Determinants of physical activity among female students based on the transtheoretical model
Abstract This study investigates factors influencing physical activity based on the Transtheoretical model (TTM) among adolescents. This study was conducted on 745 individuals between the ages of 12 and 16 years and was analyzed using a generalized linear model (GLM) approach with appropriate link f...
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2025-01-01
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Online Access: | https://doi.org/10.1038/s41598-024-83055-6 |
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author | Maryam Abdoli Leili Tapak Payam Amini Azam Geravandi Babak Moeini Omid Hamidi Maryam Afshari |
author_facet | Maryam Abdoli Leili Tapak Payam Amini Azam Geravandi Babak Moeini Omid Hamidi Maryam Afshari |
author_sort | Maryam Abdoli |
collection | DOAJ |
description | Abstract This study investigates factors influencing physical activity based on the Transtheoretical model (TTM) among adolescents. This study was conducted on 745 individuals between the ages of 12 and 16 years and was analyzed using a generalized linear model (GLM) approach with appropriate link functions using both classical and Bayesian frameworks. The results show that in model 1, the probit link function is a more appropriate approach to determine the risk factors for physical activity. In model 2, the logit link function is a more appropriate approach to determine the risk factors for physical activity. In addition, this study highlights a positive association between theatrical relief (OR = 1.08; 95% CI 1.02,1.14) and self-efficacy (OR = 1.06; 95% CI 1.02,1.09) for physical activity, and a negative association between self-relief (OR = 0.82; 95% CI 0.74,0.90), counter-conditioning (OR = 0.85; 95% CI 0.79,0.92), stimulus control (OR = 0.87; 95% CI 0.81,0.93) and helping relationships (OR = 0.94; 95% CI 0.88,0.99) with physical activity among female students. Self-efficacy is crucial for predicting activity levels, suggesting beneficial interventions that combine physical activity with self-efficacy enhancement. Positive thinking and a structured behavior change process are essential for physical activity engagement. |
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institution | Kabale University |
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language | English |
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spelling | doaj-art-95a80448b58c4e319b0b8eb977f52dec2025-01-12T12:16:08ZengNature PortfolioScientific Reports2045-23222025-01-011511810.1038/s41598-024-83055-6Determinants of physical activity among female students based on the transtheoretical modelMaryam Abdoli0Leili Tapak1Payam Amini2Azam Geravandi3Babak Moeini4Omid Hamidi5Maryam Afshari6Department of Biostatistics, School of Public Health and Student Research Committee, Hamadan University of Medical SciencesDepartment of Biostatistics, School of Public Health and Modeling of Noncommunicable Diseases Research Center, Hamadan University of Medical SciencesSchool of Medicine, Keele UniversityDepartment of Public Health, School of Public Health, Hamadan University of Medical SciencesDepartmen of Health Education, Health Sciences Research Center, Hamadan University of Medical SciencesDepartment of Science, Hamedan University of TechnologySocial Determinants of Health Research Center, Hamadan University of Medical SciencesAbstract This study investigates factors influencing physical activity based on the Transtheoretical model (TTM) among adolescents. This study was conducted on 745 individuals between the ages of 12 and 16 years and was analyzed using a generalized linear model (GLM) approach with appropriate link functions using both classical and Bayesian frameworks. The results show that in model 1, the probit link function is a more appropriate approach to determine the risk factors for physical activity. In model 2, the logit link function is a more appropriate approach to determine the risk factors for physical activity. In addition, this study highlights a positive association between theatrical relief (OR = 1.08; 95% CI 1.02,1.14) and self-efficacy (OR = 1.06; 95% CI 1.02,1.09) for physical activity, and a negative association between self-relief (OR = 0.82; 95% CI 0.74,0.90), counter-conditioning (OR = 0.85; 95% CI 0.79,0.92), stimulus control (OR = 0.87; 95% CI 0.81,0.93) and helping relationships (OR = 0.94; 95% CI 0.88,0.99) with physical activity among female students. Self-efficacy is crucial for predicting activity levels, suggesting beneficial interventions that combine physical activity with self-efficacy enhancement. Positive thinking and a structured behavior change process are essential for physical activity engagement.https://doi.org/10.1038/s41598-024-83055-6Physical activityTranstheoretical modelOrdinal logistic regressionLink functionDeviance information criterion |
spellingShingle | Maryam Abdoli Leili Tapak Payam Amini Azam Geravandi Babak Moeini Omid Hamidi Maryam Afshari Determinants of physical activity among female students based on the transtheoretical model Scientific Reports Physical activity Transtheoretical model Ordinal logistic regression Link function Deviance information criterion |
title | Determinants of physical activity among female students based on the transtheoretical model |
title_full | Determinants of physical activity among female students based on the transtheoretical model |
title_fullStr | Determinants of physical activity among female students based on the transtheoretical model |
title_full_unstemmed | Determinants of physical activity among female students based on the transtheoretical model |
title_short | Determinants of physical activity among female students based on the transtheoretical model |
title_sort | determinants of physical activity among female students based on the transtheoretical model |
topic | Physical activity Transtheoretical model Ordinal logistic regression Link function Deviance information criterion |
url | https://doi.org/10.1038/s41598-024-83055-6 |
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