Evidence map›Paper›PMID 42050720›Full record

ArticleBMC psychology2026

Self-compassion and burnout among medical students in Egypt: indirect effects through perceived stress.

Yusof Mohamed Omar, Mariam Wael, Lina Mohamed Omar, Nourhan Amr Elsaid, Naglaa Ahmed El-Imam, Raghad Ismael, Ahmed Abdelmageed, MSSA-Mansoura Team of Collaborators, Abdel-Hady El-Gilany

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Article in BMC psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Yusof Mohamed OmarFaculty of Medicine, Mansoura University, Mansoura, Egypt. yusofmohamed@std.mans.edu.eg.ORCID http://orcid.org/0009-0003-1857-0589
Mariam WaelFaculty of Medicine, Mansoura University, Mansoura, Egypt.
Lina Mohamed OmarFaculty of Medicine, Mansoura University, Mansoura, Egypt.
Nourhan Amr ElsaidFaculty of Medicine, Mansoura University, Mansoura, Egypt.
Naglaa Ahmed El-ImamFaculty of Medicine, Mansoura University, Mansoura, Egypt.
Raghad IsmaelFaculty of Medicine, Mansoura University, Mansoura, Egypt.
Ahmed AbdelmageedFaculty of Medicine, Mansoura University, Mansoura, Egypt.
MSSA-Mansoura Team of Collaborators
Abdel-Hady El-GilanyPublic Health and Community Medicine Department, Faculty of Medicine, Mansoura University, Mansoura, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies among medical students in Egypt consistently report high levels of stress, burnout, and significant hesitancy to seek mental health support. This study investigated the protective role of self-compassion, an internal psychological resource, against burnout.

methodsA cross-sectional study was conducted using an online questionnaire. A total of 649 medical students from a public university in Egypt were recruited via convenience sampling. Participants completed the Self-Compassion Scale–Short Form (SCS-SF), the Perceived Stress Scale (PSS-10), and the Burnout Assessment Tool (BAT-23). Bivariate associations were tested with Pearson correlations; multivariable linear regression assessed predictors of burnout. Indirect effects analysis was performed with bias-corrected bootstrapped confidence intervals (10,000 samples) to estimate indirect effects.

resultsA total of 649 medical students participated (mean age of 20.6; 58.4% female). Bivariate analyses revealed significant negative correlations between self-compassion and both perceived stress (r = -0.577) and burnout (r = -0.478), and a positive correlation between stress and burnout (r = 0.603; all p-values < .001). The multivarivable regression model explained 39.9% of burnout variance (R2 = .399); perceived stress was the a significant positive predictor (β = 0.488), while self-compassion remained a significant protective factor (β = -0.196). The indirect effects analysis confirmed a significant indirect effect of self-compassion on burnout via perceived stress (B = -0.026, 95% CI [-0.032, -0.021]). As the direct effect also remained significant (B = -0.018), a partial indirect effects model was supported, with the indirect pathway accounting for 59.2% of the total effect.

conclusionsHigher self-compassion is associated with lower burnout largely via an association with reduced perceived stress. Training self-compassion alongside stress-reduction strategies may help safeguard medical student well-being.

Indexed as

Burnout, ProfessionalEmpathySelf ConceptStress, PsychologicalStudents, MedicalSubjective StressAdultCross-Sectional StudiesEgyptFemaleHumansMaleYoung AdultBurnoutEgyptMedical studentsSelf-compassionStress

Identifiers

PMID42050720
PMCPMC13126970

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LicenceCC BY
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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.