Table 2. Prevalence of pre-existing conditions and service utilization of cases and controls and regression analysis associated with occurrence of post-acute COVID-19, n = 481 989, 2nd quarter 2021.

	Prevalence, %		*Logistic regression ¹**
	Cases	Controls	OR	[95% CI]
*Pre-existing conditions ²**
Hypertension	37.1	34.1	0.90	[0.88; 0.91]
Lipid metabolism disorder	25.2	22.4	0.97	[0.96; 0.99]
Obesity	18.5	12.6	1.39	[1.37; 1.42]
Type 2 diabetes mellitus	12.9	11.8	0.94	[0.92; 0.96]
Back pain	41.4	27.5	1.53	[1.50; 1.55]
Abdominal pain	16.5	11.1	1.30	[1.27; 1.32]
Depression	18.3	13.3	1.05	[1.03; 1.07]
Adjustment disorder	13.1	8.4	1.25	[1.22; 1.28]
Somatoform disorder	18.8	12.2	1.21	[1.19; 1.23]
*Service use according to UVS ³**
Problem-oriented discussion	44.0	26.9	1.96	[1.93; 1.98]
Telephone consultation	14.9	7.3	2.09	[2.05; 2.13]
Rehabilitation prescription	0.6	0.1	6.88	[6.00; 7.90]
Department-specific use (basic flat rate)
Otorhinolaryngology	2.0	8.3	0.20	[0.19; 0.20]
Cardiology	4.7	3.7	1.22	[1.18; 1.26]
Pulmonology	13.1	2.5	5.23	[5.09; 5.38]
Radiology	3.4	5.6	0.53	[0.51; 0.54]

*¹ Odds ratios (OR) and 95% confidence intervals [95% CI] adjusted for age sex, and all (other) pre-existing conditions, including asthma, hay fever, upper respiratory tract infection, and coronary artery disease

*² Coded diagnoses in 2020; Logistic regression model estimates the relationship between the presence of comorbidities and likelihood of treatment due to post-acute COVID-19.

*³ Uniform Value Scale (EBM), used in Q2 20221; logistic regression model estimates the association between the presence of post-acute COVID-19 and the likelihood of use of services.