Evidence map›Paper›PMID 39066861›Full record

ArticleJournal of occupational rehabilitation2025

Incidence Rates and Predictors of Recurrent Long-Term Mental Sickness Absence Due to Common Mental Disorders.

Matthew Mulder, Robin Kok, Bart Aben, Astrid de Wind

Abstract read
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Article in Journal of occupational rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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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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

5 citing papers in PubMed.

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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

4 authors.

Matthew MulderDepartment of Research and Development, HumanTotalCare B.V., Zwarte Woud 10, Utrecht, 3524 SJ, The Netherlands. matthewimulder@gmail.com.
Robin KokDepartment of Research and Development, HumanTotalCare B.V., Zwarte Woud 10, Utrecht, 3524 SJ, The Netherlands.
Bart AbenDepartment of Research and Development, HumanTotalCare B.V., Zwarte Woud 10, Utrecht, 3524 SJ, The Netherlands.
Astrid de WindAmsterdam UMC Location University of Amsterdam, Public and Occupational Health, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSeveral predictors have been identified for mental sickness absence, but those for recurrences are not well-understood. This study assesses recurrence rates for long-term mental sickness absence (LTMSA) within subgroups of common mental disorders (CMDs) and identifies predictors of recurrent LTMSA.

methodsThis historical prospective cohort study used routinely collected data from 16,310 employees obtained from a nationally operating Dutch occupational health service (ArboNed). Total follow-up duration was 23,334 person-years. Overall recurrence rates were assessed using Kaplan-Meier estimators. Recurrence rates within subgroups of CMDs were calculated using person-years. Univariable and multivariable Cox proportional hazards models were used to identify predictors.

results15.6% of employees experienced a recurrent LTMSA episode within three years after fully returning to work after a previous LTMSA episode. Highest recurrence rates for LTMSA were observed after a previous LTMSA episode due to mood or anxiety disorders. Mood or anxiety disorders and shorter previous episode duration were predictors of recurrent LTMSA. No associations were found for age, gender, company size, full-time equivalent and job tenure.

conclusionEmployees should be monitored adequately after they fully returned to work after LTMSA. It is recommended to monitor high-risk employees (i.e. employees with mood or anxiety disorders and short LTMSA episode) more intensively, also beyond full return to work. Moreover, diagnosis of anxiety and depressive symptoms should be given a higher priority in occupational healthcare.

Indexed as

Mental DisordersSick LeaveAbsenteeismAdultAnxiety DisordersFemaleHumansIncidenceKaplan-Meier EstimateMaleMiddle AgedNetherlandsProportional Hazards ModelsProspective StudiesRecurrenceReturn to WorkCox proportional hazards modelOccupational healthPrognostic factorRecurrent sickness absenceSick leaveSurvival analysis

Identifiers

PMID39066861
PMCPMC12361271

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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.