A computational network perspective on pediatric anxiety symptoms.

ABSTRACT:

Background

While taxonomy segregates anxiety symptoms into diagnoses, patients typically present with multiple diagnoses; this poses major challenges, particularly for youth, where mixed presentation is particularly common. Anxiety comorbidity could reflect multivariate, cross-domain interactions insufficiently emphasized in current taxonomy. We utilize network analytic approaches that model these interactions by characterizing pediatric anxiety as involving distinct, inter-connected, symptom domains. Quantifying this network structure could inform views of pediatric anxiety that shape clinical practice and research.

Methods

Participants were 4964 youths (ages 5-17 years) from seven international sites. Participants completed standard symptom inventory assessing severity alo

SUBMITTER: Abend R 

PROVIDER: S-EPMC8486314 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature