Table 3.
Logistic regression to determine the odds of periodontitis presence by hyperuricemia or SUA in the female population
| Variable | Non-adjusted Model | Model I | Model II | Model III | ||||
|---|---|---|---|---|---|---|---|---|
| OR (95%CI) | P-value | OR (95%CI) | P-value | OR (95%CI) | P-value | OR (95%CI) | P-value | |
| Hyperuricemia | 1.45 (1.21 ~ 1.75) | < 0.001** | 1.03 (0.84 ~ 1.26) | 0.794 | 0.9 (0.73 ~ 1.11) | 0.332 | 0.86 (0.69 ~ 1.07) | 0.169 |
| SUA, mg/dl | 1.14 (1.08 ~ 1.21) | < 0.001** | 1.02 (0.96 ~ 1.08) | 0.524 | 0.97 (0.91 ~ 1.03) | 0.348 | 0.96 (0.9 ~ 1.03) | 0.226 |
| SUA, deciles | ||||||||
| D1(≤ 3.3mg/dl) | 1(Ref) | 1(Ref) | 1(Ref) | 1(Ref) | ||||
| D2(3.4–3.7mg/dl) | 1.25 (0.9 ~ 1.73) | 0.186 | 1.35 (0.94 ~ 1.92) | 0.101 | 1.31 (0.92 ~ 1.87) | 0.139 | 1.34 (0.94 ~ 1.93) | 0.108 |
| D3(3.8–4.0mg/dl) | 1.38 (0.99 ~ 1.91) | 0.055 | 1.47 (1.03 ~ 2.09) | 0.033* | 1.38 (0.97 ~ 1.97) | 0.077 | 1.4 (0.98 ~ 2) | 0.068 |
| D4(4.1–4.3mg/dl) | 1.41 (1.03 ~ 1.94) | 0.033* | 1.44 (1.02 ~ 2.03) | 0.039* | 1.37 (0.97 ~ 1.94) | 0.077 | 1.43 (1 ~ 2.03) | 0.047* |
| D5(4.4–4.6mg/dl) | 1.27 (0.93 ~ 1.74) | 0.133 | 1.25 (0.89 ~ 1.75) | 0.204 | 1.15 (0.82 ~ 1.63) | 0.414 | 1.17 (0.83 ~ 1.66) | 0.373 |
| D6(4.7–4.9mg/dl) | 1.53 (1.11 ~ 2.1) | 0.009** | 1.46 (1.03 ~ 2.07) | 0.032* | 1.31 (0.92 ~ 1.87) | 0.129 | 1.35 (0.95 ~ 1.92) | 0.099 |
| D7(5.0–5.3mg/dl) | 1.42 (1.04 ~ 1.93) | 0.027* | 1.25 (0.9 ~ 1.75) | 0.189 | 1.13 (0.8 ~ 1.59) | 0.48 | 1.16 (0.82 ~ 1.64) | 0.386 |
| D8(5.4–5.7mg/dl) | 1.38 (0.99 ~ 1.91) | 0.056 | 1.09 (0.76 ~ 1.55) | 0.647 | 0.95 (0.66 ~ 1.37) | 0.775 | 0.97 (0.67 ~ 1.41) | 0.891 |
| D9(5.8–6.5mg/dl) | 1.48 (1.08 ~ 2.02) | 0.014* | 1.15 (0.82 ~ 1.62) | 0.411 | 0.96 (0.68 ~ 1.37) | 0.834 | 1.01 (0.71 ~ 1.44) | 0.969 |
| D10(≥ 6.6mg/dl) | 2.28 (1.66 ~ 3.13) | < 0.001** | 1.5 (1.06 ~ 2.13) | 0.021* | 1.19 (0.82 ~ 1.71) | 0.355 | 1.14 (0.78 ~ 1.65) | 0.496 |
1 (Ref) = reference; omitted for collinearity
Abbreviations: D deciles, OR odds ratio, CI confidence interval, SUA serum uric acid
Model I adjusts for age, race/ethnicity, income-poverty ratio (PIR), education and marital status
Model II adjusts for Model I + smoking status, alcohol status, BMI, dietary fiber and total fat
Model III adjusts for Model I + Model II + gout, congestive heart failure, coronary heart disease, angina, stroke, weak/failing kidneys, diabetes, hypertension and dental visit
*p < 0.05; **p < 0.01