Occupational stress and incidence of sick leave in the Belgian workforce: the Belstress study

Context: Sick leave is a major problem in public health. The Karasek demands/control/social support/strain (JDCS) model has been largely used to predict a wide range of health outcomes and to a lesser extent sickness absence. Study objective: The aim of the study was to test the predictive power of the JDCS model in relation with one year incidence of sick leave in a large cohort of workers. Design and setting: Cohort study conducted between 1994 and 1998 in 25 companies across Belgium. Participants: A total of 20 463 workers aged 35 to 59 years were followed up for sick leave during one year after the baseline survey. Outcomes: The outcomes were a high sick leave incidence, short spells (⩾7 days), long spells (⩾28 days), and repetitive spells of sickness absence (⩾3 spells/year). Main results: Independently from baseline confounding variables, a significant association between high strained jobs with low social support and repetitive spells of sickness absence was observed in both sexes with odds ratios of 1.32 (99% CI, 1.04 to 1.68) in men and 1.61 (99% CI, 1.13 to 2.33) in women. In men, high strained jobs with low social support was also significantly associated with high sick leave incidence, and short spells of sick leave with odds ratios of 1.38 (99% CI, 1.16 to 1.64) and 1.22 (99% CI, 1.05 to 1.44) respectively. Conclusions: Perceived high strain at work especially combined with low social support is predictive of sick leave in both sexes of a large cohort of the Belgian workforce.

[1]  D. Baker The study of stress at work. , 1985, Annual review of public health.

[2]  L. Radloff The CES-D Scale , 1977 .

[3]  Peter Vlerick,et al.  Scale reliability and validity of the Karasek 'Job Demand-Control-Support' model in the Belstress study , 2001 .

[4]  David W. Hosmer,et al.  Applied Logistic Regression , 1991 .

[5]  P M Bongers,et al.  Psychosocial stressors at work and musculoskeletal problems. , 1994, Scandinavian journal of work, environment & health.

[6]  Robert Karasek,et al.  Healthy Work : Stress, Productivity, and the Reconstruction of Working Life , 1990 .

[7]  The "Minnesota Code" for ECG classification. Adaptation to CR leads and modification of the code for ECGs recorded during and after exercise by the Scandinavian Committee on ECG Classification. , 1967, Acta medica Scandinavica. Supplementum.

[8]  G. Comstock,et al.  Psychosocial factors and blood pressure , 1980, Psychological Medicine.

[9]  J L Kelsey,et al.  The measurement of social class in epidemiology. , 1988, Epidemiologic reviews.

[10]  B C Amick,et al.  Relationship of job strain and iso-strain to health status in a cohort of women in the United States. , 1998, Scandinavian journal of work, environment & health.

[11]  H. Blackburn,et al.  Cardiovascular survey methods. , 1969, Monograph series. World Health Organization.

[12]  A. Undén Social support at work and its relationship to absenteeism , 1996 .

[13]  C. Hertzman,et al.  Searching for the biological pathways between stress and health. , 1997, Annual review of public health.

[14]  J. Vahtera,et al.  The effect of objective job demands on registered sickness absence spells; do personal, social and job-related resources act as moderators? , 1996 .

[15]  H. Checkoway,et al.  Epidemiologic programs for computers and calculators. Use of Poisson regression models in estimating incidence rates and ratios. , 1985, American journal of epidemiology.

[16]  S. Syme,et al.  Explaining socioeconomic differences in sickness absence: the Whitehall II Study. , 1993, BMJ.

[17]  P. Bongers,et al.  Linear and nonlinear relations between psychosocial job characteristics, subjective outcomes, and sickness absence: baseline results from SMASH. Study on Musculoskeletal Disorders, Absenteeism, Stress, and Health. , 2000, Journal of occupational health psychology.

[18]  J. Johnson,et al.  Combined effects of job strain and social isolation on cardiovascular disease morbidity and mortality in a random sample of the Swedish male working population. , 1989, Scandinavian journal of work, environment & health.

[19]  E. Trist,et al.  A Consideration of Industrial Accidents as a Means of Withdrawal from the work situation , 1953 .

[20]  S A Stansfeld,et al.  Social support and psychiatric sickness absence: a prospective study of British civil servants , 1997, Psychological Medicine.

[21]  E. Trist,et al.  Changes in Accidents and other Absences with Length of Service , 1955 .

