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. 2022 Aug 4;17(8):e0271310. doi: 10.1371/journal.pone.0271310

Table 3. Associations of chronic fatigue after COVID-19.

Variable Chronic fatigue
No Yes Crude OR (95% CI) P-value Adjusted OR (95% CI) P-value
Freq (%) Freq (%)
Age (yr)
    18–49 230 (87.8%) 32 (12.2%) 1.00 [ref] 1.00 [ref]
    50–69 97 (89.8%) 11 (10.2%) 0.82 (0.40–1.68) 0.580 0.84 (0.34–2.06) 0.703
     ≥70 19 (95.0%) 1 (5.0%) 0.38 (0.05–2.92) 0.352 0.97 (0.11–8.56) 0.978
Sex
     Male 191 (92.7%) 15 (7.3%) 1.00 [ref] 1.00 [ref]
    Female 155 (84.2%) 29 (15.8%) 2.38 (1.23–4.60) 0.010 2.45 (1.05–5.69) 0.037
Ever smoked cigarette
     No 280 (88.3%) 37 (11.7%) 1.00 [ref] 1.00 [ref]
    Yes 52 (88.1%) 7 (11.9%) 1.02 (0.43–2.41) 0.966 2.15 (0.75–6.19) 0.156
Household size
    1–5 161 (91.5%) 15 (8.5%) 1.00 [ref] 1.00 [ref]
    ≥6 184 (86.4%) 29 (13.6%) 1.69 (0.88–3.27) 0.118 1.77 (0.78–4.01) 0.170
Household sick contact
    No 49 (94.2%) 3 (5.8%) 1.00 [ref] 1.00 [ref]
    Yes 251 (87.5%) 36 (12.5%) 2.34 (0.69–7.91) 0.170 1.74 (0.50–6.07) 0.388

Bivariable logistic regression models were constructed with fatigue (yes vs. no) as the dependent variable and age, sex, household size, and household sick contacts as the independent variables. Crude odds ratios (OR) and 95% confidence intervals (CI) were estimated. Multivariable regression model-1 included all variables from the bivariable models. Adjusted OR and 95% CI were estimated. Bold indicates statistical significance (P<0.05).