Year: 2026
Type: article
Study design: Observational Study
Abstract: ABSTRACT Background Sudan ranks 27th globally in stroke‐related deaths, with an age‐adjusted death rate of 136.47 per 100,000 people. Adequate knowledge among the population, particularly during times of conflict, can improve stroke outcomes. Objectives To assess the Sudanese population's knowledge toward stroke in 2024. Methods This cross‐sectional study was conducted from April to May 2024 among the Sudanese population who were aged more than 18 years. The study participants filled out a self‐administered online questionnaire that was composed of two sections: sociodemographic characteristics and knowledge toward stroke. The data were collected through convenience sampling. Frequencies, percentages, and associations were calculated through SPSS 28. Linear regression analysis was used to measure the association between the sociodemographic factors associated with stroke knowledge. Results We received 1124 responses; 56.9% ( n = 639) were female, and 80.8% ( n = 908) were aged 18–36 years. High blood pressure (85.2%, n = 958) and previous history of stroke (72.3%, n = 813) were the most identified risk factors, whereas difficulty speaking (76.1%, n = 855) and severe unexplained headache (76.1%, n = 855) were the most recognized symptoms. However, 39.9% ( n = 448), 46.6% ( n = 524), and 43.3% ( n = 487) did not recognize personality changes, depression, and bladder dysfunction, respectively, as possible complications of stroke. Conclusion Awareness of stroke risk factors and the appropriate emergency response was generally adequate, but the recognition of warning symptoms and complications, such as personality changes, depression, and bladder dysfunction, was incomplete. As the sample was predominantly educated, awareness is likely lower in the general population, highlighting the need for targeted health‐education efforts on symptom and complication recognition, especially among less‐educated and rural groups.
Source: Public Health Challenges
DOI: 10.1002/puh2.70409
Authors: Fatima Elbasri Abuelgasim Mohammed, Amna Alrasheed Abuzaid Ali, Ammar Elgadi, Ragad Magdi Mohammed Elamin Yousif, Israa Elbagir Mohamed Nassir, Ola Awad Babiker Adam, Reem Seifeldawla Taha Mohamed Osman, Igbal Izzeldin Ahmed Abuzeid, Yasir Eltayeb Elkhalifa Yousif Omer, Mohammed Alamin Mokhtar Omer, Rawan Seifeldawla Taha Mohamedosman, Wadaha Mohamed Nouh, Khalid Abbas Hassan Saad, Mohamed Eltag Abdelmutalib Mohamed, Khabab Abbasher Hussien Mohamed Ahmed
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,650
OpenAlex ID: W7221764032
