Evidence map›Paper›PMID 39623039›Full record

ArticleNpj mental health research2024

Development of the psychopathological vulnerability index for screening at-risk youths: a Rasch model approach.

Yujing Liao, Haitao Shen, Wenjie Duan, Shanshan Cui, Chunxiu Zheng, Rong Liu, Yawen Jia

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In one paragraph

Article in Npj mental health research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Yujing Liao *Social and Public Administration School, East China University of Science and Technology, Shanghai, China.
Haitao Shen *Institute of Marxism, East China University of Science and Technology, Shanghai, China.
Wenjie Duan *Social and Public Administration School, East China University of Science and Technology, Shanghai, China. duan.w@outlook.com.
Shanshan CuiThe Office of Student Services, East China University of Science and Technology, Shanghai, China.
Chunxiu ZhengThe Office of Student Services, East China University of Science and Technology, Shanghai, China.
Rong LiuStudent Counseling and Mental Health Center, East China University of Science and Technology, Shanghai, China.
Yawen JiaSchool of Journalism and Communication, Nanchang University, Nanchang, China.

Funding

the Natural Science Foundation of Shanghai Grant 23ZR1415000
6 · The paper itself

Abstract

Accumulating research on mental health emphasizes the general factor of psychopathology (p-factor) that unites various mental health issues. This study develops a psychopathological vulnerability assessment for youths, evaluating its psychometric properties and clinical utility. An umbrella review conceptualized multifactor psychopathological vulnerability, leading to a 57-item pool. A total of 11,224 individuals participated in this study. The resulting 22-item psychopathological vulnerability index (PVI) fitted the unidimensional Rasch model, demonstrating a person separation reliability of 0.78 and a Cronbach's alpha of 0.84. Cut-off points of 11 and 5, derived from latent class analysis, were used to distinguish vulnerable and high-protection populations. The PVI's concurrent and predictive hit rates ranged from 36.00% to 53.57% in clinical samples. The PVI concretized the vulnerability-stress model for identifying at-risk youths and may facilitate universal interventions by integrating the theoretical foundations of bifactor S-1 models with key symptoms from network models for theoretically grounded approaches.

Identifiers

PMID39623039
PMCPMC11612436

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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.