ORIGINAL ARTICLE
Figure from article: The impact of cumulative...
 
KEYWORDS
ABSTRACT
Objective(s):
This study aimed to examine associations between cumulative years of biomechanical and psychosocial job exposures and premature labor market exit among older workers within a competing risks framework.

Methods:
Using linked registry data and gender-specific job-exposure matrices, we constructed measures of cumulative years of biomechanical and psychosocial job exposures over the 30 years preceding baseline. A cohort of Norwegian workers (N=339 227) was followed from age 50 for up to 17 years, until statutory retirement age of 67 years. Fine & Gray competing risk models estimated subdistribution hazard ratios (SHR) for health-related exit, early retirement, and unemployment, stratified by gender.

Results:
Several exposures were positively associated with the cumulative incidence of specific exit routes. Among men, the highest SHR per additional year of exposure were observed for standing/walking for health-related exit [SHR 1.013, 95% confidence interval (CI) 1.011–1.015], low decision authority for early retirement (SHR 1.008, 95% CI 1.006–1.008), and forward bending for unemployment (SHR 1.009, 95% CI 1.005–1.013). Among women, the highest SHR were observed for standing/walking for health-related exit (SHR 1.012, 95% CI 1.010–1.015), conflicting work methods for early retirement (SHR 1.017, 95% CI 1.014–1.019), and monotonous work for unemployment (SHR 1.034, 95% CI 1.027–1.041). Several biomechanical and psychosocial exposures showed inverse associations, which could be attributable to the higher cumulative incidence of competing exit routes in the Fine & Gray framework.

Conclusion(s):
Within a competing-risks framework, cumulative years of biomechanical and psychosocial exposures were associated with distinct labor market exit patterns among older workers, highlighting the importance of incorporating work histories and competing routes into intervention design.
REFERENCES (44)
1.
d’Errico A, Falkstedt D, Almroth M, Badarin K, Hemmingsson T, Kjellberg K. Long-term sick leave for back pain, exposure to physical workload and psychosocial factors at work, and risk of disability and early-age retirement among aged Swedish workers. Int Arch Occup Environ Health 2022 Sep;95(7):1521–35. https://doi.org/10.1007/s00420....
 
2.
Lahelma E, Laaksonen M, Lallukka T, Martikainen P, Pietiläinen O, Saastamoinen P et al. Working conditions as risk factors for disability retirement: a longitudinal register linkage study. BMC Public Health 2012 Apr;12(1):309. https://doi.org/10.1186/1471-2....
 
3.
Sundstrup E, Hansen ÅM, Mortensen EL, Poulsen OM, Clausen T, Rugulies R et al. Cumulative occupational mechanical exposures during working life and risk of sickness absence and disability pension: prospective cohort study. Scand J Work Environ Health 2017 Sep;43(5):415–25. https://doi.org/10.5271/sjweh.....
 
4.
Sundstrup E, Hansen ÅM, Mortensen EL, Poulsen OM, Clausen T, Rugulies R et al. Retrospectively assessed physical work environment during working life and risk of sickness absence and labour market exit among older workers. Occup Environ Med 2018 Feb;75(2):114–23. https://doi.org/10.1136/oemed-....
 
5.
Clausen T, Burr H, Borg V. Do psychosocial work conditions predict risk of disability pensioning? An analysis of register-based outcomes using pooled data on 40,554 observations. Scand J Public Health 2014 Jun;42(4):377–84. https://doi.org/10.1177/140349....
 
6.
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 Mar;39(2):125–33. https://doi.org/10.5271/sjweh.....
 
7.
Andersen LL, Pedersen J, Sundstrup E, Thorsen SV, Rugulies R. High physical work demands have worse consequences for older workers: prospective study of long-term sickness absence among 69 117 employees. Occup Environ Med 2021 Nov;78(11):829–34. https://doi.org/10.1136/oemed-....
 
8.
Andersen LL, Thorsen SV, Flyvholm MA, Holtermann A. Long-term sickness absence from combined factors related to physical work demands: prospective cohort study. Eur J Public Health 2018 Oct;28(5):824–9. https://doi.org/10.1093/eurpub....
 
9.
Sterud T. Work-related mechanical risk factors for long-term sick leave: a prospective study of the general working population in Norway. Eur J Public Health 2014 Feb;24(1):111–6. https://doi.org/10.1093/eurpub....
 
