Evidence map›Paper›PMID 19542039›Full record

ArticleAmerican journal of public health2009

Using sickness absence records to predict future depression in a working population: prospective findings from the GAZEL cohort.

Maria Melchior, Jane E Ferrie, Kristina Alexanderson, Marcel Goldberg, Mika Kivimaki, Archana Singh-Manoux, Jussi Vahtera, Hugo Westerlund, Marie Zins, Jenny Head

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Article in American journal of public health, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors.

Maria MelchiorNational Institutes of Health and Medical Research (INSERM U687), 94807 Villejuif Cédex, France. maria.melchior@inserm.fr
Jane E Ferrie
Kristina Alexanderson
Marcel Goldberg
Mika Kivimaki
Archana Singh-Manoux
Jussi Vahtera
Hugo Westerlund
Marie Zins
Jenny Head

Funding

British Heart Foundation RG/07/008/23674Medical Research Council G0100222Medical Research Council G19/35Medical Research Council G8802774
6 · The paper itself

Abstract

objectivesWe tested the hypothesis that sickness absence from work predicts workers' risk of later depression.

methodsStudy participants (n = 7391) belonged to the French GAZEL cohort of employees of the national gas and electricity company. Sickness absence data (1996-1999) were obtained from company records. Participants' depression in 1996 and 1999 was assessed with the Center for Epidemiologic Studies-Depression (CES-D) scale. The analyses were controlled for baseline age, gender, marital status, occupational grade, tobacco smoking status, alcohol consumption, subthreshold depressive symptoms, and work stress.

resultsAmong workers who were free of depression in 1996, 13% had depression in 1999. Compared with workers with no sickness absence during the study period, those with sickness absence were more likely to be depressed at follow-up (for 1 period of sickness absence, fully adjusted odds ratio [OR] = 1.53, 95% confidence interval [CI] = 1.28, 1.82; for 2 or more periods, fully adjusted OR = 1.95, 95% CI = 1.61, 2.36). Future depression was predicted both by psychiatric and nonpsychiatric sickness absence (fully adjusted OR = 3.79 [95% CI = 2.81, 5.10] and 1.41 [95% CI = 1.21, 1.65], respectively).

conclusionsSickness absence records may help identify workers vulnerable to future depression.

Indexed as

ForecastingMedical RecordsAdultCatchment Area, HealthCohort StudiesDepressionEmploymentFemaleFollow-Up StudiesFranceHealth StatusHumansMaleMiddle AgedProspective StudiesSick Leave

Identifiers

PMID19542039
PMCPMC2707463

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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.