Evidence map›Paper›PMID 40926829›Full record

ArticleAlpha psychiatry2025

Configurations of Family Risk Factors and Mental Health Symptoms Among Grade 4-6 Children in Guangdong, China: A Large-Scale Crisp-Set Qualitative Comparative Analysis Based on a Cumulative Risk Model.

Kaifeng Liu, En Fu, Ziyi Deng, Minrui Zhang, Yongxing Guo, Qiufeng Gao, Ruixiang Gao, Lei Mo

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Article in Alpha 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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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

8 authors.

Kaifeng LiuIntelligence and Command Center, Tianhe District Branch of Guangzhou Public Security Bureau, 510655 Guangzhou, Guangdong, China.
En FuDivision of Behavioral Health Services and Policy Research, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.
Ziyi DengCenter for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, and School of Psychology, South China Normal University, 510631 Guangzhou, Guangdong, China.
Minrui ZhangDepartment of Pediatrics, Guangdong Provincial Hospital of Traditional Chinese Medicine, 510120 Guangzhou, Guangdong, China.
Yongxing GuoDiggMind Psychometric Testing Technology Co., 510660 Guangzhou, Guangdong, China.
Qiufeng GaoDepartment of Sociology, School of Government, Shenzhen University, 518060 Shenzhen, Guangdong, China.
Ruixiang GaoCenter for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, and School of Psychology, South China Normal University, 510631 Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0003-3817-1473
Lei MoCenter for Studies of Psychological Application, Guangdong Key Laboratory of Mental Health and Cognitive Science, and School of Psychology, South China Normal University, 510631 Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0001-8586-7508

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Children's mental health is significantly influenced by family environments, where multiple risks often coexist, exert unequal impacts, and combine in different configurations that can result in diverse developmental outcomes. This study examines how different configurations of cumulative family risks influence mental health symptoms in Chinese children using a novel person-centered approach. Materials and Methods: Data were collected through a large-scale, semester-based comprehensive survey of 34,041 children in Grades 4 to 6 in an economically underdeveloped county-level city in Guangdong, China, during November and December, 2022. Six family risk indicators were examined: incomplete family structure, parent-child separation, financial hardship, low parental education, lack of family intimacy, and family conflict. The Pediatric Symptom Checklist was used to measure children's mental health outcomes, consisting of internalizing problems, externalizing problems, and attention problems. Crisp-set qualitative comparative analysis was applied to identify specific configurations of family risks associated with different mental health outcomes. Results: No single risk factor was found necessary or sufficient to explain mental health outcomes; configurations of multiple risks were more predictive. Externalizing and attention symptoms shared one configuration, which also contributed to internalizing symptoms. Additionally, three distinct configurations were uniquely associated with internalizing symptoms. Only lack of family intimacy and family conflict consistently appeared as detrimental across all configurations. Conclusions: This study reinforces the cumulative risk model and aligns with the concepts of multifinality and equifinality. It emphasizes the importance of monitoring children with coexisting risks and targeted interventions addressing one or two key factors rather than all factors simultaneously. Future research should adopt longitudinal designs and include broader factors.

Indexed as

childfamily characteristicsmental healthqualitative researchrisk factor

Identifiers

PMID40926829
PMCPMC12416049

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