The waist-height ratio is a potential anthropometric index of insulin resistance: Observations based on oral glucose tolerance test in lean, normo-glycaemic, Asian Indian males from Southern India

Aims: To correlate the waist-to-height ratio (WHt-R) with Matsuda index of the Oral Glucose Tolerance Test (OGTT) and other surrogate indices of fasting insulin resistance/sensitivity and to derive a cut-off value for the WHt-R in lean, normoglycaemic males from Southern India. Methods: A cohort of...

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Bibliographic Details
Main Authors: Shajith Anoop, Felix Jebasingh K, Dona Maria Philip, Mathews Edatharayil Kurian, Venkataraghava Mohan, Geethanjali Finney, Nihal Thomas
Format: Article
Language:English
Published: Elsevier 2021-07-01
Series:Clinical Epidemiology and Global Health
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S221339842100066X
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Summary:Aims: To correlate the waist-to-height ratio (WHt-R) with Matsuda index of the Oral Glucose Tolerance Test (OGTT) and other surrogate indices of fasting insulin resistance/sensitivity and to derive a cut-off value for the WHt-R in lean, normoglycaemic males from Southern India. Methods: A cohort of 105 lean, normoglycaemic males (mean BMI: 19.2 ± 2.6 kg/m2) underwent OGTT. Surrogate indices of insulin resistance viz, the Homeostatic model assessment of Insulin Resistance (HOMA-IR), the Quantitative Insulin sensitivity Check Index (QUICKI), the Fasting glucose to insulin ratio (FG-IR), the McAuley's index and the Triglyceride/HDL-C ratio were correlated with the Matsuda and the Insulinogenic indices. The cut-off value for WHt-R to predict insulin resistance was obtained using Receiver operating characteristics (ROC) with Area under curve (AUC) at 95% confidence interval (CI). The P value < 0.05 was considered statistically significant. Results: The ROC analysis at 95% confidence interval (CI), showed an AUC of 0.58 for the WHt-R cut-off value ≥ 0.39 with 69.4% sensitivity and 57.1% specificity. On pooled ROC analysis, significantly higher AUC was observed for the WHt-R (0.90) when compared to BMI (0.83) and waist-to-hip ratio (0.83). Paired wise comparison analysis of ROC curves revealed significant differences for AUC of WHt-R when compared to waist circumference (p < 0.01), but not for BMI and WHR. Conclusion: The WHt-R can be used as a potential anthropometric index to screen for insulin resistance, when compared to BMI and WC in lean, normoglycaemic males from Southern India.
ISSN:2213-3984