Evidence map›Paper›PMID 36293607›Full record

SynthesisInternational journal of environmental research and public health2022

Holistic Assessment of Factors Associated with Exhaustion, the Main Symptom of Burnout: A Meta-Analysis of Longitudinal Studies.

Yara Shoman, Valentin Rousson, Renzo Bianchi, Irina Guseva Canu

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 3 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

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

8 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
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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.

Yara ShomanCenter of Primary Care and Public Health (Unisanté), University of Lausanne, 1066 Epalinges-Lausanne, Switzerland.ORCID 0000-0002-5331-4535
Valentin RoussonCenter of Primary Care and Public Health (Unisanté), University of Lausanne, 1066 Epalinges-Lausanne, Switzerland.
Renzo BianchiDepartment of Psychology, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway.ORCID 0000-0003-2336-0407
Irina Guseva CanuCenter of Primary Care and Public Health (Unisanté), University of Lausanne, 1066 Epalinges-Lausanne, Switzerland.ORCID 0000-0001-7059-8421

Funding

The European Union's Horizon 2020 research and innovation program (under the Marie Skłodowska-Curie grant agreement 801076the General Directorate of Health of the Canton of Vaud N◦8273/3636000000-801
6 · The paper itself

Abstract

backgroundThis meta-analysis summarized longitudinal findings pertaining to exhaustion's predictors. In so doing, our aim was ultimately to identify target factors for the prevention of burnout.

methodsWe searched for studies that (a) examined predictors of exhaustion longitudinally and (b) reported correlation coefficients as an effect estimate. We conducted our literature search in three databases: MEDLINE, PsycINFO, and Embase. We focused on studies published between January 1990 and November 2020. Predictors were grouped into families, subfamilies, and subgroups. A meta-analysis of z-transformed correlation coefficients (rho) was performed. The results were scrutinized in relation to studies' follow-up length.

resultsWe included 65 studies assessing 242 predictors of different types captured across different occupations. Our findings highlighted mostly weak associations (rho < 0.30). For six predictors-Job control, Job resources, Interactions at work, Communication and leadership, Job attitudes, and Work-family interface-longer length of follow-up involved weaker associations with exhaustion. The quality of the evidence available was generally low.

conclusionsThe evidence available does not point to clear target factors for preventing burnout. The decrease in associations as the follow-up length increases may suggest a relatively short latency period, followed by recovery. Higher-quality cohorts should be conducted to better understand the etiology and course of burnout.

Indexed as

Burnout, ProfessionalHumansJob SatisfactionLeadershipLongitudinal Studiesexposure assessmentexposure-response relationshiplatency periodoutcome measurementpredictorstress

Identifiers

PMID36293607
PMCPMC9602979

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.