Discriminatory Ability of Adiposity Phenotypes in Identifying Cardiometabolic Disorders in Indigenous and Non-indigenous African Populations

Background: Whether any of the anthropometric indices are associated with cardiometabolic outcomes in indigenous Fulani African populations is not known. This study assesses anthropometric indices in predicting cardiometabolic outcomes in indigenous and non-indigenous populations. Methods: A population-based cross-sectional study recruited 1921 participants from the settled Fulani, nomadic pastoral Fulani and the general population. Body weight (BW), height, waist circumference (WC), and hip circumference (HC) were measured and body mass index (BMI), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), Conicity Index (Cindex), body adiposity index (BAI), body roundness index (BRI) and body shape index (ABSI) were determined. The associations of anthropometric indices with cardiometabolic disorders were assessed by multivariable adjusted logistic regression and the area under the receiver-operating characteristic curve compared the predictive abilities. Results: In women, BW and BMI showed good performance in identifying dysglycaemia in Fulbe and general population. In men, WC, HC and BRI, and WC and BRI had good performance in all groups to predict hypertension and dysglycaemia/hypertension respectively. All the anthropometric indices showed good performance to identify MetS. Conclusion: With transition from nomadic to settled life indigenous Fulani are at greater risk for MetS. Adiposity indices for identification of cardiometabolic disorders vary by ethnicity and sex. WC, WHtR and BRI are better anthropometric indices to identify MetS in indigenous Fulani population.

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Publication Details

Journal
Journal of Diabetes and Clinical Research
Published
2025-01-01
DOI
https://doi.org/10.33696/diabetes.6.065
Primary Topic
Body Composition Measurement Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Discriminatory Ability of Adiposity Phenotypes in Identifying Cardiometabolic Disorders in Indigenous and Non-indigenous African Populations

Jean Claude Mbanya, Clément Kufe
Journal of Diabetes and Clinical Research
Body Composition Measurement Techniques
article

Discriminatory Ability of Adiposity Phenotypes in Identifying Cardiometabolic Disorders in Indigenous and Non-indigenous African Populations

Jean Claude Mbanya, Clément Kufe
article en

Abstract

Background: Whether any of the anthropometric indices are associated with cardiometabolic outcomes in indigenous Fulani African populations is not known. This study assesses anthropometric indices in predicting cardiometabolic outcomes in indigenous and non-indigenous populations. Methods: A population-based cross-sectional study recruited 1921 participants from the settled Fulani, nomadic pastoral Fulani and the general population. Body weight (BW), height, waist circumference (WC), and hip circumference (HC) were measured and body mass index (BMI), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), Conicity Index (Cindex), body adiposity index (BAI), body roundness index (BRI) and body shape index (ABSI) were determined. The associations of anthropometric indices with cardiometabolic disorders were assessed by multivariable adjusted logistic regression and the area under the receiver-operating characteristic curve compared the predictive abilities. Results: In women, BW and BMI showed good performance in identifying dysglycaemia in Fulbe and general population. In men, WC, HC and BRI, and WC and BRI had good performance in all groups to predict hypertension and dysglycaemia/hypertension respectively. All the anthropometric indices showed good performance to identify MetS. Conclusion: With transition from nomadic to settled life indigenous Fulani are at greater risk for MetS. Adiposity indices for identification of cardiometabolic disorders vary by ethnicity and sex. WC, WHtR and BRI are better anthropometric indices to identify MetS in indigenous Fulani population.

Journal of Diabetes and Clinical ResearchVol. 7(1)
World Diabetes Foundation
Reduced inequalities
Openalex Percentile: Top 74%
Body Composition Measurement Techniques
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Discriminatory Ability of Adiposity Phenotypes in Identifying Cardiometabolic Disorders in Indigenous and Non-indigenous African Populations — Jean Claude Mbanya, Clément Kufe · Journal of Diabetes and Clinical Research (2025) | TGRS Research Map | TGRS