{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T13:09:48Z","timestamp":1791896988543,"version":"4.3.4"},"reference-count":35,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2015,7,8]],"date-time":"2015-07-08T00:00:00Z","timestamp":1436313600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100001779","name":"Monash University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001779","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Clinical Endocrinology"],"published-print":{"date-parts":[[2015,12]]},"abstract":"<jats:title>Summary<\/jats:title><jats:sec><jats:title>Objective<\/jats:title><jats:p>Polycystic ovary syndrome (<jats:styled-content style=\"fixed-case\">PCOS<\/jats:styled-content>) affects 12\u201321% of women. Women with <jats:styled-content style=\"fixed-case\">PCOS<\/jats:styled-content> exhibit clustering of metabolic features. We applied rigorous statistical methods to further understand the interplay between <jats:styled-content style=\"fixed-case\">PCOS<\/jats:styled-content> and metabolic features including insulin resistance, obesity and androgen status.<\/jats:p><\/jats:sec><jats:sec><jats:title>Design<\/jats:title><jats:p>Retrospective cross\u2010sectional analysis.<\/jats:p><\/jats:sec><jats:sec><jats:title>Patients<\/jats:title><jats:p>Women with <jats:styled-content style=\"fixed-case\">PCOS<\/jats:styled-content> attending reproductive endocrine clinics in South Australia for the treatment of <jats:styled-content style=\"fixed-case\">PCOS<\/jats:styled-content> (<jats:italic>n\u00a0<\/jats:italic>=\u00a0172). Women without <jats:styled-content style=\"fixed-case\">PCOS<\/jats:styled-content> (controls) in the same Australian region (<jats:italic>n<\/jats:italic>\u00a0=\u00a0335) from the Australian Diabetes, Obesity and Lifestyle Study (AusDiab), a national population\u2010based study (age\u2010 and <jats:styled-content style=\"fixed-case\">BMI<\/jats:styled-content>\u2010matched within one standard deviation of the <jats:styled-content style=\"fixed-case\">PCOS<\/jats:styled-content> cohort).<\/jats:p><\/jats:sec><jats:sec><jats:title>Measurements<\/jats:title><jats:p>The factor structure for metabolic syndrome for women with <jats:styled-content style=\"fixed-case\">PCOS<\/jats:styled-content> and control groups was examined, specifically, the contribution of individual factors to metabolic syndrome and the association of hyperandrogenism with other metabolic factors.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Women with <jats:styled-content style=\"fixed-case\">PCOS<\/jats:styled-content> demonstrated clustering of metabolic features that was not observed in the control group. Metabolic syndrome in the <jats:styled-content style=\"fixed-case\">PCOS<\/jats:styled-content> cohort was strongly represented by obesity (standardized factor loading<jats:italic>\u00a0<\/jats:italic>=\u00a00\u00b795, <jats:italic>P\u00a0<\/jats:italic>&lt;<jats:italic>\u00a0<\/jats:italic>0\u00b7001) and insulin resistance factors (loading<jats:italic>\u00a0<\/jats:italic>=\u00a00\u00b792, <jats:italic>P\u00a0<\/jats:italic>&lt;<jats:italic>\u00a0<\/jats:italic>0\u00b7001) and moderately by blood pressure (loading<jats:italic>\u00a0<\/jats:italic>=\u00a00\u00b762, <jats:italic>P\u00a0<\/jats:italic>&lt;<jats:italic>\u00a0<\/jats:italic>0\u00b7001) and lipid factors (loading<jats:italic>\u00a0<\/jats:italic>=\u00a00\u00b767, <jats:italic>P<\/jats:italic>\u00a0=\u00a00\u00b7002). On further analysis, the insulin resistance factor strongly correlated with the obesity (<jats:italic>r<\/jats:italic>\u00a0=\u00a00\u00b770, <jats:italic>P\u00a0<\/jats:italic>&lt;<jats:italic>\u00a0<\/jats:italic>0\u00b7001) and lipid factors (<jats:italic>r<\/jats:italic>\u00a0=\u00a00\u00b768, <jats:italic>P\u00a0<\/jats:italic>&lt;<jats:italic>\u00a0<\/jats:italic>0\u00b7001) and moderately with the blood pressure factor (loading<jats:italic>\u00a0<\/jats:italic>=\u00a00\u00b743, <jats:italic>P<\/jats:italic>\u00a0=\u00a00\u00b7002). The hyperandrogenism factor was moderately correlated with the insulin resistance factor (<jats:italic>r<\/jats:italic>\u00a0=\u00a00\u00b738, <jats:italic>P\u00a0<\/jats:italic>&lt;<jats:italic>\u00a0<\/jats:italic>0\u00b7003), but did not correlate with any other metabolic factors.