ArticleFrontiers in endocrinology2024
The waist-to-height ratio is a good predictor for insulin resistance in women with polycystic ovary syndrome.
Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association between waist-to-height ratio and insulin resistance in patients with polycystic ovary syndrome: a meta-analysis.Frontiers in endocrinology · 2025Pooled it
- Lipid Challenge Reveals Amplified Apolipoprotein Responses with Preserved Temporal Pattern in Polyendocrine Metabolic Ovarian Syndrome: An Exploratory Study.International journal of molecular sciences · 2026Trial
- The mediating effect of serum total testosterone in the association between the ZJU index and PCOS.Scientific reports · 2025Article
- A machine learning approach for non-invasive PCOS diagnosis from ultrasound and clinical features.Scientific reports · 2025Article
- Association between triglyceride-glucose related indices and all-cause and cardiovascular mortality among the population with cardiovascular-kidney-metabolic syndrome stage 0-3: a cohort study.Cardiovascular diabetology · 2025Article
- Elevated Waist-to-Height Ratio Increases the Risk of Cardiovascular and Cerebrovascular Disease Mortality in Elderly Type 2 Diabetes Mellitus Populations.Journal of multidisciplinary healthcare · 2025Article
- A sustainable public health framework for PCOS management in low- and middle-income countries: a narrative review.Frontiers in reproductive health · 2025Review
- Clinical utility of anthropometric parameters in identifying glucose dysregulation in women with polycystic ovary syndrome.Frontiers in endocrinology · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: This study aimed to explore the role of the waist-to-height ratio (WHtR) in assessing insulin resistance (IR) in patients with polycystic ovary syndrome (PCOS). Materials and methods: We enrolled 882 PCOS-afflicted women in a cross-sectional analysis to evaluate the association of the WHtR with IR. Their demographic characteristics, anthropometric parameters, and fasting blood samples were collected and measured. Moreover, IR was evaluated by homeostatic model assessment of insulin resistance (HOMA-IR). We estimated the relationship between the WHtR and IR and the cut-off thresholds of the WHtR for IR using multivariable linear regression and logistic regression models, respectively. Results: The prevalence rate of IR was 51.9%. The patients with PCOS and IR displayed significantly increased values for body mass index (BMI), waist circumference (WC), WHtR, systolic blood pressure (SBP), diastolic blood pressure (DBP), free androgen index (FAI), HOMA-IR, total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), and apolipoprotein B (ApoB). However, the patients with PCOS and IR showed a reduction in estradiol (E2), luteinizing hormone (LH), LH/FSH ratio, sex hormone binding globulin (SHBG), and high-density lipoprotein (HDL-C) values than those without IR. Moreover, BMI (log-transformed), WC, and HOMA-IR (log-transformed) were positively correlated with the WHtR. When adjusting for potential confounding variables, the WHtR was significantly associated with HOMA-IR (log-transformed), with a standardized regression coefficient of 0.271. Furthermore, the WHtR was significantly associated with an increased risk of IR, with the adjusted odds ratio (OR) of 3.15 (WHtR multiplied by 10). Additionally, the WHtR helped to identify IR in women with PCOS with an optimal cut-off point of 0.519 (Youden index = 0.433). Conclusions: The WHtR had a positive association with IR in women with PCOS. Hence, we suggest that the WHtR, as a simple, practical, and reliable anthropometric measure, can be used to predict the risk of IR in patients with PCOS.
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