Table 2 Poisson regression analysis to show the effective factors of complaint counts after COVID-19.
From: Long- COVID and general health status in hospitalized COVID-19 survivors
Complaint total | Coefficient | standard error | P-value | 95% lower limit | 95% upper limit |
|---|---|---|---|---|---|
Age | 0.008 | 0.003 | 0.011 | 0.002 | 0.013 |
Sex (male) | − 0.251 | 0.077 | 0.001 | − 0.402 | − 0.100 |
Married | 0.541 | 0.272 | 0.046 | 0.009 | 1.074 |
Educational level (illiterate-base) | |||||
5–9 grade | − 0.426 | 0.136 | 0.002 | − 0.693 | − 0.160 |
9–12 grade | − 0.110 | 0.116 | 0.344 | − 0.338 | 0.118 |
> 12 grade | 0.022 | 0.114 | 0.849 | − 0.201 | 0.245 |
Background disease (No) | 0.147 | 0.057 | 0.010 | 0.036 | 0.259 |
Job status (unemployed-base) | |||||
Employed | − 0.256 | 0.225 | 0.256 | − 0.697 | 0.185 |
Out of labor participation | − 0.111 | 0.226 | 0.623 | − 0.555 | 0.332 |
Constant variable | 1.172 | 0.340 | 0.001 | 0.505 | 1.839 |
Variance Inflation factor (VIF test) = 5.87 | |||||
