OBJECTIVE: Polycystic ovarian syndrome and obesity contribute to the metabolic complications for women of reproductive age. The aim of present study was to analyze the effect of abdominal obesity expressed using waist/hip ratio (WHR) in patients with polycystic ovary syndrome on metabolic parameters. PATIENTS AND METHODS: The study included 659 women with PCOS with WHR <0.8 and ≥0.8 aged between 17 and 44 years. Patients were tested for follicular stimulating hormone, luteinizing hormone, 17-beta-estradiol, dehydroepiandrosterone sulfate, androstenedione, sex hormone binding globulin, and total lipid profile during the follicular phase (within 3 and 5 days of their menstrual cycle). Also, fasting glucose and insulin concentrations, and after, oral-glucose glucose administration, were determinate. De Ritis and Castelli index I and II were calculated. RESULTS: Women with WHR ≥0.8 had higher concentration of glucose and insulin (both fasting and after 120 min of oral administration of 75 g glucose), as well as HOMA-IR value, than women with WHR value < 0.8. Also, abdominal obesity disorders hormonal parameters. Higher free androgen index and lower concentration of sex hormone binding globulin and dehydroepiandrosterone sulfate were found in female with WHR ≥ 0.8. Follicular stimulating hormone, luteinizing hormone, androstenedione, and 17-beta-estradiol, were on similar level in both groups. Elevation in triglycerides, total cholesterol, and low-density lipoprotein levels, as well as decrease in high density lipoprotein level in serum of women with WHR value ≥ 0.8, were found when compared to women with WHR < 0.8. A statistically significant correlation was found between WHR value and glucose, insulin, sex hormone binding globulin, free androgen index and lipid profile parameters. CONCLUSIONS: Abdominal obesity causes additional disorders in metabolic and hormonal parameters in PCOS women, which confirmed changes in analyzed parameters between PCOS women with WHR < 0.8 and WHR ≥ 0.8 and statistically significant correlations between WHR value and analyzed parameters.
OBJECTIVE:Polycystic ovarian syndrome and obesity contribute to the metabolic complications for women of reproductive age. The aim of present study was to analyze the effect of abdominal obesity expressed using waist/hip ratio (WHR) in patients with polycystic ovary syndrome on metabolic parameters. PATIENTS AND METHODS: The study included 659 women with PCOS with WHR <0.8 and ≥0.8 aged between 17 and 44 years. Patients were tested for follicular stimulating hormone, luteinizing hormone, 17-beta-estradiol, dehydroepiandrosterone sulfate, androstenedione, sex hormone binding globulin, and total lipid profile during the follicular phase (within 3 and 5 days of their menstrual cycle). Also, fasting glucose and insulin concentrations, and after, oral-glucoseglucose administration, were determinate. De Ritis and Castelli index I and II were calculated. RESULTS:Women with WHR ≥0.8 had higher concentration of glucose and insulin (both fasting and after 120 min of oral administration of 75 g glucose), as well as HOMA-IR value, than women with WHR value < 0.8. Also, abdominal obesity disorders hormonal parameters. Higher free androgen index and lower concentration of sex hormone binding globulin and dehydroepiandrosterone sulfate were found in female with WHR ≥ 0.8. Follicular stimulating hormone, luteinizing hormone, androstenedione, and 17-beta-estradiol, were on similar level in both groups. Elevation in triglycerides, total cholesterol, and low-density lipoprotein levels, as well as decrease in high density lipoprotein level in serum of women with WHR value ≥ 0.8, were found when compared to women with WHR < 0.8. A statistically significant correlation was found between WHR value and glucose, insulin, sex hormone binding globulin, free androgen index and lipid profile parameters. CONCLUSIONS:Abdominal obesity causes additional disorders in metabolic and hormonal parameters in PCOS women, which confirmed changes in analyzed parameters between PCOS women with WHR < 0.8 and WHR ≥ 0.8 and statistically significant correlations between WHR value and analyzed parameters.
Authors: María L Sánchez-Ferrer; Ernesto De La Cruz-Sánchez; Julián J Arense-Gonzalo; María T Prieto-Sánchez; Itziar Bernabeu-González; Ana Carmona-Barnosi; Jaime Mendiola; Alberto M Torres-Cantero Journal: Int J Environ Res Public Health Date: 2021-03-14 Impact factor: 3.390
Authors: Anna Bizoń; Sylwia Płaczkowska; Justyna Niepsuj; Marta Czwojdzińska; Marcin Leśniewski; Artur Nowak; Dagmara Pluta; Paweł Madej; Agnieszka Piwowar; Grzegorz Franik Journal: Nutrients Date: 2021-11-24 Impact factor: 5.717