Table 5.

Prediction of presence of any axis I disorder by APS requirements and estimation of interaction with age effects

Prediction by APS requirements*	β	SE	Wald (df=1)	p	Exp (β)	95% CI	Omnibus test	Interaction with age effects**	β		SE	Wald (df=1)	p	Exp (β)	95% CI	Omnibus test
Occurrence of APS irrespective of onset/worsening and frequency requirements
Any APS	1.62	0.28	33.16	<0.001	5.03	2.90-8.73	, p<0.001	Any APS × age	No interaction effect
Any perceptive APS	1.48	0.37	15.77	<0.001	4.39	2.12-9.10	, p<0.001	Only perceptive APS × age	No stable model
Any non-perceptive APS	1.50	0.34	19.52	<0.001	4.49	2.31-8.74	, p=0.044	Only non-perceptive APS × age	No interaction effect
Occurrence of APS considering the onset/worsening but not the frequency requirement
Any APS	1.80	0.41	19.29	<0.001	6.07	2.72-13.58	, p<0.001	Any APS × age	0.10		0.02	18.97	<0.001	1.11	1.06-1.16	, p<0.001
Any perceptive APS	1.06	0.61	3.02	0.082	2.89	0.87-9.59	, p=0.108	Only perceptive APS × age	No interaction effect
Any non-perceptive APS	1.86	1.01	3.43	0.064	6.45	0.90-46.32	, p=0.081	Only non-perceptive APS × age	No interaction effect
Occurrence of APS considering the frequency but not the onset/worsening requirement
Any APS	2.08	0.37	31.75	<0.001	7.99	3.88-16.46	, p<0.001	Any APS × age		No interaction effect
Any perceptive APS	1.55	0.60	6.77	0.009	4.72	1.47-15.19	, p=0.016	Only perceptive APS × age		No interaction effect
Any non-perceptive APS	2.14	0.43	25.24	<0.001	8.52	3.69-19.66	, p<0.001	Only non-perceptive APS × age		No interaction effect

^*Binary logistic regression analyses with method “enter”, ^** binary logistic regression analyses with method “backward” and “forward” using the respective requirement and its interaction with age as independent variables. Significant predictors are in bold type

APS – attenuated psychotic symptoms