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Formulations of Job Strain and Psychological Distress: A Four-year Longitudinal Study in Japan

  • Mayumi Saiki (School of Nursing, University of California, Los Angeles) ;
  • Timothy A. Matthews (Department of Environmental Health Sciences, Fielding School of Public Health, University of California, Los Angeles) ;
  • Norito Kawakami (Department of Digital Mental Health, Graduate School of Medicine, University of Tokyo) ;
  • Wendie Robbins (School of Nursing, University of California, Los Angeles) ;
  • Jian Li (School of Nursing, University of California, Los Angeles)
  • Received : 2023.07.18
  • Accepted : 2024.01.08
  • Published : 2024.03.30

Abstract

Background: Different job strain formulations based on the Job Demand-Control model have been developed. This study evaluated longitudinal associations between job strain and psychological distress and whether associations were influenced by six formulations of job strain, including quadrant (original and simplified), subtraction, quotient, logarithm quotient, and quartile based on quotient, in randomly selected Japanese workers. Methods: Data were from waves I and II of the Survey of Midlife in Japan (MIDJA), with a 4-year followup period. The study sample consisted of 412 participants working at baseline and had complete data on variables of interest. Associations between job strain at baseline and psychological distress at follow-up were assessed via multivariable linear regression, and results were expressed as β coefficients and 95% confidence intervals including R2 and Akaike information criterion (AIC) evaluation. Results: Crude models revealed that job strain formulations explained 6.93-10.30% of variance. The AIC ranged from 1475.87 to 1489.12. After accounting for sociodemographic and behavioral factors and psychological distress at baseline, fully-adjusted models indicated significant associations between all job strain formulations at baseline and psychological distress at follow-up: original quadrant (β: 1.16, 95% CI: 0.12, 2.21), simplified quadrant (β: 1.01, 95% CI: 0.18, 1.85), subtraction (β: 0.39, 95% CI: 0.09, 0.70), quotient (β: 0.37, 95% CI: 0.08, 0.67), logarithm quotient (β: 0.42, 95% CI: 0.12, 0.72), and quartile based on quotient (β: 1.22, 95% CI: 0.36, 2.08). Conclusion: Six job strain formulations showed robust predictive power regarding psychological distress over 4 years among Japanese workers.

Keywords

Acknowledgement

The Midlife in Japan (MIDJA) Study was supported by a grant from the U.S. National Institute on Aging (5R37AG027343). Ms. Saiki was supported by the Occupational and Environmental Health Nursing Program of the Southern California NIOSH Education and Research Center (SCERC) (Grant Agreement Number: T42 OH008412) from the U.S. Centers for Disease Control and Prevention (CDC). Its contents are solely the responsibility of the authors and do not necessarily represent the official view of the U.S. CDC.

