Literature DB >> 22915143

To what extent do single symptoms from a depression rating scale predict risk of long-term sickness absence among employees who are free of clinical depression?

Reiner Rugulies1, Pernille U Hjarsbech, Birgit Aust, Karl Bang Christensen, Rikke Voss Andersen, Vilhelm Borg.   

Abstract

PURPOSE: Depression rating scales have predicted long-term sickness absence (LTSA) in previous studies. With this study, we investigated to what extent single symptoms from a depression rating scale predicted LTSA among employees who were free of clinical depression.
METHODS: We studied 6,670 female employees in the Danish eldercare sector. Frequency of 12 depressive symptoms over the last 2 weeks was assessed with the Major Depression Inventory. A symptom was considered as elevated if it was present at least "slightly more than half of the time." Data were linked to a national register on LTSA (≥3 weeks). We calculated hazard ratios (HR) from Cox's proportional hazard models to analyze whether a symptom predicted time to onset of LTSA during a 1-year follow-up. Analyses were adjusted for age, family status, health behaviors, occupational group, and previous LTSA.
RESULTS: Of the 12 symptoms, three predicted LTSA after adjustment for covariates: "felt low in spirits and sad" (HR = 1.41, 95 % CI = 1.05-1.89), "felt lacking in energy and strength" (HR = 1.33, 95 % CI = 1.08-1.64), and "had trouble sleeping at night" (HR = 1.38, 95 % CI = 1.09-1.74).
CONCLUSION: Among female eldercare workers free of clinical depression, feelings of low spirits and sadness, feelings of lack of energy and strength, and sleep disturbances predict risk of LTSA. Interventions that decrease the prevalence of these symptoms might contribute to a reduction in LTSA in this population.

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Year:  2012        PMID: 22915143     DOI: 10.1007/s00420-012-0797-x

Source DB:  PubMed          Journal:  Int Arch Occup Environ Health        ISSN: 0340-0131            Impact factor:   3.015


  25 in total

1.  The association of insomnia with anxiety disorders and depression: exploration of the direction of risk.

Authors:  Eric O Johnson; Thomas Roth; Naomi Breslau
Journal:  J Psychiatr Res       Date:  2006-09-15       Impact factor: 4.791

2.  Long term sickness absence.

Authors:  Max Henderson; Nicholas Glozier; Kevin Holland Elliott
Journal:  BMJ       Date:  2005-04-09

3.  The internal and external validity of the Major Depression Inventory in measuring severity of depressive states.

Authors:  L R Olsen; D V Jensen; V Noerholm; K Martiny; P Bech
Journal:  Psychol Med       Date:  2003-02       Impact factor: 7.723

Review 4.  Depression in the workplace: a systematic review of evidence-based prevention strategies.

Authors:  Sandra Dietrich; Stefanie Deckert; Martin Ceynowa; Ulrich Hegerl; Katarina Stengler
Journal:  Int Arch Occup Environ Health       Date:  2011-04-02       Impact factor: 3.015

5.  Psychosocial work characteristics as risk factors for the onset of fatigue and psychological distress: prospective results from the Maastricht Cohort Study.

Authors:  U Bültmann; I J Kant; P A Van den Brandt; S V Kasl
Journal:  Psychol Med       Date:  2002-02       Impact factor: 7.723

6.  Association of sickness absence with poor sleep and depressive symptoms in shift workers.

Authors:  Akinori Nakata; Takashi Haratani; Masaya Takahashi; Norito Kawakami; Heihachiro Arito; Fumio Kobayashi; Yosei Fujioka; Satoe Fukui; Shunichi Araki
Journal:  Chronobiol Int       Date:  2004       Impact factor: 2.877

7.  The Major Depression Inventory versus Schedules for Clinical Assessment in Neuropsychiatry in a population sample.

Authors:  Yvonne Forsell
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2005-03       Impact factor: 4.328

8.  Effort-reward imbalance at work and risk of sleep disturbances. Cross-sectional and prospective results from the Danish Work Environment Cohort Study.

Authors:  Reiner Rugulies; Malene Norborg; Tilde Sand Sørensen; Lisbeth E Knudsen; Hermann Burr
Journal:  J Psychosom Res       Date:  2008-11-22       Impact factor: 3.006

9.  Register-based follow-up of social benefits and other transfer payments: accuracy and degree of completeness in a Danish interdepartmental administrative database compared with a population-based survey.

Authors:  Niels Henrik Hjollund; Finn Breinholt Larsen; Johan Hviid Andersen
Journal:  Scand J Public Health       Date:  2007       Impact factor: 3.021

10.  Increase in sickness absence with psychiatric diagnosis in Norway: a general population-based epidemiologic study of age, gender and regional distribution.

Authors:  Gunnel Hensing; Lena Andersson; Sören Brage
Journal:  BMC Med       Date:  2006-08-22       Impact factor: 8.775

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