Archives of Endocrinology and Metabolism · 2019 · 37 citations · 34 references
MedicineEndocrinologyGynecologyMetabolic RegulationReproductive EndocrinologyWomen's HealthAdipose TissueBody CompositionEndocrine AssessmentMetabolic InflammationMetabolic SyndromePolycystic Ovary SyndromeAbdominal AdiposityBody Composition MeasurementBody Fat PercentageDual-energy X-ray Absorptiometry AssessmentIncreased AdiposityPolycystic Ovary Syndrome ComorbidityPolycystic Ovary Syndrome-associated Insulin ResistanceVisceral Fat Accumulation
OBJECTIVE: To investigate the associations among visceral adiposity index (VAI), lipid accumulation product (LAP), body fat percentage (%), and android/gynoid ratio (A/G ratio) in women with polycystic ovary syndrome (PCOS) and verify if the parameters representative of visceral obesity correlate with and exhibit the same frequency as body composition variables; anthropometric indices; and metabolic, hormonal, and inflammatory parameters. SUBJECTS AND METHODS: This was a cross-sectional study that included 94 women with PCOS. Hormonal, metabolic, and inflammatory parameters were analyzed in all women. Free androgen index (FAI) and homeostasis model assessment (HOMA-IR), as well as LAP, VAI, and anthropometric indices, were calculated. The regions of interest (ROIs) in body composition and body composition indices were evaluated using a dual X-ray absorptiometry (DXA). Overall, 32 variables were selected as markers of body fat distribution. RESULTS: Among the 32 markers evaluated, 29 correlated with LAP, whereas 25 correlated with VAI, 19 with body fat (%), and 30 with A/G ratio. Additionally, some markers correlated with the four adiposity indices evaluated: ROIs, except for total mass and leg fat (%); body composition (body mass index, waist circumference, and hip circumference) indices; fasting insulin; and C-reactive protein. CONCLUSION: LAP and VAI may be sensitive measures for screening and preventing metabolic syndrome and insulin resistance in PCOS, with LAP being more sensitive than VAI, and the A/G ratio may be more sensitive than body fat percentage.
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