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. 2021 Sep 17;70(37):1274–1277. doi: 10.15585/mmwr.mm7037a2

TABLE 3. Predictors associated with having any symptoms (logistic regression) and number of symptoms (quasi-Poisson regression) 2 months after COVID-19 diagnosis (N = 363)* — Long Beach, California, April 1–December 10, 2020.

Characteristic aOR/aIRR (95% CI) P-value
Multivariable logistic regression model of predictors (aOR)
Intercept
0.15 (0.09–0.27)
<0.001
Sex
Female
2.83 (1.74–4.61)
<0.001
At least one preexisting condition
2.17 (1.35–3.5)
0.001
Age group, yrs
18–24
0.66 (0.26–1.66)
0.38
25–39
Ref

40–54
1.86 (1.08–3.21)
0.03
55–64
1.57 (0.73–3.38)
0.24
≥65
1.47 (0.62–3.48)
0.38
Multivariable quasi-Poisson model of predictors (aIRR)
Intercept
0.41 (0.21–0.81)
0.01
Preexisting conditions
1.96 (1.32–2.91)
0.001
Age group, yrs
18–24
0.73 (0.29–1.83)
0.50
25–39
Ref

≥40
1.73 (1.14–2.63)
0.01
Race/Ethnicity
Asian
0.91 (0.41–2.04)
0.82
Black/African American
1.95 (1.02–3.73)
0.04
Hispanic/Latino
0.84 (0.49–1.43)
0.52
Grouped§
1.24 (0.51–3.01)
0.64
White
Ref

Sex
Female 2.13 (1.40–3.25) <0.001

Abbreviations: aIRR = adjusted incidence rate ratio; aOR = adjusted odds ratio; CI = confidence interval; Ref = referent group.

* Analysis excludes one person who identified as nonbinary and two persons with insufficient outcome data.

The intercept represents the expected mean aOR if a person identifies with all referent groups (e.g., in the quasi-Poisson model, the intercept represents the expected mean aOR of White males aged 25–39 years without preexisting conditions).

§ Includes American Indian persons, Alaska Native persons, Asian persons, Native Hawaiian or Other Pacific Islander persons, and persons who did not identify a race.