Prevalence and Associated Factors of Chronic Diseases Among Adults in Somaliland: A Multilevel Analysis From the 2020 SLHDSShow others and affiliations
2025 (English)In: Chronic diseases and translational medicine, ISSN 2589-0514, Vol. 11, no 4, p. 306-315Article in journal (Refereed) Published
Sustainable development
SDG 3: Good health and well-being
Abstract [en]
BACKGROUND: Chronic diseases represent a growing public health challenge globally, particularly in developing regions like Sub-Saharan Africa. Somaliland faces a dual burden of communicable and non-communicable diseases amidst post-conflict recovery, yet data on non-communicable disease (NCD) prevalence and determinants remain scarce. This study aimed to ascertain the prevalence and identify socio-demographic factors associated with self-reported chronic diseases among adults in Somaliland.
METHODS: This cross-sectional study utilized data from the Somaliland Health and Demographic Survey (SLHDS) 2020. The final sample of 11,153 adults had a highly skewed age distribution (94.6% aged 35-44), a primary limitation of this analysis. The outcome was a self-reported physician diagnosis of any chronic disease. A multilevel mixed-effect logistic regression model was employed to identify significant determinants while adjusting for confounders.
RESULTS: The analysis identified several factors associated with reporting a chronic disease. Higher odds were observed among female-headed households (adjusted odds ratio [AOR]: 1.26; 95% CI: 1.06-1.48) and divorced individuals (AOR: 1.92; 95% CI: 1.55-2.37). Conversely, lower odds were associated with higher education (AOR: 0.53; 95% CI: 0.34-0.82) and nomadic residence (AOR: 0.34; 95% CI: 0.22-0.51). Unexpectedly, lack of electricity and no savings were also associated with lower odds, likely reflecting diagnostic access bias and reverse causation.
CONCLUSION: Findings suggest that self-reported chronic diseases are associated with specific socio-demographic vulnerabilities in Somaliland. The results should be interpreted with extreme caution and viewed as hypothesis-generating at best. Future research using objective measures and representative sampling is urgently needed to validate these associations and accurately quantify the NCD burden.
Place, publisher, year, edition, pages
2025. Vol. 11, no 4, p. 306-315
Keywords [en]
Somaliland, Sub‐Saharan Africa, chronic diseases, health surveys, multilevel analysis, non‐communicable diseases, socio‐demographic determinants
National Category
Public Health, Global Health and Social Medicine
Identifiers
URN: urn:nbn:se:du-52000DOI: 10.1002/cdt3.70027PubMedID: 41341743Scopus ID: 2-s2.0-105021310847OAI: oai:DiVA.org:du-52000DiVA, id: diva2:2020166
2025-12-092025-12-092026-03-11Bibliographically approved