References

  1. Karasek R, Theorell T. Healthy work: stress, productivity, and the reconstruction of working life. New York: Basic Books; 1990.
  2. Courvoisier DS, Perneger TV. Validation of alternative formulations of job strain. J Occup Health 2010;52(1):5-13. https://doi.org/10.1539/joh.L9084
  3. Gomez Ortiz V, Gonzalez A, Segura S. Associations of alternative operationalizations of job strain with health and well-being outcomes in the same multioccupational worker sample. Am J Ind Med 2020;63(6):550-9. https://doi.org/10.1002/ajim.23087
  4. 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/10.2307/2392498
  5. Landsbergis PA, Schnall PL, Warren K, Pickering TG, Schwartz JE. Association between ambulatory blood pressure and alternative formulations of job strain. Scand J Work Environ Health 1994;20(5):349-63. https://doi.org/10.5271/sjweh.1386
  6. Santavirta N, Solovieva S, Theorell T. The association between job strain and emotional exhaustion in a cohort of 1,028 Finnish teachers. Br J Educ Psychol 2007;77(1):213-28. https://doi.org/10.1348/000709905X92045
  7. Madsen IEH, Nyberg ST, Magnusson Hanson LL, Ferrie JE, Ahola K, Alfredsson L, Batty GD, Bjorner JB, Borritz M, Burr H, Chastang JF, de Graaf R, Dragano N, Hamer M, Jokela M, Knutsson A, Koskenvuo M, Koskinen A, Leineweber C, Niedhammer I, Nielsen ML, Nordin M, Oksanen T, Pejtersen JH, Pentti J, Plaisier I, Salo P, Singh-Manoux A, Suominen S, Ten Have M, Theorell T, Toppinen-Tanner S, Vahtera J, Vaananen A, Westerholm PJM, Westerlund H, Fransson EI, Heikkila K, Virtanen M, Rugulies R, Kivimaki M. Job strain as a risk factor for clinical depression: systematic review and metaanalysis with additional individual participant data. Psychol Med 2017;47(8):1342-56. https://doi.org/10.1017/S003329171600355X
  8. Hintsanen M, Kivimaki M, Elovainio M, Pulkki-Raback L, Keskivaara P, Juonala M, Raitakari OT, Keltikangas-Jarvinen L. Job strain and early atherosclerosis: the cardiovascular risk in young Finns study. Psychosom Med 2005;67(5):740-7. https://doi.org/10.1097/01.psy.0000181271.04169.93
  9. Li J, Yang W, Cho S-i. Gender differences in job strain, effort-reward imbalance, and health functioning among Chinese physicians. Soc Sci Med 2006;62(5):1066-77. https://doi.org/10.1016/j.socscimed.2005.07.011
  10. Matthews TA, Robbins W, Preisig M, von Kanel R, Li J. Associations of job strain and family strain with risk of major depressive episode: a prospective cohort study in U.S. working men and women. J Psychosom Res 2021;147:110541.
  11. Niedhammer I, Bertrais S, Witt K. Psychosocial work exposures and health outcomes: a meta-review of 72 literature reviews with meta-analysis. Scand J Work Environ Health 2021;47(7):489-508. https://doi.org/10.5271/sjweh.3968
  12. Ministry of Health Labour and Welfare. White paper on prevention of Karoshi 2020 [internet] [cited 2023 May 14]. Available from: https://www.mhlw.go. jp/stf/wp/hakusyo/karoushi/21/index.html 2021; 2021 [in Japanese].
  13. Nakao M. Work-related stress and psychosomatic medicine. Biopsychosoc Med 2010;4(1):4.
  14. Kessler RC, Barker PR, Colpe LJ, Epstein JF, Gfroerer JC, Hiripi E, Howes MJ, Normand SL, Manderscheid RW, Walters EE, Zaslavsky AM. Screening for serious mental illness in the general population. Arch Gen Psychiatry 2003;60(2):184-9. https://doi.org/10.1001/archpsyc.60.2.184
  15. Furukawa TA, Kawakami N, Saitoh M, Ono Y, Nakane Y, Nakamura Y, Tachimori H, Iwata N, Uda H, Nakane H, Watanabe M, Naganuma Y, Hata Y, Kobayashi M, Miyake Y, Takeshima T, Kikkawa T. The performance of the Japanese version of the K6 and K10 in the World mental Health Survey Japan. Int J Methods Psychiatr Res 2008;17(3):152-8. https://doi.org/10.1002/mpr.257
  16. Kawakami N, Fujigaki Y. Reliability and validity of the Japanese version of Job Content Questionnaire: replication and extension in computer company employees. Ind Health 1996;34(4):295-306. https://doi.org/10.2486/indhealth.34.295
  17. Kawakami N, Kobayashi F, Araki S, Haratani T, Furui H. Assessment of job stress dimensions based on the job demands- control model of employees of telecommunication and electric power companies in Japan: reliability and validity of the Japanese version of the Job Content Questionnaire. Int J Behav Med 1995;2(4):358-75. https://doi.org/10.1207/s15327558ijbm0204_5
  18. Sugiura-Ogasawara M, Suzuki S, Kitazawa M, Kuwae C, Sawa R, Shimizu Y, Takeshita T, Yoshimura Y. Career satisfaction level, mental distress, and gender differences in working conditions among Japanese obstetricians and gynecologists. J Obstet Gynaecol Res 2012;38(3):550-8. https://doi.org/10.1111/j.1447-0756.2011.01765.x
  19. Oshio T, Tsutsumi A, Inoue A, Suzuki T, Miyaki K. The reciprocal relationship between sickness presenteeism and psychological distress in response to job stressors: evidence from a three-wave cohort study. J Occup Health 2017;59(6):552-61. https://doi.org/10.1539/joh.17-0178-OA
  20. Oshio T, Inoue A, Tsutsumi A. Associations among job demands and resources, work engagement, and psychological distress: fixed-effects model analysis in Japan. J Occup Health 2018;60(3):254-62. https://doi.org/10.1539/joh.2017-0293-OA
  21. Oshio T, Inoue A, Tsutsumi A. Role ambiguity as an amplifier of the association between job stressors and workers' psychological ill-being: evidence from an occupational survey in Japan. J Occup Health 2021;63(1).
