Table 3. Multivariate linear regression analysis among periodontal parameters, MetS, and serum LXA4 levels.
| Dependent variables | MetS | LXA4 | ||
|---|---|---|---|---|
| βa) (95% CI) | P value | βa) (95% CI) | P value | |
| PI | 0.161 (−0.09, 0.53) | 0.167b) | −0.268 (−5.49, −1.31) | 0.002c) |
| GI | 0.209 (−0.01, 0.33) | 0.070b) | −0.165 (−2.33, 0.01) | 0.052c) |
| PD | 0.403 (0.21, 0.69) | 0.000b) | −0.236 (−4.08, −0.81) | 0.004c) |
| CAL | 0.372 (0.26, 1.03) | 0.001b) | −0.248 (−6.53, −1.43) | 0.002c) |
| LXA4 | −0.298 (−0.06, −0.01) | 0.016d) | ||
Bold denotes statistical significance at P<0.05.
MetS: metabolic syndrome, LXA4: lipoxin A4, PI: plaque index, GI: gingival index, PD: probing depth, CAL: clinical attachment level.
a)The standardized β coefficient represents the change in periodontal parameters and LXA4 levels (dependent variables) for each unit increase in the predictor variable (MetS or LXA4); b)Model 1 is adjusted for age and body mass index; c)Model 2 is adjusted for Model 1 + MetS; d)Model 3 is adjusted for Model 1 + periodontal parameters (PI, GI, PD, and CAL).