Development of a 24-Hour Movement Behavior Questionnaire: Reliability and Validity Testing in College Students From Low-Income Regions
In this study, we aimed to develop and test the psychometric properties of an online 24-hr movement behavior questionnaire (24 hr-MBQ). We recruited a sample of 195 undergraduate students. We developed a questionnaire based on 19 items extracted from previously validated questionnaires. We conducted...
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2025-06-01
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| Series: | SAGE Open |
| Online Access: | https://doi.org/10.1177/21582440251338337 |
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| author | Marcus Vinicius Nascimento-Ferreira Kliver Antonio Marin Lorrane Cristine Conceição da Silva Alaiana Marinho Franco Francisco Leonardo Torres-Leal Heráclito Barbosa Carvalho Augusto César Ferreira De Moraes |
| author_facet | Marcus Vinicius Nascimento-Ferreira Kliver Antonio Marin Lorrane Cristine Conceição da Silva Alaiana Marinho Franco Francisco Leonardo Torres-Leal Heráclito Barbosa Carvalho Augusto César Ferreira De Moraes |
| author_sort | Marcus Vinicius Nascimento-Ferreira |
| collection | DOAJ |
| description | In this study, we aimed to develop and test the psychometric properties of an online 24-hr movement behavior questionnaire (24 hr-MBQ). We recruited a sample of 195 undergraduate students. We developed a questionnaire based on 19 items extracted from previously validated questionnaires. We conducted reliability and construct validity assessment by classical test theory and structural validity assessment using unsupervised machine learning. In the classic test, we identified seven factors where the explained variance was 66.80% in the exploratory factor analysis, with no item excluded. We identified three clusters using unsupervised machine learning and this structure was able to distinguish differences in physical activity (physically active vs. long sleeper), sedentary behavior (all cluster comparison), and sleep time duration (all cluster comparison). Our findings suggest that the online 24 hr-MBQ is a reliable and structured construct for assessing 24-hr movement behaviors in college students. |
| format | Article |
| id | doaj-art-3683fbc0a3c94a7c8d2c1fbc3f354081 |
| institution | Kabale University |
| issn | 2158-2440 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | SAGE Open |
| spelling | doaj-art-3683fbc0a3c94a7c8d2c1fbc3f3540812025-08-20T03:28:05ZengSAGE PublishingSAGE Open2158-24402025-06-011510.1177/21582440251338337Development of a 24-Hour Movement Behavior Questionnaire: Reliability and Validity Testing in College Students From Low-Income RegionsMarcus Vinicius Nascimento-Ferreira0Kliver Antonio Marin1Lorrane Cristine Conceição da Silva2Alaiana Marinho Franco3Francisco Leonardo Torres-Leal4Heráclito Barbosa Carvalho5Augusto César Ferreira De Moraes6School of Public Health in Austin, The University of Texas Health Science Center at Houston, Austin, TX, USAUniversidade Federal do Tocantins, Miracema do Tocantins, BrazilUnidade de Ensino Superior do Sul do Maranhão, Imperatriz, BrazilUnidade de Ensino Superior do Sul do Maranhão, Imperatriz, BrazilFederal University of Piaui, Teresina, BrazilUniversity of Sao Paulo, Sao Paulo, BrazilSchool of Public Health in Austin, The University of Texas Health Science Center at Houston, Austin, TX, USAIn this study, we aimed to develop and test the psychometric properties of an online 24-hr movement behavior questionnaire (24 hr-MBQ). We recruited a sample of 195 undergraduate students. We developed a questionnaire based on 19 items extracted from previously validated questionnaires. We conducted reliability and construct validity assessment by classical test theory and structural validity assessment using unsupervised machine learning. In the classic test, we identified seven factors where the explained variance was 66.80% in the exploratory factor analysis, with no item excluded. We identified three clusters using unsupervised machine learning and this structure was able to distinguish differences in physical activity (physically active vs. long sleeper), sedentary behavior (all cluster comparison), and sleep time duration (all cluster comparison). Our findings suggest that the online 24 hr-MBQ is a reliable and structured construct for assessing 24-hr movement behaviors in college students.https://doi.org/10.1177/21582440251338337 |
| spellingShingle | Marcus Vinicius Nascimento-Ferreira Kliver Antonio Marin Lorrane Cristine Conceição da Silva Alaiana Marinho Franco Francisco Leonardo Torres-Leal Heráclito Barbosa Carvalho Augusto César Ferreira De Moraes Development of a 24-Hour Movement Behavior Questionnaire: Reliability and Validity Testing in College Students From Low-Income Regions SAGE Open |
| title | Development of a 24-Hour Movement Behavior Questionnaire: Reliability and Validity Testing in College Students From Low-Income Regions |
| title_full | Development of a 24-Hour Movement Behavior Questionnaire: Reliability and Validity Testing in College Students From Low-Income Regions |
| title_fullStr | Development of a 24-Hour Movement Behavior Questionnaire: Reliability and Validity Testing in College Students From Low-Income Regions |
| title_full_unstemmed | Development of a 24-Hour Movement Behavior Questionnaire: Reliability and Validity Testing in College Students From Low-Income Regions |
| title_short | Development of a 24-Hour Movement Behavior Questionnaire: Reliability and Validity Testing in College Students From Low-Income Regions |
| title_sort | development of a 24 hour movement behavior questionnaire reliability and validity testing in college students from low income regions |
| url | https://doi.org/10.1177/21582440251338337 |
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