Literature DB >> 16905625

Identifying workers at risk of sickness absence by questionnaire.

Corné A M Roelen1, Tjepke R van der Pol, Petra C Koopmans, Johan W Groothoff.   

Abstract

BACKGROUND: Sickness absence is an important economic problem, because of high costs and lost productivity. Determining factors associated with increased risk of sickness absence may lead to the development of preventive measures. AIMS: To determine whether self-report questionnaires can identify those employees at risk of sickness absence
METHODS: Prospective study of 238 healthy administrative workers. Participants completed a questionnaire proven to be valid and consistent. The questionnaire consisted of 116 items about health, work and working conditions. Sickness absence was followed-up for a period of 1 year.
RESULTS: The questionnaires of 191 workers (80%) were suitable for analysis. The number of reported health complaints was significantly (P < 0.01) associated with sickness absence (OR 2.18; 95% CI 1.32-3.61). Concentration problems were correlated with more frequent absences, and both nervous complaints and coping problems with longer duration. Age (OR 0.96; 95% CI 0.93-0.99; P = 0.02) and job insecurity (OR 0.68; 95% CI 0.47-0.98; P = 0.04) were negatively associated with sickness absence. Psychosocial and physical work factors were not associated with sickness absence.
CONCLUSIONS: Questionnaires on health and work can identify employees at future risk of sickness absence. Workers who report multiple health complaints, especially concentration problems, nervous complaints or coping problems, may be at increased risk of sickness absence.

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Mesh:

Year:  2006        PMID: 16905625     DOI: 10.1093/occmed/kql087

Source DB:  PubMed          Journal:  Occup Med (Lond)        ISSN: 0962-7480            Impact factor:   1.611


  7 in total

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2.  Long-term sickness absence due to mental disorders is associated with individual features and psychosocial work conditions.

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3.  Severe MUPS in a sick-listed population: a cross-sectional study on prevalence, recognition, psychiatric co-morbidity and impairment.

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4.  Predictors of workplace absenteeism in cancer care workers.

Authors:  A J Carosi; N E Lightfoot
Journal:  Curr Oncol       Date:  2009-12       Impact factor: 3.677

5.  External validation of two prediction models identifying employees at risk of high sickness absence: cohort study with 1-year follow-up.

Authors:  Corné A M Roelen; Ute Bültmann; Willem van Rhenen; Jac J L van der Klink; Jos W R Twisk; Martijn W Heymans
Journal:  BMC Public Health       Date:  2013-02-05       Impact factor: 3.295

6.  The effectiveness of two occupational health intervention programmes in reducing sickness absence among employees at risk. Two randomised controlled trials.

Authors:  S Taimela; A Malmivaara; S Justén; E Läärä; H Sintonen; J Tiekso; T Aro
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7.  Medically unexplained physical symptoms and work functioning over 2 years: their association and the influence of depressive and anxiety disorders and job characteristics.

Authors:  Madelon den Boeft; Jos W R Twisk; Trynke Hoekstra; Berend Terluin; Brenda W J H Penninx; Johannes C van der Wouden; Mattijs E Numans; Henriette E van der Horst
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  7 in total

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