Characteristics of body composition in different phenotypes of women with polycystic ovary syndrome

2015 ◽  
Author(s):  
Dusan Ilic ◽  
Djuro Macut ◽  
Ivana Bozic Antic ◽  
Jelica Bjekic Macut ◽  
Danijela Vojnovic Milutinovic ◽  
...  
Keyword(s):  
Body Composition ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Ovary Syndrome

scholarly journals Anthropometric and body composition analysis of infertile women with polycystic ovary syndrome

2017 ◽  
Vol 12 (2) ◽  
pp. 139-145 ◽  
Author(s):  
Havagiray R. Chitme ◽  
Eman A.K. Al Azawi ◽  
Anfal M. Al Abri ◽  
Buthina M. Al Busaidi ◽  
Zamzam K.A. Salam ◽  
...  
Keyword(s):  
Body Composition ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Composition Analysis ◽  
Ovary Syndrome ◽  
Body Composition Analysis ◽  
Infertile Women

scholarly journals SUN-010 Efficacy of High Intensity Intermittent Training for Improving Cardio-Metabolic Health in Women with Polycystic Ovary Syndrome: A Pilot Study

2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Rhiannon Kate Patten ◽  
Luke McIlvenna ◽  
Alba Moreno-Asso ◽  
Nigel Nigel Stepto ◽  
Danielle Hiam
Keyword(s):  
Body Composition ◽  
Insulin Sensitivity ◽  
Polycystic Ovary Syndrome ◽  
High Intensity ◽  
Polycystic Ovary ◽  
Metabolic Health ◽  
Moderate Intensity ◽  
Sensitivity Index ◽  
Maximal Heart Rate ◽  
Ovary Syndrome

Abstract Polycystic ovary syndrome (PCOS) is a common and complex endocrinopathy with reproductive and metabolic manifestations, carrying a major health and economic burden. Exercise training has consistently been found improve clinical outcomes in women with PCOS, but shortfalls with exercise prescription are evident. Research suggests that high intensity intermittent exercise (HIIT) is feasible, well tolerated and enjoyable for people with or at risk of chronic disease and can address many of the shortfalls and barriers to exercise participation. To investigate the effects of high intensity exercise, twenty-four reproductive aged, overweight and obese, previously sedentary women with PCOS were recruited from the community and randomised to complete either 12 weeks of moderate intensity continuous cycling exercise (MOD; 50-60% of maximal heart rate [HRmax]; n=11) or HIIT (90-95% HRmax; n=13). All exercise was supervised by an exercise physiologist and completed 3 times per week on a cycle ergometer. Baseline and post testing measures consisted of peak oxygen consumption (VO2peak) determine by a graded maximal exercise test, insulin sensitivity determined by hyperinsulinaemic-euglycaemic clamp, body composition outcomes and anti-mullerian hormone (AMH). Enjoyment was also measured throughout the intervention using feeling scales. Significant improvements were seen for VO2peak after HIIT with an average increase of 5.6 ± 2.5 mL.kg-1.min-1 (P=0.013) and non-significant increases in the MOD group (3.4 ± 2.1 mL/kg/min; P=0.20). Body composition, fasting insulin and AMH values remained unchanged in both groups. Non-significant improvements in glucose infusion rate (3.3 ± 2.8 mg.lbmkg-1.min-1; P=0.06) and insulin sensitivity index (M-to-I ratio; 3.0 ± 3.8 mg.lbmkg-1.min-1[mU/I]-1 x 100; P=0.17) were found as a result of HIIT compared to no changes after moderate intensity exercise. Importantly, HIIT was also found to be more enjoyable than moderate intensity continuous exercise. The present study is the first to compare current exercise recommendations of moderate and vigorous intensities in women with PCOS. The results of this study provide preliminary validation of HIIT and should be considered for improving cardio-metabolic health in women with PCOS.

scholarly journals The Use of SenseWear Armband for Assessment of Daily Energy Expenditure and the Relation to Body Fat Distribution and Nutritional Intake in Lean Women with Polycystic Ovary Syndrome

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Gulcan Arusoglu
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Energy Expenditure ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Nutritional Intake ◽  
Control Group ◽  
Ovary Syndrome ◽  
Sensewear Armband ◽  
Segmental Body Composition

Objective. To evaluate nutritional intake, energy expenditure, and segmental body composition in lean women with polycystic ovary syndrome (PCOS) and compare them with age- and body mass index- (BMI-) matched control women. Methods. 32 nonobese patients with PCOS and 31 age- and BMI-matched healthy women were included in the study. Energy expenditure and physical activity level were assessed by metabolic Holter equipment (SenseWear Armband, SWA) which was never previously used in lean PCOS population. Food intake is recorded with 24 hours of food record. Segmental body composition analysis was assessed by bioelectrical impedance analyses (BIA). Results. Mean BMI was 22.64 ± 3.64 and 21.55 ± 2.77 kg/m2 (p=0.185) in PCOS and control groups, respectively. Mean age was 22.03 ± 4.21 and 21.71 ± 2.67 year (p=0.720), respectively. No significant differences were found in total energy intake and percentage of carbohydrates, fats, and other micronutrients (p>0.05). Energy percentage of proteins (%12.73 ± 1.98, p=0.008) was statistically lower in subjects versus the control group. The measurements of physical activity duration (PAD) (1.40 ± 0.87/2.18 ± 0.99 hours, p=0.002), active energy expenditure (372.35 ± 198.32/494.10 ± 186.50 kcal, p=0.018), and step counting (9370.03 ± 3587.49/11730.90 ± 3564.31 steps, p=0.013) measurement of the PCOS group were lower than the control group, respectively. Conclusions. New diagnosed women with PCOS had similar distribution and quantity of body fat parameters and nutritional status when compared to healthy women. Control subjects were found more active in energy expenditure.

