Table 2.
(a) Using logistic regression models (Outcome: BOP < median vs BOP ≥ median)
| ||
---|---|---|
Independent variable (separate models) | Age adjusted OR (95% CI) | OR (95% CI)† |
Fasting glucose (10 mg/dL)‡ | 1.4 (0.8 –2.3) | 1.5 (0.9 –2.6) |
1-h Glucose (10 mg/dL)§ | 1.1 (1.0 –1.3) | 1.1 (1.0 –1.3)* |
2-h Glucose (10 mg/dL)¶ | 1.1 (0.9 –1.3) | 1.2 (0.8 –1.4) |
IFG (yes/no) | 4.0 (1.0 –16.4) | 5.5 (1.2 –25.3)* |
IGT (1-h) | 3.3 (1.3 –8.8) | 3.7 (1.3 –10.6)* |
IGT (2-h) | 1.2 (0.2 –5.7) | 1.3 (0.2 –7.3) |
Fasting insulin | 1.0 (1.0 – 1.2) | 1.0 (1.0 –1.1) |
HOMA | 1.1 (0.9 –1.4) | 1.2 (0.9 –1.5) |
Prediabetes (yes/no) | 2.1 (0.8 – 8.3) | 3.6 (1.0 –13.2)* |
(b) Using ANCOVA (multiple linear regression or generalized linear model) (Outcome: Percentage of bleeding: continuous form) | ||
---|---|---|
Independent variable (separate models) | Age adjusted least squares means ± SE | Least squares means ± SE† |
Normal (No IFG) | 27.0 ± 2.4 | 26.8 ± 2.3* |
IFG | 43.2 ± 5.9 | 43.8 ± 6.0 |
Normal GT (1-h) | 27.2 ± 2.7 | 27.0 ± 2.7 |
IGT (1-h) | 33.9 ± 4.0 | 34.1 ± 4.1 |
Normal GT (2-h) | 29.4 ± 2.3 | 29.1 ± 2.3 |
IGT (2-h) | 26.8 ± 8.3 | 29.8 ± 8.3 |
Normal insulin: (<14) | 29.5 ± 3.3 | 28.2 ± 3.5 |
High insulin: (≥14) | 29.0 ± 3.1 | 30.1 ± 3.3 |
Normal HOMA (<3) | 30.9 ± 3.3 | 30.1 ± 3.4 |
High HOMA (≥3) | 27.8 ± 3.1 | 28.4 ± 3.2 |
Normal (no IFG, no IGT 2-h) | 27.4 ± 2.5 | 27.0 ± 2.4* |
Prediabetics | 37.7 ± 5.2 | 39.0 ± 5.3 |
P-value ≤ 0.05.
Adjusted for age, sex, smoking status (never, former, current), alcohol consumption (current vs never or former), waist circumference (in category), and number of missing teeth.
Fasting glucose.
1-h glucose.
2-h glucose in 10 mg/dL increments.
ANCOVA, analysis of covariance; BOP, bleeding on probing; CI, confidence interval; GT, glucose tolerance; HOMA, homeostasis model assessment; IFG, impaired fasting glucose; IGT, impaired glucose tolerance; OR, odds ratio; SE, standard error.