Evidence map›Paper›PMID 36003228›Full record

ArticleJournal of education and health promotion2022

Academic burnout among trainee teachers during the COVID-19 pandemic: Effect of sociodemographic factors.

Abdelmounaim Bouhaba, Youssef El Madhi, Abdelmajid Soulaymani, Hinde Hami

Open access · goldAbstract read
In one paragraph

Article in Journal of education and health promotion, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 37% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Abdelmounaim BouhabaLaboratory of Biology and Health, Faculty of Science, Ibn Tofail University, Kenitra, Morocco.
Youssef El MadhiLaboratory of Education, Environment and Health (EES) at CRMEF Rabat/Sale/Kenitra, Morocco.
Abdelmajid SoulaymaniLaboratory of Biology and Health, Faculty of Science, Ibn Tofail University, Kenitra, Morocco.
Hinde HamiLaboratory of Biology and Health, Faculty of Science, Ibn Tofail University, Kenitra, Morocco.
Université Ibn-Tofail · MA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe trainee teacher seems to be more and more faced with frustration and stress during the training phase, caused by accumulation of requirements and duties, making them susceptible to the risk of burnout. The purpose of this work is to study the academic burnout of trainee teachers at the Rabat-Sale-Kenitra region's Regional Center for Education and Training Professions during the COVID-19 pandemic. MATERIALS AND

methodsSeven hundred thirty-nine trainee teachers responded to a self-questionnaire comprising the Maslach Burnout Inventory-Student Survey scale in its French validated version, as well as stress factors during the academic year 2020-2021. Both inferential and descriptive methods of data analysis were used to represent the effect of sociodemographic variables on burnout levels during the COVID-19 pandemic.

resultsIn agreement with the literature, most of trainee teachers show moderate and high levels of academic exhaustion; the main stressors presented are financial instability and training overload, and the level of study influences the scale of burnout among trainee teachers.

conclusionThe result of this study can serve as a predictor of academic burnout among Moroccan trainee teachers.

Indexed as

BurnoutCOVID-19Maslach Burnout Inventory–Student Survey scalestresstrainee teacher

Identifiers

PMID36003228
PMCPMC9393945
OpenAlexW4293102090

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.