Assessment of psychological well-being among female medical residents in Tunisia

Introduction Medical residents encounter high work demands, significant responsibilities, and a strong commitment to their roles. Female residents, in particular, face unique challenges that can affect their emotional and mental well-being. Emotional intelligence (EI), resilience, and mental health disorders are critical factors influencing their performance and job satisfaction. Objectives This study aims to assess and evaluate these factors among female medical residents in Tunisian hospitals. Methods We conducted a cross-sectional study involving female medical residents undergoing training in Tunisian hospitals. Data were collected anonymously through a questionnaire-based survey using Google Forms between October 2023 and January 2024. Participants completed a sociodemographic questionnaire, followed by four scales : the Trait Emotional Intelligence Questionnaire-Short Form (TEIQue-SF), which assesses global trait EI, the Brief Resilience Scale (BRS), the Perceived Stress Scale-4 (PSS-4) to measure stress levels, and the Patient Health Questionnaire-4 (PHQ-4) to assess levels of depression and anxiety. An additional question was included to evaluate job satisfaction on a scale ranging from 0 to 10. Results ur study included 95 female participants. The mean age was 27.14 ±1.29 years, with the majority (95.8%) being under 30. Most participants were single (78.9%), and only 6.3% were smokers. The mean resilience score was 3±0.75, while the total EI score averaged 4.52±0.67. The mean scores for the PSS-4 and the PHQ-4 were 7.54±2.47 and 4.19±2.89, respectively. The mean work satisfaction level was 6.19±1.75. Univariate analysis showed that higher resilience and EI levels were more common among non-smokers (p = 0.045 and p = 0.02). Furthermore, greater work satisfaction was significantly associated with lower stress (p = 0.000, r = -0.482), anxiety and depression (p = 0.000, r = -0.42), and higher resilience (p = 0.000, r = 0.359) and EI (p = 0.000, r = 0.444). Conclusions Our study highlights the importance of addressing emotional intelligence, resilience, and mental health disordes among female medical residents to enhance their overall well-being and job satisfaction. Targeted interventions are essential to support their mental health and optimize their performance in demanding roles. Disclosure of Interest None Declared

Authors

Institutions

Publication Details

Journal
European Psychiatry
Published
2025-04-01
DOI
https://doi.org/10.1192/j.eurpsy.2025.2432
Primary Topic
Health and Well-being Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessment of psychological well-being among female medical residents in Tunisia

Kaouthar Jmal Hammami, Mohamed Larbi Masmoudi, Imen Sellami, A. Feki et al.
European Psychiatry
Health and Well-being Studies
article

Assessment of psychological well-being among female medical residents in Tunisia

Kaouthar Jmal Hammami, Mohamed Larbi Masmoudi, Imen Sellami, A. Feki, M. Hajjaji, H. Daoud
article en

Abstract

Introduction Medical residents encounter high work demands, significant responsibilities, and a strong commitment to their roles. Female residents, in particular, face unique challenges that can affect their emotional and mental well-being. Emotional intelligence (EI), resilience, and mental health disorders are critical factors influencing their performance and job satisfaction. Objectives This study aims to assess and evaluate these factors among female medical residents in Tunisian hospitals. Methods We conducted a cross-sectional study involving female medical residents undergoing training in Tunisian hospitals. Data were collected anonymously through a questionnaire-based survey using Google Forms between October 2023 and January 2024. Participants completed a sociodemographic questionnaire, followed by four scales : the Trait Emotional Intelligence Questionnaire-Short Form (TEIQue-SF), which assesses global trait EI, the Brief Resilience Scale (BRS), the Perceived Stress Scale-4 (PSS-4) to measure stress levels, and the Patient Health Questionnaire-4 (PHQ-4) to assess levels of depression and anxiety. An additional question was included to evaluate job satisfaction on a scale ranging from 0 to 10. Results ur study included 95 female participants. The mean age was 27.14 ±1.29 years, with the majority (95.8%) being under 30. Most participants were single (78.9%), and only 6.3% were smokers. The mean resilience score was 3±0.75, while the total EI score averaged 4.52±0.67. The mean scores for the PSS-4 and the PHQ-4 were 7.54±2.47 and 4.19±2.89, respectively. The mean work satisfaction level was 6.19±1.75. Univariate analysis showed that higher resilience and EI levels were more common among non-smokers (p = 0.045 and p = 0.02). Furthermore, greater work satisfaction was significantly associated with lower stress (p = 0.000, r = -0.482), anxiety and depression (p = 0.000, r = -0.42), and higher resilience (p = 0.000, r = 0.359) and EI (p = 0.000, r = 0.444). Conclusions Our study highlights the importance of addressing emotional intelligence, resilience, and mental health disordes among female medical residents to enhance their overall well-being and job satisfaction. Targeted interventions are essential to support their mental health and optimize their performance in demanding roles. Disclosure of Interest None Declared

European PsychiatryVol. 68(S1)
University of Sfax (TN), Hopital Universitaire Hedi Chaker (TN)
Openalex Percentile: Top 66%
Health and Well-being Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.