{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T11:26:46Z","timestamp":1780918006041,"version":"3.54.1"},"reference-count":46,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T00:00:00Z","timestamp":1773878400000},"content-version":"vor","delay-in-days":18,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100013238","name":"Faculty of Medicine Siriraj Hospital, Mahidol University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100013238","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["obgyn.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Obstet and Gynaecol"],"published-print":{"date-parts":[[2026,3]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aim<\/jats:title>\n                    <jats:p>\n                      To compare the diagnostic accuracy of seven anthropometric indices for predicting metabolic syndrome (\n                      <jats:styled-content style=\"fixed-case\">MetS<\/jats:styled-content>\n                      ) in Thai women with polycystic ovary syndrome (\n                      <jats:styled-content style=\"fixed-case\">PCOS<\/jats:styled-content>\n                      ).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Electronic medical records of 1492 women aged 15\u201345\u2009years who attended Siriraj Hospital during 2015\u20132024 were retrospectively analyzed. MetS was diagnosed using the International Diabetes Federation 2006 criteria. The indices assessed were a body shape index (ABSI), abdominal volume index (AVI), body adiposity index (BAI), body mass index (BMI), body roundness index (BRI), waist\u2010to\u2010hip ratio (WHR), and waist\u2010to\u2010height ratio (WHtR). Discrimination was evaluated by receiver operating characteristic (ROC) analysis with area under the curve (AUC) and 95% CI. Optimal cut\u2010offs were identified using the Youden index.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Metabolic syndrome prevalence was 20.8%. AVI, BMI, BRI, and WHtR showed comparable discrimination (AUC 0.84\u20130.85) and outperformed BAI (AUC 0.79), WHR (AUC 0.78), and ABSI (AUC 0.52). A composite of AVI, BRI, and WHtR did not improve discrimination. A BMI threshold of 25.78\u2009kg\/m\n                      <jats:sup>2<\/jats:sup>\n                      provided the best overall accuracy (69.6%). A WHtR threshold of 0.53 offered similar clinical utility.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>BMI and waist\u2010centered indices demonstrate comparable performance for predicting MetS in Thai women with PCOS. BMI provides the highest overall accuracy and, together with WHtR, can serve as practical first\u2010line triage tools.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/jog.70255","type":"journal-article","created":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T01:54:32Z","timestamp":1773971672000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Anthropometric Measurements to Predict Metabolic Syndrome in Thai Women With Polycystic Ovary Syndrome: A Retrospective Study"],"prefix":"10.1111","volume":"52","author":[{"given":"Marisa","family":"Yokyongsakul","sequence":"first","affiliation":[{"name":"Department of Obstetrics and Gynecology Faculty of Medicine Siriraj Hospital, Mahidol University  Bangkok 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