Hamadan University of Medical Sciences Journal of Research in Health Sciences 2228-7795 14 4 2014 12 15 A Structural Equation Model to predict the Social-Cognitive Determinants related to Physical Activity in Iranian women with Diabetes Mellitus 296 302 EN Habibollah Esmaeily Nooshin Peyman Ali Taghipour Fatemeh KHorashadizadeh Mehrsadat Mahdizadeh Journal Article 2014 03 07 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.