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Lipid ratios and obesity indices are effective predictors of metabolic syndrome in women with polycystic ovary syndrome

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dc.abstract.enBackground: Insulin resistance (IR) is common in women with polycystic ovary syndrome (PCOS). Metabolic syndrome (MS) involves IR, arterial hypertension, dyslipidemia, and visceral fat accumulation. Therefore, fatness indices and blood lipid ratios can be considered as screening markers for MS. Our study aimed to evaluate the predictive potential of selected indirect metabolic risk parameters to identify MS in PCOS. Methods: This cross-sectional study involved 596 women aged 18–40 years, including 404 PCOS patients diagnosed according to the Rotterdam criteria and 192 eumenorrheic controls (CON). Anthropometric and blood pressure measurements were taken, and blood samples were collected to assess glucose metabolism, lipid parameters, and selected hormone levels. Body mass index (BMI), waist-to-height ratio (WHtR), homeostasis model assessment for insulin resistance index (HOMA-IR), visceral adiposity index (VAI), lipid accumulation product (LAP), non-high-density lipoprotein cholesterol (non-HDL-C), and triglycerides-to-HDL cholesterol ratio (TG/HDL-C) were calculated. MS was assessed using the International Diabetes Federation (IDF) and the American Heart Association/National Heart, Lung, and Blood Institute (AHA/NHLBI) criteria. Results: MS prevalence was significantly higher in PCOS versus CON. Patients with both MS and PCOS had more unfavorable anthropometric, hormonal, and metabolic profiles versus those with neither MS nor PCOS and versus CON with MS. LAP, TG/HDL-C, VAI, and WHtR were the best markers and strongest indicators of MS in PCOS, and their cut-off values could be useful for early MS detection. MS risk in PCOS increased with elevated levels of these markers and was the highest when TG/HDL-C was used. Conclusions: LAP, TG/HDL-C, VAI, and WHtR are representative markers for MS assessment in PCOS. Their predictive power makes them excellent screening tools for internists and enables acquiring accurate diagnoses using fewer MS markers.
dc.affiliationWydział Nauk o Żywności i Żywieniu
dc.affiliation.instituteKatedra Żywienia Człowieka i Dietetyki
dc.contributor.authorKałużna, Małgorzata
dc.contributor.authorCzłapka-Matyasik, Magdalena
dc.contributor.authorKompf, Pola
dc.contributor.authorMoczko, Jerzy
dc.contributor.authorWachowiak-Ochmańska, Katarzyna
dc.contributor.authorJanicki, Adam
dc.contributor.authorSamarzewska, Karolina
dc.contributor.authorRuchała, Marek
dc.contributor.authorZiemnicka, Katarzyna
dc.date.access2025-12-17
dc.date.accessioned2025-12-17T08:33:38Z
dc.date.available2025-12-17T08:33:38Z
dc.date.copyright2022-01-10
dc.date.issued2022
dc.description.abstract<jats:sec><jats:title>Background:</jats:title><jats:p> Insulin resistance (IR) is common in women with polycystic ovary syndrome (PCOS). Metabolic syndrome (MS) involves IR, arterial hypertension, dyslipidemia, and visceral fat accumulation. Therefore, fatness indices and blood lipid ratios can be considered as screening markers for MS. Our study aimed to evaluate the predictive potential of selected indirect metabolic risk parameters to identify MS in PCOS. </jats:p></jats:sec><jats:sec><jats:title>Methods:</jats:title><jats:p> This cross-sectional study involved 596 women aged 18–40 years, including 404 PCOS patients diagnosed according to the Rotterdam criteria and 192 eumenorrheic controls (CON). Anthropometric and blood pressure measurements were taken, and blood samples were collected to assess glucose metabolism, lipid parameters, and selected hormone levels. Body mass index (BMI), waist-to-height ratio (WHtR), homeostasis model assessment for insulin resistance index (HOMA-IR), visceral adiposity index (VAI), lipid accumulation product (LAP), non-high-density lipoprotein cholesterol (non-HDL-C), and triglycerides-to-HDL cholesterol ratio (TG/HDL-C) were calculated. MS was assessed using the International Diabetes Federation (IDF) and the American Heart Association/National Heart, Lung, and Blood Institute (AHA/NHLBI) criteria. </jats:p></jats:sec><jats:sec><jats:title>Results:</jats:title><jats:p> MS prevalence was significantly higher in PCOS versus CON. Patients with both MS and PCOS had more unfavorable anthropometric, hormonal, and metabolic profiles versus those with neither MS nor PCOS and versus CON with MS. LAP, TG/HDL-C, VAI, and WHtR were the best markers and strongest indicators of MS in PCOS, and their cut-off values could be useful for early MS detection. MS risk in PCOS increased with elevated levels of these markers and was the highest when TG/HDL-C was used. </jats:p></jats:sec><jats:sec><jats:title>Conclusions:</jats:title><jats:p> LAP, TG/HDL-C, VAI, and WHtR are representative markers for MS assessment in PCOS. Their predictive power makes them excellent screening tools for internists and enables acquiring accurate diagnoses using fewer MS markers. </jats:p></jats:sec>
dc.description.accesstimeat_publication
dc.description.bibliographyil., bibliogr.
dc.description.financepublication_nocost
dc.description.financecost0,00
dc.description.if3,8
dc.description.points100
dc.description.versionfinal_published
dc.description.volume13
dc.identifier.doi10.1177/20420188211066699
dc.identifier.eissn2042-0196
dc.identifier.issn2042-0188
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/6422
dc.identifier.weblinkhttps://journals.sagepub.com/doi/10.1177/20420188211066699
dc.languageen
dc.relation.ispartofTherapeutic Advances in Endocrinology and Metabolism
dc.relation.pages[1-13]
dc.rightsCC-BY-NC
dc.sciencecloudnosend
dc.share.typeOPEN_JOURNAL
dc.subject.enlipid accumulation product (LAP)
dc.subject.enmetabolic syndrome (MS)
dc.subject.enpolycystic ovary syndrome (PCOS)
dc.subject.envisceral adiposity index (VAI)
dc.subject.enwaist-to-height ratio (WHtR)
dc.titleLipid ratios and obesity indices are effective predictors of metabolic syndrome in women with polycystic ovary syndrome
dc.typeJournalArticle
dspace.entity.typePublication
oaire.citation.volume13