Prevalence of polycystic ovary syndrome ( PCOS ) among reproductive age women from Kashmir valley: A cross‐sectional study

2020 ◽  
Vol 149 (2) ◽  
pp. 231-236
Author(s):  
Mohd Ashraf Ganie ◽  
Aafia Rashid ◽  
Danendra Sahu ◽  
Sobia Nisar ◽  
Ishfaq A. Wani ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Cross Sectional Study ◽  
Reproductive Age ◽  
Sectional Study ◽  
Kashmir Valley ◽  
Ovary Syndrome ◽  
Cross Sectional ◽  
Reproductive Age Women

scholarly journals Environmental exposure to triclosan and polycystic ovary syndrome: a cross-sectional study in China

BMJ Open ◽  
2018 ◽  
Vol 8 (10) ◽  
pp. e019707 ◽  
Author(s):  
Jiangfeng Ye ◽  
Wenting Zhu ◽  
Han Liu ◽  
Yuchan Mao ◽  
Fan Jin ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Clinical Manifestations ◽  
Endocrine Disrupting Compounds ◽  
Cross Sectional Study ◽  
Reproductive Age ◽  
Sectional Study ◽  
Ovary Syndrome ◽  
Cross Sectional ◽  
Pcos Group

ObjectivesPolycystic ovary syndrome (PCOS) is the most common endocrinopathy of women at reproductive age. Although the aetiology of PCOS remains unclear, potential effects of environmental endocrine-disrupting compounds on the development of PCOS have drawn increasing attention. The aim of the current study was to examine the association between triclosan (TCS) and PCOS, and explore possible mechanisms on how TCS may contribute to the development of clinical manifestations of PCOS.DesignCross-sectional study.SettingThis study was conducted in one tertiary-level hospital located in Zhejiang, China.ParticipantsA total of 674 infertile women at 18–45 years of age were recruited in 2014–2015. Participants with (n=84) and without (n=212) PCOS with urinary TCS concentration available were included in the analyses.MethodsUrinary TCS concentration was measured using a high-performance liquid chromatography–electrospray ionisation tandem mass spectrometry. Logistic regression model was used to examine the association between TCS and PCOS. Fractional polynomial regression models were built to fit the potential non-linear relationship between TCS concentrations and luteinising hormone (LH) and LH/follicle stimulate hormone (FSH).ResultsThe PCOS group had significantly higher level of TCS concentration than the non-PCOS group (the median of TCS (IQR), μg/g creatinine: 1.49 (0.68–3.80) vs 1.06 (0.52–3.02), p=0.0407). Compared with the lowest tertile, the highest tertile of TCS concentration was associated with an increased odd of PCOS (OR 2.12, 95% CI 1.12 to 3.99). After adjusting for potential confounders, the significant association remained (OR 1.99, 95% CI 1.05 to 3.79). Positive relationships were found between TCS levels and LH and LH/FSH ratio in non-PCOS participants.ConclusionsTCS exposure at a relatively low level is associated with PCOS in Chinese women. Further epidemiological studies are needed to confirm our finding, which may have important public health implications.

scholarly journals Indexes of Insulin Resistance in Hyperinsulinemic Polycystic Ovary Syndrome in a Macedonian Cohort of Women of Reproductive Age: A Cross-Sectional Study

2016 ◽  
Vol 4 (4) ◽  
pp. 607-612
Author(s):  
Sasha Jovanovska-Mishevska ◽  
Aleksandra Atanasova-Boshku ◽  
Iskra Bitoska ◽  
Irfan Ahmeti ◽  
Biljana Todorova ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Cross Sectional Study ◽  
Reproductive Age ◽  
Control Group ◽  
Oral Glucose ◽  
Sectional Study ◽  
Ovary Syndrome ◽  
Cross Sectional

