Generalized anxiety disorder and associated factors among Sudanese adolescents during the Sudan Army conflict: A cross sectional study

GAD was highly prevalent among the Sudanese adolescents included in the present study. The findings will help the government to provide proper mental health interventions for affected people.

Authors

Institutions

Publication Details

Journal
Global Epidemiology
Published
2025-02-16
DOI
https://doi.org/10.1016/j.gloepi.2025.100190
Citations
4
Primary Topic
Migration, Health and Trauma
Type
article
Field-Weighted Citation Impact
9.23
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Generalized anxiety disorder and associated factors among Sudanese adolescents during the Sudan Army conflict: A cross sectional study

Mohammed Haydar Awad, Lina Hemmeda, Maeen Mohieldin Mohamed, Maram Elmutasim
4 citations
Global Epidemiology
Migration, Health and Trauma
9.23
article

Generalized anxiety disorder and associated factors among Sudanese adolescents during the Sudan Army conflict: A cross sectional study

Mohammed Haydar Awad, Lina Hemmeda, Maeen Mohieldin Mohamed, Maram Elmutasim
article en
4 citations

Abstract

GAD was highly prevalent among the Sudanese adolescents included in the present study. The findings will help the government to provide proper mental health interventions for affected people.

Global EpidemiologyVol. 9
University of Khartoum (SD), Basildon and Thurrock University Hospitals NHS Foundation Trust (GB), Ahfad University for Women (SD), Karary University (SD)
Openalex Percentile: Top 3%
Migration, Health and Trauma
9.23
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.