Statistical and machine-learning assessment of attitudinal, knowledge, and perceptual factors on diabetes awareness in Kuwait
The current study reveals that gender, age groups, kidney disorders and healthcare provider interactions among others, are significantly associated with the awareness and attitude towards diabetes among the Kuwaiti population. On one hand, males and older age groups found to be at higher risk whereas, obesity and pregnancy related diabetes seemed to have a protective effect. The current study findings emphasize the importance of designing specific public health policy and education programs that takes into account the demographic factors to enhance effective diabetes management and prevention strategies. These study findings offer policy knowledge that can assist policymakers to plan and implement more robust health policies that address specific population subgroup needs and challenges.
Authors
- Ahmad T. Al‐Sultan (ORCID: https://orcid.org/0000-0003-4504-6195)
- Balqees Alawadhi (ORCID: https://orcid.org/0000-0003-4950-0930)
- Jiazhu Pan (ORCID: https://orcid.org/0000-0001-7346-2052)
- Ahmad Alsaber (ORCID: https://orcid.org/0000-0001-9478-0404)
- Sarah Al-Shamali (ORCID: https://orcid.org/0000-0001-8286-1565)
- Khalida Al-Kenane
- Anwaar Al Kandari
Institutions
- Public Authority for Applied Education and Training (KW)
- Gulf University for Science & Technology (KW)
- University of Strathclyde (GB)
- Kuwait University (KW)
- Kuwait College of Science and Technology (KW)
- American University of Kuwait (KW)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2025-10-14
- DOI
- https://doi.org/10.1186/s12911-025-03212-3
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 2.94