Table 5 Logistic regression for predicting the conversion to psychosis on demographic and factorial variables (n = 532).

From: Antipsychotic prescription, assumption and conversion to psychosis: resolving missing clinical links to optimize prevention through precision

Predictor factor

Beta

S.E.

β

95%CI for β

Wald statistic

P value

Age

−0.041

0.027

0.960

0.911

1.011

2.390

0.122

Gender

−0.291

0.229

0.747

0.477

1.171

1.617

0.203

Education

0.082

0.052

1.085

0.980

1.201

2.472

0.116

Factor-1: Negative symptoms

−0.326

0.110

0.722

0.582

0.895

8.825

0.003

Factor-2: Global functions

−0.333

0.117

0.717

0.570

0.902

8.075

0.004

Factor-3: Disorganized communication and behavior

−0.176

0.099

0.839

0.690

1.019

3.140

0.076

Factor-4: General symptoms

0.260

0.116

1.297

1.034

1.627

5.062

0.024

Factor-5: Odd thoughts

−0.140

0.113

0.870

0.697

1.085

1.530

0.216

Factor-6: Distorted cognition and perception

−0.119

0.114

0.888

0.710

1.111

1.081

0.299

  1. Notes: Beta is the regression coefficient. S.E. is the standard error. 95% CI is the estimated 95% confidence interval for the corresponding parameter. β is the standardized regression coefficient.
  2. p values that are statistically significant are shown in bold.
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