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Psychometric properties of multidimensional health locus of control scale, form C among Iranian type 2 diabetes
OBJECTIVE: This study aimed at examining the psychometric properties of Persian version of Multidimensional Health Locus of Control scale, form C (MHLC-C) among Iranian type 2 diabetes. METHOD: This cross sectional study was conducted on 557 type 2 diabetes in eastern city of Iran in 2022. Participa...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10201480/ https://www.ncbi.nlm.nih.gov/pubmed/37363200 http://dx.doi.org/10.1007/s40200-023-01227-z |
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author | Jafari, Alireza Zadehahmad, Zohreh Dogonchi, Mitra Ghelichi-Ghojogh, Mousa Moshki, Mahdi |
author_facet | Jafari, Alireza Zadehahmad, Zohreh Dogonchi, Mitra Ghelichi-Ghojogh, Mousa Moshki, Mahdi |
author_sort | Jafari, Alireza |
collection | PubMed |
description | OBJECTIVE: This study aimed at examining the psychometric properties of Persian version of Multidimensional Health Locus of Control scale, form C (MHLC-C) among Iranian type 2 diabetes. METHOD: This cross sectional study was conducted on 557 type 2 diabetes in eastern city of Iran in 2022. Participants were selected by proportional stratified sampling. The validity of MHLC-C was tested by face validity, content validity, exploratory factor analysis (EFA), and confirmatory factor analysis (CFA).Reliability of MHLC-C was assessed by McDonald omega coefficient, Cronbach’s alpha coefficient, and Intraclass Correlation Coefficient. RESULTS: Based on the results of EFA, 4 factors with eigenvalues greater than 1 were extracted, which explained 61.66% of the variance. In EFA, a question was removed. In CFA, the factor loading of all questions was more than 0.4 and the indexes of the goodness-of-fit were acceptable (for example: X(2)/df = 4.457, RMSEA: 0.079, CFI = 0.904, and PGFI = 0.663). McDonald omega coefficient and Cronbach’s alpha coefficient of MHLC-C were 0.869 and 0.866. The Intraclass Correlation Coefficient of MHLC-C was 0.817. Finally, the MHLC-C with 17 questions and 4 factors of chance (6 items), internal (5 items), other powerful people (3 items), and doctors (3 items) was approved. CONCLUSIONS: The Persian version of the MHLC-C questionnaire, with 17 questions and four factors, is a valid and reliable scale for Iranian type 2 diabetes to assess their health locus of control status. |
format | Online Article Text |
id | pubmed-10201480 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-102014802023-11-15 Psychometric properties of multidimensional health locus of control scale, form C among Iranian type 2 diabetes Jafari, Alireza Zadehahmad, Zohreh Dogonchi, Mitra Ghelichi-Ghojogh, Mousa Moshki, Mahdi J Diabetes Metab Disord Research Article OBJECTIVE: This study aimed at examining the psychometric properties of Persian version of Multidimensional Health Locus of Control scale, form C (MHLC-C) among Iranian type 2 diabetes. METHOD: This cross sectional study was conducted on 557 type 2 diabetes in eastern city of Iran in 2022. Participants were selected by proportional stratified sampling. The validity of MHLC-C was tested by face validity, content validity, exploratory factor analysis (EFA), and confirmatory factor analysis (CFA).Reliability of MHLC-C was assessed by McDonald omega coefficient, Cronbach’s alpha coefficient, and Intraclass Correlation Coefficient. RESULTS: Based on the results of EFA, 4 factors with eigenvalues greater than 1 were extracted, which explained 61.66% of the variance. In EFA, a question was removed. In CFA, the factor loading of all questions was more than 0.4 and the indexes of the goodness-of-fit were acceptable (for example: X(2)/df = 4.457, RMSEA: 0.079, CFI = 0.904, and PGFI = 0.663). McDonald omega coefficient and Cronbach’s alpha coefficient of MHLC-C were 0.869 and 0.866. The Intraclass Correlation Coefficient of MHLC-C was 0.817. Finally, the MHLC-C with 17 questions and 4 factors of chance (6 items), internal (5 items), other powerful people (3 items), and doctors (3 items) was approved. CONCLUSIONS: The Persian version of the MHLC-C questionnaire, with 17 questions and four factors, is a valid and reliable scale for Iranian type 2 diabetes to assess their health locus of control status. Springer International Publishing 2023-05-22 /pmc/articles/PMC10201480/ /pubmed/37363200 http://dx.doi.org/10.1007/s40200-023-01227-z Text en © The Author(s), under exclusive licence to Tehran University of Medical Sciences 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
spellingShingle | Research Article Jafari, Alireza Zadehahmad, Zohreh Dogonchi, Mitra Ghelichi-Ghojogh, Mousa Moshki, Mahdi Psychometric properties of multidimensional health locus of control scale, form C among Iranian type 2 diabetes |
title | Psychometric properties of multidimensional health locus of control scale, form C among Iranian type 2 diabetes |
title_full | Psychometric properties of multidimensional health locus of control scale, form C among Iranian type 2 diabetes |
title_fullStr | Psychometric properties of multidimensional health locus of control scale, form C among Iranian type 2 diabetes |
title_full_unstemmed | Psychometric properties of multidimensional health locus of control scale, form C among Iranian type 2 diabetes |
title_short | Psychometric properties of multidimensional health locus of control scale, form C among Iranian type 2 diabetes |
title_sort | psychometric properties of multidimensional health locus of control scale, form c among iranian type 2 diabetes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10201480/ https://www.ncbi.nlm.nih.gov/pubmed/37363200 http://dx.doi.org/10.1007/s40200-023-01227-z |
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