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

Results (Indonesian) 1:

Bivariate hubungan antara kesejahteraan rohani,QOL subscales, depresi, dan kontrol diabetes (HbA1c)dinilai oleh menghitung Pearson korelasi koefisien. Variabeldipilih untuk dimasukkan ke dalam multiple regresimodel berdasarkan pentingnya teoritis serta signifikansdalam analisis bivariate. Analisis regresi digunakanuntuk menilai peran prediktor 12-item kesejahteraan rohanisubscale FACIT-Sp subdomain (perdamaian, makna, danIman) pada faktor-faktor penentu ofQOL.The fakta-G total nilai dansubdomain yang (PWB, SWB, EWB, dan FWB) dianggap sebagaivariabel dependen [35] dan independen (peramal)variabel (damai, makna, dan iman, PHQ-2 dan HbA1c)masuk dalam blok.Collinearity diagnostik dilakukan melaluifaktor inflasi varians (VIF) untuk masing-masing independenvariabel yang masuk dalam persamaan regresi. VIF > 10dianggap sebagai positif Multikolinearitas [36]. TingkatSignifikans ditetapkan pada