Table 2.
Logistic regression results for the impact of the COVID-19 pandemic on unmet healthcare needs
Effect | OR | 95% Wald confidence limits | Pr >Χ2 | |||
Predisposing factor | Sex (ref. man) |
Woman | 1.83 | 1.141 | 2.936 | 0.012 |
Age | 0.975 | 0.953 | 0.997 | 0.028 | ||
Education level (ref. high school or below) |
Some college and above | 0.486 | 0.278 | 0.848 | 0.011 | |
Marital status (ref. no) |
Yes | 1.178 | 0.588 | 2.359 | 0.644 | |
Presence of children (ref. no) |
Yes | 1.004 | 0.459 | 2.196 | 0.992 | |
Occupational cluster (ref. white-collar job) |
Blue-collar job or self-employed | 0.653 | 0.35 | 1.217 | 0.180 | |
Economically inactive population | 0.532 | 0.308 | 0.92 | 0.024 | ||
Need factor | Self-rated health (ref. bad) |
Good | 1.578 | 0.992 | 2.509 | 0.054 |
The number of chronic diseases (ref. absence of chronic diseases) |
1 chronic disease | 2.234 | 1.263 | 3.952 | 0.006 | |
2 or more chronic diseases | 2.341 | 1.081 | 5.067 | 0.031 | ||
Depression (ref. no) |
Yes | 1.042 | 0.583 | 1.861 | 0.890 | |
Negative impact on mental health (ref. no) |
Yes | 2.353 | 1.284 | 4.312 | 0.006 | |
Enabling factor | Income level (ref. less than $1675) |
Above $1675 and less than $2512 | 0.665 | 0.298 | 1.484 | 0.319 |
Above $2512 and less than $4187 | 0.973 | 0.417 | 2.271 | 0.950 | ||
Above $4187 | 0.487 | 0.17 | 1.394 | 0.180 | ||
Income loss (ref. no) |
Yes | 1.047 | 0.666 | 1.646 | 0.843 | |
Perceived susceptibility | 1.178 | 0.869 | 1.598 | 0.291 | ||
Perceived severity | 1.218 | 0.889 | 1.669 | 0.219 | ||
Efficacy belief to borough (ref. low) |
High | 1.358 | 0.864 | 2.136 | 0.185 | |
Fear | 1.432 | 1.017 | 2.017 | 0.040 | ||
Stigma | 0.818 | 0.617 | 1.085 | 0.163 | ||
Social support (ref. no) |
Yes | 0.675 | 0.334 | 1.365 | 0.274 |