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. 2021 Aug 26;11(8):e045845. doi: 10.1136/bmjopen-2020-045845

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