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Table 3 Long COVID symptoms at month 6 by vaccination status: observed and model-based estimates

From: Impact of COVID-19 and effects of booster vaccination with BNT162b2 on six-month long COVID symptoms, quality of life, work productivity and activity impairment during Omicron

 

Descriptive statistics

Observed

Logistic regression

Odds ratio (95% CI)

P value

Odds ratio (95% CI)

P value

Base Case: ≥ 3 symptoms

 Boosted vs Unvaccinated

10 (14.9%) versus 54 (44.6%)

0.22 (0.10, 0.47)

 < 0.001

0.36 (0.15, 0.87)

0.019

 Primed vs. Unvaccinated

27 (37.5%) versus 54 (44.6%)

0.74 (0.41, 1.35)

0.332

0.60 (0.27, 1.34)

0.296

 Boosted vs Primed

10 (14.9%) versus 27 (37.5%)

0.29 (0.13, 0.67)

0.003

0.59 (0.21, 1.65)

0.459

Sensitivity: ≥ 2 symptoms

 Boosted vs Unvaccinated

14 (20.9%) versus 66 (54.5%)

0.22 (0.11, 0.44)

 < 0.001

0.30 (0.13, 0.70)

0.003

 Primed vs. Unvaccinated

35 (48.6%) versus 66 (54.5%)

0.79 (0.44, 1.41)

0.425

0.64 (0.30, 1.39)

0.370

 Boosted vs Primed

14 (20.9%) versus 35 (48.6%)

0.28 (0.13, 0.59)

0.001

0.46 (0.18, 1.20)

0.140

  1. Note for logistic regression model: the logistic regression model for number of post-COVID ≥ 3 versus < 3 used GEE estimation with unstructured correlation matrix. Covariates were variables for time, vaccination status and interaction of time by vaccination status, as well as covariates of participant pre-COVID-19 symptom onset score, sociodemographic characteristics (age, sex, regions, social vulnerability, race/ethnicity, high risk occupations), previously tested positive for COVID-19, severity of acute illness (number of symptoms reported on index date), and immunocompromised status