki, Finland)

  • Karri Silventoinen

    (Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, 17177 Stockholm, Sweden
    Population Research Unit, Faculty of Social Sciences, University of Helsinki, 00014 Helsinki, Finland)

  • Jurgita Narusyte

    (Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, 17177 Stockholm, Sweden
    Center of Epidemiology and Community Medicine, Stockholm County Council, 104 31 Stockholm, Sweden)

  • Mo Wang

    (Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, 17177 Stockholm, Sweden)

  • Pia Svedberg

    (Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, 17177 Stockholm, Sweden)

Abstract

We aimed to investigate sustainable working life via age-related sequences of sickness absence (SA), disability pension (DP), unemployment (UE), premature death, and the influence of individual characteristics, accounting for familial confounding. The sample included monozygotic (MZ) and dizygotic (DZ) same-sexed twin pairs with register data ( n = 47,450) that were followed for 10 years in four age cohorts: 26–35 ( n = 9892), 36–45 ( n = 10,620), 46–55 ( n = 12,964) and 56–65 ( n = 13,974). A sequence analysis was done in a 7-element state space: 1. “Sustainable working life”: SA/DP 0–30 days and UE 0–90 days; 2. “Unemployment >90 days”: SA/DP 0–30 days and UE > 90 days; 3. “Moderate SA/DP”: SA/DP 30–180 days; 4. “Almost full year of SA/DP”: SA/DP 180–365 days; 5. “Full year of SA/DP”: SA/DP ≥ 365 days; 6. Death; 7. Old-age pension. The largest cluster had a sustainable working life and never experienced states 2–6 (34–59%). Higher education and being married predicted a lower likelihood of experiencing states 2–6. The MZ twin pairs (vs. DZ) were more often in the same cluster suggesting the role of genetic factors. To conclude, the sustainable working life was the largest cluster group. Few individuals had prolonged periods of interruptions of sustainable working life meriting actions, especially in early adulthood for interventions to support workability.

Suggested Citation

  • Annina Ropponen & Pontus Josefsson & Petri Böckerman & Karri Silventoinen & Jurgita Narusyte & Mo Wang & Pia Svedberg, 2022. "Sustainable Working Life Patterns in a Swedish Twin Cohort: Age-Related Sequences of Sickness Absence, Disability Pension, Unemployment, and Premature Death during Working Life," IJERPH, MDPI, vol. 19(17), pages 1-14, August.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:17:p:10549-:d:896405
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/17/10549/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/17/10549/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Christian Brzinsky-Fay & Ulrich Kohler & Magdalena Luniak, 2006. "Sequence analysis with Stata," Stata Journal, StataCorp LP, vol. 6(4), pages 435-460, December.
    2. Brendan Halpin, 2017. "SADI: Sequence analysis tools for Stata," Stata Journal, StataCorp LP, vol. 17(3), pages 546-572, September.
    3. Laura Serra & Kristin Farrants & Kristina Alexanderson & Mónica Ubalde & Tea Lallukka, 2022. "Trajectory analyses in insurance medicine studies: Examples and key methodological aspects and pitfalls," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-12, February.
    4. Annina Ropponen & Mo Wang & Jurgita Narusyte & Karri Silventoinen & Petri Böckerman & Pia Svedberg, 2021. "Sustainable Working Life in a Swedish Twin Cohort—A Definition Paper with Sample Overview," IJERPH, MDPI, vol. 18(11), pages 1-16, May.
    Full references (including those not matched with items on IDEAS)

