Evidence map›Paper›PMID 41107858›Full record

ArticleBMC psychiatry2025

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

Yujia Liao, Xiangyu Deng, Jie Gong, Yao Peng, Xianyong An, Qianyu Zhang, Xuerong Liu, Xiaobing Tian

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Article in BMC psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yujia Liao *Nanchong Psychosomatic Hospital Affiliated With North Sichuan Medical College, Nanchong, 637000, China.
Xiangyu Deng *Counseling Center, China West Normal University, Nanchong, 637000, China.
Jie GongNanchong Psychosomatic Hospital Affiliated With North Sichuan Medical College, Nanchong, 637000, China. Gongjie202208@163.com.
Yao PengNanchong Psychosomatic Hospital Affiliated With North Sichuan Medical College, Nanchong, 637000, China.
Xianyong AnNanchong Psychosomatic Hospital Affiliated With North Sichuan Medical College, Nanchong, 637000, China.
Qianyu ZhangExperimental Research Center for Medical and Psychological Science (ERC-MPS), School of Psychology, Third Military Medical University, Chongqing, 400038, China.
Xuerong LiuExperimental Research Center for Medical and Psychological Science (ERC-MPS), School of Psychology, Third Military Medical University, Chongqing, 400038, China.
Xiaobing TianDepartment of Epidemiology and Public Health Statistics, North Sichuan Medical College, Nanchong, 637000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs 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.

methodsThis 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 Depression Scale (CES-D). Using the NetworkComparisonTest (NCT), the CES-D networks were compared between children from two-parent and single-parent families, as well as between single-father and single-mother families.

resultsIn the depression symptom networks of children from two-parent and single-parent families, Sad (Strength = 1.10) was the most central symptom in two-parent family networks, whereas Not enjoying life (Strength = 1.20) was the most central symptom in single-parent families. Network connections were denser in single-parent families than in two-parent families (global strength: S = 8.50 vs. 8.11, p = 0.02). Restless sleep had higher strength centrality in single-parent families than in two-parent families (strength difference = 0.12, p.

conclusionThese findings provide deeper insights into the structure of depressive symptoms among children from single-parent families. Targeting central symptoms in interventions may offer new strategies for preventing depression in this population.

Indexed as

DepressionSingle ParentSingle-Parent FamilyChildChinaFemaleHumansMaleChildren’s mental healthChinaDepressive symptomsLarge sampleNetwork analysisSingle-parent

Identifiers

PMID41107858
PMCPMC12535102

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