Network structure of time-varying depressive symptoms through dynamic time warp analysis in late-life depression.

ABSTRACT:

Objectives

Late-life major depressive disorder (MDD) can be conceptualized as a complex dynamic system. However, it is not straightforward how to analyze the covarying depressive symptoms over time in case of sparse panel data. Dynamic time warping (DTW) analysis may yield symptom networks and dimensions both at the patient and group level.

Methods

In the Netherlands Study of Depression in Older People (NESDO) depressive symptoms were assessed every 6 months using the 30-item Inventory of Depressive Symptomatology (IDS) with up to 13 assessments per participant. Our sample consisted of 182 persons, aged ≥ 60 years, with an IDS total score of 26 or higher at baseline. Symptom networks dimensions, and centrality metrics were analyzed using DTW and Distatis analyses.

Results

SUBMITTER: van Zelst DCR 

PROVIDER: S-EPMC9543072 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature