A large-sample (N = 49,109) network analysis of depressive symptoms in children from single-parent and two-parent families.

ABSTRACT:

Background

As the number of single-parent families continues to rise, concerns about the mental health of children in these families have grown. Network theory offers a novel approach to understanding and intervening in cases of depression by examining the interconnections among depressive symptoms. This study aims to explore the differences in depressive symptom networks between children from two-parent and single-parent families at the symptom level using network analysis.

Methods

This study was conducted from September to October 2022 in Nanchong, Sichuan Province, China. The survey data were collected from 49,109 upper elementary school students as part of a universal screening program. Depressive symptoms were assessed using the Center for Epidemiological Studies Depres

SUBMITTER: Liao Y 

PROVIDER: S-EPMC12535102 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature