Evidence map›Paper›PMID 39501322›Full record

ArticleChild and adolescent psychiatry and mental health2024

Assessing the contributions of gender, clinical symptoms, and psychometric traits to non-suicidal self-injury behaviors in Chinese adolescents: a nomogram approach.

Guanghui Shen, Cheng-Han Li, Qian-Nan Ruan, Su Xu, Wen-Jing Yan

Abstract read
In one paragraph

Article in Child and adolescent psychiatry and mental health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

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12citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Guanghui Shen *Wenzhou Seventh People's Hospital, Wenzhou, China.
Cheng-Han Li *Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Qian-Nan RuanWenzhou Seventh People's Hospital, Wenzhou, China.
Su XuDepartment of Psychology, School of Education, Wenzhou University, Wenzhou, China. xusu6901@wzu.edu.cn.
Wen-Jing YanWenzhou Key Laboratory of Basic and Translational Research for Mental Disorders, Wenzhou Medical University, Wenzhou, China. yanwj@wmu.edu.cn.

Funding

Medical Science and Technology Project of Zhejiang Province 2023RC273Wenzhou Municipal Science and Technology Bureau Y20210112Wenzhou Municipal Science and Technology Bureau Y20240046
6 · The paper itself

Abstract

backgroundNon-suicidal self-injury (NSSI) behaviors among adolescents with mood disorders represent a significant global public health concern. This study aimed to assess the prevalence and identify key predictors of NSSI behaviors in Chinese adolescents diagnosed with depressive or bipolar disorders, addressing a critical gap in the literature.

methodData from 2343 participants in the Chinese Adolescent Depression Cohort (CADC) were analyzed. The study employed a comprehensive approach, utilizing medical records, clinical assessments, and validated psychometric instruments. Statistical analyses included chi-square tests, logistic regression, and ROC curve analyses, culminating in the development of a predictive nomogram.

resultsThe prevalence of NSSI behaviors was strikingly high at 73.32%. Significant predictors included female gender (AOR = 2.14, 95% CI [1.70, 2.68]), presence of hallucinations (AOR = 1.52, 95% CI [1.18, 1.97]), borderline personality features (AOR = 1.03, 95% CI [1.01, 1.08]), and childhood trauma (AOR = 1.02, 95% CI [1.01, 1.03]). The study's key contribution is a predictive nomogram with an AUC of 0.74, demonstrating good efficacy in predicting NSSI behaviors.

conclusionThis research reveals an alarmingly high prevalence of NSSI behaviors in Chinese adolescents with mood disorders and identifies critical predictors spanning demographic, clinical, and psychometric domains. The developed nomogram offers a novel approach for risk assessment, highlighting the importance of comprehensive evaluations in adolescent mental healthcare. These findings have significant implications for developing targeted interventions and improving risk assessment strategies in clinical practice.

Indexed as

AdolescentsMood disordersNon-suicidal self-injury

Identifiers

PMID39501322
PMCPMC11536789

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