scholarly journals Referral Bias in Defining the Phenotype and Prevalence of Obesity in Polycystic Ovary Syndrome

2013 ◽  
Vol 98 (6) ◽  
pp. E1088-E1096 ◽  
Author(s):  
Uche Ezeh ◽  
Bulent O. Yildiz ◽  
Ricardo Azziz
2015 ◽  
Vol 173 (5) ◽  
pp. 603-610 ◽  
Author(s):  
Manuel Luque-Ramírez ◽  
Macarena Alpañés ◽  
Raul Sanchón ◽  
Elena Fernández-Durán ◽  
Andrés E Ortiz-Flores ◽  
...  

ObjectiveWomen with polycystic ovary syndrome (PCOS) seeking health care in the United States may be more obese and hyperandrogenic than those present in the general population. We aimed to assess the impact of referral bias on European women with functional androgen excess disorders.DesignCross-sectional study.MethodsWe studied two groups of patients: i) 368 consecutive patients referred to our clinic for the study of functional hyperandrogenism (FH) (referral patients); ii) 57 consecutive premenopausal patients identified by screening during blood donation (unselected patients). We compared the anthropometric data from the groups of patients with those of two control populations: iii) a group of unselected premenopausal healthy female blood donors (unselected controls); and iv) data available from the local general premenopausal female population.ResultsReferral patients with FH were more hirsute, had a higher percentage of hyperandrogenemia, and fulfilled PCOS criteria more frequently than unselected patients. The prevalence of obesity in unselected controls was similar to that observed in the general population, whereas referral patients and unselected patients were more frequently obese. The prevalence of obesity was also higher among referral patients compared to unselected patients.ConclusionReferral bias influences the phenotype of patients with FH. Patients studied at the clinical setting may show more severe hyperandrogenic and obese phenotypes than patients from the general population, even though PCOS appears to be associated with weight excess also in the general European population. This fact should be considered when establishing reference values and control populations for clinical and research purposes.


2011 ◽  
Vol 2011 ◽  
pp. 1-6 ◽  
Author(s):  
Hassan Kahal ◽  
Stephen L. Atkin ◽  
Thozhukat Sathyapalan

Polycystic ovary syndrome (PCOS) is a common disorder affecting women of reproductive age and it is associated with increased cardiovascular risk. Obesity plays an important role in the pathogenesis of PCOS, and the majority of patients with PCOS are obese. Over the last 20 years, the prevalence of obesity has dramatically increased, with probable associated increase in PCOS. Weight reduction plays an integral part in the management of women with PCOS. In this paper, current available weight reduction therapies in the management of PCOS are discussed.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A354-A354
Author(s):  
Lynn Guo ◽  
Nancy P Gordon ◽  
Malini Chandra ◽  
Olumayowa M Dayo ◽  
Joan Chia-Mei Lo

