Evidence map›Paper›PMID 42510276›Full record

ArticleBehavioral sciences (Basel, Switzerland)2026

Are Specific Components of Executive Function Associated with the Functions of Non-Suicidal Self-Injury? A Network Analysis of Chinese University Students with Past-Year NSSI.

Bo Tian, Huili Ma, Yang He, Dong Wang, Minghao Man

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 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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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

5 authors.

Bo TianDepartment of Neurosurgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an 710038, China.
Huili MaSchool of Psychology, Shanghai Normal University, Shanghai 200234, China.
Yang HeSchool of Psychology, Shanghai Normal University, Shanghai 200234, China.ORCID 0000-0003-2534-1314
Dong WangDepartment of Geriatric Psychiatry, Suzhou Mental Health Center, Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou 415100, China.
Minghao ManDepartment of Neurosurgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an 710038, China.

Funding

Clinical Disease Diagnosis and Treatment Projects in Suzhou No: LCZX202327Suzhou Science, Education, and Healthcare Strengthening Project No. MSXM2025044
6 · The paper itself

Abstract

Non-suicidal self-injury (NSSI) is a significant public health concern among university students. Accumulating evidence suggests that deficits in executive function (EF) are associated with NSSI; however, little is known about how specific EF components relate to the specific psychological functions that motivate self-injury. This study aimed to investigate the fine-grained associations between EF dimensions and NSSI functions in university students with past-year NSSI using network analysis. Altogether, 1078 Chinese university students (82.6% female; Mage = 19.07, SD = 1.03) who had engaged in at least one NSSI behavior in the past year were enrolled. Executive function was assessed using the Adolescent Executive Function Scale, which measures three dimensions: inhibitory control, cognitive flexibility, and working memory. NSSI functions were assessed using the 19-item function subscale of the Adolescent Non-Suicidal Self-Injury Assessment Questionnaire. A Gaussian graphical model was used to estimate the network. Expected influence (EI) and bridge expected influence (BEI) were computed to identify core nodes and bridge nodes, respectively. Of the 231 possible edges, 117 (50.65%) were non-zero, with the strongest within-community edge linking "coping with sadness and disappointment" (F3) and "expressing despair and hopelessness" (F4). Across communities, the most prominent edge was between "inhibitory control" and "having a desire to harm myself and cannot stop". The three highest EI values were observed for "having a desire to harm myself and cannot stop," "letting others make changes," and "self-punishment". "Inhibitory control" showed the highest BEI in the EF community, while "having a desire to harm myself and cannot stop" showed the highest BEI in the NSSI function community. Both EI and BEI demonstrated excellent stability (CS coefficients = 0.75). In university students with past-year NSSI, inhibitory control and the uncontrollable urge to self-injure function as critical bridge nodes linking executive dysfunction to NSSI functions, while self-punishment and interpersonal influence motives emerge as central drivers in the network. These findings highlight inhibitory control, the uncontrollable urge to self-injure, self-punishment, and interpersonal influence as promising targets for precision interventions aimed at disrupting the maladaptive cycle maintaining NSSI in this population.

Indexed as

executive functionnetwork analysisnon-suicidal self-injuryself-injury functionsuniversity students

Identifiers

PMID42510276
PMCPMC13405853

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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.