10.
Lund T, Villadsen E. Who retires early and why? Determinants of early retirement pension among Danish employees 57-62 years. Eur J Ageing 2005 Nov;2(4):275–80. https://doi.org/10.1007/s10433....
 
11.
Sundstrup E, Thorsen SV, Rugulies R, Larsen M, Thomassen K, Andersen LL. Importance of the working environment for early retirement: Prospective cohort study with register follow-up. Int J Environ Res Public Health 2021 Sep;18(18):9817. https://doi.org/10.3390/ijerph....
 
12.
Shiri R, Poutanen J, Haukka E, Härmä M, Ervasti J. Risk factors for voluntary early old-age retirement in middle-aged workers: A meta-analysis. Scand J Work Environ Health 2025 Nov;51(6):458–71. https://doi.org/10.5271/sjweh.....
 
13.
Thorsen SV, Jensen PH, Bjørner JB. Psychosocial work environment and retirement age: a prospective study of 1876 senior employees. Int Arch Occup Environ Health 2016 Aug;89(6):891–900. https://doi.org/10.1007/s00420....
 
14.
Eyjólfsdóttir HS, Hellevik T, Herlofson K, Pedersen AW, Lennartsson C, Veenstra M. Poor psychosocial work environment: a ticket to retirement? Variations by gender and education. Eur J Ageing 2025 Apr;22(1):18. https://doi.org/10.1007/s10433....
 
15.
Lund T, Iversen L, Poulsen KB. Work environment factors, health, lifestyle and marital status as predictors of job change and early retirement in physically heavy occupations. Am J Ind Med 2001 Aug;40(2):161–9. https://doi.org/10.1002/ajim.1....
 
16.
d’Errico A, Burr H, Pattloch D, Kersten N, Rose U. Working conditions as risk factors for early exit from work-in a cohort of 2351 employees in Germany. Int Arch Occup Environ Health 2021 Jan;94(1):117–38. https://doi.org/10.1007/s00420....
 
17.
Shiri R, Poutanen J, Härmä M, Ervasti J, Haukka E. A meta-analysis of unemployment risk factors for middle-aged workers. Scand J Work Environ Health 2025 May;51(3):135–45. https://doi.org/10.5271/sjweh.....
 
18.
Bakker AB, Demerouti E. The Job Demands‐Resources model: state of the art. J Manag Psychol 2007;22(3):309–28. https://doi.org/10.1108/026839....
 
19.
Blekesaune M, Solem PE. Working conditions and early retirement: A prospective study of retirement behavior. Res Aging 2005;27(1):3–30. https://doi.org/10.1177/016402....
 
20.
Hasting RL, Oude Hengel KM, Leinonen T, Bültmann U, Mehlum IS, Burdorf A et al. Mapping dynamic working life patterns and the impact of occupational exposures: a scoping review. BMC Public Health 2025 Jul;25(1):2322. https://doi.org/10.1186/s12889....
 
21.
Amick BC, McLeod CB, Bültmann U. Labor markets and health: an integrated life course perspective. Scand J Work Environ Health 2016 Jul;42(4):346–53. https://doi.org/10.5271/sjweh.....
 
22.
Bültmann U, Broberg K, Selander J. Integrating a life course perspective in work environment and health research: empirical challenges and interdisciplinary opportunities. Scand J Work Environ Health 2024 Jul;50(5):311–6. https://doi.org/10.5271/sjweh.....
 
23.
Hasting RL, Merkus SL, Undem K, Kirkeleit J, Hoff R, Gran JM et al. Cohort Profile: The Nor-Work Cohort. Int J Epidemiol 2025 Feb;54(2):dyaf019. https://doi.org/10.1093/ije/dy....
 
24.
Merkus SL, Hoff R, Hasting RL, Undem K, Robroek SJ, Gran JM et al. Gender and educational differences in work participation and working years lost in Norway. Scand J Work Environ Health 2024 Sep;50(6):426–36. https://doi.org/10.5271/sjweh.....
 
25.
Dahl EH, Lien OC. Pensjonsreformen–flere eldre i arbeid [The pension reform - more older people in work]. Arbeid og velferd. 2013;1:58–71.
 
