Publication: Measures of body adiposity and visceral adiposity index as predictors of metabolic syndrome among Thai women with PCOS
Issued Date
2016-04-02
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ISSN
14730766
09513590
09513590
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2-s2.0-84948175541
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Mahidol University
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SCOPUS
Bibliographic Citation
Gynecological Endocrinology. Vol.32, No.4 (2016), 276-280
Suggested Citation
Kitirat Techatraisak, Krissanee Wongmeerit, Chongdee Dangrat, Thanyarat Wongwananuruk, Suchada Indhavivadhana Measures of body adiposity and visceral adiposity index as predictors of metabolic syndrome among Thai women with PCOS. Gynecological Endocrinology. Vol.32, No.4 (2016), 276-280. doi:10.3109/09513590.2015.1112785 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/43061
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Title
Measures of body adiposity and visceral adiposity index as predictors of metabolic syndrome among Thai women with PCOS
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Abstract
© 2015 Taylor & Francis. Aim: To evaluate the relationship between measures of body adiposity and visceral adiposity index (VAI) and risk of metabolic syndrome (MS) and to identify the optimal cut-off points of each measurement in Thai polycystic ovary syndrome (PCOS).Methods: A cross-sectional study was completed physical examination, fasting plasma glucose, lipid profiles of 399 PCOS and 42 age-matched normal controls. Body mass index (BMI), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR) and VAI were calculated. Associations between different measures and MS were evaluated and the receiver-operating characteristic (ROC) curve was performed to determine appropriate cut-off points for identifying MS.Results: Percentage of MS in PCOS was 24.6%, whereas none MS in controls. Previously recommended cut-off values for body adiposity and VAI were significantly associated with MS. ROC curve analysis of the only PCOS showed newly obtained optimal cut-off points for BMI and VAI of ≥28 kg/m2 (AUC = 0.90) and >5.6 (AUC = 0.94), respectively. Values found to be more accurate than the original ones. VAI was the best predictor, followed by BMI and WHtR.Conclusion: All body adiposity and VAI parameters can predict the risk of MS. Optimal values for Thai PCOS were ≥28 kg/m2 for BMI, ≥0.85 for WHR, ≥0.5 for WHtR and >5.6 for VAI.