Unveiling Transitions in Disease States: Study of Depressive and Anxiety Symptom Networks over Time.

ABSTRACT:

Background

Major depressive disorder (MDD) and anxiety disorders (AD) have high degrees of comorbidity and show great overlap in symptoms. The analysis of covarying depressive- and anxiety symptoms in longitudinal, sparse data panels has received limited attention. Dynamic time warping (DTW) analysis may help to provide new insights into symptom network properties based on diagnostic- and disease-state stability criteria.

Materials and methods

In the Netherlands Study of Depression and Anxiety depressive-, anxiety-, and worry symptoms were assessed four or five times over the course of 9 years using self-report questionnaires. The sample included 1,649 participants at baseline, comprising controls (n = 360), AD patients (n = 158), MDD patients (n = 265),

SUBMITTER: Van Den Noortgate M 

PROVIDER: S-EPMC11918905 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature