The Protective Role of Job Control/Autonomy on Mental Strain of Managers: A Cross-Sectional Study among Wittyfit's Users

Rémi Colin-Chevalier, Bruno Pereira, Amanda Clare Benson, Samuel Dewavrin, Thomas Cornet, Frédéric Dutheil, Rémi Colin-Chevalier, Bruno Pereira, Amanda Clare Benson, Samuel Dewavrin, Thomas Cornet, Frédéric Dutheil

Abstract

Background: Karasek's Job Demand-Control-Support model is the gold standard to assess the perception of work; however, this model has been poorly studied among managers. We aimed to explore the perception of work (job demand, control, and support) in managers, and to quantify their risk of job strain (high job demand and low job control) and isostrain (job strain with low job support).

Methods: We conducted a cross-sectional study on workers from various French companies using the Wittyfit software. Job demand, control, and support were evaluated by self-reported questionnaires, as well as sociodemographic data.

Results: We included 9257 workers: 8488 employees (median age of 45 years, median seniority of 10 years, 39.4% women) and 769 managers (463 were more than 45 years old, 343 with more than 10 years of service, 33.3% women). Managers had higher mean ± SD levels than employees in job control (79.2 ± 14.9 vs. 75.4 ± 16.9) and job support (25.2 ± 5.1 vs. 24.0 ± 6.1) (p < 0.001). Compared to employees, managers had a 37% decreased risk of job strain (OR = 0.63, 95% CI 0.52 to 0.77) and a 47% decreased risk of isostrain (OR = 0.53, 95% CI 0.40 to 0.69) (p < 0.001). Workers over age 45 (OR = 1.26, 95% CI 1.14 to 1.40, p < 0.001) and women (OR = 1.12, 95% CI 1.01 to 1. 25, p = 0.03) were at greater risk of job strain. Furthermore, workers over age 45 (OR = 1.51, 95% CI 1.32 to 1.73, p < 0.001), workers with over 10 years of service (OR = 1.35, 95% CI 1.16 to 1.56, p < 0.001), and women (OR = 1.15, 95% CI 1.00 to 1.31, p = 0.04) were at greater risk of isostrain.

Conclusions: Managers seem to have higher autonomy and greater social support and therefore are less at risk of job strain or isostrain than employees. Other factors such as age, seniority, and sex may influence this relationship.

Trial registration: Clinicaltrials.gov: NCT02596737.

Keywords: Karasek’s model; isostrain; job control; job demand; job strain; job support; manager; work.

Conflict of interest statement

R.C.-C., S.D. and T.C. are employed by Wittyfit. The other authors declare that no competing interests exist (F.D. is responsible for the scientific accuracy of Wittyfit but is not paid by Wittyfit; as previously published, Wittyfit is a public–private partnership with the CHU Clermont-Ferrand).

Figures

Figure 1
Figure 1
Flow chart of Wittyfit’s users.
Figure 2
Figure 2
Job demand, job control, and job support by position. Legend: *** p < 0.001.
Figure 3
Figure 3
Karasek’s Job Demand-Control-Support model. Point ranges are expressed as means and standard errors. Job demand varies from 9 to 36, job control from 24 to 96.
Figure 4
Figure 4
Prevalence of job strain and isostrain by job position. Legend: *** p < 0.001.
Figure 5
Figure 5
Sociodemographic factors of the Karasek model dimensions. A colored circle means that the measured effect is significant. The reference classes (REF) of the different parameters are the following: age: workers under 45; seniority: workers with less than 10 years of service; sex: male; job position: employee.
Figure 6
Figure 6
Sociodemographic factors of job strain and isostrain. A colored circle means that the measured effect is significant. The reference classes (REF) of the different parameters are the following: age: workers under 45; seniority: workers with under less than 10 years of service; sex: male; job position: employee.

