Thesis

Chapter 7 128 Predictors of exercise adherence Significant moderate to large correlations were found between exercise adherence and education, MRC-score, intention, PBC, attitude, depression, alliance, and exercise history. Significant small correlations were found between exercise adherence and smoking status, and physiotherapy in history (Table 3). Table 3 Significant Spearman’s correlations with exercise adherence Predictor r p Education 0.24 0.00 MRC-score -0.27 0.00 Intention 0.43 0.00 PBC 0.36 0.00 Attitude 0.23 0.00 Depression -0.35 0.00 Alliance 0.37 0.00 Exercise history 0.21 0.00 Smoking status -0.18 0.01 Physiotherapy in history 0.13 0.03 Note: MRC-score: Medical Research Council dyspnea scale as a measure of disability in patients with chronic obstructive pulmonary disease; PBC: Perceived Behavioral Control These ten variables were examined in the stepwise HMRA. With PBC and attitude in the model, only PBC predicted adherence (R2 = 11.4%). After entering intention in the next step, only intention predicted adherence (R2 = 18.0%). In step 3 after entering alliance, both intention and alliance predicted adherence (R2 = 24.8%). After entering disease variables in step 4, the model with intention, alliance, depression and MRC-score, explained variance in exercise adherence better, than with only psychological variables (R2 = 35.6%). Finally, in step 5 the demographic variables were entered: all variables, except smoking status, significantly explained exercise adherence (R2 = 38.4%). Five variables entered the final model, intention, alliance, depression, MRC-score and education, and explained 37.6% (large effect) of variance in exercise adherence (Table 4). Independent predictors of exercise adherence in the final model were: education (b = 1.39; p = 0.01), MRC (b = -1.23; p = 0.001), intention (b = 0.63; p = 0.000), depression (b = -0.53; p = 0.000) and alliance (b = 0.21; p = 0.000).

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