Table 3.

Univariable and multivariable binary logistic regression analysis of predictors of self-reported long COVID symptoms (one or more symptoms at last follow-up^b).

		Univariable logistic regression		Multivariable logistic regression
		Odds ratio (95% CI)	P-value	Adjusted odds ratioa (95% CI)	P-value
Sex
	Men	Ref
	Women	1.55 (0.83-2.89)	0.17
Age		1.02 (1.00-1.04)	0.03	1.00 (0.98-1.02)	0.82
Age groups
	0-17	Ref
	18-34	1.3 (0.41-1.11)	0.66
	35-49	1.78 (0.51-6.21)	0.37
	50-66	2.21 (0.65-7.47)	0.20
	67+	3.71 (0.90-15.26)	0.07
Smoking status
	Never	Ref		Ref
	Ever	2.29 (1.21-4.32)	0.01	1.74 (0.85-3.56)	0.13
Self-reported chronic disease
	No	Ref
	Yes	1.77 (0-92-3.39)	0.09
Hospitalized during illness
	No	Ref
	Yes	8.23 (0.39-72.05)	0.06
Self-reported daily medication use
	No	Ref		Ref
	Yes	2.35 (1.18-4.70)	0.02	2.34 (1.02-5.37)	0.05
BMI groups
	≤25	Ref
	> 25	2.08 (0.97-4.46)	0.06
Days from onset to last follow-up		1.00 (0.99-1.02)	0.4
Number of symptoms at baseline		1.11 (1.02-1.21)	0.02	1.08 (0.99-1.18)	0.1

BMI, body mass index; CI, confidence interval; Ref, reference.

^aVariables which give a P-value less than 0.05 in univariable analysis were added to the multivariable model.

^bOnly including those with follow-up more than 3 months after acute illness.