Evidence map›Paper›PMID 34636978›Full record

ArticleInternational archives of occupational and environmental health2022

Using latent profile analysis to understand burnout in a sample of Greek teachers.

Eleni Kalamara, Clive Richardson

Abstract read
PubMed Publisher
In one paragraph

Article in International archives of occupational and environmental health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
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

2 authors.

Eleni KalamaraEuropean Asylum Support Office, MTC Block A, Winemakers Wharf, Grand Harbour Valletta Waterfront, Valletta, MRS 1917, Malta. eleni.kalamara@easo.europa.eu.ORCID http://orcid.org/0000-0002-5444-3056
Clive RichardsonPanteion University of Social and Political Sciences, 17671, Athens, Greece.ORCID http://orcid.org/0000-0003-1339-8188

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe purpose of this study was to identify burnout profiles in Greek secondary school teachers using latent profile analysis.

methodsBurnout was measured using the Maslach Burnout Inventory (MBI) in a sample of 460 teachers.

resultsIn partial agreement with the literature, latent profile analysis revealed four profiles: Burnout (high on all three dimensions of the MBI), Engagement (low on all three), Overextended (high on exhaustion only) and Ineffective (high on inefficacy only). The most common profile among the teachers in this sample was overextended (50%). Teachers in each profile behaved differently with regard to job satisfaction and attitudes towards school-related sources of problems. In particular, Burnt-out teachers were more negative than the Engaged ones in almost all variables assessed, except educational policy, while differences between the two intermediate profiles were less marked. Engaged teachers showed the highest levels of job satisfaction, followed by Overextended and Ineffective, with Burnt-out teachers showing the lowest levels.

conclusionsThe derived profiles and their different attitudes showed the significance of all three dimensions of burnout syndrome. In practical terms, interventions appropriately targeted to each profile can be designed and implemented to prevent or reduce burnout.

Indexed as

Burnout, ProfessionalGreeceHumansJob SatisfactionSchoolsSchool TeachersBurnoutGreeceLatent profile analysisMaslach burnout inventoryTeacher

Identifiers

What OpenQuestion holds

Textmetadata
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.