ArticleThe journal of nutrition, health & aging2025
CUN-BAE adiposity index prediction of incident type 2 diabetes: the Seguimiento Universidad de Navarra prospective cohort.
Article in The journal of nutrition, health & aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Mapping sex-specific associations of adiposity with age-related cognitive decline and multimodal Alzheimer's pathology.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Work engagement and its association with obesity and lifestyle factors in a large working population: a sex-stratified analysis.AIMS public health · 2026Article
- Association of the CUN-BAE index with glycemic outcomes in individuals with impaired fasting glucose: a retrospective multicenter Chinese cohort study.Frontiers in nutrition · 2026Article
- Association of Shift Work, Health Behaviors, and Socioeconomic Status with Diabesity in over 53,000 Spanish Employees.Journal of clinical medicine · 2025Article
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7 authors.
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Abstract
backgroundObesity is currently a pandemic and a cardinal risk factor for incident diabetes, a parallel growing pandemic. Measures commonly used to define obesity, i.e., BMI and waist circumference, do not accurately reflect body fatness.
methodsWe examined the prognostic value of body fatness assessed with the 'Clínica Universidad de Navarra-Body Adiposity Estimator' (CUN-BAE, range: 18.4-65.0 %) in 18,594 participants of the "Seguimiento Universidad de Navarra" prospective longitudinal cohort (60.5% women) without diabetes at baseline. Participants were followed-up with biennial questionnaires and multivariable-adjusted Cox models were used to estimate incident diabetes.
resultsDuring 13.7 years of median follow-up, 209 participants developed diabetes. Progressively ascending quartiles of CUN-BAE were significantly associated with incident diabetes in multivariable-adjusted models, even after adjusting for BMI > 30 kg/m
conclusionsCUN-BAE index, an easy equation that can be used in any clinical setting, predicted better the risk of incident diabetes compared to BMI. Our results emphasize the importance of reducing and maintaining a low adiposity in order to prevent diabetes.
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