Prediction of small molecule behavior In a hierarchical regression for predicting behavior, intention, instrumental and affective attitude, subjective norm and PBC were entered on step one (table 4). A part (15.7%) of the selleck chem variance in physical activity

behavior was explained by these TPB variables. Instrumental attitude (B=4.79, P<0.0001) had a significant beta weight in the regression. Intention, PBC, affected attitude and subjective norms were non-significant. Self-efficacy entered in step two of the regression (table 4) accounted for an additional Inhibitors,research,lifescience,medical 5.6% of the variance in behavior, and had a significant beta weight (B=3.853, P<0.005). Instrumental attitude (B=2.623, P<0.037) remained significant in the regression equation in Inhibitors,research,lifescience,medical step 2. Table 4 Hierarchical multiple regression analysis to predict behavior first from the theory of planned behavior variables and then from Self-efficacy (n=120) In the

reverse regression, self-efficacy was entered in step one of the regression (table 5). Self-efficacy explained 18.3% of the variance in physical activity behavior and had a significant beta weight Inhibitors,research,lifescience,medical (B=0.428, P<0.0001). Subjective norm, instrumental and affective attitude, intention and PBC were entered on step two (table 5). Instrumental attitude had a significant beta weight in the regression equation (B=2.623, P<0.037), and explained an additional of 3.0%. Affective attitude, subjective norm, PBC and intention were non-significant. Self-efficacy Inhibitors,research,lifescience,medical (B=3.853, P<0.005) remained significant in the second step of the regression equation. A total of 21.3% of the variance in physical activity behavior was explained by all variables. Table 5 Hierarchical multiple regression analysis to predict behavior first from self-efficacy and then from the theory of planned behavior variables (n=120) Discussion There have been a few studies that have used the TPB to explain physical activity in a general

population of older adults (>60 years of age), but results are varied.12 The present study of the physical activity in an older adult population nursing home resident showed that the TPB model that included self-efficacy explained more variance Inhibitors,research,lifescience,medical in physical activity intention and behavior than did the TPB alone. According to our step wise regression data (table 2-​-5),5), variables of the TPB predicted 32.8% of variance in the physical activity intention in older adult. This was marginally lower Anacetrapib than the value of 44.5% reported by Hagger et al.27 A combination of TPB variables and self-efficacy explained a higher percentage (35.6%) of the variance in physical activity intention. While TPB alone explained 15.7% of variance in behavior physical activity, a combination with self-efficacy explained 21.3% of it. Affective attitude and self-efficacy were the significant predictors of intention to physical activity. Instrumental attitude and self-efficacy were the significant predictors of physical activity behavior.