The role of different methods in defining cardiometabolic risk and metabolic syndrome in women with polycystic ovary syndrome

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dc.authoridDilşat Baş / 0000-0002-2991-7774
dc.contributor.authorBiçer, Nihan Çakir
dc.contributor.authorErmiş, Asime Aleyna
dc.contributor.authorBaş, Dilşat
dc.date.accessioned2023-12-04T13:00:29Z
dc.date.available2023-12-04T13:00:29Z
dc.date.issued2023
dc.departmentFakülteler, Sağlık Bilimleri Fakültesi, Beslenme ve Diyetetik Bölümü
dc.description.abstractPolycystic ovary syndrome (PCOS) is one of the most frequent endocrine illnesses, often accompanied by visceral adiposity and metabolic syndrome (MetS). Visceral adiposity is an accurate predictor of MetS and cardiometabolic risk. This study aims to evaluate different anthropometric indices that can be used in PCOS and MetS risk assessment. A total of 66 women with PCOS (50%) and 66 controls (50%) were included, and clinical and biochemical parameters were evaluated. The body mass index (BMI), body shape index (ABSI), body roundness index (BRI), dysfunctional adiposity index (DAI), lipid accumulation (LAP) index, and visceral adiposity index (VAI) were calculated. The means of all indices were higher in the PCOS group (p < 0.05). The marker with the lowest discriminatory ability for PCOS and MetS was ABSI (AUC = 0.762 and AUC = 0.714, respectively, p = 0.000). According to the multivariate logistic regression model, the VAI and WC are strong predictors of PCOS (AUC, 98%; accuracy, 92%; sensitivity, 92%; and specificity, 91%), and WC, LAP index, and BRI are strong predictors of MetS (AUC, 0.95%; accuracy, 86%; sensitivity, 83%; and specificity, 88%). The use of different anthropometric indices in the detection of PCOS and MetS may allow for early diagnosis and treatment, and are simple and cost-effective.
dc.identifier.citationÇakır Biçer N, Ermiş AA, Baş D. The Role of Different Methods in Defining Cardiometabolic Risk and Metabolic Syndrome in Women with Polycystic Ovary Syndrome. Life (Basel). 2023 Sep 25;13(10):1959. doi: 10.3390/life13101959. PMID: 37895341; PMCID: PMC10608420.en_US
dc.identifier.doi10.3390/life13101959
dc.identifier.endpage21
dc.identifier.issn2075-1729
dc.identifier.issn2080-4873
dc.identifier.issue10
dc.identifier.scopus2-s2.0-85178323886
dc.identifier.scopusqualityQ2
dc.identifier.startpage1
dc.identifier.urihttp://dx.doi.org/10.3390/life13101959
dc.identifier.urihttps://hdl.handle.net/20.500.12941/169
dc.identifier.volume13
dc.identifier.wosWOS:001152127000004
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthorBaş, Dilşat
dc.language.isoen
dc.publisherMDPI
dc.relation.ispartofLife (Basel)
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectPolycystic ovary syndrome
dc.subjectMetabolic syndrome
dc.subjectVisceral adiposity
dc.subjectBody mass index
dc.subjectA body shape index
dc.subjectBody roundness index
dc.subjectDysfunctional adiposity index
dc.subjectLipid accumulation index
dc.subjectVisceral adiposity index
dc.titleThe role of different methods in defining cardiometabolic risk and metabolic syndrome in women with polycystic ovary syndrome
dc.typeArticle

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