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During the congress, E-Posters will be accessible to all participants on the congress website 24/7, as well as in the E-poster stations in the congress center.
Preparing your E-Poster
Please review the E-Poster format requirements carefully when preparing your E-Poster. Should your E-Poster not meet the mentioned requirements, it may not be displayed as described above.
E-Poster Submission Deadline
Please prepare and upload your E-Poster no later than March 14, 2026 11.59PM CET. After this date, you will no longer be able to prepare and upload your E-poster and it will not be displayed and accessible on the congress website.
Please follow the instructions below to input your abstract title.
Abstract titles should be brief and reflect the content of the abstract.
Obesity is a major global health concern and pandemic. Its prevalence is steadily on the rise and is estimated to increase by 50% in 2030. This increasing prevalence of overweight and obesity significantly increases the risk of Chronic Kidney Disease (CKD) and accelerate its progression. Several factors play important roles in the development of CKD in obesity, including insulin resistance, lipotoxicity, adipocytokine dysregulation, hypertension, and increased glomerular blood pressure. Amongst overweight and obese populations, the prevalence of CKD ranges between 24-33%. The incidence of CKD has increased worldwide in parallel with the increase in the prevalence of obesity. Furthermore, obesity complicates the delivery of optimal renal care once kidney failure has developed. Several global studies have identified an association between chronic kidney disease and obesity. In Cameroon, a few studies have shown an association between obesity and CKD. However the prevalence of CKD in overweight/obese and the factors driving CKD in this population is unknown. We therefore aimed to study the epidemiology of chronic kidney disease (CKD) among Overweight/Obese Adults in the Bamenda Municipality, North West region of Cameroon.
This was a cross-sectional study conducted in the Bamenda municipality from January to July 2025. We included all consenting overweight/obese participants and excluded pregnant women and participants known for CKD. We collected relevant data, performed urinalysis and serum creatinine and for those with raised serum creatinine and urine albumin, a second analysis was done after three months to confirm CKD. We used three equations to estimate glomerular filtration rate in our study population. Data was analyzed using the statistical software R version 4.3.3. A p-value of <0.05 was considered statistically significant. Ethical clearance was obtained from the Institutional Review Board, Faculty of Health Sciences, University of Bamenda.
Of a total of 180 participants recruited, 27 had chronic kidney disease, with a prevalence of 15% for the Chronic Kidney Disease Epidemiology Collaboration, Salazar-Corcoran and the European Kidney Function Consortium equations respectively. The grading of CKD was same across all equations as follows: 22 participants were in CKD G3 (eGFR = 30–59 ml/min/1.73m²) while 4 were in G4 (eGFR = 15–29 ml/min/1.73m²) and one participant in G5. A history of kidney stones (aOR = 7.33; 95% CI: 1.91–29.1; p = 0.004) and heart failure (aOR = 4.15; 95% CI: 1.05–17.9; p = 0.046) were independently associated with CKD. Being educated was a protective factor against CKD (aOR = 0.16; 95% CI: 0.03–0.97; p = 0.040). In all, 17(25.8%) participants who were diabetic patients had CKD and 10(8.8%) with CKD were non-diabetics. All three equations were consistent as they identified same people with CKD in the diabetic and non-diabetic groups.
CKD is prevalent in overweight and obesity. Most participants were diagnosed at moderate stages of severity, highlighting a significant burden of kidney impairment among the obese population. All three equations can be used to estimate kidney function for obese people with diabetes in order to optimally manage diabetes related kidney disease and especially in obesity.
