ArticleClinical and experimental reproductive medicine2025
Association of adiposity indices with insulin resistance among women with polycystic ovary syndrome.
Article in Clinical and experimental reproductive medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- The Limited Diagnostic Utility of Metabolic and Inflammatory Indices in Adolescent Polycystic Ovary Syndrome: A Case-Control Study.Biomedicines · 2026Article
- The Cut-Off for Triglyceride-Glucose-Body Mass Index (TyG-BMI) and Triglyceride-Glucose-Waist Circumference Index (TyG-WC) Discriminating the Insulin Resistance Based on the SHBG Level and HOMA-IR Value in Caucasian Women with Polycystic Ovary Syndrome.Medicina (Kaunas, Lithuania) · 2026Article
- A nomogram for predicting insulin resistance in polycystic ovary syndrome based on serum amino acid profiles and anti-Müllerian hormone.American journal of translational research · 2026Article
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Authors and funding
5 authors.
Funding
Abstract
objectiveWe compared various adiposity indices (AIs)-body mass index (BMI), waist circumference (WC), visceral adiposity index (VAI), lipid accumulation product, and the triglyceride-glucose (TyG), TyG-BMI, and TyG-WC indices-regarding their associations with insulin resistance (IR) among women with polycystic ovary syndrome (PCOS).
methodsThis cross-sectional investigation included 632 reproductive-aged women with PCOS, aligning with the 2018 International Evidence-based Guideline. Clinical characteristics, including height, weight, and WC, were recorded. Fasting blood samples were analyzed to measure insulin, lipid, and glucose levels. AIs were then calculated using these measurements along with various formulas. The homeostatic model assessment for IR was utilized, with a value of 2.6 or higher indicating IR. An area under the curve (AUC) above 0.8 was considered clinically useful.
resultsApproximately 69.1% of participants exhibited IR. All AIs were significant predictors of IR, regardless of androgen status. VAI and the TyG index were identified as poor markers of IR among women with PCOS (AUC, 0.6 to 0.69), while the remaining indices were considered fair markers (AUC, 0.7 to 0.79). VAI underperformed all other AIs except the TyG index, which was notably inferior to the TyG-BMI and TyG-WC indices. Nevertheless, the AUCs of TyG-BMI and TyG-WC were similar to those of BMI and WC.
conclusionAlthough AIs exhibit androgen-independent relationships with IR, their usefulness as indicators of IR in PCOS is not adequately supported by our results (AUC <0.8). Furthermore, combining the TyG index with BMI and WC does not significantly improve the diagnostic utility of IR.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.