Abstract
Prediabetes is closely related to excess body weight and adipose distribution. For this reason, we aimed to assess and compare the diagnostic usefulness of ten anthropometric adiposity indices to predict prediabetes. Cross-sectional study with 8188 overweight subjects free of type 2 diabetes from the ILERVAS project (NCT03228459). Prediabetes was diagnosed by levels of glycated hemoglobin (HbA1c). Total body adiposity indices [BMI, Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) and Deurenberg’s formula] and abdominal adiposity (waist and neck circumferences, conicity index, waist to height ratio, Bonora’s equation, A body shape index, and body roundness index) were calculated. The area under the receiver-operating characteristic (ROC) curve, the best cutoff and the prevalence of prediabetes around this value were calculated for every anthropometric index. All anthropometric indices other than the A body adiposity were higher in men and women with prediabetes compared with controls (p < 0.001 for all). In addition, a slightly positive correlation was found between indices and HbA1c in both sexes (r ≤ 0.182 and p ≤ 0.026 for all). None of the measures achieved acceptable levels of discrimination in ROC analysis (area under the ROC ≤ 0.63 for all). Assessing BMI, the prevalence of prediabetes among men increased from 20.4% to 36.2% around the cutoff of 28.2 kg/m2, with similar data among women (from 29.3 to 44.8% with a cutoff of 28.6 kg/m2). No lonely obesity index appears to be the perfect biomarker to use in clinical practice to detect individuals with prediabetes.
Highlights
The occurrence of prediabetes has expanded progressively in recent decades, reaching the 374 million people affected in 2017 according to the International Diabetes Federation [1]
Prediabetes is associated with an accumulation of metabolic abnormalities, an increased risk of microangiopathy and cardiovascular disease, dementia, cancer, and lung dysfunction that occur before fasting plasma glucose reaches the threshold diagnosis of type 2 diabetes mellitus [3,4,5,6]
In the middle-aged Caucasian ILERVAS cohort, participants with prediabetes showed a significant increase in estimated total body and abdominal fat
Summary
The occurrence of prediabetes has expanded progressively in recent decades, reaching the 374 million people affected in 2017 according to the International Diabetes Federation [1]. Prediabetes is associated with an accumulation of metabolic abnormalities, an increased risk of microangiopathy and cardiovascular disease, dementia, cancer, and lung dysfunction that occur before fasting plasma glucose reaches the threshold diagnosis of type 2 diabetes mellitus [3,4,5,6]. The China National Diabetes and Metabolic Disorder Study, which recruited 10,098 men and 17,545 women, observed how body mass index (BMI) and waist circumference (WC) were clearly associated with the prevalence of prediabetes [11]. To replace dual-energy x-ray absorptiometry (DXA) and magnetic resonance imaging, more than a few mathematical indices that combine anthropometric data have been proposed to assess total body fat and abdominal adiposity [18,19,20,21,22,23,24]. Data on the predictive capacity of prediabetes of some of these indices are scarce or absent
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
