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The central issue? Visceral fat mass is a good marker of insulin resistance and metabolic disturbance in women with polycystic ovary syndrome

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Objective

To establish whether visceral fat mass is the most significant variable correlating with insulin resistance and other metabolic parameters in women with polycystic ovary syndrome (PCOS). Design

Prospective cross-sectional trial. Setting

Reproductive medicine clinic. Population

Forty women with anovulatory PCOS. Methods

Measurements were taken at recruitment, and analysis was performed to define correlations between the outcome measures and the explanatory variables. Main outcome measures

Visceral and subcutaneous fat by computed tomography scan, insulin resistance, anthropometric measures, markers of the metabolic syndrome and androgens. Results

Strong linear correlation of visceral fat to insulin resistance (r= 0.68, P < 0.001) was observed. There were also statistically significant correlations with fasting insulin (r= 0.73, P < 0.001), homeostasis model assessment -cell function (r= 0.50, P= 0.007), triglycerides (r= 0.45, P= 0.003), high-density lipoprotein cholesterol (r=−0.42, P= 0.007), urate (r= 0.47, P= 0.002), Sex hormone binding globulin (r=−0.39, P= 0.01) and luteinising hormone (r=−0.32, P= 0.02). There were no significant correlations of testosterone with fat distribution or metabolic parameters. Insulin resistance showed closest correlation to visceral fat mass (r= 0.68, P < 0.001), then to waist circumference (r= 0.62, P < 0.001), with the weakest correlation being waist:hip ratio (r= 0.36, P= 0.01). The best regression model for predicting insulin resistance is with visceral fat mass and triglycerides as the explanatory variables (r= 0.72, P < 0.001). Conclusions

Visceral fat is the most significant variable correlating with metabolic dysfunction in women with PCOS. Our data support the hypothesis that visceral fat either causes insulin resistance or is a very early effect of it. It also implies that reducing visceral fat should reduce insulin resistance which may account for the observations that exercise and weight loss appear to be more effective interventions than pharmacological treatments. The best anthropometric measure of insulin resistance is waist circumference.
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Keywords: Fat distribution; insulin resistance; metabolic syndrome; polycystic ovary syndrome; visceral fat

Document Type: Research Article

Affiliations: 1: Department of Radiology, Royal Devon and Exeter Hospital, Exeter, UK 2: Department of Radiology, Derriford Hospital, Plymouth, Devon, UK 3: South West Centre for Reproductive Medicine, Derriford Hospital (level 6), Plymouth, Devon, UK 4: Department of Metabolism and Endocrinology, Peninsula Medical School, Derriford Hospital (level 7), Plymouth, Devon, UK

Publication date: 2006-10-01

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