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The effectiveness of various obesity measurement methods to predict the risk of insulin resistance in non-diabetic young adults
SATRUl J.
Gazzetta Medica Italiana Archivio Per Le Scienze Mediche
Q4Abstract
BACKGROUND: Obesity is strongly associated with insulin resistance (IR). There were many methods of measurement of obesity, including Body Mass Index (BMI), waist circumference (WC), and body fat percentage (%BF). This study aimed to assess which measurement method can better predict the risk of IR in obese non-diabetic young adults.METHODS: One hundred subjects who fulfilled the inclusion criteria for this study were enrolled. IR was calculated by HOMA-IR formulation. The risk of IR based on BMI, WC, and %BF was determined using ROC curves. We analyzed groups based on gender.RESULTS: IR significantly correlated with BMI, WC, and %BF. In men, the area under curve (AUC) of BMI (0.925, sensitivity: 94.4%, specificity: 83.9%, cutoff: 27.6 kg/m2) was larger than WC (0.899, sensitivity: 88.9%, specificity: 83.9%, cutoff: 98.0 cm) and %BF (0.721, sensitivity: 94.4%, specificity: 45.2%, cutoff: 26.4%). In women, the AUC of WC (0.964, sensitivity: 92.9%, specificity: 85.7%, cutoff: of 87.5 cm) was greater than BMI (0.951, sensitivity: 92.9%, specificity: 80.0%, cutoff: 25.3 kg/m2) and %BF (0.841, sensitivity: 92.9%, specificity: 58.1%, cutoff: of 37.1%).CONCLUSIONS: There is a correlation between obesity and BMI, WC, and between %BF and IR. BMI predicted IR better than WC and %BF in men, and WC was better at predicting IR in women.