Abstract
Research question
Which anthropometric index (waist-to-height ratio, waist circumference, waist-to-hip
ratio and body mass index) is the best in predicting insulin resistance among Chinese
women with polycystic ovary syndrome?
Design
A total of 1124 patients with polycystic ovary syndrome at the Reproductive Endocrinology
Division of West China Second University Hospital of Sichuan University were enrolled
in this study. Identification of insulin resistance was based on homeostasis model
assessment of insulin resistance scores 2.77 or over. Receiver operator characteristic
analysis was carried out using the four anthropometric indices as the continuous variables
and insulin resistance as the categorical variable to obtain the areas under the curve.
Result
The area under the curve for the waist-to-height ratio (0.748 ± 0.019) was greater
than those for waist circumference (0.739 ± 0.019), body mass index (0.738 ± 0.017),
and waist-to-hip ratio (0.659 ± 0.020) in the prediction of insulin resistance. The
waist-to-height ratio also had the highest Youden indices compared with those of waist
circumference, body mass index, and waist-to-hip ratio; the waist-to-height ratio
cut-off was 0.49.
Conclusion
The waist-to-height ratio with a cut-off of 0.49 was the most accurate anthropometric
indicator for predicting insulin resistance among Chinese women with polycystic ovary
syndrome.
KEYWORDS
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Biography
Dr Wei Huang received her PhD in 1992 from West China Medical University, Chengdu Sichuan, China, and is currently full Professor of Obstetrics and Gynaecology at the university. Her research focus is mainly polycystic ovary syndrome, endometriosis, female infertility, female human decidual stem cells and miRNA.Article Info
Publication History
Published online: October 26, 2018
Accepted:
October 12,
2018
Received in revised form:
September 28,
2018
Received:
November 8,
2017
Declaration: The authors report no financial or commercial conflicts of interest.Identification
Copyright
© 2018 Reproductive Healthcare Ltd. Published by Elsevier Ltd. All rights reserved.
