Evidence map›Paper›PMID 42210328›Full record

ArticleBMC medical education2026

Emotional intelligence and self-compassion as predictors of academic resilience among allied medical sciences students: a structural equation modeling study.

Elham Shahidi Delshad, Afzal Shamsi, Parnia Karimian, Nazanin Mohammadzade Jamalian, Sajad Yarahmadi

Abstract readMulticenter Study
In one paragraph

Article in BMC medical education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Elham Shahidi DelshadDepartment of Anesthesia, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
Afzal ShamsiDepartment of Anesthesia, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
Parnia KarimianDepartment of Anesthesia, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
Nazanin Mohammadzade JamalianDepartment of Anesthesia, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
Sajad YarahmadiSocial Determinants of Health Research Center, Shahid Madani Hospital, School of Nursing and Midwifery, Lorestan University of Medical Sciences, Khorramabad, Iran. s.yarahmadi000@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAllied health sciences students face considerable psychological demands during clinical training, which may contribute to elevated levels of stress, anxiety, and depressive symptoms. Identifying protective psychological factors is therefore important for supporting student well-being. This study examined a structural model of the associations among emotional intelligence, self-compassion, and academic resilience, with a focus on the potential mediating role of self-compassion.

methodsThis multi-center cross-sectional study included 452 students from anesthesia, operating room technology, and pre-hospital emergency care programs across four universities in Tehran. Data were collected using the Self-Compassion Scale-Short Form (SCS-SF), Brief Emotional Intelligence Scale (BEIS-10), and Academic Resilience Scale (ARS), all showing acceptable reliability (Cronbach's α > 0.70). Data were analyzed using Pearson correlation and Structural Equation Modeling (SEM) in AMOS. Model fit was evaluated using GFI, CFI, and RMSEA, and indirect effects were tested via bootstrapping.

resultsEmotional intelligence, self-compassion, and academic resilience were significantly and positively correlated (p < 0.001). The proposed model demonstrated acceptable fit (GFI = 0.94, CFI = 0.92, RMSEA = 0.072). Emotional intelligence (β = 0.440, p < 0.001) and self-compassion (β = 0.419, p < 0.001) were significantly associated with academic resilience, explaining 65% of its variance. Bootstrapping results indicated a significant indirect association of emotional intelligence with academic resilience through self-compassion (β = 0.321, p = 0.004).

conclusionThe findings suggest that emotional intelligence and self-compassion are important correlates of academic resilience among allied health sciences students. The results support an integrated model that may inform the design of interventions aimed at strengthening psychological resources and improving student well-being. Given the cross-sectional design, causal interpretations should be made with caution.

Indexed as

Allied Health PersonnelEmotional IntelligenceEmpathyResilience, PsychologicalAcademiaCross-Sectional StudiesFemaleHumansIranLatent Class AnalysisMaleReproducibility of ResultsSelf ConceptYoung AdultAcademic resilienceAllied medical sciences studentsEmotional intelligenceMediationSelf-compassionStructural equation modeling

Identifiers

PMID42210328
PMCPMC13403391

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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.