Table 4 shows results of a simple linear regression model
and stepwise multiple linear regression models to analyze
the correlation between multiple factors and patients’ self care behavior scale. Variables that significantly correlated
with patient self-care behavior from the correlational analysis were considered as factors for simple linear regression model. (See Table 2). Significant patients’ characteristics (P _ .2) were also considered as factors related to patients’ self-care behavior scale. The results of the simple linear regression model showed that the average of patients’ self-care behavior scale might be significantly correlated with some potential factors (P _ .2). All of the potential factors were included into following stepwise multiple linear regression analysis by controlling age and sex. After controlling for age and sex, stepwise multiple linear regression analysis (see Table 4) indicated that patients’ self-care behavior scale score might be positively correlated with patient age (_ _ 0.24; P _ .048), patients whose spouse was the primary caregiver (_ _ 3.22; P _ .038), total Health Belief scale score (_ _ 0.33;
P _ .003), self-efficacy scale score (_ _ 4.61; P _ .001),
and patients’ total BCKQ score (_ _ 0.41; P _ .006).
However, patients’ self-care behavior scale score may be
negatively correlated with family caregiver total BCKQ
score by 0.13 (P _ .041) and the family caregiver care
behavior scale score by 0.06 (P _ .013). The R2 of the
stepwise multiple linear regression model was 0.316, indicating that 31.6% of variation of patients’ self-care behavior scale score could be predicted by the multiple factors adjusting for patients’ age and sex.