DXA-Measured Fat Distribution and Metabolic Risk in Women with PCOS

Body Fat Distribution and Metabolic Risk in PCOS: DXA-Based Insights

Résumé

Background: Polycystic Ovary Syndrome(PCOS) is a multifactorial endocrine disorder commonly associated with insulin resistance(IR), central obesity, and adverse metabolic outcomes. Conventional measures like body mass index(BMI) inadequately capture the metabolic risk imposed by regional fat distribution.

Objective: To critically evaluate the current literature on the relationship between body fat distribution, insulin sensitivity, and metabolic parameters in women with PCOS, with an emphasis on studies employing Dual-Energy X-ray Absorptiometry(DXA) for body composition analysis.

Methods: A narrative review of studies assessing regional adiposity using DXA in PCOS populations was conducted.Relevant databases were searched for peer-reviewed articles focusing on correlations between DXA-derived fat distribution parameters and metabolic indices such as insulin sensitivity, lipid profiles, and glycemic control.

Review Results: Evidence suggests that visceral and android fat accumulation particularly high trunk fat percentage and android-to-gynoid fat ratio are consistently associated with IR and dyslipidemia, independent of total body fat or BMI.These DXA-derived measures correlate strongly with IR markers including fasting insulin, HOMA-IR, and QUICKI. Conversely, subcutaneous fat appears to have a lesser metabolic impact in PCOS.

Conclusion:
Regional fat distribution, rather than total adiposity, plays a pivotal role in modulating insulin sensitivity and metabolic risk in women with PCOS.DXA offers a superior, non-invasive modality for assessing these parameters and may enhance clinical risk stratification and guide targeted interventions.Future longitudinal and interventional studies are essential to establish causality and inform therapeutic strategies focused on regional fat modulation.