Evidence map›Paper›PMID 41257605›Full record

ArticleBMC psychiatry2025

Development and validation of a brief entrapment scale for adolescents with depression: psychometric evaluation and suicide risk prediction.

Yongchao Lin, Xin Chen, Jialin Lin, Weicui Tian, Meiling Liao, Fajie Huang

Abstract readValidation Study
In one paragraph

Article in BMC psychiatry, 2025. 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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5 · Who and what money

Authors and funding

6 authors.

Yongchao LinFuzhou Neuropsychiatric Hospital Affiliated to Fujian Medical University, Fuzhou, China.
Xin ChenSchool of Health, Fujian Medical University, Fuzhou, China.
Jialin LinSchool of Health, Fujian Medical University, Fuzhou, China.
Weicui TianSchool of Public Health and Health Management, Fujian Health College, Fuzhou, China.
Meiling LiaoSchool of Health, Fujian Medical University, Fuzhou, China.
Fajie HuangSchool of Health, Fujian Medical University, Fuzhou, China. hfj0519@aliyun.com.ORCID 0009-0009-7624-3862

Funding

2022 Annual Planning Project of Fujian Province Foundation of Social Sciences Grant No. FJ2022C027
6 · The paper itself

Abstract

backgroundSuicidal behavior results from desire to escape overwhelming internal emotional distress or intolerable external circumstances. This sense of being trapped has emerged as a key psychological marker of suicide risk. The 16-item Entrapment Scale (ES) offers a comprehensive assessment; however, its length poses challenges for rapid clinical screening. Although efforts have recently been made to develop shortened versions of the ES, no scale has yet been tailored specifically to adolescents with depression, a population at high risk for suicide requiring efficient tools.

methodsThis study developed and validated the Entrapment-Clinical Screening Form (E-CSF), a brief measure designed for clinical screening of entrapment in adolescents with depression. 407 adolescents diagnosed with depression were recruited from a psychiatric outpatient clinic. Participants completed the 16-item ES, Patient Health Questionnaire-9, and other relevant measures. The psychometric properties of the E-CSF (including factor structure, item quality, reliability, validity, and predictive utility) were rigorously evaluated.

results(1) Confirmatory factor analysis supported a two-factor structure ("internal entrapment" and "external entrapment"), reinforced the conceptual distinction between internal and external sources of entrapment. (2) Based on item response theory analyses, two high-performing items were selected from each factor to form the four-item E-CSF. (3) Reliability analyses indicated excellent internal consistency (Cronbach's α = 0.89). (4) Validity analyses showed that the E-CSF was highly correlated with the full ES (r = .95), and demonstrated comparable associations with depression, anxiety, and related psychological variables. Notably, the E-CSF showed slightly stronger correlations with suicidal ideation and behaviors than did the ES. (5) In terms of suicide risk prediction, the E-CSF effectively distinguished between adolescents with and without suicide risk at the group level. Receiver operating characteristic (ROC) analysis demonstrated good discriminative validity (AUC = 0.81), with an optimal cutoff score of 7.

conclusionThe E-CSF is a psychometrically sound, time-efficient, and clinically practical tool for assessing entrapment among adolescents with depression. Its robust reliability, structural validity, and predictive accuracy make it particularly well-suited for use in psychological crisis intervention and public mental health settings. The E-CSF holds promise for rapid identification of high-risk individuals, supporting timely suicide prevention efforts. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

DepressionPsychiatric Status Rating ScalesSuicideAdolescentFactor Analysis, StatisticalFemaleHumansMalePsychometricsReproducibility of ResultsRisk AssessmentSuicidal IdeationAdolescent depressionConfirmatory factor analysisEntrapmentItem response theoryROC analysisSuicide risk

Identifiers

PMID41257605
PMCPMC12746631

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