BACKGROUND: Polycystic ovary syndrome (PCOS) is complex hormonal, metabolic and reproductive disorder and is a leading cause of female infertility. Hyperinsulinemia secondary to insulin resistance plays important role in the pathogenesis of PCOS.AIM: To assess the sensitivity of different indices of insulin resistance and their relevance in a clinical setting.MATERIAL AND METHODS: A cross-sectional study of 43 patients with PCOS and 29 noromo ovulatory women as a control group was conducted. Standard clinical, anthropometrical and hormonal testing for hyperandrogenism was conducted, as well as oral glucose tolerance test with determination of basal and stimulated glucose and insulin values.RESULTS: The dynamic I/G index showed the highest sensitivity and specificity, but the static indexes HOMA-IR and QUICKI, although based on only basal glycemic and insulinemic values, showed good sensitivity, 90.38% and 94.01% respectively. HOMA-IR showed significant positive correlation with the stimulated insulin values.CONCLUSIONS: Our results support the use of static indexes in the evaluation of insulin resistance in women with PCOS in a clinical setting, offering a simple assessment of insulin resistance in PCOS, which holds great prognostic and treatment implications.

scholarly journals The effects of obesity and polycystic ovary syndrome on serum lipocalin-2 levels: a cross-sectional study

2010 ◽  
Vol 8 (1) ◽  
pp. 151 ◽  
Author(s):  
Dimitrios Panidis ◽  
Konstantinos Tziomalos ◽  
Ekaterini Koiou ◽  
Eleni A Kandaraki ◽  
Elena Tsourdi ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Cross Sectional Study ◽  
Lipocalin 2 ◽  
Sectional Study ◽  
Ovary Syndrome ◽  
Cross Sectional

scholarly journals Disordered Eating Behaviours and Eating Disorders in Women in Australia with and Without Polycystic Ovary Syndrome: A Cross-Sectional Study

2019 ◽  
Vol 8 (10) ◽  
pp. 1682 ◽  
Author(s):  
Stephanie Pirotta ◽  
Mary Barillaro ◽  
Leah Brennan ◽  
Angela Grassi ◽  
Yvonne Jeanes ◽  
...  
Keyword(s):  
Eating Disorders ◽  
Eating Disorder ◽  
Polycystic Ovary Syndrome ◽  
Disordered Eating ◽  
Polycystic Ovary ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Eating Behaviours ◽  
Ovary Syndrome ◽  
Cross Sectional

Psychological co-morbidities common in polycystic ovary syndrome (PCOS) may contribute to disordered eating and subsequent weight gain. This cross-sectional study aimed to determine the prevalence of disordered eating and a range of eating disorders and demographic risk factors associated with these behaviours within an Australian group of women with and without PCOS. Data from 899 women with (n = 501) and without (n = 398) PCOS were analysed as possibly indicative of disordered eating or eating disorders using the Eating Disorder Examination Questionnaire (EDE-Q) and The Diagnostic and Statistical Manual of Mental Disorders Fifth Edition (DSM-5) criteria. Disordered eating (p = 0.012) but not eating disorders (p = 0.076) were more prevalent in women with PCOS compared to controls. Increased body mass index (BMI) [Odds Ratio (OR): 1.03; 95%; Confidence Interval (CI): 1.01, 1.05, p = 0.012] and older age [OR: 1.05; 95%CI: 1.02, 1.08, p = 0.002] but not PCOS diagnosis [OR: 1.43; 95%CI: 0.96, 2.13 p = 0.078] increased the odds of disordered eating. Increased BMI [OR: 1.04; 95%CI: 1.02, 1.06, p < 0.001] and younger age [OR: -0.95; 95%CI: 0.93–0.95, p < 0.001] but not PCOS diagnosis [OR: 1.38; 95%CI: 0.97, 1.95, p = 0.076] increased the odds of an eating disorder. Clinicians are recommended to screen all women with PCOS for possible disordered eating behaviours, with particular attention to women with elevated BMI.

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