Table 4 Predictors of CPDI through binary logistics regression
From: Psychological distress in Nepalese residents during COVID-19 pandemic: a community level survey
Exp(B) | 95% C.I. for EXP(B) | p-value | ||
|---|---|---|---|---|
Lower | Upper | |||
Age (in Years) | ||||
< 30a | .562 | |||
30–45 | 1.157 | .456 | 2.932 | .759 |
> 45 | 1.819 | .580 | 5.697 | .305 |
Gender | ||||
Malea | .876 | |||
Female | 1.212 | .583 | 2.523 | .606 |
Other | .000 | 0.000 | 1.000 | |
Religion | ||||
Hinduisma | ||||
Non-Hinduism | .792 | .265 | 2.365 | .677 |
Education | ||||
Less than secondarya | .007 | |||
Post-secondary education | 3.320b | 1.208 | 9.124 | .020 |
Tertiary education | 1.152 | .358 | 3.710 | .813 |
Employment status | ||||
Employmenta | .300 | |||
Non-employment | 1.283 | .496 | 3.322 | .607 |
Student | .237 | .028 | 1.977 | .183 |
Monthly family income | ||||
< NRS 100900a | .865 | |||
> NRS 100900–309,000 | 1.043 | .200 | 5.443 | .960 |
> NRS 309000 | 1.654 | .264 | 10.350 | .591 |
Nationality | ||||
Nepalia | ||||
Non-Nepali | 3.672 | .667 | 20.235 | .135 |
Ethnicity | ||||
Bhramin and Chettria | ||||
Other | .510 | .256 | 1.014 | .055 |
Your State of Residence | ||||
Province 1a | .018 | |||
Province 2 | .882 | .311 | 2.502 | .814 |
Province 3 | .244b | .111 | .539 | .000 |
Province 4 | .000 | 0.000 | .998 | |
Province 5 | .775 | .139 | 4.324 | .772 |
Province 6 | 1.130 | .094 | 13.620 | .923 |
Province 7 | .842 | .139 | 5.098 | .851 |
Are you a healthcare worker? | ||||
Yesa | ||||
No | 1.120 | .515 | 2.434 | .775 |
Constant | .123 | .010 | ||