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p><jats:styled-content style=\"fixed-case\">PCOS<\/jats:styled-content> women are more likely to display metabolic clustering in comparison with age\u2010 and <jats:styled-content style=\"fixed-case\">BMI<\/jats:styled-content>\u2010matched control women. Obesity and insulin resistance, but not androgens, are independently and most strongly associated with metabolic syndrome in <jats:styled-content style=\"fixed-case\">PCOS<\/jats:styled-content>.<\/jats:p><\/jats:sec>","DOI":"10.1111\/cen.12830","type":"journal-article","created":{"date-parts":[[2015,6,5]],"date-time":"2015-06-05T09:41:30Z","timestamp":1433497290000},"page":"879-887","source":"Crossref","is-referenced-by-count":28,"title":["The association between Polycystic Ovary Syndrome (<scp>PCOS<\/scp>) and metabolic syndrome: a statistical modelling approach"],"prefix":"10.1111","volume":"83","author":[{"given":"S.","family":"Ranasinha","sequence":"first","affiliation":[{"name":"Women's Reproductive Health Research Monash Centre for Health Research and Implementation School of Public Health and Preventive Medicine Monash University Clayton Vic Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A.E.","family":"Joham","sequence":"additional","affiliation":[{"name":"Women's Reproductive Health Research Monash Centre for Health Research and Implementation School of Public Health and Preventive Medicine Monash University Clayton Vic Australia"},{"name":"Diabetes and Vascular Medicine Unit Monash Health Clayton Vic Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"R.J.","family":"Norman","sequence":"additional","affiliation":[{"name":"Robinson Institute School of Paediatrics and Reproductive Health University of Adelaide North Adelaide SA Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J.E.","family":"Shaw","sequence":"additional","affiliation":[{"name":"Baker IDI Heart and Diabetes Institute Melbourne Vic Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"S.","family":"Zoungas","sequence":"additional","affiliation":[{"name":"Women's Reproductive Health Research Monash Centre for Health Research and Implementation School of Public Health and Preventive Medicine Monash University Clayton Vic Australia"},{"name":"Diabetes and Vascular Medicine Unit Monash Health Clayton Vic Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J.","family":"Boyle","sequence":"additional","affiliation":[{"name":"Women's Reproductive Health Research Monash Centre for Health Research and Implementation School of Public Health and Preventive Medicine Monash University Clayton Vic Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"L.","family":"Moran","sequence":"additional","affiliation":[{"name":"Women's Reproductive Health Research Monash Centre for Health Research and Implementation School of Public Health and Preventive Medicine Monash University Clayton Vic Australia"},{"name":"Robinson Institute School of Paediatrics and Reproductive Health University of Adelaide North Adelaide SA Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"H.J.","family":"Teede","sequence":"additional","affiliation":[{"name":"Women's Reproductive Health Research Monash Centre for Health Research and Implementation School of Public Health and Preventive Medicine Monash University Clayton Vic Australia"},{"name":"Diabetes and Vascular Medicine Unit Monash Health Clayton Vic Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2015,7,8]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1093\/humrep\/dep399"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1093\/humrep\/des232"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.5694\/mja11.10915"},{"key":"e_1_2_8_5_1","unstructured":"panel NEbw(2012).NIH Evidence based workshop on Polycystic Ovary Syndrome.http:\/\/preventionnihgov\/workshops\/2012\/pcos\/resourcesaspx"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1093\/humrep\/des463"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1002\/oby.20213"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2265.1990.tb00857.x"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.molmed.2006.05.006"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1093\/humrep\/den263"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.1161\/01.CIR.0000111245.75752.C6"},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.1210\/jc.2005-1329"},{"key":"e_1_2_8_13_1","unstructured":"The IDF consensus worldwide definition of the metabolic syndrome. 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