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. 2021 Oct 3;26(2):2187–2195. doi: 10.1007/s00784-021-04201-2

Table 2.

Multiple binary logistic regression model between HIV-1 infection (exposure) and bleeding on probing (BOP) ≥ 10% (outcome) adjusted for potential confounders (age, gender, VSB, and smoking) (R2 = 0.430)

Predictor variables BOP ≥ 10% Total (n = 205) β SE p aOR 95% CI
No (n = 74) Yes (n = 131)
Age1
  18–35 37 (50.7) 30 (23.4) 67 (33.3) 1
  36–50 29 (39.7) 76 (59.4) 105 (52.2) 1.75 0.426  < 0.0001 5.73 2.49–13.20
   > 50 7 (9.6) 22 (17.2) 29 (14.5) 1.84 0.601 0.002 6.29 1.94–20.42
Gender
  Male 32 (43.2) 75 (57.3) 107 (52.2) 1
  Female 42 (56.8) 56 (42.7) 98 (47.8) -0.05 0.374 0.887 0.95 0.46–1.97
VSB2
   < 10% 30 (41.1) 8 (6.1) 38 (18.6) 1
   ≥ 10% 43 (58.9) 123 (93.9) 166 (81.4) 3.17 0.550  < 0.0001 23.68 8.07–69.53
Smoking (≥ 1 cigarette by day)3
  Yes 20 (27.8) 49 (38.9) 69 (34.8) 1
  No 52 (72.2) 77 (61.1) 129 (65.2) 0.01 0.403 0.976 1.01 0.46–2.23
HIV-1 infection2
  Yes 17 (23.0) 57 (43.5) 74 (36.1) 1.71 0.460  < 0.0001 5.53 2.45–13.64
  No 57 (77.0) 74 (56.5) 131 (63.9) 1

β regression coefficient, aOR adjusted odds ratio, SE standard error, VSB visible supragingival biofilm.

1Data refers to 201 patients.

2Data refers to 198 patients.

3Data refers to 205 patients.