A meta-analysis of observational studies identifies predictors of sickness absence☆

被引:207
作者
Duijts, Saskia F. A.
Kant, Jrnert
Swaen, Gerard M. H.
van den Brandt, Piet A.
Zeegers, Maurice P. A.
机构
[1] Univ Limburg, Dept Epidemiol, NL-6200 MD Maastricht, Netherlands
[2] Dow Chem Terneuzen, Terneuzen, Netherlands
[3] Univ Birmingham, Dept Publ Hlth & Epidemiol, Birmingham, W Midlands, England
关键词
meta-analysis; predictor; sickness absence; observational;
D O I
10.1016/j.jclinepi.2007.04.008
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
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. Study Design and Setting: 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). Conclusion: 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. (C) 2007 Elsevier Inc. All rights reserved.
引用
收藏
页码:1105 / 1115
页数:11
相关论文
共 40 条
  • [1] Employee control over working times:: associations with subjective health and sickness absences
    Ala-Mursala, L
    Vahtera, J
    Kivimäki, M
    Kevin, MC
    Pentti, J
    [J]. JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH, 2002, 56 (04) : 272 - 278
  • [2] Sickness absence: a review of performed studies with focused on levels of exposures and theories utilized
    Alexanderson, K
    [J]. SCANDINAVIAN JOURNAL OF SOCIAL MEDICINE, 1998, 26 (04): : 241 - 249
  • [4] Health problems and psychosocial work environment as predictors of long term sickness absence in employees who visited the occupational physician and/or general practitioner in relation to work: a prospective study
    Andrea, H
    Beurskens, AJHM
    Metsemakers, JFM
    van Amelsvoort, LGPM
    van den Brandt, PA
    van Schayck, CP
    [J]. OCCUPATIONAL AND ENVIRONMENTAL MEDICINE, 2003, 60 (04) : 295 - 300
  • [5] Flexible and compressed workweek schedules: A meta-analysis of their effects on work-related criteria
    Baltes, BB
    Briggs, TE
    Huff, JW
    Wright, JA
    Neuman, GA
    [J]. JOURNAL OF APPLIED PSYCHOLOGY, 1999, 84 (04) : 496 - 513
  • [6] Burnout as a predictor of self-reported sickness absence among human service workers: prospective findings from three year follow up of the PUMA study
    Borritz, M
    Rugulies, R
    Christensen, KB
    Villadsen, E
    Kristensen, TS
    [J]. OCCUPATIONAL AND ENVIRONMENTAL MEDICINE, 2006, 63 (02) : 98 - 106
  • [7] Bourbonnais R, 2001, AM J IND MED, V39, P194, DOI 10.1002/1097-0274(200102)39:2<194::AID-AJIM1006>3.0.CO
  • [8] 2-K
  • [9] A comparison of statistical methods for meta-analysis
    Brockwell, SE
    Gordon, IR
    [J]. STATISTICS IN MEDICINE, 2001, 20 (06) : 825 - 840
  • [10] Need for recovery after work predicts sickness absence - A 2-year prospective cohort study in truck drivers
    de Croon, EM
    Sluiter, JK
    Frings-Dresen, MHW
    [J]. JOURNAL OF PSYCHOSOMATIC RESEARCH, 2003, 55 (04) : 331 - 339