Abstract Background: Previous studies demonstrate that aggregation of Asian ethnic subgroups masks variation in the prevalence of diabetes (DM) across these groups. Population data also suggest that Asian ethnic differences exist in the prevalence of diagnosed polycystic ovary syndrome (PCOS), but few studies have compared the risk of PCOS and DM in the same Asian subgroups, accounting for differences in BMI. We previously found that the prevalence of PCOS based on ≥1 diagnosis ranged from 1.6–1.9% in White, Hispanic, and Black women and 1.2%, 1.7%, and 3.5% for Chinese, Filipina, and South Asian women age 21–44 years. In this study, we further examined and compared the risk of clinical PCOS and clinical DM by weight status in these Asian subgroups. METHODS: Using data from women receiving care in a large integrated healthcare system, we conducted a cross-sectional, retrospective study of 19,848 Chinese, 23,890 Filipina, and 19,905 South Asian women aged 21–44 years who had ≥1 clinic visit in 2016. Ethnicity was based on data from the electronic health record (EHR), and those identified in the EHR as Asian with unspecified ethnicity were assigned as Chinese, Filipina, and South Asian based on algorithms that included primary language and surname. BMI was calculated from non-gestational height and weight and classified as healthy, overweight (23 to <27.5), or obese (≥27.5 kg/m2) using Asian BMI thresholds. Clinical PCOS was defined by ≥2 ambulatory PCOS diagnoses (ICD-9 256.4, ICD-10 E28.2) in 2015–2016 and clinical DM by ≥2 ambulatory DM diagnoses (ICD-9 250, ICD-10 E10-11,13) in 2015–2016 and history of DM pharmacotherapy. Multivariable logistic regression was used to produce adjusted odds ratios (aOR) for PCOS and DM comparing Filipina and South Asian to Chinese women after adjusting for age and weight status. Results: Among Chinese, Filipina, and South Asian women, respectively, prevalence of PCOS was 1.0%, 1.5%, and 3.2%, prevalence of DM was 1.2%, 4.2%, and 2.5%, and prevalence of obesity was 15.6%, 38.5%, and 30.1%. The prevalence of obesity was high in women with PCOS (58.9%) and women with diabetes (70.0%). South Asian women had a 2.5-fold higher adjusted odds of PCOS than Chinese women (95% CI 2.1–3.0), with no difference for Filipina versus Chinese women (aOR 1.0, 95% CI 0.8–1.2). In contrast, South Asian (aOR 1.5, 95% CI 1.3–1.8) and Filipina women (aOR 2.2, 95% CI 1.9–2.6) had higher adjusted odds of DM than Chinese women. Conclusion: Despite the known metabolic association of PCOS and insulin resistance, we found that the risk profiles of PCOS and DM differed by Asian ethnicity, with risk of PCOS highest in South Asian women and risk of DM highest in Filipina women. While our analyses were limited to women with BMI assessed at a clinical visit and not a screened population, the differential risk of PCOS and DM in Asian subgroups and higher burden of PCOS in South Asian women, independent of BMI, warrant further study.


2010 ◽  
pp. P2-415-P2-415
Author(s):  
R Azziz ◽  
U Ezeh ◽  
M Pall ◽  
DA Dumesic ◽  
G Chazenbalk ◽  
...  

2021 ◽  
Vol 39 (4) ◽  
pp. 225-232
Author(s):  
Shakeela Ishrat ◽  
Marufa Hussain

Introduction: Polycystic ovary syndrome (PCOS) affects 5-10% of reproductive age women and it is a common cause of infertility in young women. Most of the infertile women with PCOS are overweight or obese with related risks of insulin resistance, dyslipidemia and metabolic syndrome. There is ethnic variation in the prevalence of obesity and its related metabolic abnormalities in women with polycystic ovary syndrome. This study was designed to explore the prevalence of insulin resistance, dyslipidemia and metabolic syndrome in infertile women with polycystic ovary syndrome in Bangladesh. Methods: This was a cross sectional study of 126 infertile women with polycystic ovary syndrome attending the Infertility unit of the Department of Obstertrics and Gynaecology at Bangabandhu Sheikh Mujib Medical University from January 2017 to December 2017. Results: The mean BMI was 26.58±3.18 and mean waist circumference was 91.07±9.5 cm. Regarding the prevalence of obesity, 47.6% of the women were overweight (BMI 23 - 27.5 kg/m2), 39.7% was obese (BMI>27.5 kg/m2) and central obesity (waist circumference ≥80 cm) was in 80.2%. In infertile women of PCOS, the prevalence of insulin resistance was 27.8% , dyslipidemia 93.7% metabolic syndrome 42.9% .Median fasting insulin was higher than the cut off for insulin resistance specific for south Asian population. Insulin resistance measured by hyperinsulinemia was much more frequent (65.9%) than that measured by HOMA-IR (27.8%).The most common lipid abnormality was low HDL cholesterol (90.5%) followed by elevated LDL-cholesterol (79.4%). Low HDL cholesterol (90.5%) and abdominal or central obesity (80.2%) were the most common criteria of metabolic syndrome. There is increasing trend in metabolic syndrome with age. Conclusion: Screening the infertile women with polycystic ovary syndrome for insulin resistance, dyslipidemia and metabolic syndrome is important because it allows for additional counseling about long term health consequences and emphasis on weight management. J Bangladesh Coll Phys Surg 2021; 39: 225-232


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