26.
NAV. Disability benefit 2024 [updated 20.08.2025]. Available from: https://www.nav.no/uforetrygd/....
 
27.
NAV. Work assessment allowance 2024 [updated 09.01.2026]. Available from: https://www.nav.no/aap/en.
 
28.
NAV. Sickness benefits 2024 [updated 11.02.2026]. Available from: https://www.nav.no/sykepenger/....
 
29.
NAV. Unemployment benefits 2026 [updated 17.02.2026]. Available from: https://www.nav.no/dagpenger/e....
 
30.
Undem K, Leinonen T, Kristensen P, Merkus SL, Hasting RL, Gran JM et al. Gender differences in associations between biomechanical and psychosocial work exposures and age of withdrawal from paid employment among older workers. Int J Environ Res Public Health 2022 Aug;19(17):10563. https://doi.org/10.3390/ijerph....
 
31.
Hermansen Å, Dahl E. Constructing and validating an occupational mechanical job exposure index based on five Norwegian nationwide surveys of living conditions on work environment. BMC Public Health 2022 Nov;22(1):2028. https://doi.org/10.1186/s12889....
 
32.
Le GH, Hermansen Å, Dahl E. Constructing and validating an occupational job strain index based on five Norwegian nationwide surveys of living conditions on work environment. BMC Public Health 2023 Jan;23(1):50. https://doi.org/10.1186/s12889....
 
33.
Statistics Norway. Norwegian Survey of Living Conditions 2024 Available from: https://www.ssb.no/en/innrappo....
 
34.
Karasek RA. Job demands, job decision latitude, and mental strain: Implications for job redesign. Adm Sci Q 1979;24(2):285–308. https://doi.org/10.2307/239249....
 
35.
Hanvold TN, Sterud T, Kristensen P, Mehlum IS. Mechanical and psychosocial work exposures: the construction and evaluation of a gender-specific job exposure matrix (JEM). Scand J Work Environ Health 2019 May;45(3):239–47. https://doi.org/10.5271/sjweh.....
 
36.
Fine JP, Gray RJ. A Proportional hazards model for the subdistribution of a competing risk. J Am Stat Assoc 1999;94(446):496–509. https://doi.org/10.1080/016214....
 
37.
Austin PC, Fine JP. Practical recommendations for reporting Fine-Gray model analyses for competing risk data. Stat Med 2017 Nov;36(27):4391–400. https://doi.org/10.1002/sim.75....
 
38.
Dalene KE, Tarp J, Selmer RM, Ariansen IK, Nystad W, Coenen P et al. Occupational physical activity and longevity in working men and women in Norway: a prospective cohort study. Lancet Public Health 2021 Jun;6(6):e386–95. https://doi.org/10.1016/S2468-....
 
39.
Horan KA, Nakahara WH, DiStaso MJ, Jex SM. A review of the Challenge-Hindrance Stress Model: recent advances, expanded paradigms, and recommendations for future research. Front Psychol 2020 Nov 5;11:560346. https://doi.org/10.3389/fpsyg.....
 
40.
Chowdhury R, Shah D, Payal AR. Healthy worker effect phenomenon: revisited withemphasis on statistical methods - a review. Indian J Occup Environ Med 2017;21(1):2–8. https://doi.org/10.4103/ijoem.....
 
41.
McMichael AJ. Standardized mortality ratios and the “healthy worker effect”: scratching beneath the surface. J Occup Med 1976 Mar;18(3):165–8. https://doi.org/10.1097/000437....
 
42.
Peters S. Although a valuable method in occupational epidemiology, job-exposure -matrices are no magic fix. Scand J Work Environ Health 2020 May;46(3):231–4. https://doi.org/10.5271/sjweh.....
 
43.
Theorell T, Hasselhorn HM. On cross-sectional questionnaire studies of relationships between psychosocial conditions at work and health--are they reliable? Int Arch Occup Environ Health 2005 Aug;78(7):517–22. https://doi.org/10.1007/s00420....
 
44.
Christensen JO, Finne LB, Garde AH, Nielsen MB, Sørensen K, Vleeshouwers J. The influence of digitalization and new technologies on psychosocial work environment and employee health: a literature review. 2020. Report No.: Årg.21, Nr. 2. Available from: https://hdl.handle.net/11250/2....
 
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