Evidence map›Paper›PMID 41764499›Full record

ArticleBMC public health2026

The impact of parental divorce on the comorbidity of depression and social anxiety symptoms in adolescents and young adults: evidence from symptom and Bayesian network analysis.

Xinyuan Zou, Yichao Lv, Shujian Wang, Liang Zhang, Zijuan Ma, Gang Liu, Yanqiang Tao

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Article in BMC public health, 2026. 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xinyuan ZouFaculty of Psychology, Beijing Normal University, Beijing, 100875, China.ORCID http://orcid.org/0009-0008-3952-465X
Yichao LvFaculty of Psychology, Beijing Normal University, Beijing, 100875, China.ORCID http://orcid.org/0000-0002-8300-2479
Shujian WangFaculty of Psychology, Beijing Normal University, Beijing, 100875, China.ORCID http://orcid.org/0000-0003-2462-7468
Liang ZhangCollege Students' Mental Health Education Centre, Northeast Agricultural University, Harbin, 150030, China.ORCID http://orcid.org/0000-0001-6231-8653
Zijuan MaSchool of Psychology, South China Normal University, Guangzhou, 510631, China.ORCID http://orcid.org/0000-0003-2260-1862
Gang LiuDepartment of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, 264 Guangzhou Road, Nanjing, Jiangsu, 210029, China. dliugang@126.com.ORCID http://orcid.org/0000-0002-1712-8970
Yanqiang TaoShanghai Key Laboratory of Mental Health and Psychological Crisis Intervention (ECNU), School of Psychology and Cognitive Science, East China Normal University, 3663 North Zhongshan Road, Shanghai, 200062, China. psyxuele2020@163.com.ORCID http://orcid.org/0000-0003-0301-3985

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDivorce has become a fact for more families and could bring unfavorable outcomes in offspring’s mental health. Yet, the relation between parental divorce and children’s depression and social anxiety remains unclear. The current study, adopting the symptomatic perspective, aims to identify the symptomatic characteristics and developmental trajectories of depression and social anxiety related to parental divorce.

methodsThis study used a convenience sampling method, collecting data from 5,372 college students, and after the filtering process, 3,617 participants (females = 2303 (63.6%), Mean age = 18.8) were left for further analysis. The patient health questionnaire-9 (PHQ-9) and social anxiety scale (SAS) were used. Participants were divided into two groups according to their parents’ marital status. Both groups’ symptomatic network and directed acyclic graph network were constructed.

resultsThe divorced group scored significantly higher on all symptoms except “Concentration” (PHQ7), “Motor” (PHQ8), “Suicide” (PHQ9), and “Anxiety in unfamiliar situation” (SAS2). “Guilt”(PHQ-6) appears to be the most prominent symptomatic feature with the highest bridge expected influence value. The robust triggering relation exists between “Anxiety in unfamiliar situation” and “Anxiety in normal situation” (SAS3), and does not differ between the two groups.

conclusion“Guilt” (PHQ-6) was identified as the symptomatic characteristic related to parental divorce, and the generalization of anxiety from specific situations to unfamiliar situations exists across the two groups. The findings suggest that improving self-esteem and reducing feelings of guilt and shame may help alleviate both depression and social anxiety, especially for adolescents who have experienced parental divorce.

Indexed as

AnxietyDepressionDivorceParentsAdolescentBayes TheoremComorbidityFemaleHumansMaleSurveys and QuestionnairesYoung AdultBayesian modelDepressionNetwork analysisParental divorceSocial anxiety

Identifiers

PMID41764499
PMCPMC13059226

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.