    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. Júlia Mikolai & Hill Kulu, 2019. "Union dissolution and housing trajectories in Britain," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(7), pages 161-196.
    2. Liao, Tim F. & Bolano, Danilo & Brzinsky-Fay, Christian & Cornwell, Benjamin & Fasang, Anette Eva & Helske, Satu & Piccarreta, Raffaella & Raab, Marcel & Ritschard, Gilbert & Struffolino, Emanuela & S, 2022. "Sequence analysis: Its past, present, and future," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 107, pages 1-1.
    3. Elisabeth Beusch & Arthur Soest, 2020. "Labour Market Trajectories of the Self-employed in the Netherlands," De Economist, Springer, vol. 168(1), pages 109-146, March.
    4. Zhang, Nan & Nazroo, James & Vanhoutte, Bram, 2021. "The relationship between rural to urban migration in China and risk of depression in later life: An investigation of life course effects," Social Science & Medicine, Elsevier, vol. 270(C).
    5. Babette Bühler & Katja Möhring & Andreas P. Weiland, 2022. "Assessing dissimilarity of employment history information from survey and administrative data using sequence analysis techniques," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 4747-4774, December.
    6. Langena, Nina & Klink, Jeanette & Hartmann, Monika, 2013. "Individualized or non-individualized IDM: What elicits consumer preferences best?," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150637, Agricultural and Applied Economics Association.
    7. Szabó, Lajos Tamás, 2022. "A közfoglalkoztatottak jellemzői [The characteristics of public workers]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(10), pages 1114-1156.
    8. Jatta Salmela & Tea Lallukka & Elina Mauramo & Ossi Rahkonen & Noora Kanerva, 2020. "Body Mass Index Trajectory–Specific Changes in Economic Circumstances: A Person-Oriented Approach Among Midlife and Ageing Finns," IJERPH, MDPI, vol. 17(10), pages 1-13, May.
    9. Michael Anyadike-Danes & Duncan McVicar, 2010. "My Brilliant Career: Characterizing the Early Labor Market Trajectories of British Women From Generation X," Sociological Methods & Research, , vol. 38(3), pages 482-512, February.
    10. Carmichael, Fiona & Ercolani, Marco G., 2016. "Unpaid caregiving and paid work over life-courses: Different pathways, diverging outcomes," Social Science & Medicine, Elsevier, vol. 156(C), pages 1-11.
    11. ALBERT VERDÚ, Cecilia & DAVIA, María A., 2010. "Education And Labour Market Transitions Amongst Compulsory Education Graduates And School Dropouts," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 10(3).
    12. Laurent Lesnard, 2010. "Setting Cost in Optimal Matching to Uncover Contemporaneous Socio-Temporal Patterns," Sociological Methods & Research, , vol. 38(3), pages 389-419, February.
    13. Okka Zimmermann & Nicole Hameister, 2019. "Stable cohabitational unions increase quality of life: Retrospective analysis of partnership histories also reveals gender differences," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 40(24), pages 657-692.
    14. Arja Jolkkonen & Pertti Koistinen & Arja Kurvinen & Liudmila Lipiäinen & Tapio Nummi & Pekka Virtanen, 2018. "Labour Market Attachment Following Major Workforce Downsizings: A Comparison of Displaced and Retained Workers," Work, Employment & Society, British Sociological Association, vol. 32(6), pages 992-1010, December.
    15. Gabadinho, Alexis & Ritschard, Gilbert & Müller, Nicolas S & Studer, Matthias, 2011. "Analyzing and Visualizing State Sequences in R with TraMineR," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 40(i04).
    16. Sophie Hedges & Vahé Nafilyan & Stefan Speckesser & Augustin de Coulon, 2017. "Young people in low level vocational education: characteristics, trajectories and labour market outcomes," CVER Research Papers 004, Centre for Vocational Education Research.
    17. Fiona Carmichael & Christian K. Darko & Nicholas Vasilakos, 2022. "Well‐being and employment of young people in Ethiopia, India, Peru and Vietnam: Is work enough?," Development Policy Review, Overseas Development Institute, vol. 40(2), March.
    18. Eilers, Lea & Kramer, Anica & Tamm, Marcus, 2014. "Personen, die nicht am Erwerbsleben teilnehmen: Analyse sozio-ökonomischer Merkmale unter besonderer Berücksichtigung des Haushaltskontextes und Bestimmung des Arbeitskräftepotenzials," RWI Projektberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, number 111488, March.
    19. Qianhan Lin, 2013. "Lost in Transformation? The Employment Trajectories of China’s Cultural Revolution Cohort," The ANNALS of the American Academy of Political and Social Science, , vol. 646(1), pages 172-193, March.
    20. de Vuijst, Elise & van Ham, Maarten & Kleinhans, Reinout, 2015. "The Moderating Effect of Higher Education on Intergenerational Spatial Inequality," IZA Discussion Papers 9557, Institute of Labor Economics (IZA).

    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:gam:jijerp:v:19:y:2022:i:17:p:10549-:d:896405. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.