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Table 4 Estimated coefficients of the fitted logistic regression model for increased likelihood of current/recent infection,a before and after backward elimination

From: Seroprevalence of Bordetella pertussis antibodies in adults in Hungary: results of an epidemiological cross-sectional study

Characteristics Saturated model Final model
OR (95% CI) p-value OR (95% CI) p-value
Age 18–29 vs. 45–59 yearsb 0.57 (0.10–3.31) .53 0.58 (0.11–3.24) .54
Age 30–44 vs. 45–59 yearsb 1.21 (0.31–4.74) .79 1.21 (0.32–4.57) .78
Age ≥60 vs. 45–59 yearsb 3.60 (1.06–12.24) .040 2.99 (0.94–9.56) .064
Male vs. female 1.55 (0.65–3.70) .32
Vaccination yes vs. no 2.03 (0.35–11.81) .43
Vaccination unknown vs. no 3.31 (0.71–15.5) .13
Pertussis yes vs. no 0.45 (0.06–3.64) .45
Pertussis unknown vs. no 0.30 (0.08–1.08) .065
Medicationc yes vs. no 1.24 (0.35–4.38) .74
Medicationc unknown vs. no 2.14 (0.25–17.97) .49
Hospitalizationd yes vs. no 0.00 (0.00–NR) .99
Hospitalizationd unknown vs. no 0.00 (0.00–NR) 1.00
Current vs. never smoker 7.08 (2.17–23.16) .0012 7.50 (2.32–24.31) .0008
Former vs. never smoker 4.12 (1.21–14.01) .024 4.07 (1.21–13.64) .023
  1. Abbreviations: CI confidence interval, NR not reported, OD optical density, OR odds ratio, vs. versus
  2. a≥1.0 OD units
  3. bThe age group with the lowest seropositivity was used as the reference
  4. cAny antibiotics and/or other medication (i.e., any cough medicines) for lower respiratory tract infections or (suspected) pertussis infections in the previous 12 months
  5. dHospitalized due to respiratory infections in the previous 12 months