Cited by 38Ovarian function and disordersDiabetes, Cardiovascular Risks, and LipoproteinsBody Composition Measurement Techniques

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Body fat indices as effective predictors of insulin resistance in obese/non-obese polycystic ovary syndrome women in the Southwest of China

Huang, Xin, Wang, Qiuyi, Liu, Tingting, Pei, Tianjiao, Liu, Dong, Zhu, Huili, Huang, Wei·2019·Endocrine

DOI 10.1007/s12020-019-01912-1

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Abstract

Purpose Insulin 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. Methods A 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. Results In 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). Conclusions Body fat indices are predictive markers of IR in Chinese PCOS women, especially in those with normal weight.

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Authors: Huang, X., Wang, Q., Liu, T., Pei, T., Liu, D., Zhu, H., & Huang, W.
Affiliations: West China Second University Hospital of Sichuan University (CN)
Corresponding author: Huang, Wei
ORCID: Huang, Xin
Wang, Qiuyi
Liu, Tingting
Pei, Tianjiao
Liu, Dong
Zhu, Huili
Huang, Wei
Venue: Endocrine
Publisher: Springer Science and Business Media LLC
Published: 2019-03-28
Volume: 65
Issue: 1
Pages: 81-85
ISSN: 0969-711X (ISSN-L)
1355-008X
1559-0100
DOI: 10.1007/s12020-019-01912-1
OpenAlex: W2933685574
Cited by: 34
References: 26
Citations by year: 2026: 1 · 2025: 3 · 2024: 6 · 2023: 3 · 2022: 7 · 2021: 6 · 2020: 6 · 2019: 2
FWCI: 5.03
Type: journal article
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
Locations: Endocrine (publishedVersion)
PubMed (publishedVersion)
Topics: Health Sciences › Medicine › Reproductive Medicine › Ovarian function and disorders
Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
Health Sciences › Medicine › Physiology (medical) › Body Composition Measurement Techniques
Keywords: polycystic ovary syndrome, insulin resistance, visceral adiposity index, lipid accumulation product, waist-to-hip ratio, waist-to-height ratio, body mass index, HOMA-IR, predictive biomarkers, Chinese women, obesity
MeSH terms: Adipose Tissue, Adult, China, Cross-Sectional Studies, Female, Health Status Indicators, Humans, Insulin Resistance, Obesity, Polycystic Ovary Syndrome, Prognosis, Body Mass Index, Adiposity, Young Adult

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Body fat indices as effective predictors of insulin resistance in obese/non-obese polycystic ovary syndrome women in the Southwest of China

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