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Endocrine. 2019 Jul;65(1):81-85. doi: 10.1007/s12020-019-01912-1. Epub 2019 Mar 28.

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

Huang X1,2, Wang Q1,2, Liu T1,2, Pei T1,2, Liu D1,2, Zhu H1,2, Huang W3,4.

Author information

1
Department of Obstetrics and Gynecology, West China Second University Hospital of Sichuan University, Chengdu, 610041, Sichuan, China.
2
Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, Chengdu, 610041, Sichuan, China.
3
Department of Obstetrics and Gynecology, West China Second University Hospital of Sichuan University, Chengdu, 610041, Sichuan, China. weihuang64@163.com.
4
Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, Chengdu, 610041, Sichuan, China. weihuang64@163.com.

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.

KEYWORDS:

Body fat indexes; Body mass indexes; Insulin resistance; Polycystic ovary syndrome

PMID:
30924083
DOI:
10.1007/s12020-019-01912-1

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