References

    1. 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;3:322–355. doi: 10.1037/1076-8998.3.4.322.
    1. Karasek R., Baker D., Marxer F., Ahlbom A., Theorell T. Job decision latitude, job demands, and cardiovascular disease: A prospective study of Swedish men. Am. J. Public Health. 1981;71:694–705. doi: 10.2105/AJPH.71.7.694.
    1. Karasek R.A. Job Demands, Job Decision Latitude, and Mental Strain: Implications for Job Redesign. Adm. Sci. Q. 1979;24:285–308. doi: 10.2307/2392498.
    1. Johnson J.V., Hall E.M. Job strain, work place social support, and cardiovascular disease: A cross-sectional study of a random sample of the Swedish working population. Am. J. Public Health. 1988;78:1336–1342. doi: 10.2105/AJPH.78.10.1336.
    1. Karasek R., Theorell T. Healthy Work: Stress, Productivity, and the Reconstruction of Working Life. Basic Books; New York, NY, USA: 1990.
    1. Niedhammer I., Chastang J.F., Gendrey L., David S., Degioanni S. Psychometric properties of the French version of Karasek’s «Job Content Questionnaire» and its scales measuring psychological pressures, decisional latitude and social support: The results of the SUMER. Sante Publique. 2006;18:413–427. doi: 10.3917/spub.063.0413.
    1. Niedhammer I., Chastang J.-F., Levy D., David S., Degioanni S., Theorell T. Study of the validity of a job-exposure matrix for psychosocial work factors: Results from the national French SUMER survey. Int. Arch. Occup. Environ. Health. 2008;82:87–97. doi: 10.1007/s00420-008-0311-7.
    1. Collins S.M., Karasek R.A., Costas K. Job strain and autonomic indices of cardiovascular disease risk. Am. J. Ind. Med. 2005;48:182–193. doi: 10.1002/ajim.20204.
    1. Rugulies R., Krause N. Job strain, iso-strain, and the incidence of low back and neck injuries. A 7.5-year prospective study of San Francisco transit operators. Soc. Sci. Med. 2005;61:27–39. doi: 10.1016/j.socscimed.2004.11.042.
    1. Bugajska J., Jędryka-Góral A., Widerszal-Bazyl M., Orłowska-Baranowska E., Sagan A., Michalak J.M., Zuzewicz K., Konarska M. Job strain, overtime, life style, and cardiovascular risk in managers and physical workers. Int. J. Occup. Saf. Ergon. 2011;17:25–32. doi: 10.1080/10803548.2011.11076867.
    1. Kivimäki M., Nyberg S.T., Batty G.D., Fransson E.I., Heikkilä K., Alfredsson L., Bjorner J.B., Borritz M., Burr H., Casini A., et al. Job strain as a risk factor for coronary heart disease: A collaborative meta-analysis of individual participant data. Lancet. 2012;380:1491–1497. doi: 10.1016/S0140-6736(12)60994-5.
    1. Steptoe A., Kivimäki M. Stress and cardiovascular disease. Nat. Rev. Cardiol. 2012;9:360–370. doi: 10.1038/nrcardio.2012.45.
    1. Landsbergis P.A., Dobson M., Koutsouras G., Schnall P. Job strain and ambulatory blood pressure: A meta-znalysis and systematic review. Am. J. Public Health. 2013;103:e61–e71. doi: 10.2105/AJPH.2012.301153.
    1. Linton S.J., Kecklund G., Franklin K.A., Leissner L.C., Sivertsen B., Lindberg E., Svensson A.C., Hansson S.O., Sundin Ö., Hetta J., et al. The effect of the work environment on future sleep disturbances: A systematic review. Sleep Med. Rev. 2015;23:10–19. doi: 10.1016/j.smrv.2014.10.010.
    1. Wong C.A., Laschinger H.K.S. The influence of frontline manager job strain on burnout, commitment and turnover intention: A cross-sectional study. Int. J. Nurs. Stud. 2015;52:1824–1833. doi: 10.1016/j.ijnurstu.2015.09.006.
