Evidence map›Paper›PMID 42116183›Full record

ArticleBMC psychology2026

Symptom networks of internalizing and externalizing problems in children with leukemia: a network analysis and computer-simulated intervention study.

Zilong Ma, Xinyan Guo, Liwen Min, Mengjia Wang, Guo Liu, Ruixing Zhang

Abstract read
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Article in BMC psychology, 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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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Zilong MaSchool of Nursing and Health, Zhengzhou University, No. 100 Science Avenue, Zhengzhou, Henan, 450001, China.
Xinyan GuoSchool of Nursing and Health, Zhengzhou University, No. 100 Science Avenue, Zhengzhou, Henan, 450001, China.
Liwen MinSchool of Nursing and Health, Zhengzhou University, No. 100 Science Avenue, Zhengzhou, Henan, 450001, China.
Mengjia WangSchool of Nursing and Health, Zhengzhou University, No. 100 Science Avenue, Zhengzhou, Henan, 450001, China.
Guo LiuSchool of Nursing and Health, Zhengzhou University, No. 100 Science Avenue, Zhengzhou, Henan, 450001, China.
Ruixing ZhangSchool of Nursing and Health, Zhengzhou University, No. 100 Science Avenue, Zhengzhou, Henan, 450001, China. zhangruixing@zzu.edu.cn.

Funding

National Social Science Fund of China 20BSH110Natural Science Foundation of Henan Province 262300421652
6 · The paper itself

Abstract

backgroundChildren with leukemia commonly experience internalizing and externalizing problems, yet their symptom-level interactions remain unclear. Network analysis provides a framework to examine associations among co-occurring symptoms and to explore potential intervention-relevant targets within a system-level context.

methodsA total of 1,126 children with leukemia in the rehabilitation phase were included. Emotional and behavioral problems were assessed using the parent-reported Strengths and Difficulties Questionnaire (SDQ). Symptom endorsement rates were calculated, and an Ising network model based on binary data was estimated. Central and bridge symptoms were identified using expected influence metrics. Simulation analyses were conducted using the NodeIdentifyR algorithm (NIRA) to model symptom perturbations within the network. These simulation-based perturbations were applied in the overall network and internalizing-externalizing subnetworks to examine system-level responses.

results"Motor fidgeting," "peer victimization," and "low mood" showed the highest centrality, with "motor fidgeting" and "peer victimization" also linking internalizing and externalizing problems. In simulation analyses, simulated alleviation of "impulsivity" was associated with the largest reduction in overall symptom burden (19.71%), whereas simulated aggravation of "motor fidgeting" showed the largest increase (22.76%). Externalizing-to-internalizing simulations showed patterns broadly consistent with the overall network structure. In internalizing-to-externalizing simulations, "low peer acceptance" showed the largest simulated reduction in externalizing symptoms (9.75%), whereas "low mood" showed the largest simulated increase (12.79%).

conclusionsInternalizing and externalizing problems in children with leukemia form an interconnected symptom system. Simulation findings highlight symptom-specific patterns related to impulse control, peer relationships, and emotion regulation, which may inform early psychosocial monitoring and provide a basis for mechanism-informed future intervention strategies in pediatric oncology. These findings should be interpreted as hypothesis-generating evidence derived from cross-sectional data rather than as evidence of causal intervention effects.

Indexed as

LeukemiaProblem BehaviorAdolescentChildComputer SimulationFemaleHumansMaleChildhood leukemiaComputer-simulated interventionExternalizing problemsInternalizing problemsPsycho-OncologySDQSymptom network analysis

Identifiers

PMID42116183
PMCPMC13343831

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