Table 3.
Hierarchical regression analysis for variables predicting stress, depression and anxiety (N = 957).
| Variable | B | SEB | β | R2 |
|---|---|---|---|---|
| Stress | ||||
| Step1 | ||||
| Educational level | 0.156 | 0.033 | 0.156** | 0.10 |
| Gender | 0.126 | 0.044 | 0.089** | |
| Region of residence | 0.103 | 0.040 | 0.079* | |
| Age | – 0.114 | 0.020 | – 0.187** | |
| Step2 | ||||
| Educational level | 0.099 | 0.030 | 0.098** | 0.25 |
| Gender | 0.083 | 0.040 | 0.059* | |
| Region of residence | 0.030 | 0.037 | 0.023* | |
| Age | – 0.118 | 0.018 | – 0.195** | |
| QoL | – 0.402 | 0.028 | – 0.406** | |
| Anxiety | ||||
| Step1 | ||||
| Educational level | 0.164 | 0.034 | 0.158** | 0.08 |
| Gender | 0.100 | 0.046 | 0.068* | |
| Region of residence | 0.164 | 0.042 | 0.123** | |
| Age | – 0.077 | 0.021 | – 0.123** | |
| Step2 | ||||
| Educational level | 0.100 | 0.031 | 0.097** | 0.26 |
| Gender | 0.052 | 0.042 | 0.036* | |
| Region of residence | 0.083 | 0.038 | 0.062* | |
| Age | – 0.082 | 0.019 | – 0.131** | |
| QoL | – 0.442 | 0.029 | – 0.434** | |
| Depression | ||||
| Step1 | ||||
| Educational level | 0.186 | 0.035 | 0.173** | 0.10 |
| Gender | 0.144 | 0.047 | 0.095** | |
| Region of residence | 0.145 | 0.043 | 0.104** | |
| Age | – 0.102 | 0.021 | – 0.158** | |
| Step2 | ||||
| Educational level | 0.120 | 0.032 | 0.112** | 0.28 |
| Gender | 0.095 | 0.042 | 0.063* | |
| Region of residence | 0.061 | 0.039 | 0.044* | |
| Age | – 0.108 | 0.019 | – 0.166** | |
| QoL | – 0.459 | 0.030 | – 0.435** | |
** P < 0.01;, *p < 0.05.