Mapping network connectivity between internet addiction and residual depressive symptoms in patients with depression.

ABSTRACT:

Background and aims

Depression often triggers addictive behaviors such as Internet addiction. In this network analysis study, we assessed the association between Internet addiction and residual depressive symptoms in patients suffering from clinically stable recurrent depressive disorder (depression hereafter).

Materials and methods

In total, 1,267 depressed patients were included. Internet addiction and residual depressive symptoms were measured using the Internet Addiction Test (IAT) and the two-item Patient Health Questionnaire (PHQ-2), respectively. Central symptoms and bridge symptoms were identified via centrality indices. Network stability was examined using the case-dropping procedure.

Results

The prevalence of IA within this sample was 27.2% (95% CI: 24.7-29.

SUBMITTER: Cai H 

PROVIDER: S-EPMC9638086 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature