title: A meta-analysis of observational studies identifies predictors of sickness absence.
abstract: OBJECTIVE
  About one in every three employees seen by their occupational physician is absent from work because of psychosocial health complaints. To implement preventive measures, it is necessary to identify predictors for this type of sickness absence.
  
  
  METHODS
  A meta-analysis was carried out to quantify the association between predictive factors and psychosocial sickness absence and to assess clinical outcomes and heterogeneity. Eligible for inclusion were prospective studies that examined this association and provided sufficient information to estimate summary odds ratios (SORs).
  
  
  RESULTS
  Twenty prospective studies were included. Significant SORs for sick leave >3 days were found for being unmarried, 1.37 (95% confidence interval [CI]=1.15-1.64), experiencing psychosomatic complaints, 1.79 (95% CI=1.54-2.07), using medication, 3.13 (95% CI=1.71-5.72), having a burnout, 2.34 (95% CI=1.59-3.45), suffering from psychological problems, 1.97 (95% CI=1.37-2.85), having low job control, 1.28 (95% CI=1.23-1.33), having low decision latitude, 1.33 (95% CI=1.16-1.56), and experiencing no fairness at work, 1.30 (95% CI=1.18-1.45).
  
  
  CONCLUSIONS
  This study shows that predictors of sickness absence can be identified in a homogeneous manner. The results provide leads to public health interventions to successfully improve psychosocial health and to reduce sickness absence.
authors.affiliation: Department of Epidemiology, Maastricht University, 6200 MD, Maastricht, The Netherlands. sfa.duijts@epid.unimaas.nl
authors.forename: Saskia F A
authors.initials: SF
authors.lastname: Duijts
authors.forename: Ijmert
authors.initials: I
authors.lastname: Kant
authors.forename: Gerard M H
authors.initials: GM
authors.lastname: Swaen
authors.forename: Piet A
authors.initials: PA
authors.lastname: van den Brandt
authors.forename: Maurice P A
authors.initials: MP
authors.lastname: Zeegers
mesh_terms: D000041:Absenteeism; D002055:Burnout, Professional / Q000523:psychology; D004358:Drug Therapy / Q000523:psychology; D006801:Humans; D007588:Job Satisfaction; D017533:Marital Status; D009784:Occupational Diseases / Q000523:psychology; D016017:Odds Ratio; D011379:Prognosis; D011446:Prospective Studies; D011593:Psychology, Social; D011602:Psychophysiologic Disorders / Q000523:psychology; D012107:Research Design; D018582:Sick Leave