Table 5.
Multiple Logistic Regression Analysis of the Association of Demographic Characteristics with Participants’ Scores in Relation to Practicing the Staying Home Strategy
| Variables | β | p-value | OR Confidence Interval (95%) | |
|---|---|---|---|---|
| Lower Bound | Upper Bound | |||
| Gender (female) | 0.969 | <0.001 a | 0.89 | 1.047 |
| Age (38–47 years) | 0.108 | 0.016 a | 0.02 | 0.197 |
| Age (Above 47) | 0.316 | <0.001 a | 0.189 | 0.443 |
| Education (Master or PhD) | 0.19 | 0.002 a | 0.072 | 0.307 |
| Income (3000–5999 SR) | −0.175 | 0.001 a | −0.276 | −0.074 |
| Employment (Employed) | −0.438 | <0.001 a | −0.521 | −0.355 |
| Employment (Entrepreneur) | −0.561 | 0.006 a | −0.963 | −0.159 |
| Employment (Retired) | −0.237 | 0.011 a | −0.421 | −0.054 |
| Region (South) | −0.18 | 0.018 a | −0.328 | −0.031 |
| Region (North) | −0.302 | <0.001 a | −0.405 | −0.199 |
| Constant | 2.775 | <0.001 a | ||
Notes: β slope of the regression line, negative slope indicates negative correlation between two variable and vice versa; aStatistical significance (p <0.05).