    1. Mutambudzi M., Javed Z. Job strain as a risk factor for incident diabetes mellitus in middle and older age U.S. workers. J. Gerontol. Ser. B. 2016;71:1089–1096. doi: 10.1093/geronb/gbw091.
    1. Madsen I.E.H., Nyberg S.T., Magnusson Hanson L.L., Ferrie J.E., Ahola K., Alfredsson L., Batty G., Bjorner J.B., Borritz M., Burr H., et al. Job strain as a risk factor for clinical depression: Systematic review and meta-analysis with additional individual participant data. Psychol. Med. 2017;47:1342–1356. doi: 10.1017/S003329171600355X.
    1. Ferrario M.M., Veronesi G., Bertù L., Grassi G., Cesana G. Job strain and the incidence of coronary heart diseases: Does the association differ among occupational classes? A contribution from a pooled analysis of Northern Italian cohorts. BMJ Open. 2017;7:e014119. doi: 10.1136/bmjopen-2016-014119.
    1. Jun D., O’Leary S., McPhail S.M., Johnston V. Job strain and psychological distress in office workers: The role of coping. Work. 2019;64:55–65. doi: 10.3233/PWOR-192968.
    1. Clinchamps M., Auclair C., Prunet D., Pfabigan D., Lesage F.-X., Baker J.S., Parreira L., Mermillod M., Gerbaud L., Dutheil F. Burnout among hospital non-healthcare staff: Influence of job demand-control-support, and effort-reward imbalance. J. Occup. Environ. Med. 2021;63:e13–e20. doi: 10.1097/JOM.0000000000002072.
    1. Wall T.D., Jackson P.R., Mullarkey S., Parker S.K. The demands—Control model of job strain: A more specific test. J. Occup. Organ. Psychol. 1996;69:153–166. doi: 10.1111/j.2044-8325.1996.tb00607.x.
    1. Gadinger M.C., Fischer J.E., Schneider S., Terris D.D., Krückeberg K., Yamamoto S., Frank G., Kromm W. Gender moderates the health-effects of job strain in managers. Int. Arch Occup. Environ. Health. 2010;83:531–541. doi: 10.1007/s00420-009-0477-7.
    1. Rivera-Torres P., Araque-Padilla R.A., Montero-Simó M.J. Job stress across gender: The importance of emotional and intellectual demands and social support in women. Int. J. Environ. Res. Public Health. 2013;10:375–389. doi: 10.3390/ijerph10010375.
    1. Bonsaksen T., Thørrisen M.M., Skogen J.C., Aas R.W. Who reported having a high-strain job, low-strain job, active job and passive job? The WIRUS Screening study. PLoS ONE. 2019;14:e0227336. doi: 10.1371/journal.pone.0227336.
    1. Bosma H., Peter R., Siegrist J., Marmot M. Two alternative job stress models and the risk of coronary heart disease. Am. J. Public Health. 1998;88:68–74. doi: 10.2105/AJPH.88.1.68.
    1. Wege N., Dragano N., Erbel R., Jockel K.-H., Moebus S., Stang A., Siegrist J. When does work stress hurt? Testing the interaction with socioeconomic position in the Heinz Nixdorf Recall Study. J. Epidemiol. Community Health. 2008;62:338–341. doi: 10.1136/jech.2007.062315.
    1. Backman A., Sjögren K., Lövheim H., Edvardsson D. Job strain in nursing homes-Exploring the impact of leadership. J. Clin. Nurs. 2018;27:1552–1560. doi: 10.1111/jocn.14180.
    1. Kim K.-W., Cho Y.-H. The Moderating Effect of Managerial Roles on Job Stress and Satisfaction by Employees’ Employment Type. Int. J. Environ. Res. Public Health. 2020;17:8259. doi: 10.3390/ijerph17218259.
