Construction of a Nomogram Prediction Model for Individualized Prediction of the Risk of Non Suicidal Self Injury in Adolescent Depression Patients

Disease course, severity of depression, childhood abuse, dysfunctional family environment during childhood, experiences of school bullying, sleep disorders, and Barratt Impulsiveness Scale scores were identified as influencing factors for NSSI in adolescents with depression. Based on these factors, a nomogram model was constructed, which showed good predictive consistency and high clinical applicability. This model can assist clinicians in identifying high-risk individuals for early prevention. Although the model may help guide interventions to reduce the incidence of NSSI, further validation through rigorously designed implementation studies is still required.

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Publication Details

Journal
Neuropsychiatric Disease and Treatment
Published
2025-12-01
DOI
https://doi.org/10.2147/ndt.s549935
Primary Topic
Suicide and Self-Harm Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Construction of a Nomogram Prediction Model for Individualized Prediction of the Risk of Non Suicidal Self Injury in Adolescent Depression Patients

Fenfang Lei, Lin Zeng, Qingyan Zhao, Sui-yu Hu
Neuropsychiatric Disease and Treatment
Suicide and Self-Harm Studies
article

Construction of a Nomogram Prediction Model for Individualized Prediction of the Risk of Non Suicidal Self Injury in Adolescent Depression Patients

Fenfang Lei, Lin Zeng, Qingyan Zhao, Sui-yu Hu
article en

Abstract

Disease course, severity of depression, childhood abuse, dysfunctional family environment during childhood, experiences of school bullying, sleep disorders, and Barratt Impulsiveness Scale scores were identified as influencing factors for NSSI in adolescents with depression. Based on these factors, a nomogram model was constructed, which showed good predictive consistency and high clinical applicability. This model can assist clinicians in identifying high-risk individuals for early prevention. Although the model may help guide interventions to reduce the incidence of NSSI, further validation through rigorously designed implementation studies is still required.

Neuropsychiatric Disease and TreatmentVol. Volume 21
Shaoyang University (CN), The Central Hospital of Shaoyang (CN)
Natural Science Foundation of Hunan Province
Openalex Percentile: Top 50%
Suicide and Self-Harm Studies
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