Abstract
Purpose
Despite its importance a comprehensive assessment of health functioning has rarely been included in epidemiological investigations of work-related health outcomes. In this study, we analyzed associations of a health-adverse psychosocial work environment with a comprehensive set of subjective and objective measures of health functioning that cover the three domains of affective, cognitive, and physical functioning.
Methods
Baseline data from the French CONSTANCES cohort study were used with a sample of 24,327 employed men and women aged 45–60. Psychosocial work environment was measured by the short version of the effort–reward imbalance (ERI) questionnaire. Measures of health functioning were depressive symptoms, semantic fluency, verbal memory, walking speed, standing balance and lung function.
Results
First, we replicated main psychometric properties of the ERI questionnaire in the French cohort. Second, ERI scales revealed consistent associations with depressive symptoms, but less consistent links to cognitive and physical function. Among men, we observed an association of stressful work with reduced lung function.
Conclusions
This study demonstrated consistent associations of stressful work in terms of effort–reward imbalance with affective functioning in a large sample of male and female employees. Relationships with physical functioning were less consistent and restricted to men, and cognitive functioning was only marginally associated with stressful work. We also established the psychometric properties of the French short version of the ERI questionnaire, thus offering a tool for guiding and harmonizing further research in this field.
Similar content being viewed by others
References
Acock AC (2013) Discovering structural equation modeling using Stata. Stata Press, College Station
Aldabe B, Anderson R, Lyly-Yrjänäinen M, Parent-Thirion A, Vermeylen G, Kelleher CC, Niedhammer I (2011) Contribution of material, occupational, and psychosocial factors in the explanation of social inequalities in health in 28 countries in Europe. J Epidemiol Community Health 65(12):1123–1131
Barros AJD, Hirakata VN (2003) Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio. BMC Med Res Methodol 3:21
Borkowski JG, Benton AL, Spreen O (1967) Word fluency and brain damage. Neuropsychologia 5(2):135–140
Chandola T, Brunner E, Marmot M (2006) Chronic stress at work and the metabolic syndrome: prospective study. BMJ (Clin Res Ed) 332(7540):521–525
Chatterji S, Byles J, Cutler D, Seeman T, Verdes E (2015) Health, functioning, and disability in older adults—present status and future implications. Lancet 385(9967):563–575
Descatha A, Herquelot E, Carton M, Sabbath EL, Goldberg M, Zins M, Leclerc A (2016) Is physically arduous work associated with limitations after retirement? Findings from the GAZEL cohort. Occup Environ Med 73(3):183–186
Dragano N, Siegrist J, Nyberg ST, Lunau T, Fransson EI, Alfredsson L, Bjorner JB, Borritz M, Burr H, Erbel R, Fahlén G, Goldberg M, Hamer M, Heikkilä K, Jöckel K-H, Knutsson A, Madsen IEH, Nielsen ML, Nordin M, Oksanen T, Pejtersen JH, Pentti J, Rugulies R, Salo P, Schupp J, Singh-Manoux A, Steptoe A, Theorell T, Vahtera J, Westerholm PJM, Westerlund H, Virtanen M, Zins M, Batty GD, Kivimäki M (2017) Effort-reward imbalance at work and incident coronary heart disease: a multicohort study of 90,164 individuals. Epidemiology (Camb, Mass) 28(4):619–626
Fransson EI, Nyberg ST, Heikkilä K, Alfredsson L, Bjorner JB, Borritz M, Burr H, Dragano N, Geuskens GA, Goldberg M, Hamer M, Hooftman WE, Houtman IL, Joensuu M, Jokela M, Knutsson A, Koskenvuo M, Koskinen A, Kumari M, Leineweber C, Lunau T, Madsen IEH, Hanson LLM, Nielsen ML, Nordin M, Oksanen T, Pentti J, Pejtersen JH, Rugulies R, Salo P, Shipley MJ, Steptoe A, Suominen SB, Theorell T, Toppinen-Tanner S, Vahtera J, Virtanen M, Väänänen A, Westerholm PJM, Westerlund H, Zins M, Britton A, Brunner EJ, Singh-Manoux A, Batty GD, Kivimäki M (2015) Job strain and the risk of stroke: an individual-participant data meta-analysis. Stroke 46(2):557–559
Godin I, Kittel F, Coppieters Y, Siegrist J (2005) A prospective study of cumulative job stress in relation to mental health. BMC Public Health 5:67
Goetzel RZ, Long SR, Ozminkowski RJ, Hawkins K, Wang S, Lynch W (2004) Health, absence, disability, and presenteeism cost estimates of certain physical and mental health conditions affecting U.S. employers. J Occup Environ Med 46(4):398–412
