Can new anthropometric indices be used as a marker for the presence of metabolic syndrome?

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dc.contributor.authorDemirbas, Nur
dc.contributor.authorKutlu, Ruhusen
dc.date.accessioned2024-02-23T14:38:26Z
dc.date.available2024-02-23T14:38:26Z
dc.date.issued2021
dc.departmentNEÜen_US
dc.description.abstractAim: Since traditional anthropometric measurements such as waist circumference (WC) and body mass index (BMI) can not adequately demonstrate muscle, fat mass, and body fat distribution, new indices have been developed taking into account the shape of the body. In this study, we aimed to investigate whether new anthropometric indices such as Rohrer Index (RI), Body Shape Index (BSI), and Body Roundness Index (BRI) can be used as markers for the presence of metabolic syndrome or not. Materials and Methods: This study was performed on 1059 patients who met the inclusion criteria. Waist-to-height ratio (WHtR), BMI, BRI, BSI, RI were calculated using the appropriate anthropometric measurements taken from the files of the participants. Results: The prevalence of metabolic syndrome was 39.9% (n=423). There was a statistically significant relationship between BMI, WHtR, RI, BSI, BRI and gender, age, and metabolic syndrome (p<0.001). While there was a weak positive correlation between BSI and metabolic syndrome (r=0.182, p<0.001), there was a strong positive correlation between BRI and metabolic syndrome (r=0.610, p<0.001). The optimum cutting values for BMI, WHtR, and BRI were determined as 30.19 kg/m2, 0.59 cm and 5.24, respectively. Discussion: BRI and WHtR were found to have a higher capacity to predict metabolic syndrome than other indices (BSI, RI, BMI), however, it was seen that it was not superior to BMI. Other anthropometric indices can be used as well as BMI and waist circumference for the prevention, early diagnosis, and detection of the metabolic syndrome risks in the primary health care centers.en_US
dc.identifier.doi10.4328/ACAM.20303
dc.identifier.endpage478en_US
dc.identifier.issn2667-663X
dc.identifier.issue5en_US
dc.identifier.startpage474en_US
dc.identifier.urihttps://doi.org/10.4328/ACAM.20303
dc.identifier.urihttps://hdl.handle.net/20.500.12452/16529
dc.identifier.volume12en_US
dc.identifier.wosWOS:000732429800001en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherBayrakol Medical Publisheren_US
dc.relation.ispartofAnnals Of Clinical And Analytical Medicineen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMetabolic Syndromeen_US
dc.subjectObesityen_US
dc.subjectAnthropometryen_US
dc.subjectAdultsen_US
dc.subjectPrimary Health Careen_US
dc.titleCan new anthropometric indices be used as a marker for the presence of metabolic syndrome?en_US
dc.typeArticleen_US

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