ArticleLipids in health and disease2023
The relationship between the CUN-BAE body fatness index and incident diabetes: a longitudinal retrospective study.
Article in Lipids in health and disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 15 citations in OpenAlex.
- 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
- 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
- Age and sex adjusted adiposity estimators predict all cause and pneumonia related mortality in hospitalized older patients with severe dysphagia receiving artificial nutrition.Frontiers in nutrition · 2026Article
- CUN‑BAE predicts risk of metabolic dysfunction-associated steatotic liver disease: A prospective cohort study in non‑obese Chinese adults.Scientific reports · 2025Article
- Predictive performance of traditional and novel anthropometric indices for diabetes and hypertension.Journal of diabetes investigation · 2025Article
- Association of Shift Work, Health Behaviors, and Socioeconomic Status with Diabesity in over 53,000 Spanish Employees.Journal of clinical medicine · 2025Article
- CUN-BAE adiposity index prediction of incident type 2 diabetes: the Seguimiento Universidad de Navarra prospective cohort.The journal of nutrition, health & aging · 2025Article
- The Clínica Universidad de Navarra-Body Adiposity Estimator index is a reliable tool for prediabetes: a multi-center retrospective cohort study.Frontiers in nutrition · 2025Article
- The association between the CUN-BAE index and depression mediated by SIRI: A large cross-sectional study.PloS one · 2025Article
- Agreement between equation-derived body fat estimator and bioelectrical impedance analysis for body fat measurement in middle-aged southern Indians.Physiological reports · 2024Article
- The Clínica Universidad de Navarra-Body Adiposity Estimator index is a reliable tool for screening metabolic dysfunction-associated steatotic liver disease: an analysis from a gender perspective.Lipids in health and disease · 2024Article
- Association of the CUN-BAE body adiposity estimator and other obesity indicators with cardiometabolic multimorbidity: a cross-sectional study.Scientific reports · 2024Article
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Authors and funding
8 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundThe Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) index has been recommended as an ideal indicator of body fat and exhibited significant correlation with cardiometabolic risk factors. However, whether the CUN-BAE index correlates with incident diabetes in Asian populations is unknown. Therefore, this longitudinal study was designed to evaluate the association between baseline CUN-BAE index and type 2 diabetes mellitus (T2DM).
methodsThis retrospective longitudinal study involved 15,464 participants of 18-79 years of age in the NAGALA (NAfld in the Gifu Area Longitudinal Analysis) study over the period of 2004-2015. Cox proportional hazards regression was performed to test the relationship between the baseline CUN-BAE index and diabetes incidence. Further stratification analysis was conducted to ensure that the results were robust. The diagnostic utility of the CUN-BAE index was tested by the receiver operating characteristic (ROC) curve.
resultsOver the course of an average follow-up of 5.4 years, 373 (2.41%) participants developed diabetes. A higher diabetes incidence was associated with higher CUN-BAE quartiles (P for trend< 0.001). Each 1 unit increase in CUN-BAE index was associated with a 1.08-fold and 1.14-fold increased risk of diabetes after adjustment for confounders in males and females, respectively (both P < 0.001). Stratification analysis demonstrated a consistent positive correlation between baseline CUN-BAE and diabetes incidence. Moreover, based on ROC analysis, CUN-BAE exhibited a better capacity for diabetes prediction than both body mass index (BMI) and waist circumference (WC) in both sexes.
conclusionsThe baseline CUN-BAE level was independently related to the incidence of diabetes. Increased adiposity determined by CUN-BAE could be used as a strong nonlaboratory predictor of incident diabetes in clinical practice.
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