Table 5. Demographic and occupational factors associated with depression identified from multiple linear regression model.
Demographic variables | Coefficient, β | 95% CI |
---|---|---|
Educational level | ||
Diploma degree | -1.323** | -2.149 to -0.497 |
Bachelor’s degree | -1.327** | -2.131 to -0.523 |
Master’s degree or above | ||
Monthly salary | ||
<21,000 BDT | ||
21,000–29,999 BDT | -0.333 | -1.300 to 0.634 |
≥30,000 BDT | -0.333 | -1.355 to 0.689 |
Occupational variables | ||
Type of job | ||
Government | ||
Private | 0.183 | -0.794 to 1.160 |
Weekly working hours | ||
≤36 hours | ||
37–48 hours | 0.145 | -0.482 to 0.772 |
>48 hours | 1.490** | 0.511 to 2.470 |
Years of experience | ||
<3 years | ||
3–5 years | -0.257 | -1.009 to 0.495 |
≥6 years | -0.121 | -1.013 to 0.770 |
Had sufficient equipment to manage patients | ||
Yes | ||
No | 0.186 | -0.450 to 0.821 |
Timely payment of salary | ||
Yes | ||
No | 2.136*** | 1.138 to 3.134 |
Got rewards for good job performance | ||
Yes | ||
No | 1.862*** | 1.117 to 2.607 |
Had training to tackle WPV | ||
Yes | ||
No | 0.895* | 0.092 to 1.698 |
* p < 0.05
** p < 0.01
*** p < 0.001