Year: 2025
Type: book-chapter
Study design: Observational Study
Abstract: BACKGROUND: Early detection of Alzheimer's disease (AD) is vital in effectively implementing and promoting healthcare planning. AIMS: This study aimed to address the knowledge gap in awareness of AD among a sample of non-medical workers. METHODS: Egyptian non-medical workers older than 18 were requested to answer an online questionnaire distributed across various active and engaged social media groups (June 5, 2024-August 5, 2024). The questionnaire consisted of two sections: sociodemographic questions and the Arabic version of the Alzheimer's Disease Knowledge Scale (ADKS). ADKS includes 30 "true or false" questions that assess the knowledge of different aspects of AD. RESULTS: A total of 5304 completed the survey; 51.8% were aged below 30 years, 65.7% were females, and 69.8% had a university education. Twenty-four perecent had a family member diagnosed with AD. Social media means were the most commonly reported source of information (38.1%). The range of ADKS-total score was 7-30, with a mean of 19.49 ± 3.107. Most participants responded correctly to all items of the following domains: risk factors, assessment and diagnosis, and course of the illness. However, a knowledge gap exists regarding some aspects of caregiving. Caregivers had significantly lower mean scores in life impact and caregiving domains (P < 0.001, for each) than non-caregivers. On the other hand, scores in risk factors and course were significantly higher among caregivers than non-caregivers (P = 0.002, 0.016, respectively). CONCLUSION: Egyptian population has a relatively good understanding of AD. However, this study highlights the need to promote health education strategies to improve public knowledge about AD.
Authors: Rehab Magdy, Mona Hussein, Eman Hany Elsebaie, Ahmed Yehia Ismaeel, Elsayed Mahmoud Sabek, Wesam Osama, Sarah Heneidy, Ahmed Ali Abdelmonem, Nada Mamdouh Elbehiry, Mennat-Allah Tarek, Safaa Sayed Mustafa Ibrahim, Zizi E. I. Sabra, Sohaila Mohamed Mohamed Abdelbar, Nahed Shaban Hassan, Marwa Hasan, Alaa Elmazny
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,490
OpenAlex ID: W4410724633
