Evidence map›Paper›PMID 40713792›Full record

ArticleChild and adolescent psychiatry and mental health2025

Targeting childhood loneliness in china: in silico interventions and moderated network analysis.

Xinle Yu, Xuanzhi Zhang, Kusheng Wu, Zhenqiang Xu, Zhiya Liang, Wanyi Wen, Dinghui Wang, Yanhong Huang

Abstract read
In one paragraph

Article in Child and adolescent psychiatry and mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Xinle YuMental Health Center of Shantou University, Shantou, Guangdong, China.
Xuanzhi ZhangMental Health Center of Shantou University, Shantou, Guangdong, China.
Kusheng WuDepartment of Preventive Medicine, Shantou University Medical College, Shantou, Guangdong, China.
Zhenqiang XuMental Health Center of Shantou University, Shantou, Guangdong, China.
Zhiya LiangSchool of Public Health, Zhaoqing Medical College, Zhaoqing, Guangdong, China.
Wanyi WenThe People's Hospital of Gaoming District of Foshan City, Foshan, Guangdong, China.
Dinghui WangMental Health Center of Shantou University, Shantou, Guangdong, China.
Yanhong HuangMental Health Center of Shantou University, Shantou, Guangdong, China. 12yhhuang@stu.edu.cn.

Funding

Special Fund for Science and Technology of Guangdong Province STKJ202209070Specific Fund for Science and the Technology Innovation Strategy of Guangdong Province 180913154960109
6 · The paper itself

Abstract

backgroundChildhood loneliness is a significant public health concern, particularly in China due to distinct sociocultural contexts. Prior research often overlooks symptom-level interactions, limiting the precision of targeted interventions. This study applied network-based methodologies to clarify the structure of loneliness, identify intervention targets, and examine the roles of psychological factors and family socioeconomic status (SES).

methodsA total of 2,593 school-age children from Shantou, China, were assessed for loneliness, depressive symptoms, anxiety symptoms, ADHD symptoms, perceived social support, hope, and family SES. In silico interventions using the NodeIdentifyR algorithm (NIRA) within an Ising model identified effective targets for prevention and intervention. A Graphical Gaussian Model (GGM) mapped loneliness within a broader psychological context, and a Moderated Network Model (MNM) tested SES influences.

resultsLack of friendship and peer acceptance emerged as key targets for prevention and intervention, respectively. Loneliness functioned as both a central and bridging symptom in the psychological network, closely connected to other psychological variables. Higher SES buffered its associations with depressive symptoms and hope.

conclusionsEarly, peer-focused, and context-sensitive strategies may more effectively support children's well-being. This study is the first to apply network analysis and in silico intervention methods, providing novel perspectives and strategies for the prevention and intervention of childhood loneliness among Chinese children.

Indexed as

Childhood lonelinessFamily socioeconomic statusFriendshipIn silico interventionModerated network analysisPeer acceptance

Identifiers

PMID40713792
PMCPMC12297741

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LicenceCC BY
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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.