Evidence map›Paper›PMID 22915143›Full record

ArticleInternational archives of occupational and environmental health2013

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 Rugulies, Pernille U Hjarsbech, Birgit Aust, Karl Bang Christensen, Rikke Voss Andersen, Vilhelm Borg

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In one paragraph

Article in International archives of occupational and environmental health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Reiner RuguliesNational Research Centre for the Working Environment, 2100, Copenhagen, Denmark, rer@nrcwe.dk.
Pernille U Hjarsbech
Birgit Aust
Karl Bang Christensen
Rikke Voss Andersen
Vilhelm Borg
National Research Centre for the Working Environment · DKUniversity of Copenhagen · DKCowi (Denmark) · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDepression 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.

methodsWe 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.

resultsOf 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).

conclusionAmong 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.

Indexed as

Occupational HealthPsychiatric Status Rating ScalesSick LeaveAdolescentAdultAgedCaregiversDepressionFatigueFemaleHumansMiddle AgedProspective StudiesRisk AssessmentSleep Wake DisordersTime Factors

Identifiers

PMID22915143
OpenAlexW2071028982

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.