scholarly journals The Altered Mononuclear Cell-Derived Cytokine Response to Glucose Ingestion Is Not Regulated by Excess Adiposity in Polycystic Ovary Syndrome

2014 ◽  
Vol 99 (11) ◽  
pp. E2244-E2251 ◽  
Author(s):  
Frank González ◽  
Chang Ling Sia ◽  
Marguerite K. Shepard ◽  
Neal S. Rote ◽  
Judi Minium
Keyword(s):  
Body Composition ◽  
Adipose Tissue ◽  
Insulin Sensitivity ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Normal Weight ◽  
Cytokine Release ◽  
Ovary Syndrome ◽  
Excess Adiposity ◽  
Glucose Ingestion

Context: Excess adipose tissue is a source of inflammation. Polycystic ovary syndrome (PCOS) is a proinflammatory state and is often associated with excess abdominal adiposity (AA) alone and/or frank obesity. Objective: To determine the effect of glucose ingestion on cytokine release from mononuclear cells (MNC) in women with PCOS with and without excess AA and/or obesity. Design: A cross-sectional study. Setting: Academic medical center. Patients: Twenty-three women with PCOS (seven normal weight with normal AA, eight normal weight with excess AA, eight obese) and 24 ovulatory controls (eight normal weight with normal AA, eight normal weight with excess AA, eight obese). Intervention: Three-hour 75-g oral glucose tolerance test (OGTT). Main Outcome Measures: Body composition was measured by dual energy x-ray absorptiometry. Insulin sensitivity was derived from the OGTT (ISOGTT). TNFα, IL-6, and IL-1β release was measured in supernatants of cultured MNC isolated from blood samples drawn while fasting and 2 hours after glucose ingestion. Results: Insulin sensitivity was lower in obese subjects regardless of PCOS status and in normal-weight women with PCOS compared with normal-weight controls regardless of body composition status. In response to glucose ingestion, MNC-derived TNFα, IL-6, and IL-1β release decreased in both normal-weight control groups but failed to suppress in either normal-weight PCOS group and in obese women regardless of PCOS status. For the combined groups, the cytokine responses were negatively correlated with insulin sensitivity and positively correlated with abdominal fat and androgens. Conclusions: Women with PCOS fail to suppress MNC-derived cytokine release in response to glucose ingestion, and this response is independent of excess adiposity. Nevertheless, a similar response is also a feature of obesity per se. Circulating MNC and excess adipose tissue are separate and distinct sources of inflammation in this population.

scholarly journals Body composition, metabolic characteristics, and insulin resistance in obese and nonobese women with polycystic ovary syndrome

2019 ◽  
Vol 12 (2) ◽  
pp. 78
Author(s):  
ThomasV Paul ◽  
Anil Satyaraddi ◽  
KripaElizabeth Cherian ◽  
Nitin Kapoor ◽  
AleyammaThaiparambil Kunjummen ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Body Composition ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Ovary Syndrome ◽  
Metabolic Characteristics

scholarly journals Body Composition, Serum Concentrations of Androgens and Insulin Resistance in Different Polycystic Ovary Syndrome Phenotypes

2020 ◽  
Vol 9 (3) ◽  
pp. 732 ◽  
Author(s):  
Aleksandra Maria Polak ◽  
Agnieszka Adamska ◽  
Anna Krentowska ◽  
Agnieszka Łebkowska ◽  
Justyna Hryniewicka ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Body Composition ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Control Group ◽  
Model Assessment ◽  
Serum Concentrations ◽  
Metabolic Disturbances ◽  
Ovary Syndrome ◽  
G Ratio

Insulin resistance and hyperandrogenemia observed in polycystic ovary syndrome (PCOS) are associated with metabolic disturbances and could be connected with body composition pattern. To date, several studies defining the parameters of body composition using dual energy X-ray absorptiometry (DXA) method in the group of PCOS patients have been published, however, without the analysis in different phenotypes. The aim of the present study was to investigate the relationships between serum androgens concentration, insulin resistance and distribution of fat mass using DXA method in various PCOS phenotypes according to the Rotterdam criteria. We examined 146 women: 34 (38%) had PCOS phenotype A, 20 (23%) phenotype B, 20 (23%) phenotype C and 15 (16%) phenotype D (with mean age of each phenotype 25 years), and 57 control subjects (mean age of 25.5 years). Homeostasis model assessment of insulin resistance (HOMA-IR) was calculated. Serum concentrations of testosterone, androstenedione and dehydroepiandrosterone sulfate (DHEA-S) were assessed and free androgen index (FAI) was calculated. In phenotypes A, B and C, we observed higher FAI in comparison to the control group (all p < 0.01). Serum concentrations of androstenedione and DHEA-S were higher in phenotypes A and C in comparison to the control group (all p < 0.01). However, only in phenotype A we found higher visceral adipose tissue (VAT) mass and android/gynoid ratio (A/G ratio) in comparison to the control group (all p < 0.01). In phenotype A, we observed connection of VAT with FAI (r = 0.58, p < 0.01). Accordingly, A/G ratio was related with FAI in all phenotypes (all p < 0.05). Additionally, in phenotype C, A/G ratio was related to serum concentrations of DHEA-S and androstenedione (r = 0.46, p = 0.03; r = 0.53, p = 0.01, respectively). We also found connections of HOMA-IR with VAT and A/G ratio in all phenotypes (all p < 0.05). Women with phenotype A had higher amount of VAT and A/G ratio in comparison to the control group. Serum concentration of androgens and insulin resistance are connected with VAT and A/G ratio in normoandrogenic and hyperandrogenic PCOS phenotypes.

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