ArticleEndocrine2019
Body fat indices as effective predictors of insulin resistance in obese/non-obese polycystic ovary syndrome women in the Southwest of China.
Article in Endocrine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Lipid accumulation product and visceral adiposity index in polycystic ovary syndrome: a systematic review and meta-analysis of observational studies.Lipids in health and disease · 2025Pooled it
- Association of adiposity indices with insulin resistance among women with polycystic ovary syndrome.Clinical and experimental reproductive medicine · 2025Article
- Clinical utility of anthropometric parameters in identifying glucose dysregulation in women with polycystic ovary syndrome.Frontiers in endocrinology · 2025Article
- Characteristics of Different Obesity Metabolic Indexes and their Correlation with Insulin Resistance in Patients with Polycystic Ovary Syndrome.Reproductive sciences (Thousand Oaks, Calif.) · 2024Article
- Association of body composition indicators with colorectal cancer: a hospital-based case-control study.Journal of cancer research and clinical oncology · 2024Article
- The waist-to-height ratio is a good predictor for insulin resistance in women with polycystic ovary syndrome.Frontiers in endocrinology · 2024Article
- Association Between Weight-Adjusted Waist Index and Periodontitis: A Cross-Sectional Study and Mediation Analysis.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024Article
- Biomarkers in Polycystic Ovary Syndrome.Current opinion in physiology · 2023Article
- Dual-energy X-ray absorptiometry and adiposity index are sensitive methods to evaluate central fat accumulation in women with polycystic ovary syndrome and normal body mass index.Archives of endocrinology and metabolism · 2023Article
- The Visceral Adiposity Index (VAI) and Lipid Accumulation Product (LAP) Are Predictors of Insulin Resistance and Hyperandrogenaemia in Obesity/Overweight Women with Polycystic Ovary Syndrome.BioMed research international · 2023Article
- Markers of insulin resistance in Polycystic ovary syndrome women: An update.World journal of diabetes · 2022Review
- Anti-Müllerian hormone was independently associated with central obesity but not with general obesity in women with PCOS.Endocrine connections · 2022Article
- Body mass index and quality of life in individuals with polycystic ovary syndrome: Dysmorphic concerns and eating disorders as mediators.Frontiers in public health · 2022Article
- Construction of a Personalized Insulin Resistance Risk Assessment Tool in Xinjiang Kazakhs Based on Lipid- and Obesity-Related Indices.Risk management and healthcare policy · 2022Article
- Body Fat Indices as Effective Predictors of Insulin Resistance in Obstructive Sleep Apnea: Evidence from a Cross-Sectional and Longitudinal Study : BFI as Predictors of IR in OSA.Obesity surgery · 2021Article
- Lipid indices as simple and clinically useful surrogate markers for insulin resistance in the U.S. population.Scientific reports · 2021Article
- Elevated Anti-Müllerian Hormone Is an Independent Risk Factor for Preterm Birth Among Patients With Overweight Polycystic Ovary Syndrome.Frontiers in endocrinology · 2021Article
- Article
- Increased serum fetuin-B concentration is associated with HOMA-β and indices of liver steatosis in women with polycystic ovary syndrome: a pilot study.Endocrine connections · 2019Article
- Lipid Accumulation Product Better Predicts Metabolic Status in Lean Polycystic Ovary Syndrome than that by Visceral Adiposity Index.Journal of human reproductive sciencesArticle
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeInsulin resistance (IR) is a common feature of polycystic ovary syndrome (PCOS). Body fat indices can be predictive markers of IR. This study is aimed to predict IR in Chinese women with PCOS of different body types based on body fat indices.
methodsA total of 723 women diagnosed with PCOS according to Rotterdam criteria were recruited in this study and were further divided into two groups based on their BMI. All participants underwent physical examinations and ultrasound; and blood was collected from them on the days 3-5 of the menstrual cycle. Their BMI, waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), lipid accumulation product (LAP) index, visceral adiposity index (VAI), and the homeostasis model assessment index of insulin resistance (HOMA-IR) were calculated. The correlations between body fat indices and HOMA-IR and receiver operating characteristic (ROC) curves were evaluated.
resultsIn normal weight group (BMI < 24, n = 333), VAI (best cut-off value: 1.681, area under curve (AUC) = 0.754, P < 0.01) and LAP index (best cut-off value: 18.53, AUC = 0.734, P < 0.001) were the reliable indicators of IR based on HOMA-IR ≥ 2.77, while in overweight/obese group (BMI ≥ 24, n = 390), the BMI, WC, WHtR and LAP index had a significant correlation with HOMA-IR. The representative markers to assess IR were BMI (best cut-off value: 26.43, AUC = 0.644, P = 0.001) and WHtR (best cut-off value: 0.544, AUC = 0.604, P = 0.021).
conclusionsBody fat indices are predictive markers of IR in Chinese PCOS women, especially in those with normal weight.
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