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. 2025 Oct 22;26(1):579.
doi: 10.1186/s12882-025-04448-x.

Association between metabolic health status and chronic kidney disease in the population of the northern region of Senegal: a cross-sectional study

Affiliations

Association between metabolic health status and chronic kidney disease in the population of the northern region of Senegal: a cross-sectional study

Modou Ndongo et al. BMC Nephrol. .

Abstract

Introduction: Chronic kidney disease (CKD) is a major public health problem worldwide. Data have shown the deleterious effects of metabolic abnormalities such as diabetes, hypertension and dyslipidemia on the occurrence of CKD. Obesity also contributes to this deterioration of kidney function. The objective of this study was to examine the proportion CKD and its associated risk factors within the different categories of metabolic health status.

Patients and methods: We conducted a cross-sectional study in the general population of three northern regions in Senegal using a two-level cluster sampling method. The sample was constituted with a precision of 5%, a power of 80% and a 10% attrition margin. Individuals aged 18–80 years were included in the study after giving their consent. Pregnant women, hospitalized persons within the past three months, patients with general or urinary symptoms within the past seven days and individuals undergoing kidney replacement therapy were excluded. Clinical and biological data were collected at participants’ homes by investigators using a modified version of the world health organization (WHO)’s STEPwise questionnaire.

Results: A total of 2439 participants were included in the study with a mean age of 45.4 ± 16.0 years and a sex ratio M: F of 2:5. Overall proportion of Metabolically Healthy No Obesity (MH-NO), Metabolically Unhealthy No Obesity (MU-NO), Metabolically Healthy Obesity (MH-O) and Metabolically Unhealthy Obesity (MU-O) were 79.9%, 9.1%, 10.5% and 8.4% respectively. Four hundred and thirty-five participants (17.8%) had CKD. Prevalence rates of CKD were higher among metabolically unhealthy phenotype participants regardless their body mass index (BMI), 27.0% in MU-NO and 27.8% in MU-O. In metabolically healthy participants those with obesity had a higher proportion of CKD (20.2%) compared to those without obesity (15.2%). In univariate analysis, MH-O and MU-O were significantly associated with CKD. In multivariate adjusted analysis, the odds of having CKD were higher in MU-O (OR: 2.15; 95% CI: 1.53, 2.98) and MU-NO (OR: 2.07; 95% CI: 1.49, 2.84) in the crude model. However, the association was not significative after adjustment for potential confounders.

Conclusion: Unhealthy metabolic phenotype and obesity were common in this cohort and were associated with a significant high prevalence of CKD compared to healthy participants. That prevalence appears to be even higher in individuals with both metabolically unhealthy phenotype and obesity.

Keywords: Chronic kidney disease; Metabolic health; Obesity; Senegal.

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Conflict of interest statement

Declarations. Ethical approval: The study was conducted in accordance with the Declaration of Helsinki, and the study protocol was approved by the internal review board for ethical issues (n°0021/CER/UCAD). A form of informed consent was signed by participants to agree to data collection. All participants were personally informed of their screening results, and those with abnormal values were referred to a specialist for further investigation and treatment. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Flow diagram of study participants. MH-NO = Metabolically Healthy-No Obesity, MU-NO = Metabolically Unhealthy-No obesity, MH-O = Metabolically Healthy-Obesity, MU-O = Metabolically Unhealthy-Obesity
Fig. 2
Fig. 2
Proportion of chronic kidney disease according to metabolic health status. MH-NO = Metabolically Healthy-No Obesity; MU-NO = Metabolically Unhealthy-No obesity; MH-O = Metabolically Healthy-Obesity; MU-O = Metabolically Unhealthy-Obesity; CKD = chronic kidney disease. p-value < 0.001
Fig. 3
Fig. 3
Boxplot of mean estimated glomerular filtration rate (eGFR) by number of the metabolic health components

References

    1. Cockwell P, Fisher LA. The global burden of chronic kidney disease. Lancet 29 Févr. 2020;395(10225):662–4. - DOI - PubMed
    1. Huh JH, Yadav D, Kim JS, Son JW, Choi E, Kim SH, et al. An association of metabolic syndrome and chronic kidney disease from a 10-year prospective cohort study. Metabolism 1 Févr. 2017;67:54–61. - DOI - PubMed
    1. Xie Y, Bowe B, Mokdad AH, Xian H, Yan Y, Li T, et al. Analysis of the global burden of disease study highlights the global, regional, and National trends of chronic kidney disease epidemiology from 1990 to 2016. Kidney Int 1 Sept. 2018;94(3):567–81. - DOI - PubMed
    1. Wang H, Naghavi M, Allen C, Barber RM, Bhutta ZA, Carter A, et al. Global, regional, and National life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the global burden of disease study 2015. Lancet. Oct 2016;8(10053):1459–544. - PMC - PubMed
    1. Nashar K, Egan BM. Relationship between chronic kidney disease and metabolic syndrome: current perspectives. Diabetes. Metabolic Syndrome Obes 18 Sept. 2014;7:421–35. - PMC - PubMed

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