Debatable Topics in PCOS Patients 2018
DOI: 10.5772/intechopen.70621
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Lean Women with Polycystic Ovary Syndrome

Abstract: Most of the time, polycystic ovary syndrome (PCOs) is considered as an obese women disease; lean PCOs patients need to evaluate and treat completely as a neglected subgroup. Androgen excess signs and symptoms, insulin resistance (IR) and its consequences, cardiometabolic risks, and regular exercise must be noted and managed carefully.

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Cited by 2 publications
(3 citation statements)
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“…When it comes to different ethnic origins, the prevalence of women with PCOS who are in normal weight and underweight is reported to be 1.5-6.6%. As in our study, subjects with BMI below 25 kg/m 2 are considered nonobese and BMI over 25 kg/m 2 is considered obese [3]. However, although the majority of PCOS women is overweight or obese, many lean women with PCOS are also considered at high risk for metabolic disorders such as hyperinsulinemia and insulin resistance.…”
Section: Introductionmentioning
confidence: 85%
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“…When it comes to different ethnic origins, the prevalence of women with PCOS who are in normal weight and underweight is reported to be 1.5-6.6%. As in our study, subjects with BMI below 25 kg/m 2 are considered nonobese and BMI over 25 kg/m 2 is considered obese [3]. However, although the majority of PCOS women is overweight or obese, many lean women with PCOS are also considered at high risk for metabolic disorders such as hyperinsulinemia and insulin resistance.…”
Section: Introductionmentioning
confidence: 85%
“…Fat mass differences changed with sex, ethnicity, and age which are influenced by genetic, nutritional status, diet, behaviour, and socioeconomic, environmental, and hormonal factors [6]. If compared with the control group, there is higher waist-tohip ratio, greater intraperitoneal and visceral fat, and percentages of body fat in BMI-matched lean women with PCO [3]. Android fat pattern is the central in the cardiovascular risk management of metabolic syndrome.…”
Section: Introductionmentioning
confidence: 99%
“…Reviews summarizing data on NonObPCOS were published in 2017 [26,27]. In this chapter, we analyze older and recent data on epidemiology, body composition, pathogenesis of insulin resistance, and hyperandrogenism in NonObPCOS.…”
Section: Introductionmentioning
confidence: 99%