[22]  M Marmot,et al.  Sickness absence as a measure of health status and functioning: from the UK Whitehall II study. , 1995, Journal of epidemiology and community health.

[23]  P. Vlerick,et al.  Psychosocial work environment and psychological well‐being: assessment of the buffering effects in the job demand–control (–support) model in BELSTRESS , 2002 .

[24]  T. Kristensen Sickness absence and work strain among Danish slaughterhouse workers: an analysis of absence from work regarded as coping behaviour. , 1991, Social science & medicine.

[25]  J. Johnson,et al.  Long-term psychosocial work environment and cardiovascular mortality among Swedish men. , 1996, American journal of public health.

[26]  E. Frome The analysis of rates using Poisson regression models. , 1983, Biometrics.

[27]  L. Berkman,et al.  Two Shorter Forms of the CES-D Depression Symptoms Index , 1993 .

[28]  D. Ford,et al.  The Psychosocial Work Environment of Physicians: The Impact of Demands and Resources on Job Dissatisfaction and Psychiatric Distress in a Longitudinal Study of Johns Hopkins Medical School Graduates , 1995, Journal of Occupational and Environmental Medicine.

[29]  B Sachs,et al.  Psychometrics for two short forms of the Center for Epidemiologic Studies-Depression Scale. , 1998, Issues in mental health nursing.

[30]  M. Lumley,et al.  Adolescents with inflammatory bowel disease: the roles of negative affectivity and hostility in subjective versus objective health. , 1997, Journal of pediatric psychology.

[31]  J. Schwartz,et al.  A Longitudinal Study of Job Strain and Ambulatory Blood Pressure: Results From a Three-Year Follow-up , 1998, Psychosomatic medicine.

[32]  G. Karnas,et al.  Etude belge du stress au travail : Aperçu du modèle de recherche et des outils d'investigation , 1996 .

[33]  M. Marmot,et al.  Psychosocial Work Characteristics and Social Support as Predictors of SF-36 Health Functioning: The Whitehall II Study , 1998, Psychosomatic medicine.

[34]  A. Dobson,et al.  Confidence intervals for weighted sums of Poisson parameters. , 1991, Statistics in medicine.

[35]  U. de Faire,et al.  Job strain and ambulatory blood pressure profiles. , 1991, Scandinavian journal of work, environment & health.

[36]  J. Mcewen,et al.  Absence from work and perceived health among mine rescue workers. , 1981, The Journal of the Society of Occupational Medicine.

[37]  L. Berkman,et al.  Social networks, host resistance, and mortality: a nine-year follow-up study of Alameda County residents. , 1979, American journal of epidemiology.

[38]  M Marmot,et al.  Psychosocial work environment and sickness absence among British civil servants: the Whitehall II study. , 1996, American journal of public health.

[39]  T. Kristensen The demand-control-support model: Methodological challenges for future research. , 1995 .

[40]  T S Kristensen,et al.  Job stress and cardiovascular disease: a theoretic critical review. , 1996, Journal of occupational health psychology.

[41]  I.L.D. Houtman,et al.  Linear and nonlinear relations between psychosocial job characteristics, subjective outcomes, and sickness absence : baseline results from SMASH , 2000 .

[42]  T. Theorell,et al.  How to deal with stress in organizations?--a health perspective on theory and practice. , 1999, Scandinavian journal of work, environment & health.

[43]  J. Schwartz,et al.  The relationship between 'job strain,' workplace diastolic blood pressure, and left ventricular mass index: a correction. , 1992, JAMA.

[44]  Robert Karasek,et al.  Work and non‐work correlates of illness and behaviour in male and female Swedish white collar workers , 1987 .

[45]  S A Stansfeld,et al.  Low job control and risk of coronary heart disease in whitehall ii (prospective cohort) study , 1997, BMJ.

[46]  A Tsutsumi,et al.  Decision latitude, job strain, and myocardial infarction: a study of working men in Stockholm. The SHEEP Study Group. Stockholm Heart epidemiology Program. , 1998, American journal of public health.

[47]  A Ahlbom,et al.  Job decision latitude, job demands, and cardiovascular disease: a prospective study of Swedish men. , 1981, American journal of public health.

[48]  J. Schwartz,et al.  The relationship between 'job strain,' workplace diastolic blood pressure, and left ventricular mass index. Results of a case-control study. , 1990, JAMA.