Goldberg M, Carton M, Descatha A, Leclerc A, Roquelaure Y, Santin G, Zins M (2017) CONSTANCES: a general prospective population-based cohort for occupational and environmental epidemiology: cohort profile. Occup Environ Med 74(1):66–71
Graham JE, Ostir GV, Kuo Y-F, Fisher SR, Ottenbacher KJ (2008) Relationship between test methodology and mean velocity in timed walk tests: a review. Arch Phys Med Rehabil 89(5):865–872
Grober E, Merling A, Heimlich T, Lipton RB (1997) Free and cued selective reminding and selective reminding in the elderly. J Clin Exp Neuropsychol 19(5):643–654
Grober E, Sanders AE, Hall C, Lipton RB (2010) Free and cued selective reminding identifies very mild dementia in primary care. Alzheimer Dis Assoc Disord 24(3):284–290
Harkonmäki K, Rahkonen O, Martikainen P, Silventoinen K, Lahelma E (2006) Associations of SF-36 mental health functioning and work and family related factors with intentions to retire early among employees. Occup Environ Med 63(8):558–563
Hu L-t, Bentler PM (1998) Fit indices in covariance structure modeling: sensitivity to underparameterized model misspecification. Psychol Methods 3(4):424–453
Institut de Veille Sanitaire (2005) Estimation des taux de prévalence des anticorps anti-VHC et des marqueurs du virus de l’hépatite B chez les assurés sociaux du régime général de France métropolitaine, 2003–2004. Institut de Veille Sanitaire, Saint Maurice
Juvani A, Oksanen T, Salo P, Virtanen M, Kivimäki M, Pentti J, Vahtera J (2014) Effort-reward imbalance as a risk factor for disability pension: the Finnish Public Sector Study. Scand J Work Environ Health 40(3):266–277
Karasek R, Theorell T (1990) Healthy work: stress, productivity, and the reconstruction of working life. Basic Books, New York
Kivimäki M, Steptoe A (2018) Effects of stress on the development and progression of cardiovascular disease. Nat Rev Cardiol 15(4):215–229
Kuh D, Karunananthan S, Bergman H, Cooper R (2014) A life-course approach to healthy ageing: maintaining physical capability. Proc Nutr Soc 73(2):237–248
Kumari M, Head J, Marmot M (2004) Prospective study of social and other risk factors for incidence of type 2 diabetes in the Whitehall II study. Arch Intern Med 164(17):1873–1880
Kuper H, Singh-Manoux A, Siegrist J, Marmot M (2002) When reciprocity fails: effort-reward imbalance in relation to coronary heart disease and health functioning within the Whitehall II study. Occup Environ Med 59(11):777–784
Kurioka S, Inoue A, Tsutsumi A (2014) Optimum cut-off point of the Japanese short version of the effort-reward imbalance questionnaire. J Occup Health 55(5):340–348
Ledoux JE (1989) Cognitive-emotional interactions in the brain. Cogn Emot 3(4):267–289
Leineweber C, Wege N, Westerlund H, Theorell T, Wahrendorf M, Siegrist J (2010) How valid is a short measure of effort-reward imbalance at work? A replication study from Sweden. Occup Environ Med 67(8):526–531
Li J, Loerbroks A, Shang L, Wege N, Wahrendorf M, Siegrist J (2012) Validation of a short measure of effort-reward imbalance in the workplace: evidence from China. J Occup Health 54(6):427–433
Li J, Weigl M, Glaser J, Petru R, Siegrist J, Angerer P (2013) Changes in psychosocial work environment and depressive symptoms: a prospective study in junior physicians. Am J Ind Med 56(12):1414–1422
Li J, Herr RM, Allen J, Stephens C, Alpass F (2017) Validating the short measure of the Effort-Reward Imbalance Questionnaire in older workers in the context of New Zealand. J Occup Health 59(6):495–505
Lin M-R, Hwang H-F, Hu M-H, Wu H-DI, Wang Y-W, Huang F-C (2004) Psychometric comparisons of the timed up and go, one-leg stand, functional reach, and Tinetti balance measures in community-dwelling older people. J Am Geriatr Soc 52(8):1343–1348
Loerbroks A, Karrasch S, Lunau T (2017) The longitudinal relationship of work stress with peak expiratory flow: a cohort study. Int Arch Occup Environ Health 90(7):695–701
Magnavita N (2013) Is there a gender gap in Italian radiology? A cross-sectional study. Eur J Radiol 82(9):e502–e507
Magnavita N, Garbarino S, Siegrist J (2012) The use of parsimonious questionnaires in occupational health surveillance: psychometric properties of the short Italian version of the effort/reward imbalance questionnaire. Sci World J 2012:372852
Magnusson Hanson LL, Westerlund H, Goldberg M, Zins M, Vahtera J, Hulvej Rod N, Stenholm S, Steptoe A, Kivimäki M (2017) Work stress, anthropometry, lung function, blood pressure, and blood-based biomarkers: a cross-sectional study of 43,593 French men and women. Sci Rep 7(1):9282
