The bivariate relationship between

The bivariate relationship between spiritual well-being,
QOL subscales, depression, and diabetes control (HbA1c)was
assessed by calculating Pearson correlation coefficients. Variables
were selected for inclusion in the multiple regression
model based on theoretical importance as well as significance
in bivariate analyses. Multiple regression analysis was used
to assess the predictor role of the 12-item spiritual well-being
subscale of the FACIT-Sp subdomains (peace, meaning, and
Faith) on determinants ofQOL.The FACT-G total scores and
its subdomains (PWB, SWB, EWB, and FWB) considered as
the dependent variables [35] and the independent (predictor)
variables (peace, meaning, and faith, PHQ-2 and HbA1c)
were entered in blocks.
Collinearity diagnostics were performed by means of
the variance inflation factor (VIF) for each independent
variable entered in the regression equations. A VIF > 10
was considered as positive multicollinearity [36]. The level of
significance was set at