Abstract

Objective. To evaluate the contribution to glucose intolerance and metabolic syndrome of obesity combined with the diagnostic criteria of polycystic ovary syndrome (PCOS). Design. Prospective study. Setting. University teaching hospital from 31 August 2010 to 31 August 2011. Population. Two hundred and twenty women with PCOS and seventy normal control women. Methods. The clinical and biochemical characteristics of women with PCOS and control women were evaluated. Main outcome measures. The impact of obesity, hyperandrogenism, oligo-anovulation and polycystic ovary morphology on impaired glucose tolerance and metabolic disturbances. Results. Obese women with PCOS had significantly higher insulin resistance than obese normal control women. Logistic regression analysis showed that obesity was the only factor that predicted impaired glucose tolerance and metabolic syndrome. Use of the area under the receiver operating characteristic curve (AUROC) for the body mass index to predict impaired glucose tolerance and metabolic syndrome was more accurate than AUROCs for serum total testosterone level and the average menstrual interval. Conclusions. Body weight status was the major factor determining the risk of impaired glucose tolerance and metabolic syndrome in women with PCOS. Obesity should be treated as the major factor determining long-term health consequences associated with PCOS.

Original languageEnglish
Pages (from-to)1167-1172
Number of pages6
JournalActa Obstetricia et Gynecologica Scandinavica
Volume91
Issue number10
DOIs
Publication statusPublished - Oct 2012

Fingerprint

Glucose Intolerance
Polycystic Ovary Syndrome
Obesity
Anovulation
Hyperandrogenism
ROC Curve
Teaching Hospitals
Insulin Resistance
Testosterone
Ovary
Body Mass Index
Logistic Models
Body Weight
Regression Analysis
Outcome Assessment (Health Care)
Prospective Studies
Health
Serum
Population

Keywords

  • body mass index
  • impaired glucose tolerance
  • metabolic syndrome
  • obesity
  • Polycystic ovary syndrome

ASJC Scopus subject areas

  • Obstetrics and Gynaecology

Cite this

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title = "Obesity is the predominant predictor of impaired glucose tolerance and metabolic disturbance in polycystic ovary syndrome",
abstract = "Objective. To evaluate the contribution to glucose intolerance and metabolic syndrome of obesity combined with the diagnostic criteria of polycystic ovary syndrome (PCOS). Design. Prospective study. Setting. University teaching hospital from 31 August 2010 to 31 August 2011. Population. Two hundred and twenty women with PCOS and seventy normal control women. Methods. The clinical and biochemical characteristics of women with PCOS and control women were evaluated. Main outcome measures. The impact of obesity, hyperandrogenism, oligo-anovulation and polycystic ovary morphology on impaired glucose tolerance and metabolic disturbances. Results. Obese women with PCOS had significantly higher insulin resistance than obese normal control women. Logistic regression analysis showed that obesity was the only factor that predicted impaired glucose tolerance and metabolic syndrome. Use of the area under the receiver operating characteristic curve (AUROC) for the body mass index to predict impaired glucose tolerance and metabolic syndrome was more accurate than AUROCs for serum total testosterone level and the average menstrual interval. Conclusions. Body weight status was the major factor determining the risk of impaired glucose tolerance and metabolic syndrome in women with PCOS. Obesity should be treated as the major factor determining long-term health consequences associated with PCOS.",
keywords = "body mass index, impaired glucose tolerance, metabolic syndrome, obesity, Polycystic ovary syndrome",
author = "Liang, {So Jung} and Liou, {Tsan Hon} and Lin, {Hui Wen} and Chun-Sen Hsu and Tzeng, {Chii Ruey} and Hsu, {Ming I.}",
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T1 - Obesity is the predominant predictor of impaired glucose tolerance and metabolic disturbance in polycystic ovary syndrome

AU - Liang, So Jung

AU - Liou, Tsan Hon

AU - Lin, Hui Wen

AU - Hsu, Chun-Sen

AU - Tzeng, Chii Ruey

AU - Hsu, Ming I.

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N2 - Objective. To evaluate the contribution to glucose intolerance and metabolic syndrome of obesity combined with the diagnostic criteria of polycystic ovary syndrome (PCOS). Design. Prospective study. Setting. University teaching hospital from 31 August 2010 to 31 August 2011. Population. Two hundred and twenty women with PCOS and seventy normal control women. Methods. The clinical and biochemical characteristics of women with PCOS and control women were evaluated. Main outcome measures. The impact of obesity, hyperandrogenism, oligo-anovulation and polycystic ovary morphology on impaired glucose tolerance and metabolic disturbances. Results. Obese women with PCOS had significantly higher insulin resistance than obese normal control women. Logistic regression analysis showed that obesity was the only factor that predicted impaired glucose tolerance and metabolic syndrome. Use of the area under the receiver operating characteristic curve (AUROC) for the body mass index to predict impaired glucose tolerance and metabolic syndrome was more accurate than AUROCs for serum total testosterone level and the average menstrual interval. Conclusions. Body weight status was the major factor determining the risk of impaired glucose tolerance and metabolic syndrome in women with PCOS. Obesity should be treated as the major factor determining long-term health consequences associated with PCOS.

AB - Objective. To evaluate the contribution to glucose intolerance and metabolic syndrome of obesity combined with the diagnostic criteria of polycystic ovary syndrome (PCOS). Design. Prospective study. Setting. University teaching hospital from 31 August 2010 to 31 August 2011. Population. Two hundred and twenty women with PCOS and seventy normal control women. Methods. The clinical and biochemical characteristics of women with PCOS and control women were evaluated. Main outcome measures. The impact of obesity, hyperandrogenism, oligo-anovulation and polycystic ovary morphology on impaired glucose tolerance and metabolic disturbances. Results. Obese women with PCOS had significantly higher insulin resistance than obese normal control women. Logistic regression analysis showed that obesity was the only factor that predicted impaired glucose tolerance and metabolic syndrome. Use of the area under the receiver operating characteristic curve (AUROC) for the body mass index to predict impaired glucose tolerance and metabolic syndrome was more accurate than AUROCs for serum total testosterone level and the average menstrual interval. Conclusions. Body weight status was the major factor determining the risk of impaired glucose tolerance and metabolic syndrome in women with PCOS. Obesity should be treated as the major factor determining long-term health consequences associated with PCOS.

KW - body mass index

KW - impaired glucose tolerance

KW - metabolic syndrome

KW - obesity

KW - Polycystic ovary syndrome

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