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- Title
A Structural Equation Model to Predict the Social-Cognitive Determinants Related to Physical Activity in Iranian Women with Diabetes Mellitus.
- Authors
Esmaeily, Habibollah; Peyman, Nooshin; Taghipour, Ali; Khorashadizadeh, Fatemeh; Mahdizadeh, Mehrsadat
- 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.
- Subjects
IRAN; TYPE 2 diabetes &; psychology; ACADEMIC medical centers; STATISTICAL correlation; TYPE 2 diabetes; PROGNOSIS; QUESTIONNAIRES; RESEARCH funding; SOCIAL support; LIFESTYLES; CROSS-sectional method; PHYSICAL activity; DATA analysis software; DESCRIPTIVE statistics
- Publication
Journal of Research in Health Sciences, 2014, Vol 14, Issue 4, p296
- ISSN
2228-7795
- Publication type
Article