Waist-to-neck ratio and TG/HDL-C ratio as predictors of insulin resistance in non-diabetic adults with overweight/obesity: A cross-sectional study
Abstract
Background: Simple anthropometric ratios and lipid-based indices may help identify insulin resistance (IR) in routine practice, especially where clamp techniques are not feasible. We evaluated anthropometric ratios—including waist-to-neck ratio (WNR) and waist-to-height ratio (WHtR)—and the triglyceride-to-high-density lipoprotein cholesterol (TG/HDL-C) ratio as potential predictors of IR in non-diabetic adults with overweight/obesity. Methods: In this cross-sectional study, 49 non-diabetic adults (age 18–75 years) with body mass index (BMI) ≥ 25 kg/m² were enrolled. Anthropometric measurements (waist, neck, hip, height, and weight) and fasting biochemical parameters were obtained. IR was defined as HOMA-IR ≥ 2.5. Pearson correlations assessed relationships between HOMA-IR and candidate ratios/indices. Variables associated with IR were evaluated using multivariable logistic regression. Results: The mean age was 43.24 ± 11.20 years; 77.6% were female; the mean BMI was 33.80 ± 5.15 kg/m². IR was present in 25/49 participants (51.0%). WNR (r=0.293, p=0.041) and WHtR (r=0.341, p=0.016) correlated positively with HOMA-IR, whereas the neck-to-weight ratio correlated negatively (r=–0.358, p=0.012). The TG/HDL-C ratio correlated positively with HOMA-IR (r=0.344, p=0.015). In multivariable logistic regression, TG/HDL-C (odds ratio (OR) 1.432; 95% CI 1.050–1.953; p=0.023) and WNR (OR 15.469; 95% CI 1.446–165.541; p=0.024) remained independently associated with IR. Conclusions: In non-diabetic adults with overweight/obesity, the TG/HDL-C ratio and WNR were independently associated with IR, supporting their use as accessible screening tools. WHtR and additional exploratory ratios (e.g., neck-to-weight) showed significant correlations with HOMA-IR and may merit further validation in larger cohorts.
Keywords
References
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Details
Primary Language
English
Subjects
Endocrinology, Internal Diseases
Journal Section
Research Article
Publication Date
July 30, 2026
Submission Date
January 28, 2026
Acceptance Date
April 10, 2026
Published in Issue
Year 2026 Volume: 40 Number: 3