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基于跨理论模型的女学生身体活动的决定因素

Determinants of physical activity among female students based on the transtheoretical model.

作者信息

Abdoli Maryam, Tapak Leili, Amini Payam, Geravandi Azam, Moeini Babak, Hamidi Omid, Afshari Maryam

机构信息

Department of Biostatistics, School of Public Health and Student Research Committee, Hamadan University of Medical Sciences, Hamadan, Iran.

Department of Biostatistics, School of Public Health and Modeling of Noncommunicable Diseases Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.

出版信息

Sci Rep. 2025 Jan 9;15(1):1496. doi: 10.1038/s41598-024-83055-6.

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.

摘要

本研究基于跨理论模型(TTM)调查了影响青少年身体活动的因素。该研究对745名年龄在12至16岁之间的个体进行,采用广义线性模型(GLM)方法,并使用经典和贝叶斯框架下的适当连接函数进行分析。结果表明,在模型1中,概率单位连接函数是确定身体活动风险因素的更合适方法。在模型2中,逻辑连接函数是确定身体活动风险因素的更合适方法。此外,本研究强调了戏剧缓解(OR = 1.08;95% CI 1.02,1.14)和自我效能感(OR = 1.06;95% CI 1.02,1.09)与身体活动之间的正相关,以及自我缓解(OR = 0.82;95% CI 0.74,0.90)、反条件作用(OR = 0.85;95% CI 0.79,0.92)、刺激控制(OR = 0.87;95% CI 0.81,0.93)和帮助关系(OR = 0.94;95% CI 0.88,0.99)与女学生身体活动之间的负相关。自我效能感对于预测活动水平至关重要,这表明将身体活动与增强自我效能感相结合的有益干预措施。积极思考和结构化的行为改变过程对于参与身体活动至关重要。

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