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. 2022 Jun 22;27:97. doi: 10.1186/s40001-022-00727-7

Table 2.

Bivariate analysis of sociodemographic and SARS-CoV-2-specific variables between participants regarding their medication pausing status prior to or after first SARS-CoV-2 immunization, school education levels based on secondary education

Therapy paused (N = 59) n (%) Therapy continued (N = 148) (%) p-value
Gender
 Male 10 (17.5) 50 (34.0) 0.0261
 Female 47 (82.5) 97 (66.0)
Age, years
 Mean (sd) 52.3 (11.1) 51.8 (14.8) 0.7693
  < 40 9 (15.3) 35 (23.8) 0.0192
 40–65 45 (76.3) 82 (55.8)
 > 65 5 (8.5) 30 (20.4)
School education
 Lower 6 (10.7) 10 (7.1) 0.6892
 Middle 15 (26.8) 44 (31.2)
 Upper 36 (62.5) 85 (60.3)
 Other 0 (0) 2 (1.4)
Previous COVID-19 infection
 Yes 1 (1.7) 2 (1.4) 11
First administered vaccine
 BNT162b2 (Pfizer/BioNTech) 36 (65.5) 95 (68.3) 0.8282
 AZD 1222 (AstraZeneca) 12 (21.8) 30 (21.8)
 mRNA-1,273 (Moderna) 7 (12.7) 14 (10.1)
 Good Subjective Health statusa 28 (47.5) 93 (62.8) 0.0601
 Good Quality of Lifea 32 (54.2) 92 (62.2) 0.3461
 PHQ-4D > 5 9 (15.0) 22 (15.3) 11

Data are n (%) or mean (SD)

aRated on a 7-point Likert-scale where participants with the highest three ratings are categorized

1Fisher’s exact test

2Fisher–Freeman–Halton exact test

3Welch’s t-test, bold p-values < 0.05