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. 2023 Aug 4;2:1230346. doi: 10.3389/frcha.2023.1230346

Table 2.

Cross-sectional logistic regression analysis predicting a participant's membership of the CPSS risk group (and thus being at high risk of developing psychosis in the future)a,b.

B SE p OR 95% CI for OR
Lower Upper
Sex (male = 0, female = 1) .387 .367 .292 1.473 .717 3.025
Age .107 .060 .072 1.113 .990 1.251
Winter birth .835 .345 .016* 2.304 1.171 4.533
Withdrawal .243 .185 .189 1.275 .887 1.833
Bullying −.018 .241 .941 .982 .613 1.575
Maltreatment −2.057 .914 .024* .128 .021 .767
Physical chief complaintc −.541 .460 .240 .582 .236 1.434
Neurodevelopmental disorders −.024 .479 .960 .976 .382 2.495
SSDs 3.639 1.138 .001** 38.052 4.090 354.041
Depressive disorders −.129 .517 .804 .879 .319 2.424
Anxiety disorders .683 .651 .295 1.979 .552 7.095
Somatic symptom disorders −1.045 .832 .209 .352 .069 1.796

CPSS, Child Psychosis-risk Screening System; SSDs, schizophrenia spectrum disorders.

a

Logistic regression model statistics: Cox–Snell R2 = 0.163, Nagelkerke R2 = 0.265. The goodness-of-fit test of Hosmer and Lemeshow: χ2 = 6.100, df = 8, p = 0.636. Discrimination accuracy = 84.2%.

b

Duplicate diagnoses are present.

c

This variable represents the main complaint of a participant being physical (and not non-physical) in nature.

*

p < 0.05.

**

p < 0.01.