McMunn A (2018) Gender differences in the health effects of psychosocial factors. In: Kivimäki M, Batty G, Kawachi I, Steptoe A (eds) Handbook of psychosocial epidemiology. Routledge Taylor and Francis, London
Miller MR, Hankinson J, Brusasco V, Burgos F, Casaburi R, Coates A, Crapo R, Enright P, van der Grinten CPM, Gustafsson P, Jensen R, Johnson DC, MacIntyre N, McKay R, Navajas D, Pedersen OF, Pellegrino R, Viegi G, Wanger J (2005) Standardisation of spirometry. Eur Respir J 26(2):319–338
Morin AJS, Moullec G, Maïano C, Layet L, Just J-L, Ninot G (2011) Psychometric properties of the Center for Epidemiologic Studies Depression Scale (CES-D) in French clinical and nonclinical adults. Revue d’epidemiologie et de sante publique 59(5):327–340
Mura T, Amieva H, Goldberg M, Dartigues J-F, Ankri J, Zins M, Berr C (2016) Effect size for the main cognitive function determinants in a large cross-sectional study. Eur J Neurol 23(11):1614–1626
Nagata T, Mori K, Ohtani M, Nagata M, Kajiki S, Fujino Y, Matsuda S, Loeppke R (2018) Total health-related costs due to absenteeism, presenteeism, and medical and pharmaceutical expenses in Japanese employers. J Occup Environ Med 60(5):e273–e280
Niedhammer I, Siegrist J, Landre MF, Goldberg M, Leclerc A (2000) Etude des qualités psychométriques de la version française du modèle du Déséquilibre Efforts/Récompenses (Psychometric properties of the French version of the Effort-Reward Imbalance model). Revue d’epidemiologie et de sante publique 48(5):419–437
Niedhammer I, Tek M-L, Starke D, Siegrist J (2004) Effort-reward imbalance model and self-reported health: cross-sectional and prospective findings from the GAZEL cohort. Soc Sci Med 58(8):1531–1541
Nunnally JC, Bernstein IH (1994) Psychometric theory. McGraw Hill, New York
Rabe-Hesketh S, Skrondal A (2008) Multilevel and longitudinal modeling using Stata, 2nd edn. Stata Press, College Station, Tex
Radloff LS (1977) The CES-D Scale: a self-report depression scale for research in the general population. Appl Psychol Meas 1:385–401
Reinhardt JD, Wahrendorf M, Siegrist J (2013) Socioeconomic position, psychosocial work environment and disability in an ageing workforce: a longitudinal analysis of SHARE data from 11 European countries. Occup Environ Med 70(3):156–163
Rice NE, Lang IA, Henley W, Melzer D (2011) Common health predictors of early retirement: findings from the English Longitudinal Study of ageing. Age Ageing 40(1):54–61
Riedel N, Siegrist J, Wege N, Loerbroks A, Angerer P, Li J (2017) Do effort and reward at work predict changes in cognitive function? First longitudinal results from the representative German socio-economic panel. Int J Environ Res Public Health 14(11):1390
Rothman KJ, Gallacher JEJ, Hatch EE (2013) Why representativeness should be avoided. Int J Epidemiol 42(4):1012–1014
Rugulies R, Aust B, Madsen IE (2017) Effort-reward imbalance at work and risk of depressive disorders. A systematic review and meta-analysis of prospective cohort studies. Scand J Work Environ Health 43(4):294–306
Ruiz F, Goldberg M, Lemonnier S, Ozguler A, Boos E, Brigand A, Giraud V, Perez T, Roche N, Zins M (2016) High quality standards for a large-scale prospective population-based observational cohort: constances. BMC Public Health 16(1):877
Sabbath EL, Andel R, Zins M, Goldberg M, Berr C (2016) Domains of cognitive function in early old age: which ones are predicted by pre-retirement psychosocial work characteristics? Occup Environ Med 73(10):640–647
Shkuratova N, Morris ME, Huxham F (2004) Effects of age on balance control during walking. Arch Phys Med Rehabil 85(4):582–588
Siegrist J, Li J (2016) Associations of extrinsic and intrinsic components of work stress with health: a systematic review of evidence on the effort-reward imbalance model. Int J Environ Res Public Health 13(4):432
Siegrist J, Wahrendorf M (eds) (2016) Work stress and health in a globalized economy: the model of effort-reward imbalance. Springer International Publications, Cham
Siegrist J, Starke D, Chandola T, Godin I, Marmot M, Niedhammer I, Peter R (2004) The measurement of effort-reward imbalance at work: European comparisons. Soc Sci Med 58(8):1483–1499
Stansfeld SA, Bosma H, Hemingway H, Marmot MG (1998) Psychosocial work characteristics and social support as predictors of SF-36 health functioning: the Whitehall II study. Psychosom Med 60(3):247–255
Stansfeld SA, Fuhrer R, Shipley MJ, Marmot MG (1999) Work characteristics predict psychiatric disorder: prospective results from the Whitehall II Study. Occup Environ Med 56(5):302–307
