Evidence map›Paper›PMID 32425748›Full record

ArticleFrontiers in neuroscience2020

From Work Well-Being to Burnout: A Hypothetical Phase Model.

L P Morera, J I Gallea, M A Trógolo, M E Guido, L A Medrano

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

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

  1. Biological Markers of Burnout Severity: A Systematic Review.Stress and health : journal of the International Society for the Investigation of Stress · 2026
    Pooled it
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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

5 authors.

L P MoreraInstituto de Organizaciones Saludables, Universidad Siglo 21, Córdoba, Argentina.
J I GalleaInstituto de Organizaciones Saludables, Universidad Siglo 21, Córdoba, Argentina.
M A TrógoloInstituto de Organizaciones Saludables, Universidad Siglo 21, Córdoba, Argentina.
M E GuidoDepartamento de Biología Química, Universidad Nacional de Córdoba, Córdoba, Argentina.
L A MedranoInstituto de Organizaciones Saludables, Universidad Siglo 21, Córdoba, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Upon exposure to chronic stressors, how do individuals move from being in a healthy state to a burnout? Strikingly in literature, this has prevailed a categorical view rather than a dimensional one, thus the underlying process that explains the transition from one state to another remains unclear. The aims of the present study are (a) to examine intermediate states between work engagement and burnout using cluster analysis and (b) to examine cortisol differences across these states. Two-hundred and eighty-one Argentine workers completed self-report measures of work engagement and burnout. Salivary cortisol was measured at three time-points: immediately after awakening and 30 and 40min thereafter. Results showed four different states based on the scores in cynicism, exhaustion, vigor, and dedication: engaged, strained, cynical, and burned-out. Cortisol levels were found to be moderate in the engaged state, increased in the strained and cynical states, and decreased in the burned-out state. The increase/decrease in cortisol across the four stages reconciles apparent contradictory findings regarding hypercortisolism and hypocortisolism, and suggests that they may represent different phases in the transition from engagement to burnout. A phase model from engagement to burnout is proposed and future research aimed at evaluating this model is suggested.

Indexed as

burnoutcortisolengagementHPAstresswell-beingworkplace

Identifiers

PMID32425748
PMCPMC7212378

What OpenQuestion holds

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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.