    1. Brett J.M., Stroh L.K. Working 61 plus hours a week: Why do managers do it? J. Appl. Psychol. 2003;88:67–78. doi: 10.1037/0021-9010.88.1.67.
    1. Dutheil F., Duclos M., Naughton G., Dewavrin S., Cornet T., Huguet P., Chatard J.C., Pereira B. Wittyfit-live your work differently: Study protocol for a workplace-delivered health promotion. JMIR Res. Protoc. 2017;6:e6267. doi: 10.2196/resprot.6267.
    1. Lesage F.-X., Berjot S., Deschamps F. Clinical stress assessment using a visual analogue scale. Occup. Med. 2012;62:600–605. doi: 10.1093/occmed/kqs140.
    1. Dutheil F., Trousselard M., Perrier C., Lac G., Chamoux A., Duclos M., Naughton G., Mnatzaganian G., Schmidt J. Urinary interleukin-8 is a biomarker of stress in emergency physicians, especially with advancing age—The JOBSTRESS* randomized trial. PLoS ONE. 2013;8:e71658. doi: 10.1371/journal.pone.0071658.
    1. Dutheil F., Pereira B., Moustafa F., Naughton G., Lesage F.-X., Lambert C. At-risk and intervention thresholds of occupational stress using a visual analogue scale. PLoS ONE. 2017;12:e0178948. doi: 10.1371/journal.pone.0178948.
    1. Ben-Shachar M.S., Lüdecke D., Makowski D. effectsize: Estimation of effect size indices and standardized parameters. J. Open Source Softw. 2020;5:2815. doi: 10.21105/joss.02815.
    1. Funder D.C., Ozer D.J. Evaluating effect size in psychological research: Sense and nonsense. Adv. Methods Pract. Psychol. Sci. 2019;2:156–168. doi: 10.1177/2515245919847202.
    1. R Core Team . R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing; Vienna, Austria: 2021. [(accessed on 14 May 2021)]. Available online:
    1. Vanroelen C., Levecque K., Louckx F. Differential exposure and differential vulnerability as counteracting forces linking the psychosocial work environment to socioeconomic health differences. J. Epidemiol. Community Health. 2010;64:866–873. doi: 10.1136/jech.2009.087122.
    1. Niedhammer I. Psychometric properties of the French version of the Karasek Job Content Questionnaire: A study of the scales of decision latitude, psychological demands, social support, and physical demands in the GAZEL cohort. Int. Arch. Occup. Environ. Health. 2002;75:129–144. doi: 10.1007/s004200100270.
    1. Trus M., Razbadauskas A., Doran D., Suominen T. Work-related empowerment of nurse managers: A systematic review. Nurs. Health Sci. 2012;14:412–420. doi: 10.1111/j.1442-2018.2012.00694.x.
    1. Cicolini G., Comparcini D., Simonetti V. Workplace empowerment and nurses’ job satisfaction: A systematic literature review. J. Nurs. Manag. 2014;22:855–871. doi: 10.1111/jonm.12028.
    1. Penconek T., Tate K., Bernardes A., Lee S., Micaroni S.P.M., Balsanelli A.P., de Moura A.A., Cummings G.G. Determinants of nurse manager job satisfaction: A systematic review. Int. J. Nurs. Stud. 2021;118:103906. doi: 10.1016/j.ijnurstu.2021.103906.
    1. Padkapayeva K., Gilbert-Ouimet M., Bielecky A., Ibrahim S., Mustard C., Brisson C., Smith P. Gender/sex differences in the relationship between psychosocial work exposures and work and life stress. Ann. Work. Expo. Health. 2018;62:416–425. doi: 10.1093/annweh/wxy014.
    1. de Alves M.G.M., Hökerberg Y.H.M., Faerstein E. Trends and diversity in the empirical use of Karasek’s demand-control model (job strain): A systematic review. Revista Brasileira de Epidemiologia. 2013;16:125–136.

Source: PubMed

3
Subskrybuj