Hidden Scars: Prevalence of adverse childhood experiences (ACEs) among medical students at the University of Khartoum, Sudan
Tawfik, S.; Omer, A. T.; Shaaban, K. M.
Show abstract
BackgroundAdverse Childhood Experiences (ACEs) are widespread and have detrimental long-term effects in many aspects including physical and mental health, education and employment. Medical students are presumed to have had high rates of exposure and suffer consequences that might hinder their progression in undergraduate or postgraduate level. ObjectiveThe study aimed to determine the prevalence of adverse childhood experiences among different sociodemographic groups of medical students and elicit outcomes in self-perceived physical and mental health. MethodsThis was a descriptive cross sectional study, carried out among 326 medical students selected by stratified and systematic random sampling, using online self-administered questionnaire (ACE-IQ), The data was analyzed using statistical package for social sciences (SPSS), Pearson chi-square test was performed to measure associations and binary logistic regression to determine the significance and odds that a student exposed to childhood trauma or ACEs is likely to report negative effects on their physical health as well as mental health. Results81.9% of students reported at least one ACE and 23.9% reported > 4. Male gender, age group 18-21, medical students raised in a rural setting, and low family income sociodemographic groups demonstrated higher prevalence. The study noted a significant association between rising ACE scores and expressing negative effects on mental health (OR: 1.359, p value: .000, 95% CI:1.195-1.546) and Physical health (OR: 1.177, p value: 0.01, 95% CI: 1.040-1.333). ConclusionsACEs are highly prevalent among medical students, with 4 out of every 5 students being exposed and only one being unexposed. In addition, increasing exposure to adversity was associated with negative effects on physical and mental health in a graded exposure-effect manner.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Health-Related Quality of Life and Coping Strategies adopted by COVID-19 survivors: A nationwide cross-sectional study in Bangladesh 97%
- A cross-sectional survey of burnout in a sample of resident physicians in Sudan 97%
- Intimate partner violence in Nepal: Analysis of Nepal Demographic and Health survey 2022 97%
Similar papers in this journal
- Prevalence and associated factors of gender-based violence for female: Evidence from school students in Nepal- a cross sectional study 98%
- Knowledge, perception, and attitude toward premarital screening among university students in Kurdistan region- Iraq 97%
- Prevalence of Social Anxiety Disorder and its associated factors among Foreign-born Undergraduate Students in Türkiye: A Cross-Sectional Study 96%
Similar papers in this journal
- Comparative study between first and second wave of COVID-19 deaths in India - a single center study 95%
- Data Driven Monitoring in Community Based Management of SAM children using Psychometric Techniques: An Operational Framework 95%
- Age Based Trends for Unplanned Pediatric Rehospitalizations in the United States 93%
Similar papers in this journal
- Psychosocial Factors of Stigma and Relationship to Healthcare Service among Adolescents Living With HIV/AIDS in Kano State, Nigeria 96%
- Self-learning on COVID-19 among medical students and their preparedness to participate in government's COVID-19 response in Bhutan: a cross-sectional study 95%
- Determinants of infant formula feeding in Debre Berhan city: A community-based cross-sectional study 93%
Similar papers in this journal
- Effect of introducing interprofessional education concepts on students of various healthcare disciplines in the United Arab Emirates 94%
- Perceptions, attitudes, and challenges regarding continuing professional development among Ethiopian Medical Laboratory professionals: A mixed-method study 94%
- Competency for Japanese Novice Medical Laboratory Scientists: A Delphi Method 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.