Second Clinical Medical College, Southern Medical University, Guangzhou, China.
First Clinical Medical College, Southern Medical University, Guangzhou, China.
Lipids Health Dis. 2023 Feb 6;22(1):21. doi: 10.1186/s12944-023-01784-5.
The 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).
This 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.
Over 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.
The 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.
Clínica Universidad de Navarra-体脂含量估算指数（CUN-BAE）已被推荐为衡量体脂的理想指标，与心血管代谢危险因素有显著相关性。然而，CUN-BAE 指数与亚洲人群的糖尿病发病风险是否相关尚不清楚。因此，本项纵向研究旨在评估基线 CUN-BAE 指数与 2 型糖尿病（T2DM）之间的关系。
本项回顾性纵向研究纳入了 2004 年至 2015 年期间 NAGALA（岐阜地区非酒精性脂肪肝纵向分析）研究中的 15464 名年龄在 18-79 岁的参与者。采用 Cox 比例风险回归检验基线 CUN-BAE 指数与糖尿病发病风险的关系。进一步进行分层分析以确保结果稳健。通过受试者工作特征（ROC）曲线检验 CUN-BAE 指数的诊断效能。
在平均 5.4 年的随访期间，373 名（2.41%）参与者发生了糖尿病。随着 CUN-BAE 四分位值的升高，糖尿病发病率呈上升趋势（趋势 P<0.001）。在校正性别混杂因素后，CUN-BAE 指数每增加 1 单位，男性和女性患糖尿病的风险分别增加 1.08 倍和 1.14 倍（均 P<0.001）。分层分析显示，基线 CUN-BAE 与糖尿病发病率之间存在一致的正相关关系。此外，基于 ROC 分析，CUN-BAE 在两性中均显示出比体重指数（BMI）和腰围（WC）更好的糖尿病预测能力。
基线 CUN-BAE 水平与糖尿病的发病独立相关。CUN-BAE 确定的肥胖程度可作为临床实践中预测糖尿病发病的有力非实验室指标。
