Psychological status of medical students and interns in the wake of the armed conflict of April 2023 in Sudan. A cross-sectional study.
Abdulhamid, S. M.; Almokdad, F. K.; Ahmed, R. J. Q.; Elbashir, R. M. A. M.; Suleiman, Y. A. A.
Show abstract
The ongoing civil war in Sudan of April 2023 has erupted as two belligerent groups vie for the position of ruler in the country, resulting in severe detrimental effects throughout the population, from deaths to property losses to severe deterioration of the already strained infrastructures of the country, to the sheer psychological trauma from observing and suffering the ongoing dramatic events. A subgroup is the medical students and interns in Sudan, who suffered direct losses in every regard, from sheer psychological distress to deaths, with material losses and career disruptions. We believe this is a group that should be paid due attention. This study aims to determine whether certain elements can be viewed as correlates of the psychological disorders we expect to see prevalent and their prevalences. An online cross-sectional study was undertaken using several sampling methods to reach as far as we possibly could under the circumstances, with a structured questionnaire containing items divided between demographics, what we perceive to be factors, and scales (PHQ-9, GAD-7, AIS-8, and ITQ). The Survey was conducted from September 11th to 30th, 2023, resulting in 7306 responses, of which 665 were excluded. A sample of 6641 were included, of which 2370 (35.7%) were males and 4271 (64.3%) were females. We found prevalences of 33.7% for depression, 22.4% for anxiety, 13.6% for PTSD, and 59.5% for Insomnia, correlating with several factors, noted to impact the psychological health of our sample. Our findings suggest the need for purposeful, directed interventions to mitigate the impact of this conflict, and all that may follow.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Depressive and anxiety symptoms and COVID-19-related factors among men and women in Nigeria 97%
- Fear among Syrians: a Proposed Cutoff Score and Validation of the Arabic Fear of COVID-19 Scale- A National Survey 97%
- Changes in hospital staff mental health during the Covid-19 pandemic: longitudinal results from the international COPE-CORONA study 97%
Similar papers in this journal
- Prevalence and Risk Factors for Acute Posttraumatic Stress Disorder during the COVID-19 Outbreak 97%
- Closed Doors: Predictors of Stress, Anxiety, Depression, and PTSD During the Onset of COVID-19 Pandemic in Brazil 96%
- Mental Health Conditions in Lesbian, Gay, Bisexual, Transgender, Queer and Asexual Youth in Brazil: a call for action 95%
Similar papers in this journal
- The prevalence, incidence and risk factors of mental health problems and mental health services use before and 9 months after the COVID-19 outbreak among the general Dutch population. A 3-wave prospective study 95%
- Higher levels of serum IL-1β and TNF-α are associated with an increased probability of major depressive disorder 95%
- The recurrence of illness (ROI) index is a key factor in major depression that indicates increasing immune-linked neurotoxicity and vulnerability to suicidal behaviors. 95%
Similar papers in this journal
- Psychiatric Manifestations and Associated Risk Factors among Hospitalized Patients with COVID-19 in Edo State, Nigeria 98%
- Impact of COVID-19 on College Students' at One of the Most Diverse Campuses in the United States: A Factor Analysis of Survey Data 96%
- Psychosocial impact of the Covid-19 pandemic: Identification of most vulnerable populations 96%
Similar papers in this journal
- Attitude towards Mental Help-Seeking, Motivation, and Economic Resources in Connection with Positive, Negative, and General Psychopathological Symptoms of Schizophrenia: A Pilot Study of a Psychoeducation Program 96%
- Ketamine for the multivariate effect of PTSD: Systematic review and meta-analysis 95%
- Sex-differences in determinants of suicide risk preceding psychiatric admission: An electronic medical record study 94%
"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.