Waist-to-Height Ratio as a Predictor for Insulin Resistance in Women with PCOS
Author Information
Author(s): Zhu Mengyi, Wang Kaiyue, Feng Jiaxing, Liu Yang, Guan Muxin, Wang Yu, Wu Xiaoke
Primary Institution: Heilongjiang University of Chinese Medicine
Hypothesis
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).
Conclusion
The waist-to-height ratio is a simple and reliable measure for predicting the risk of insulin resistance in women with polycystic ovary syndrome.
Supporting Evidence
- The prevalence rate of insulin resistance was found to be 51.9% among the participants.
- Women with insulin resistance had significantly higher waist-to-height ratios compared to those without.
- The waist-to-height ratio was positively correlated with insulin resistance as measured by HOMA-IR.
- An optimal cut-off point of 0.519 for the waist-to-height ratio was identified for predicting insulin resistance.
Takeaway
The waist-to-height ratio can help doctors figure out if women with a condition called PCOS are at risk for problems with insulin, which is important for their health.
Methodology
A cross-sectional analysis was conducted with 882 women with PCOS, measuring their waist-to-height ratio and evaluating insulin resistance using HOMA-IR.
Limitations
The study's cross-sectional design limits causal interpretations, and it relied on HOMA-IR instead of the gold standard hyperinsulinemic-euglycemic clamp for diagnosing insulin resistance.
Participant Demographics
Women with polycystic ovary syndrome, mean age approximately 28 years.
Statistical Information
P-Value
p<0.001
Confidence Interval
95% CI for ORs ranged from 2.27 to 4.37
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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