Adiposity Indexes as Phenotype-Specific Markers of Preclinical Metabolic Alterations and Cardiovascular Risk in Polycystic Ovary Syndrome: A Cross-Sectional Study.

Polycystic ovary syndrome (PCOS) is a common condition in women of reproductive age. 2 PCOS phenotypes (classic and ovulatory) are currently recognized as the most prevalent, with important differences in terms of cardiometabolic features. We studied the performance of different adiposity indexes to predict preclinical metabolic alterations and cardiovascular risk in 234 women with PCOS (173 with classic and 61 with ovulatory PCOS) and 129 controls. Performance of waist circumference, waist-to-height ratio, conicity index, lipid accumulation product, and visceral adiposity index was assessed based on HOMA-IR ≥ 3.8 as reference standard for screening preclinical metabolic alterations and cardiovascular risk factors in each group. Lipid accumulation product had the best accuracy for classic PCOS, and visceral adiposity index had the best accuracy for ovulatory PCOS. By applying the cutoff point of lipid accumulation product<34, we identified a subgroup of patients without cardiometabolic alterations (P<0.05) in the group with classic PCOS, a population at higher risk for hypertension, dyslipidemia, and impaired glucose tolerance. In ovulatory PCOS, visceral adiposity index ≥ 1.32 was capable of detecting women with significantly higher blood pressure and less favorable glycemic and lipid variables as compared to ovulatory PCOS with lower visceral adiposity index (P<0.05). These results suggest LAP ≥ 34 as the best marker for classic PCOS, and VAI ≥ 1.32 for ovulatory PCOS women. Both indexes can be easily calculated with measures obtained in routine clinical practice and may be useful to detect cardiometabolic risk and secure early interventions.

Dietary glycemic index is associated with less favorable anthropometric and metabolic profiles in polycystic ovary syndrome women with different phenotypes.

OBJECTIVE: To compare glycemic index (GI) in the usual diet of polycystic ovary syndrome (PCOS) and control women and to investigate whether dietary GI is associated with body composition and anthropometric and metabolic variables across PCOS phenotypes. DESIGN: Cross-sectional study. SETTING: University hospital outpatient clinic. PATIENT(S): Sixty-one women with PCOS and 44 nonhirsute women with ovulatory cycles. INTERVENTION(S): Metabolic work-up, biochemical and hormonal assays, assessment of body composition and rest metabolic rate, physical activity (pedometer), and food consumption (food frequency questionnaire). MAIN OUTCOME MEASURE(S): GI, glycemic load, dietary intake, and hormone and metabolic profile in PCOS versus control and in PCOS women stratified by tertiles of GI and PCOS phenotype. RESULT(S): Mean age was 23.7 ± 6.3 years. Participants with PCOS had higher body fat percentage, fasting insulin, insulin resistance, lipid accumulation product, and androgen levels compared with control women. PCOS and control women in the highest tertile of GI had higher body mass index and waist circumference than those in the lowest tertile. Dietary GI was higher in the classic PCOS group. Obesity and this more severe PCOS phenotype explained 28.3% of variance in dietary GI. CONCLUSION(S): Dietary GI is increased in the classic PCOS phenotype and associated with a less favorable anthropometric and metabolic profile. Obesity and classic PCOS phenotype are age-independent predictors of higher dietary GI.

Benefits of pedometer-measured habitual physical activity in healthy women.

This cross-sectional study aimed at (i) characterizing pedometer-determined physical activity and (ii) examining its associations with dietary intake and anthropometric and metabolic profile in healthy women. Anthropometric and metabolic profile was evaluated in 68 healthy women of reproductive age. Habitual physical activity was assessed using a pedometer for 6 consecutive days, including weekends. Participants were stratified into active and inactive according to the mean steps·day(-1) (≥6000 and <6000, respectively). Food consumption was evaluated by 24-h recall in a subsample of 35 participants. Thirty-eight women were defined as active and had significantly lower body mass index (BMI), fat percentage, waist circumference, sum of skinfold thickness, insulin, and HOMA than the sedentary group. Mean BMI was 27 kg·m(-2) (overweight) in active participants and 31 kg·m(-2) (class I obesity) in inactive participants. Active women consumed more carbohydrates (55.5% ± 9.4% vs. 46.3% ± 7.6%) and calories (2138 ± 679 vs. 1664 ± 558 kcal), and less protein (15.4% ± 4.2% vs. 19.9% ± 5.8%) and lipids (29.0% ± 7.2% vs. 33.8% ± 6.2%) than inactive individuals (p < 0.05). Fiber, cholesterol, and fatty acid intake was similar in both groups. The number of steps was lower on Sunday than on weekdays for the overall group. Using a pedometer for 3 days was sufficient to determine habitual physical activity (sensitivity: 94%; specificity 91% vs. 6 days of pedometer use). In the present study, nonstructured physical activity was associated with more adequate dietary consumption and contributed toward a healthier anthropometric and metabolic profile in young women, despite the high prevalence of overweight.