  22. Ikeda S, Eguchi H, Hiro H, Mafune K, Koga K, Nishimura K, Nakashima M. Workfamily spillover, job demand, job control, and workplace social support affect the mental health of home-visit nursing staff. J UOEH 2021;43(1):51-60. https://doi.org/10.7888/juoeh.43.51
  23. Eguchi H, Hino A, Inoue A, Tsuji M, Tateishi S, Ando H, Nagata T, Matsuda S, Fujino Y. Effect of anxiety about COVID-19 Infection in the workplace on the association between job demands and psychological distress. Front Public Health 2021;9:722071.
  24. Eguchi H, Inoue A, Hino A, Tsuji M, Tateishi S, Ikegami K, Nagata T, Matsugaki R, Fujino Y, On Behalf Of The CP. Effect of working from home on the association between job demands and psychological distress. Int J Environ Res Public Health 2022;19(10).
  25. Oshio T, Inoue A, Tsutsumi A. The mediating and moderating effects of workplace social capital on the associations between adverse work characteristics and psychological distress among Japanese workers. Ind Health 2014;52(4):313-23. https://doi.org/10.2486/indhealth.2014-0032
  26. Oshio T, Tsutsumi A, Inoue A. Do time-invariant confounders explain away the association between job stress and workers' mental health? Evidence from Japanese occupational panel data. Soc Sci Med 2015;126:138-44. https://doi.org/10.1016/j.socscimed.2014.12.021
  27. Oshio T, Inoue A, Tsutsumi A. Examining the mediating effect of work-tofamily conflict on the associations between job stressors and employee psychological distress: a prospective cohort study. BMJ Open 2017;7(8).
  28. Ryff CD, Kitayam S, Karasawa M, Markus H, Kawakami N, Coe C. Survey of midlife in Japan (MIDJA), April-September 2008. Inter-university Consortium for Political and Social Research; 2018.
  29. Ryff CD, Kitayama S, Karasawa M, Markus H, Kawakami N, Coe C. Survey of midlife in Japan (MIDJA 2), May-October 2012. Inter-university Consortium for Political and Social Research; 2018.
  30. Karasek R, Brisson C, Kawakami N, Houtman I, Bongers P, Amick B. The job content questionnaire (JCQ): an instrument for internationally comparative assessments of psychosocial job characteristics. J Occup Health Psychol 1998;3(4):322-55. https://doi.org/10.1037/1076-8998.3.4.322
  31. Kessler RC, Andrews G, Colpe LJ, Hiripi E, Mroczek DK, Normand SLT, Walters EE, Zaslavsky AM. Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychol Med 2002;32(6):959-76. https://doi.org/10.1017/S0033291702006074
  32. Boylan JM, Tsenkova VK, Miyamoto Y, Ryff CD. Psychological resources and glucoregulation in Japanese adults: findings from MIDJA. Health Psychol 2017;36(5):449-57. https://doi.org/10.1037/hea0000455
  33. Portet S. A primer on model selection using the Akaike Information Criterion. Infect Dis Model 2020;5:111-28. https://doi.org/10.1016/j.idm.2019.12.010
  34. Kouvonen A, Kivimaki M, Vaananen A, Heponiemi T, Elovainio M, AlaMursula L, Virtanen M, Pentti J, Linna A, Vahtera J. Job strain and adverse health behaviors: the Finnish Public Sector Study. J Occup Environ Med 2007;49(1):68-74. https://doi.org/10.1097/JOM.0b013e31802db54a
  35. Jarvelin-Pasanen S, Sinikallio S, Tarvainen MP. Heart rate variability and occupational stress-systematic review. Ind Health 2018;56(6):500-11. https://doi.org/10.2486/indhealth.2017-0190
  36. Hausser JA, Mojzisch A, Niesel M, Schulz-Hardt S. Ten years on: a review of recent research on the job demand-control (-support) model and psychological well-being. Work and Stress 2010;24(1):1-35. https://doi.org/10.1080/02678371003683747
  37. Orpana HM, Lemyre L, Gravel R. Income and psychological distress: the role of the social environment. Health Rep 2009;20(1):21-8.
  38. Stansfeld SA, Shipley MJ, Head J, Fuhrer R. Repeated job strain and the risk of depression: longitudinal analyses from the Whitehall II study. Am J Public Health 2012;102(12):2360-6. https://doi.org/10.2105/AJPH.2011.300589
  39. Podsakoff PM, MacKenzie SB, Lee JY, Podsakoff NP. Common method biases in behavioral research: a critical review of the literature and recommended remedies. J Appl Psychol 2003;88(5):879-903. https://doi.org/10.1037/0021-9010.88.5.879
  40. Nigatu YT, Wang J. The combined effects of job demand and control, effortreward imbalance and work-family conflicts on the risk of major depressive episode: a 4-year longitudinal study. Occup Environ Med 2018;75(1):6-11. https://doi.org/10.1136/oemed-2016-104114
  41. Kim EY, Kim SH. Job change among early career nurses and related factors: a postgraduation 4-year follow-up study. J Nurs Manag 2022;30(7):3083-92. https://doi.org/10.1111/jonm.13713
  42. Shoman Y, Ranjbar S, Strippoli MP, von Kanel R, Preisig M, Guseva Canu I. Relationship between effort-reward imbalance, over-commitment and occupational burnout in the general population: a prospective cohort study. Int J Public Health 2023;68:1606160.
  43. Kondo K, Kobayashi Y, Hirokawa K, Tsutsumi A, Kobayashi F, Haratani T, Araki S, Kawakami N. Job strain and sick leave among Japanese employees: a longitudinal study. Int Arch Occup Environ Health 2006;79(3):213-9. https://doi.org/10.1007/s00420-005-0027-x
  44. Tsutsumi A, Kayaba K, Kario K, Ishikawa S. Prospective study on occupational stress and risk of stroke. Arch Intern Med 2009;169(1):56-61. https://doi.org/10.1001/archinternmed.2008.503
  45. Ministry of Health Labour and Welfare. Occupational health and safety survey 2018 [internet] [cited 2022 August 31]. Available from: https://www.mhlw. go.jp/toukei/list/h30-46-50b.html; 2018 [in Japanese].
  46. McEwen BS. Protective and damaging effects of stress mediators. N Engl J Med 1998;338(3):171-9. https://doi.org/10.1056/NEJM199801153380307