. Author manuscript; available in PMC: 2019 Apr 1.

Published in final edited form as: Eur Child Adolesc Psychiatry. 2018 Jan 24;27(4):513–525. doi: 10.1007/s00787-018-1108-1

Table 5.

Synthesis of analysis results by class

	Conditional probability in latent class of		Satisfies biaxial model?	Classifi- cation according to AICA-S^a	Demographic associations^b	Psychosocial well-being
	Symptoms	Problems	Satisfies biaxial model?	Classifi- cation according to AICA-S^a	Demographic associations^b	YSR competencies	YSR problems
Class name

IGD	High	High	Yes	IGD	Male	4/4 Low^c	High
At-risk	Mod	High	Yes	At-risk	N/A	N/A	N/A
Concerned	Low	Mod-High	No	Non-PG	Age, country	4/4 Low	High
Engaged	Mod	Mod-Low	No	At-risk	Male	1/4 Low	High
Normative	Low	Low	Yes	Non-PG	(Reference)^d	(Reference)	(Reference)

^(a)

AICA-S scored according to Müller et al. (2015) and compared with mean difference testing across classes

^(b)

Results for multivariate analyses

^(c)

Four scores were available for competency domains; 1/4 Low indicates that only one competency was low/impaired. All YSR problem scales and subscales were elevated in all non-normative classes.

^(d)

Normative class was used as the reference class in regressions.

Abbreviations: Mod=Moderate, Non-PG=Non-problematic