ArticleAIMS public health2021
Optimal cut-offs of five anthropometric indices and their predictive ability of type 2 diabetes in a nationally representative Kenyan study.
Article in AIMS public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 8 citations in OpenAlex.
- Waist Circumference, Relative Fat Mass Index, and BMI as Classifiers of Diabetes Status: A Comparative, Cross-sectional Analysis in 82 Low- and Middle-Income Countries.Diabetes care · 2026Article
- A Stratification Method for Identifying Subgroups at High-Risk for Type 2 Diabetes in sub-Saharan Africa.Nature communications · 2026Article
- Comparative Analysis of Type 2 Diabetes Prevalence and Clinical Profiles in Ethiopia and Nigeria.Journal of diabetes · 2025Article
- Knowledge, perceptions and practices towards diabetes risk in sub-Saharan Africa: a mixed-methods scoping review.Public health nutrition · 2024Article
- Association of BMI and incidence of type 2 diabetes in Saudi population.Health science reports · 2024Article
- Perceptions of diabetes risk and prevention in Nairobi, Kenya: A qualitative and theory of change development study.PloS one · 2024Article
- Article
- Association between Three Waist Circumference-Related Obesity Metrics and Estimated Glomerular Filtration Rates.Journal of clinical medicine · 2022Article
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Abstract
backgroundType 2 diabetes (T2D) is one of the top non-communicable diseases in Kenya and prevention strategies are urgently needed. Intervening to reduce obesity is the most common prevention strategy. However, black populations develop T2D at lower obesity levels and it is unclear which anthropometric cut-offs could provide the best predictive ability for T2D risk. This study, therefore, aimed to determine the optimal anthropometric cut-offs and their predictive ability of T2D in Kenya.
methodsThe study included 2159 participants (59% women) aged 35-70 years from the Kenya STEPwise survey conducted in 2014. Five anthropometric indices were used-body mass index (BMI), waist circumference (WC), waist to hip ratio (WHR), waist to height ratio (WHtR) and waist divided by height
resultsOverall, the optimal cut-off for BMI, WC, WHR, WHtR and WHt.5R were 24.8 kg.m
conclusionsWC, WHtR and WHt.5R were better predictors of T2D than BMI and should be used for risk stratification in Kenya. A WC cut-off of 87cm in women and 91cm in men, a WHtR cut-off of 0.54 or a WHt.5R of 6.9 in both men and women should be used to identify individuals at an elevated risk of T2D.
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