eTable 5. Sensitivity analysis of regression*¹.

	Level	No symptoms vs. any duration			Post-COVID-19 vs. no symptoms or duration <12 weeks
		OR	95% CI	p-value	OR	95% CI	p-value
Age	Continuous	0.988	[0.975; 1.001]	0.070	1.006	[0.999; 1.014]	0.105
Sex	Female	1.556	[1.028; 2.355]	0.037	1.921	[1.529; 2.414]	< 0.001
	Male	Reference			Reference
Educational level*2	Metric	1.356	[1.182; 1.556]	< 0.001	1.112	[1.019; 1.214]	< 0.017
Nursing home resident	Yes	0.145	[0.068; 0.309]	< 0.001	0.156	[0.072; 0.334]	< 0.001
	No	Reference			Reference
SCQ-D	Continuous	1.012	[0.955; 1.073]	0.68	1.110	[1.069; 1.153]	< 0.001
Hospitalized during acute COVID-19	Yes	3.432	[1.587; 7.422]	0.002	1.839	[1.407; 2.404]	< 0.001
	No	Reference			Reference
Need for analgesics during acute COVID-19	Yes	n.d.*3	n.d.*3	n.d.*3	1.528	[1.059; 2.205]	0.024
	No	n.d.*3			Reference

*¹ As sensitivity analysis, binary logistic regression models were calculated by combining two out of three categories that were also used in the multiple ordinal ?logistic regression (1, no symptoms; 2, symptom duration < 12 weeks; 3, symptom duration ≥ 12 weeks) (n = 1459; imputed data set with 500 imputations)

*² Only one parameter was estimated in a linear coding of educational status with six different levels.

*³ The predictor “need for analgesics during acute COVID-19” was excluded from the analysis of no symptoms vs. any duration, because all patients who took analgesics also had symptoms (of any duration).

CI, Confidence interval; n.d., no data; OR, odds ratio; SCQ-D, Self-Administered Comorbidity Questionnaire, German version