Habibollah Esmaeily1, Nooshin Peyman2, Ali Taghipour1, Fatemeh KHorashadizadeh3, Mehrsadat Mahdizadeh4. 1. Department of Biostatistics and Epidemiology, Health Sciences Research Center, School of Public Health, Mashhad University of Medical Sciences, Mashhad, Iran. 2. Department of Health and Management, Health Sciences Research Center, School of Public Health, Mashhad University of Medical Sciences, Mashhad, Iran. 3. Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran. 4. Department of Health education and promotion, School of Health, Iran University of Medical Sciences, Tehran, Iran. msmahdizadeh@gmail.com.
Abstract
BACKGROUND: Lifestyle-modification programs including physical activity are essential for both treatment and prevention of Type 2 Diabetes Mellitus (T2DM). However, factors associated with physical activity among patients are poorly understood. This study applied Social-Cognitive Theory (SCT) for predicting determinants of physical activity among women with T2DM in Iran, 2013. METHODS: In this cross-sectional study, partial least square path modeling (PLS-PM) was used as an estimation technique for structural equation model. This model specified hypotheses between components of Social-cognitive Theory on physical activity behavior. A random sample of 300 women with T2DM was selected, and completed SCT constructs instrument. Data were analyzed using statistical software WarpPLS Ver. 4.0. RESULTS: The model explained 26% of the variance in physical activity. Self-regulation, task self-efficacy and barrier self-efficacy were significantly direct predictors of physical activity among women with T2DM. Task self-efficacy, social support and modeling had significantly indirect effects on physical activity behavior (P<0.001). CONCLUSIONS: Our findings showed evidence for adequacy of a theoretical framework that could be used to predict physical activity behavior among women with T2DM.
BACKGROUND: Lifestyle-modification programs including physical activity are essential for both treatment and prevention of Type 2 Diabetes Mellitus (T2DM). However, factors associated with physical activity among patients are poorly understood. This study applied Social-Cognitive Theory (SCT) for predicting determinants of physical activity among women with T2DM in Iran, 2013. METHODS: In this cross-sectional study, partial least square path modeling (PLS-PM) was used as an estimation technique for structural equation model. This model specified hypotheses between components of Social-cognitive Theory on physical activity behavior. A random sample of 300 women with T2DM was selected, and completed SCT constructs instrument. Data were analyzed using statistical software WarpPLS Ver. 4.0. RESULTS: The model explained 26% of the variance in physical activity. Self-regulation, task self-efficacy and barrier self-efficacy were significantly direct predictors of physical activity among women with T2DM. Task self-efficacy, social support and modeling had significantly indirect effects on physical activity behavior (P<0.001). CONCLUSIONS: Our findings showed evidence for adequacy of a theoretical framework that could be used to predict physical activity behavior among women with T2DM.
Authors: Yao Zhang; Yi Yin; Jianxiu Liu; Ming Yang; Zeshi Liu; Xindong Ma Journal: Int J Environ Res Public Health Date: 2020-04-27 Impact factor: 3.390