Table 3.
Participants characteristics based on tertiles of dietary inflammatory scores
| Variables | Inflammatory indexes | P-value1 | ||
|---|---|---|---|---|
| Tertile 1 | Tertile 2 | Tertile 3 | ||
| Dietary Inflammatory Index | ||||
| Number | 48 | 49 | 46 | – |
| Age, years | 41 ± 9.87 | 37.8 ± 11.3 | 37.2 ± 11.0 | 0.19 |
| Female, n (%) | 23 (47.9) | 26 (53.1) | 17 (37.0) | 0.28 |
| BMI, kg/m2 | 26.8 ± 2.54 | 24.5 ± 2.96 | 23.6 ± 2.72 | < 0.001 |
| Smokers, n (%) | 10 (20.8) | 6 (12.2) | 6 (13) | 0.44 |
| Education, n (%) | ||||
| < 14 years of formal education | 4 (8.33) | 9 (18.4) | 13 (28.3) | 0.06 |
| Bachelor’s degree | 25 (52.1) | 29 (59.2) | 19 (41.3) | |
| ≥ Master’s degree | 19 (39.6) | 11 (22.4) | 14 (30.4) | |
| Empirically Derived Inflammatory Pattern | ||||
| Number | 48 | 47 | 48 | – |
| Age, years | 38.2 ± 10.3 | 36.9 ± 11.1 | 40.9 ± 10.8 | 0.18 |
| Female, n (%) | 23 (47.9) | 25 (53.2) | 18 (37.5) | 0.30 |
| BMI, kg/m2 | 24.8 ± 3.12 | 24.8 ± 2.69 | 25.4 ± 3.26 | 0.47 |
| Smokers, n (%) | 3 (6.2) | 8 (17) | 11 (22.9) | 0.07 |
| Education, n (%) | ||||
| < 14 years of formal education | 15 (31.2) | 5 (10.6) | 6 (12.5) | 0.05 |
| Bachelor’s degree | 18 (37.5) | 28 (59.6) | 27 (56.2) | |
| ≥ Master’s degree | 15 (31.2) | 14 (29.8) | 15 (31.2) | |
1 ANOVA-test and Chi-square test were used for continuous and categorical variables, respectively