Evidence map›Paper›PMID 42129002›Full record

ArticleJournal of occupational rehabilitation2026

Determinants of Sustainable Return to Work After Burnout or Depression: A Longitudinal Cohort Study.

Anke Deprez, Isabelle Boets, Sofie Vandenbroeck, Lode Godderis

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Article in Journal of occupational rehabilitation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Anke DeprezDepartment of Public Health and Primary Care, KU Leuven, Centre for Environment and Health, Leuven, Belgium. anke.deprez@kuleuven.be.ORCID http://orcid.org/0000-0003-4244-0349
Isabelle BoetsExternal Service for Prevention and Protection at Work, IDEWE, Heverlee, Leuven, Belgium.ORCID http://orcid.org/0000-0002-5071-4736
Sofie VandenbroeckExternal Service for Prevention and Protection at Work, IDEWE, Heverlee, Leuven, Belgium.ORCID http://orcid.org/0000-0001-8957-5094
Lode GodderisDepartment of Public Health and Primary Care, KU Leuven, Centre for Environment and Health, Leuven, Belgium.ORCID http://orcid.org/0000-0003-4764-8835

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePeople with common mental disorders (CMDs) such as depression and burnout have a high recurrence rate of sickness absence (SA). Few studies have investigated the determinants of sustainable return to work (SRTW) after a CMD. The objective of this study was to identify determinants of SRTW, operationalized as recurrent SA and work ability after the return.

methodsParticipants were 148 employees that returned to work from April 2022 to January 2024 after CMD-related SA. In this prospective longitudinal cohort study, participants were followed up for one year after their return to work (RTW) by means of five questionnaires. Survival analysis and linear regression were carried out for recurrent SA and work ability outcomes, respectively.

resultsBy twelve months after initial RTW, 27.9% of patients experience recurrent SA, as estimated by the Kaplan-Meier method. Cox proportional hazards regression reveals that patients having a higher symptom severity of anxiety and depression at time of RTW have a significantly higher risk of recurrent SA (HR = 1.176, 95% CI [1.027-1.346], p = 0.019). At time of RTW, better work ability is linked to being married, higher self-efficacy, and greater controllability, while fixed shifts and higher depressive symptoms predict poorer work ability. Three months after RTW, resilience emerges as a positive predictor, whereas at six and nine months, depressive symptoms and controllability remain significant predictors, respectively.

conclusionSymptoms of depression and anxiety at the start of RTW influence recurrent SA and work ability thereafter for people suffering from a CMD.

Indexed as

BurnoutCommon mental disorderDepressionRecurrent sickness absenceSustainable return to workWork ability

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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.