Adolescent anxiety and depression: perspectives of network analysis and longitudinal network analysis.

ABSTRACT:

Background

Anxiety and depression often co-occur, exhibiting high comorbidity, with their trends evolving over time. However, the specific pathways through which comorbid symptoms of anxiety and depression evolve and interact remain unclear. To investigate these questions, this study employed Network Analysis (NA) and Longitudinal Network Analysis (LNA) to explore the central symptoms of anxiety and depression, as well as the temporal evolution of these central symptoms.

Methods

The study focused on 606 high school students who were not in their final year in Shandong of China, with assessments conducted from March to September 2022. The bootnet package in R was used for establishing NA and LNA models, as well as for conducting accuracy analysis and node stability analysis.<

SUBMITTER: Liu D 

PROVIDER: S-EPMC11406876 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature