A Structural Equation Model to predict the Social-Cognitive Determinants related to Physical Activity in Iranian women with Diabetes Mellitus

Habibollah Esmaeily, Nooshin Peyman, Ali Taghipour, Fatemeh KHorashadizadeh, Mehrsadat Mahdizadeh


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.


Physical Activity; Diabetes Mellitus; Psychosocial Factors; Cognitive; Model

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