Metabolic syndrome index measurement tool (MSI): scale development, reliability and validity study
Abstract Aim 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 meas...
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2025-01-01
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| Online Access: | https://doi.org/10.1186/s12889-025-21304-7 |
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| author | Zahide Akeren Emine Apaydın |
| author_facet | Zahide Akeren Emine Apaydın |
| author_sort | Zahide Akeren |
| collection | DOAJ |
| description | Abstract Aim 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. |
| format | Article |
| id | doaj-art-1abdbbf302ec4c24b5298704474eb9be |
| institution | Kabale University |
| issn | 1471-2458 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMC |
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| series | BMC Public Health |
| spelling | doaj-art-1abdbbf302ec4c24b5298704474eb9be2025-01-12T12:42:45ZengBMCBMC Public Health1471-24582025-01-012511910.1186/s12889-025-21304-7Metabolic syndrome index measurement tool (MSI): scale development, reliability and validity studyZahide Akeren0Emine Apaydın1Nursing Department, Bayburt University Health Sciences FacultyVocational School of Health Services, Medical Services and Techniques Department, First and Emergency Aid Programme, Bayburt UniversityAbstract Aim 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.https://doi.org/10.1186/s12889-025-21304-7Metabolic syndromeDiabetes mellitusCardiovascular diseaseMeasurement tool |
| spellingShingle | Zahide Akeren Emine Apaydın Metabolic syndrome index measurement tool (MSI): scale development, reliability and validity study BMC Public Health Metabolic syndrome Diabetes mellitus Cardiovascular disease Measurement tool |
| title | Metabolic syndrome index measurement tool (MSI): scale development, reliability and validity study |
| title_full | Metabolic syndrome index measurement tool (MSI): scale development, reliability and validity study |
| title_fullStr | Metabolic syndrome index measurement tool (MSI): scale development, reliability and validity study |
| title_full_unstemmed | Metabolic syndrome index measurement tool (MSI): scale development, reliability and validity study |
| title_short | Metabolic syndrome index measurement tool (MSI): scale development, reliability and validity study |
| title_sort | metabolic syndrome index measurement tool msi scale development reliability and validity study |
| topic | Metabolic syndrome Diabetes mellitus Cardiovascular disease Measurement tool |
| url | https://doi.org/10.1186/s12889-025-21304-7 |
| work_keys_str_mv | AT zahideakeren metabolicsyndromeindexmeasurementtoolmsiscaledevelopmentreliabilityandvaliditystudy AT emineapaydın metabolicsyndromeindexmeasurementtoolmsiscaledevelopmentreliabilityandvaliditystudy |