{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T04:13:26Z","timestamp":1787026406255,"version":"build-2736575974"},"reference-count":22,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2025,4,3]],"date-time":"2025-04-03T00:00:00Z","timestamp":1743638400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Endocrinol."],"abstract":"\n Background<\/jats:title>\n Insulin resistance (IR) is regarded as a significant role in the pathophysiology of Polycystic Ovary Syndrome (PCOS), hence early identification of IR in PCOS patients is crucial for their treatment. Recent researches indicate that Waist-to-Height Ratio (WHtR) differs in patients with PCOS accompanied by IR compared to those with PCOS alone; however, a consensus has yet to be reached. This research presents a meta-analysis of current data to propose a straightforward new index for diagnosing PCOS with insulin resistance.<\/jats:p>\n <\/jats:sec>\n \n Objective<\/jats:title>\n This study aims to assess the correlation between WHtR and insulin resistance in individuals with polycystic ovarian syndrome by meta-analysis and the synthesis of research information. This study will offer prognostic insights into the onset of insulin resistance in individuals with polycystic ovaries.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n This systematic review has finalized registration (CRD42025638798) on the PROSPERO platform. We conducted a search of prominent databases, including PubMed, Embase, Web of Science, The Cochrane Library, and performed manual searches. Observational studies of relevance (cohort, case-control, or cross-sectional) published before January 13, 2025, were considered. The methodological quality of case-control studies and cohort studies was evaluated using the NOS tool. Simultaneously, AHRQ criteria were employed to evaluate cross-sectional research. The study outcomes were reported as mean \u00b1 sd. The aggregated data was analyzed using StataMP17.0.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n A meta-analysis encompassing nine studies with 3012 participants identified a significant correlation between an increased WHtR and the onset of insulin resistance in individuals with polycystic ovarian syndrome (SMD: 1.07, 95% CI: 0.81, 1.32, p = 0.000).<\/jats:p>\n <\/jats:sec>\n \n Conclusion<\/jats:title>\n Patients with PCOS and insulin resistance will exhibit a greater WHtR compared to those with PCOS without insulin resistance. Thus, the incidence of insulin resistance in patients with polycystic ovary syndrome can be anticipated by monitoring the WHtR.<\/jats:p>\n <\/jats:sec>\n \n Systematic review registration<\/jats:title>\n \n https:\/\/www.crd.york.ac.uk\/PROSPERO\/view\/CRD42025638798<\/jats:uri>\n , identifier CRD42025638798.\n <\/jats:p>\n <\/jats:sec>","DOI":"10.3389\/fendo.2025.1567787","type":"journal-article","created":{"date-parts":[[2025,4,3]],"date-time":"2025-04-03T00:12:07Z","timestamp":1743639127000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Association between waist-to-height ratio and insulin resistance in patients with polycystic ovary syndrome: a 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