Table 4 Multivariable multinomial random-effects logistic regression model on the predictors of positive and negative symptom trajectories in controls.
Predictors | Positive symptom trajectories (Ref = Low) | Negative symptom trajectories (Ref = Low) | ||||||
---|---|---|---|---|---|---|---|---|
Moderate | High-decreased | Moderate | High | |||||
OR (95% CI) | P-value | OR (95% CI) | P-value | OR (95% CI) | P-value | OR (95% CI) | P-value | |
Schizophrenia polygenic risk scores | ||||||||
 PRSPT=0.05 | 1.03 (0.90; 1.19) | 0.64 | 0.96 (0.8; 1.16) | 0.69 | 1.01 (0.90; 1.13) | 0.87 | 1.00 (0.88; 1.14) | 0.97 |
Demographic and clinical characteristics | ||||||||
 Age | 0.96 (0.89; 1.02) | 0.20 | 0.91 (0.83; 1.00) | 0.05 |  |  |  |  |
 Ethnicity, non-Caucasian | 2.01 (0.14; 28.05) | 0.60 | 0.84 (0.02; 37.89) | 0.93 |  |  |  |  |
 Premorbid adjustment | 2.68 (0.58; 12.34) | 0.20 | 2.50 (0.4; 15.63) | 0.33 | 2.01 (0.49; 8.24) | 0.33 | 5.10 (1.1; 23.57) | 0.04 |
Psychotic-like experiences (distress) | ||||||||
 Positive symptoms | 1.42 (0.26; 7.68) | 0.68 | 3.25 (0.37; 28.45) | 0.29 | 2.40 (0.52; 11.07) | 0.26 | 5.39 (0.89; 32.75) | 0.07 |
 Negative symptoms | 2.62 (0.36; 19.27) | 0.34 | 2.47 (0.16; 38.45) | 0.52 | 0.62 (0.13; 2.95) | 0.55 | 0.21 (0.03; 1.65) | 0.14 |
 Depressive symptoms | 2.75 (0.44; 17.30) | 0.28 | 4.55 (0.44; 47.14) | 0.20 | 4.65 (0.39; 54.66) | 0.22 | 8.48 (0.62; 116.37) | 0.11 |
Quality of life and functioning | ||||||||
 Health-related quality of life | 0.19 (0.02; 2.20) | 0.18 | 0.04 (0.00; 0.79) | 0.03 | 0.60 (0.09; 3.85) | 0.59 | 0.10 (0.01; 0.86) | 0.04 |