ArticleWorld journal of psychiatry2024
Analysis of risk factors of suicidal ideation in adolescent patients with depression and construction of prediction model.
Article in World journal of psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 3 citations in OpenAlex.
- Distinct effects of current suicidal symptoms and lifetime suicide attempts on C-reactive protein levels and executive function in young people with major affective disorders.European archives of psychiatry and clinical neuroscience · 2026Article
- Thyroid-stimulating hormone, fasting blood glucose and suicidal ideation in Chinese adolescents with major depressive disorder: a cross-sectional study.Frontiers in psychiatry · 2026Article
- Predicting depression risk in middle-aged and elderly adults in China using CNN-BiLSTM-Attention mechanism and LSTM+SHAP framework.BMC psychiatry · 2025Article
- Construction of a Nomogram Prediction Model for Individualized Prediction of the Risk of Non Suicidal Self Injury in Adolescent Depression Patients.Neuropsychiatric disease and treatment · 2025Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMajor depressive disorder is a common mental illness among adolescents and is the largest disease burden in this age group. Most adolescent patients with depression have suicidal ideation (SI); however, few studies have focused on the factors related to SI, and effective predictive models are lacking.
aimTo construct a risk prediction model for SI in adolescent depression and provide a reference assessment tool for prevention.
methodsThe data of 150 adolescent patients with depression at the First People's Hospital of Lianyungang from June 2020 to December 2022 were retrospectively analyzed. Based on whether or not they had SI, they were divided into a SI group (
resultsThere were differences in trauma history, triggers, serum ferritin levels (SF), high-sensitivity C-reactive protein levels (hs-CRP), and high-density lipoprotein (HDL-C) levels between the two groups (
conclusionThe nomogram prediction model based on trauma history, triggers, ferritin, serum hs-CRP, and HDL-C levels can effectively predict the risk of SI in adolescent patients with depression.
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