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Órgano oficial de la Universidad Autónoma de Sinaloa

2022, Number 3

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Rev Med UAS 2022; 12 (3)

The waist circumference is the solely anthropometric variable that HOMA-IR predicts: a study of a cohort of young women

Maldonado-Cervantes MI, Castillo-Hernández JR, Martel-Gallegos MG, Maldonado-Cervantes E, Patiño-Marín N, García-Rangel M, Torres-Rodríguez L

Language: Spanish
References: 20
Page: 175-183
PDF size: 550.90 Kb.


ABSTRACT

Objective. To evaluate the capacity of anthropometric measures to predict IR in a cohort of young women without diabetes. Material and methods. Descriptive, correlational and quantitative cross-sectional study. 60 university women aged 17 to 20 years, without diabetes or systemic inflammation were studied, all participants signed an informed consent. Nine anthropometric measurements were obtained such as: body mass index (BMI), waist circumference (WC) and% body fat (% BC). Fasting plasma glucose and insulin concentrations were determined to calculate HOMA-IR. Results.The successive step linear regression model, retained only WC as a HOMA-IR predictor. Surprisingly, it did not retain BMI or % BF. The model had a greater predictive force among overweight and obese women than those with normal weight. Using ROC (receiver operating characteristic curve) we showed that, 81.5 cm of WC, had the highest sensitivity and specificity, 80.0% and 82.2% respectively. Conclusions. WC is a powerful and unique anthropometric measure to predict IR, especially in overweight and obesity groups. We propose that WC be included by primary care physicians as an IR scrutiny tool.


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