scholarly journals Changes in clinical and biochemical characteristics of polycystic ovary syndrome with advancing age

2020 ◽  
Vol 9 (2) ◽  
pp. 74-89 ◽  
Author(s):  
Sebastião Freitas de Medeiros ◽  
Márcia Marly Winck Yamamoto ◽  
Matheus Antônio Souto de Medeiros ◽  
Bruna Barcelo Barbosa ◽  
José Maria Soares ◽  
...  
Keyword(s):  
Polycystic Ovary Syndrome ◽  
Total Cholesterol ◽  
Polycystic Ovary ◽  
Cross Sectional Study ◽  
Reproductive Period ◽  
University Hospital ◽  
Ovary Syndrome ◽  
Cross Sectional ◽  
Biochemical Characteristics ◽  
Age Stratification

Objective To verify whether aging can modify the clinical and biochemical characteristics of women with polycystic ovary syndrome (PCOS). Material and methods This observational cross-sectional study was conducted at the reproductive endocrinology clinics of Julio Muller University Hospital and Tropical Institute of Reproductive Medicine in Cuiabá, MT, Brazil, between 2003 and 2017. Both, 796 PCOS and 444 non-PCOS normal cycling women underwent the same examination. PCOS was diagnosed using the Rotterdam criteria as recommended for adolescent and adult subjects. Anthropometric, metabolic, and endocrinological modifications with aging were initially examined in the two groups: control and PCOS. Further analyses were performed after a 5-year age stratification of data throughout the reproductive period. All participants signed a consent form approved by the local ethical committee. Results Biomarkers of adiposity were more remarkable in African descendant PCOS women. Body weight, waist/hip ratio, fat mass, and BMI were higher in PCOS women and tended to increase at all 5 age-strata, between ≤19 and 35 years of age. Serum androgen levels decreased with aging, markedly in PCOS subjects (P < 0.01 for all age-strata comparisons), but remained elevated when compared with the levels found in controls. Carbohydrate markers, triglycerides, and total cholesterol tended to increase over time in PCOS (P < 0.01 for all age-strata comparisons). Total cholesterol also tended to increase with age in non-PCOS women (P = 0.041). Conclusion The present study has shown that the advancing age influences many features of PCOS women. Biochemical hyperandrogenism, the core criterion recommended in the current systems to define the syndrome, showed statistically significant tendencies to decrease with aging progression but did not normalize. The use of age-adjusted features for the diagnosis of PCOS are recommended.

scholarly journals Prevalence of Self-reported Polycystic Ovary Syndrome and Profiles of Health Among Women of Different Generations: A Cross Sectional Study

2019 ◽  
Vol 01 (03) ◽  
pp. 141-147
Author(s):  
Jodie C. Avery ◽  
Lisa J. Moran ◽  
Vivienne Moore ◽  
Renae C. Fernandez ◽  
Melissa Whitrow ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Polycystic Ovary Syndrome ◽  
Polycystic Ovary ◽  
Age Groups ◽  
South Australia ◽  
Cross Sectional Study ◽  
Age Group ◽  
Ovary Syndrome ◽  
Cross Sectional ◽  
Younger Women

Objective: Although polycystic ovary syndrome (PCOS) is considered a lifelong disorder, very little is understood about the diagnosis and impact of this condition in women outside of the peak reproductive years. We examined the frequency of diagnosed PCOS and concurrent health conditions in women across the lifespan. Methods: Data were analysed from 1509 women aged 15–95 years participating in a cross-sectional, face-to-face population survey in South Australia, 2015. We assessed the prevalence of PCOS in 10-year age groups and the frequency of comorbidities in women with and without PCOS subgrouped by age (< 45, [Formula: see text] 45 years). The main outcome measures were Diagnosed PCOS and other chronic conditions; lifestyle factors. Logistic regression analyses determined the risk of comorbidities in women with PCOS adjusting for age and BMI. Results: Overall prevalence of PCOS was 5.6% (95% confidence interval (CI) 4.6–6.9%), peaking in the 35–44 year age group (9.1%), and lowest in those aged 15–24 (4.1%) or [Formula: see text] 65 (3.7%) years. Women with PCOS and aged <45 years were more likely to report diabetes (16.7% vs. 3.8%), cardiovascular disease (15.5% vs. 7.2%) and arthritis (15.5% vs. 7.2%) than their peers; these differences were diminished in the [Formula: see text] 45 year age group. The odds of diabetes and cardiovascular disease were more than doubled among women with PCOS (adjOR 2.23, 95% CI 1.49–4.31; adjOR 3.18, 95% CI 1.31–7.68). Conclusion: PCOS is underdiagnosed in young and post-menopausal women. Diabetes and cardiovascular disease are key comorbidities requiring greater attention in younger women with PCOS.

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 Maternal and neonatal outcomes among pregnant women with different polycystic ovary syndrome phenotypes: A cross-sectional study

2020 ◽  
Author(s):  
Akramsadat Dehghani Firoozabadi ◽  
Razieh Dehghani Firouzabadi ◽  
Maryam Eftekhar ◽  
Afsar Sadat Tabatabaei Bafghi ◽  
Farimah Shamsi
Keyword(s):  
Gestational Diabetes ◽  
Polycystic Ovary Syndrome ◽  
Pregnant Women ◽  
Polycystic Ovary ◽  
Cross Sectional Study ◽  
Neonatal Outcomes ◽  
Pregnancy Induced Hypertension ◽  
Ovary Syndrome ◽  
Cross Sectional ◽  
Induced Hypertension

Background: Pregnancy is a process associated with various metabolic and hormonal changes, and polycystic ovary syndrome (PCOS) can affect this process. Objective: This study aimed to evaluate and compare the maternal and neonatal outcomes among pregnant women with different polycystic ovary syndrome phenotypes. Materials and Methods: In this cross-sectional study, 200 pregnant women with PCOS according to the 2003 ESHRE/ASRM criteria were categorized into four phenotype groups (A-D). The maternal outcomes include gestational diabetes mellitus, pregnancy-induced hypertension, premature rupture of membranes, preterm labor, small-for-gestational age birth, intrauterine growth restriction, intrauterine mortality, preeclampsia, abortion, amniotic fluid disorders, delivery method, and cause of cesarean section were studied between groups. Additionally, neonatal outcomes such as neonatal weight, neonatal recovery, 5-min Apgar score, neonatal icter, the need for NICU admission, the cause of hospitalization, and infant mortality rate were investigated and compared among the groups. Results: According to the results, phenotype D (37%) was the most common phenotype among the participants. The risk of gestational diabetes was more common in phenotype A than in the other phenotypes, whereas pregnancy-induced hypertension was most common in phenotype B. No significant differences were observed in the neonatal complications among the PCOS phenotypes. Conclusion: Considering the higher risk of gestational diabetes mellitus and pregnancy-induced hypertension in PCOS phenotypes A and B, women with these phenotypes need more precise prenatal care. Key words: Pregnancy outcome, Polycystic ovary syndrome, Phenotype, Pregnancy.

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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