Skip to main content
. 2025 Oct 15;15(10):e104728. doi: 10.1136/bmjopen-2025-104728

Table 4. Regression models predicting HbA1c, self-efficacy and self-management from demographic and clinical characteristics in the overall sample and cluster subgroups.

Univariate linear regression
(p values for individual predictors)
Multiple linear regression
(p values for predictors retained in model)
Adjusted R2 Model p value
HbA1c
 All subject (N=440) Age (p=0.001), age at diagnosis (p<0.001), gender (p=0.052), education level (p=0.05), BMI (p=0.45), treatment regimen (p<0.001), hypertension (p=0.65), dyslipidaemia (p=0.008) Age (p=0.25), age at diagnosis (p=0.23), gender (p=0.16), education level (p=0.03)*, treatment regimen (p<0.001)*, dyslipidaemia (p=0.02)* 0.182 <0.001
 Cluster 1 (n=124) Age (p=0.09), age at diagnosis (p=0.05), gender (p=0.93), education level (p=0.42), BMI (p=0.60), treatment regimen (p<0.001), hypertension (p=0.62), dyslipidaemia (p=0.07) Age (p=0.36), age at diagnosis (p=0.97), treatment regimen (p<0.001)*, dyslipidaemia (p=0.09) 0.153 <0.001
 Cluster 2 (n=136) Age (p=0.099), age at diagnosis (p=0.003), gender (p=0.46), education level (p=0.36), BMI (p=0.82), treatment regimen (p<0.001), hypertension (p=0.38), dyslipidaemia (p=0.69) Age (p=0.95), age at diagnosis (p=0.33), treatment regimen (p<0.001)* 0.177 <0.001
 Cluster 3 (n=135) Age (p=0.08), age at diagnosis (p=0.04), gender (p=0.05), education level (p=0.20), BMI (p=0.35), treatment regimen (p<0.001), hypertension (p=0.40), dyslipidaemia (p=0.004) Age (p=0.39), age at diagnosis (p=0.93), gender (p=0.06), treatment regimen (p<0.001)*, dyslipidaemia (p=0.008)* 0.172 <0.001
 Cluster 4 (n=45) Age (p=0.49), age at diagnosis (p=0.20), gender (p=0.47), education level (p=0.44), BMI (p=0.66), treatment regimen (p=0.16), hypertension (p=0.58), dyslipidaemia (p=0.43)
Self-efficacy
 All subjects (N=440) Gender (p=0.17), education level (p=0.03), BMI (p=0.17), hypertension (p=0.08), dyslipidaemia (p=0.48), microvascular complication (p=0.23) Education level (p=0.02)*, hypertension (p=0.06) 0.014 0.018
 Cluster 1 (n=124) Gender (p=0.62), education level (p=0.62), BMI (p=0.63), hypertension (p=0.67), dyslipidaemia (p=0.66), microvascular complication (p=0.56)
 Cluster 2 (n=136) Gender (p=0.38), education level (p=0.83), BMI (p=0.67), hypertension (p=0.02), dyslipidaemia (p=0.36), microvascular complication (p=0.42) Hypertension (p=0.02)* 0.036 0.015
 Cluster 3 (n=135) Gender (p=0.08), education level (p=0.03), BMI (p=0.10), hypertension (p=0.09), dyslipidaemia (p=0.74), microvascular complication (p=0.65) Gender (p=0.46), education level (p=0.049)*, BMI (p=0.30), hypertension (p=0.17) 0.045 0.040
 Cluster 4 (n=45) Gender (p=0.37), education level (p=0.85), BMI (p=0.79), hypertension (p=0.27), dyslipidaemia (p=0.82), microvascular complication (p=0.19)
Self-management
 All subject (N=440) Age (p=0.03), gender (p=0.099), education level (p=0.79), BMI (p<0.001), age at diagnosis (p=0.03), treatment regimen (p<0.001), hypertension (p=0.83), dyslipidaemia (p=0.03) Age (p=0.21), gender (p=0.34), BMI (p=0.01), age at diagnosis (p=0.59), treatment regimen (p=0.001), dyslipidaemia (p=0.04) 0.058 <0.001
 Cluster1 (n=124) Age (p=0.49), gender (p=0.37), education level (p=0.42), BMI (p=0.21), age at diagnosis (p=0.80), treatment regimen (p=0.27), hypertension (p=0.51), dyslipidaemia (p=0.21)
 Cluster2 (n=136) Age (p=0.27), gender (p=0.28), education level (p=0.03), BMI (p=0.095), age at diagnosis (p=0.59), treatment regimen (p=0.24), hypertension (p=0.43), dyslipidaemia (p=0.97) Education level (p=0.06), BMI (p=0.22), 0.032 0.043
 Cluster3(n=135) Age (p=0.56), gender (p<0.001), education level (p=0.62), BMI (p=0.04), age at diagnosis (p=0.14), treatment regimen (p=0.099), hypertension (p=0.13), dyslipidaemia (p=0.49) Gender (p=0.001), BMI (p=0.47), treatment regimen (p=0.14) 0.097 0.001
 Cluster4 (n=45) Age (p=0.68), gender (p=0.18), education level (p=0.99), BMI (p=0.94), age at diagnosis (p=0.68), treatment regimen (p=0.75), hypertension (p=0.24), dyslipidaemia (p=0.33)
*

The mean difference is significant at the 0.05 level.

BMI, body mass index; HbA1c, glycosylated haemoglobin.