Table 4:

Logistic regression results for factors potentially associated with ever testing positive*

FactorNo. of participants
n = 2128
No. (%) of tests positiveAdjusted OR (95% CI)
Age (per 1-yr increase)1.0 (0.98–1.0)
Sex
 Female8089 (1.1)1.0 (reference)
 Male132044 (3.3)2.2 (0.9–5.3)
Self-reported ethnicity
 White9264 (0.4)1.0 (reference)
 Nonwhite120249 (4.1)3.7 (1.4–9.9)
Health factor
 None reported168145 (2.7)1.0 (reference)
 Any reported4478 (1.8)0.7 (0.3–1.5)
Smoking history
 Never smoker166846 (2.8)1.0 (reference)
 Current or previous smoker4607 (1.5)0.7 (0.3–1.5)
Feeling on day of testing
 “Fine, same as any other day”209851 (2.4)1.0 (reference)
 “Not my best today”302 (6.7)3.5 (0.7–16.9)
Previous SARS-CoV-2 test history
 Never tested115542 (3.6)1.0 (reference)
 All test results negative8829 (1.0)0.4 (0.2–0.8)
 Any test result positive912 (2.2)0.7 (0.2–3.0)
Business size, no. of participants
 1–508954 (0.4)1.0 (reference)
 ≥ 51123349 (4.0)7.9 (0.8–75.3)
  • Note: CI = confidence interval, OR = odds ratio.

  • * The model accounts for clustering by business and sector.

  • Models are adjusted for all factors included in the table.

  • Includes hypertension, diabetes, chronic respiratory conditions (e.g., asthma), heart disease or participant-reported condition.