Table 3 Logistic regression models assessing the association of demographic variables, CTQ, FSIQ, urban birth and risk of schizophrenia.
Step 1 | Step 2 | Step 3 | Step 4 | |
|---|---|---|---|---|
OR (95% CI) | OR (95% CI) | OR (95% CI) | OR (95% CI) | |
Age | 1.41 (1.05, 1.88)* | 1.44 (1.08, 1.93)* | 1.39 (1.02, 1.89)* | 0.95 (0.67, 1.33) |
Sex | 1.46 (0.85, 2.53) | 1.52 (0.88, 2.64) | 1.30 (0.72, 2.35) | 1.38 (0.69, 2.79) |
Education (year) | 0.18 (0.13, 0.27)*** | 0.17 (0.12, 0.26)*** | 0.21 (0.14, 0.32)*** | 0.45 (0.30, 0.69)*** |
BMI | 0.90 (0.68, 1.18) | 0.87 (0.66, 1.45) | 0.91 (0.67, 1.22) | 1.05 (0.73, 1.51) |
Birthplace | – | 1.51 (0.89, 2.56) | 1.51 (0.85, 2.67) | 3.15 (1.54, 6.44)** |
CTQ | – | – | 2.76 (1.98, 3.86)*** | 2.79 (1.92, 4.06)*** |
FSIQ | – | – | – | 0.18 (0.11, 0.28)*** |
Model R2 | 0.310 | 0.314 | 0.388 | 0.490 |
Model R2 change | – | ∆R2 = 0.004 | ∆R2 = 0.074 | ∆R2 = 0.112 |
χ2 = 2.39 | χ2 = 44.998 | χ2 = 72.481 | ||
P = 0.122 | P < 0.001 | P < 0.001 |