Metabolic syndrome index measurement tool (MSI): scale development, reliability and validity study

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dc.authorid0000-0003-0127-8357
dc.contributor.authorAkeren, Zahide
dc.contributor.authorApaydin, Emine
dc.date.accessioned2026-02-28T12:18:03Z
dc.date.available2026-02-28T12:18:03Z
dc.date.issued2025
dc.departmentBayburt Üniversitesi
dc.description.abstractAim Identifying the risks of metabolic syndrome (MetS) can lead to early targeted interventions and thus contribute to improved quality of life by reducing the risk of developing MetS, diabetes or heart disease in the future. We aimed to develop a valid and reliable measurement tool to measure the MetS risk of the population. Materials and methods In the methodological study, an item pool was created by reviewing the literature. Pre-application was performed after the weighting of the items whose content validity was ensured by taking expert opinions. Data were collected from 43 patients with MetS from a state hospital affiliated to the Ministry of Health and 405 individuals without MetS from the community, from a total of 448 individuals using the Individual Information Form, Finnish Diabetes Risk Scale (FINDRISC) and Metabolic Syndrome Index (MSI). The data obtained were evaluated using SPSS 22.0 and MedCalc 19.1 statistical programmes. Scale discrimination was analyzed by independent samples t-test between the upper and lower 27% groups. The cut-off point of the scale score in predicting the diagnosis of MetS was tested by ROC analysis. Correlation analysis was performed with the parallel form for criterion validity. Results As a result of the ROC analysis, a perfectly compatible scale with a sensitivity of 100%, a specificity of 85.43% and a cut-off score of 48 was obtained. When the correlation analyses between MSI and FINDRISC scores were examined for criterion validity, a positive moderate (r = 0.632, p < 0.001) correlation was found between FINDRISC and MSI. When the discrimination of the scale was analysed, it was found that there was a significant difference between the lower 27% and upper 27% groups (p < 0.05) and it was revealed that the MSI made sensitive measurements to discriminate. Conclusions The MSI scale is a valid and reliable tool for early detection of MetS risk.
dc.identifier.doi10.1186/s12889-025-21304-7
dc.identifier.issn1471-2458
dc.identifier.issue1
dc.identifier.pmid39762795
dc.identifier.scopus2-s2.0-85214262925
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1186/s12889-025-21304-7
dc.identifier.urihttps://hdl.handle.net/20.500.12403/6095
dc.identifier.volume25
dc.identifier.wosWOS:001391766000012
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherBmc
dc.relation.ispartofBmc Public Health
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20260218
dc.subjectMetabolic syndrome
dc.subjectDiabetes mellitus
dc.subjectCardiovascular disease
dc.subjectMeasurement tool
dc.titleMetabolic syndrome index measurement tool (MSI): scale development, reliability and validity study
dc.typeArticle

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