Prevalence and Factors Associated with Insomnia Among Chronic Disease Patients in Bangladesh: A Machine Learning Study
Insomnia was common among Bangladeshi chronic disease patients and linked to sociodemographic, behavioral, clinical, and mental health factors. CatBoost and other ML models showed strong predictive ability, supporting their use in early screening. Prospective studies are needed to validate these findings and guide targeted interventions.
Authors
- Pronab Das (ORCID: https://orcid.org/0009-0007-2407-2518)
- Firoj Al‐Mamun (ORCID: https://orcid.org/0000-0003-4611-9624)
- David Gozal (ORCID: https://orcid.org/0000-0001-8195-6036)
- Mohammed A. Mamun (ORCID: https://orcid.org/0000-0002-1728-8966)
- Abdullah Al Habib (ORCID: https://orcid.org/0009-0009-3508-8093)
- Moneerah Mohammad ALmerab (ORCID: https://orcid.org/0000-0003-4987-0309)
- Mohammad Arif (ORCID: https://orcid.org/0009-0003-6182-7810)
- Md Emran Hasan (ORCID: https://orcid.org/0000-0003-0221-1090)
Institutions
- Princess Nourah bint Abdulrahman University (SA)
- Gujarat Ayurved University (IN)
- University of South Asia (BD)
- Nanjing University of Science and Technology (CN)
- Chattogram Veterinary and Animal Sciences University (BD)
- Jahangirnagar University (BD)
- Marshall University (US)
Publication Details
- Journal
- Nature and Science of Sleep
- Published
- 2025-10-01
- DOI
- https://doi.org/10.2147/nss.s547335
- Citations
- 1
- Primary Topic
- Sleep and related disorders
- Type
- article
- Field-Weighted Citation Impact
- 2.12
Funders
- Princess Nourah Bint Abdulrahman University
- National Institutes of Health