Details

Autor(en) / Beteiligte

• Ranasinha, S.
• Joham, A.E.
• Norman, R.J.
• Shaw, J.E.
• Zoungas, S.
• Boyle, J.
• Moran, L.
• Teede, H.J.

Titel

The association between Polycystic Ovary Syndrome (PCOS) and metabolic syndrome: a statistical modelling approach

Ist Teil von

• Clinical endocrinology (Oxford), 2015-12, Vol.83 (6), p.879-887

Ort / Verlag

England: Blackwell Publishing Ltd

Erscheinungsjahr

2015

Quelle

Wiley-Blackwell Journals

Beschreibungen/Notizen

• Summary Objective Polycystic ovary syndrome (PCOS) affects 12–21% of women. Women with PCOS exhibit clustering of metabolic features. We applied rigorous statistical methods to further understand the interplay between PCOS and metabolic features including insulin resistance, obesity and androgen status. Design Retrospective cross‐sectional analysis. Patients Women with PCOS attending reproductive endocrine clinics in South Australia for the treatment of PCOS (n = 172). Women without PCOS (controls) in the same Australian region (n = 335) from the Australian Diabetes, Obesity and Lifestyle Study (AusDiab), a national population‐based study (age‐ and BMI‐matched within one standard deviation of the PCOS cohort). Measurements The factor structure for metabolic syndrome for women with PCOS and control groups was examined, specifically, the contribution of individual factors to metabolic syndrome and the association of hyperandrogenism with other metabolic factors. Results Women with PCOS demonstrated clustering of metabolic features that was not observed in the control group. Metabolic syndrome in the PCOS cohort was strongly represented by obesity (standardized factor loading = 0·95, P < 0·001) and insulin resistance factors (loading = 0·92, P < 0·001) and moderately by blood pressure (loading = 0·62, P < 0·001) and lipid factors (loading = 0·67, P = 0·002). On further analysis, the insulin resistance factor strongly correlated with the obesity (r = 0·70, P < 0·001) and lipid factors (r = 0·68, P < 0·001) and moderately with the blood pressure factor (loading = 0·43, P = 0·002). The hyperandrogenism factor was moderately correlated with the insulin resistance factor (r = 0·38, P < 0·003), but did not correlate with any other metabolic factors. Conclusions PCOS women are more likely to display metabolic clustering in comparison with age‐ and BMI‐matched control women. Obesity and insulin resistance, but not androgens, are independently and most strongly associated with metabolic syndrome in PCOS.