Theorell T, Hammarström A, Aronsson G, Träskman Bendz L, Grape T, Hogstedt C, Marteinsdottir I, Skoog I, Hall C (2015) A systematic review including meta-analysis of work environment and depressive symptoms. BMC Public Health 15:738
Theorell T, Jood K, Järvholm LS, Vingård E, Perk J, Östergren PO, Hall C (2016) A systematic review of studies in the contributions of the work environment to ischaemic heart disease development. Eur J Public Health 26(3):470–477
Tsutsumi A, Kayaba K, Kario K, Ishikawa S (2009) Prospective study on occupational stress and risk of stroke. Arch Intern Med 169(1):56–61
Vilagut G, Forero CG, Pinto-Meza A, Haro JM, Graaf R de, Bruffaerts R, Kovess V, Girolamo G de, Matschinger H, Ferrer M, Alonso J (2013) The mental component of the short-form 12 health survey (SF-12) as a measure of depressive disorders in the general population: results with three alternative scoring methods. Value Health J Int Soc Pharmacoecon Outcomes Res 16(4):564–573
Vineis P, Avendano-Pabon M, Barros H, Chadeau-Hyam M, Costa G, Dijmarescu M, Delpierre C, D’Errico A, Fraga S, Giles G, Goldberg M, Zins M, Kelly-Irving M, Kivimaki M, Lang T, Layte R, Mackenbach J, Marmot M, McCrory C, Carmeli C, Milne R, Muennig P, Nusselder W, Polidoro S, Ricceri F, Robinson O, Stringhini S (2017) The biology of inequalities in health: the LIFEPATH project. Longitud Life Course Stud 8(4):417–439
Wahrendorf M, Sembajwe G, Zins M, Berkman L, Goldberg M, Siegrist J (2012) Long-term effects of psychosocial work stress in midlife on health functioning after labor market exit—results from the GAZEL study. J Gerontol Ser B Psychol Sci Soc Sci 67(4):471–480
Ware JE (2002) The SF-12v2TM how to score version 2 of the SF-12® health survey: (with a supplement documenting version 1). Quality Metric [u.a.], Lincoln
Ware JE, Kosinski M, Keller S (1994) SF-36 physical and mental health summary scales: a user’s manual, 5th edn. Health Assessment Lab, Boston
Wege N, Li J, Siegrist J (2018) Are there gender differences in associations of effort-reward imbalance at work with self-reported doctor-diagnosed depression? Prospective evidence from the German Socio-Economic Panel. Int Arch Occup Environ Health 91(4):435–443
WHO (2001) International classification of functioning, disability and health (ICF). World Health Organization, Geneva
Zins M, Goldberg M (2015) The French CONSTANCES population-based cohort: design, inclusion and follow-up. Eur J Epidemiol 30(12):1317–1328
Acknowledgements
We gratefully acknowledge the support of Sebastien Bonenfant, Jian Li, Peter Obert and Céline Ribet.
Funding
This research is supported by funding from the German research foundation (Deutsche Forschungsgemeinschaft; DFG, project number SI 236/15-1 and WA 3065/4-1). The CONSTANCES Cohort project is funded by the “Caisse nationale d’assurance maladie des travailleurs salaries” (CNAMTS) and benefits from a grant from ANR (ANR-11-INBS-0002). CONSTANCES is also partly funded by MSD, AstraZeneca and Lundbeck.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare no conflict of interest.
Ethical approval
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Ethical considerations
CONSTANCES has obtained authorization from the French National Data Protection Authority (“Commission nationale de l’informatique et des libertés”) and was approved by the National Council for Statistical Information, the National Medical Council, and the Institutional Review Board of the National Institute for Medical Research17 INSERM.
Informed consent
Informed consent was obtained from all individual participants included in the study. The analyses were carried out in accordance with the relevant guidelines and regulations.
Data availability
The data that support the findings of this study are not publicly available due to legal restrictions, but applications for data access can be submitted in the context of calls for proposals. For more information about how to make use of the CONSTANCES cohort, see http://www.constances.fr/index_EN.php.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Siegrist, J., Wahrendorf, M., Goldberg, M. et al. Is effort–reward imbalance at work associated with different domains of health functioning? Baseline results from the French CONSTANCES study. Int Arch Occup Environ Health 92, 467–480 (2019). https://doi.org/10.1007/s00420-018-1374-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00420-018-1374-8