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. 2022 Oct 20;17(10):e0276429. doi: 10.1371/journal.pone.0276429

Table 1. Demographic data at baseline and three months after COVID-19 recovery.

Variables Baseline (N = 153) 3 months (N = 141) P value
Age (mean ± SD) 40.8 ± 10.9 41.0 ± 10.5 0.81
Body mass index (mean ± SD) 25.6 ± 4.4 25.7 ± 4.4 0.88
Marital status 0.98
    • Single 25 (16.3%) 22 (15.6%)
    • Married or couple 125 (81.7%) 116 (82.3%)
    • Separated or divorced 3 (2.0%) 3 (2.1%)
Education 0.88
    • Lower than bachelor’s degree 129 (84.3%) 118 (83.7%)
    • Bachelor’s degree or upper 24 (15.7%) 23 (16.3%)
Medical comorbidities 29 (19%) 28 (19.9%) 0.84
    • Diabetes Mellitus 13 (8.5%) 13 (9.2%) 0.83
    • Hypertension 16 (10.5%) 15 (10.6%) 0.96
    • Hypercholesterolemia 11 (7.2%) 11 (7.8%) 0.84
Substance use
Active alcohol drinking 26 (17.0%) 24 (17.0%) 0.99
Active smoking 57 (37.3%) 51 (36.2%) 0.85
COVID-19 vaccination 50 (32.7%) 48 (34%) 0.80
Severity of COVID-19 0.94
Pneumonia 63 (41.2%) 60 (42.6%)
Pharyngitis 79 (51.6%) 70 (49.6%)
Asymptomatic 11 (7.2%) 11 (7.8%)
COVID-19 treatment
Favipiravir 70 (45.8%) 65 (46.1%) 0.95
Corticosteroids 36 (23.5%) 36 (25.5%) 0.69
Remdesivir 10 (6.5%) 10 (7.1%) 0.85
Tocilizumab 5 (3.3%) 5 (3.5%) 0.90
Oxygen supplement 20 (13.1%) 20 (14.2%) 0.78

Data were shown in counts (%) for categorical variables and mean ± standard deviation (SD) for continuous variables.

P value for unpaired difference between two groups using chi-square test for categorical variables and independent t-test for continuous variables in order to determine the differences between baseline and the follow-up cohorts.