Evidence map›Paper›PMID 42038958›Full record

ArticlePediatric investigation2026

Evaluating anger in Chinese adolescents: Psychometric validation and clinical sensitivity of the Chinese version of the Children's Inventory of Anger.

Xinyue Zhang, Liping Ma, Chi-Son Kuan, Xinli Chi, Yuan Cao, Suhong Wang, Chao Yan, W Michael Nelson

Abstract read
In one paragraph

Article in Pediatric investigation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

The trial behind it

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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
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Xinyue ZhangKey Laboratory of Brain Functional Genomics (MOE&STCSM) Affiliated Mental Health Center (ECNU) School of Psychology and Cognitive Science East China Normal University Shanghai China.
Liping MaKey Laboratory of Brain Functional Genomics (MOE&STCSM) Affiliated Mental Health Center (ECNU) School of Psychology and Cognitive Science East China Normal University Shanghai China.
Chi-Son KuanKey Laboratory of Brain Functional Genomics (MOE&STCSM) Affiliated Mental Health Center (ECNU) School of Psychology and Cognitive Science East China Normal University Shanghai China.
Xinli ChiSchool of Psychology Shen Zhen University Shenzhen Guangdong China.
Yuan CaoDepartment of Social Work and Social Administration The University of Hong Kong Hong Kong China.
Suhong WangThe First People's Hospital of Changzhou Changzhou Jiangsu China.
Chao YanKey Laboratory of Brain Functional Genomics (MOE&STCSM) Affiliated Mental Health Center (ECNU) School of Psychology and Cognitive Science East China Normal University Shanghai China.ORCID https://orcid.org/0000-0002-0327-9321
W Michael NelsonDepartment of Psychology Xavier University Cincinnati Ohio USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Accurately assessing anger in Chinese adolescents is crucial. Uncontrolled anger among adolescents can manifest in externalizing and internalizing problems. However, there are limited assessments specifically designed to measure anger in Chinese adolescents. Objective: This study aimed to evaluate the psychometric properties of the Chinese version of the Children's Inventory of Anger (ChIA-C). Methods: We enrolled 1790 adolescents aged 11-18 years from five middle schools (mean age of 14.56 ± 1.71 years, 57.9% female). Of these, 901 participants (mean age of 13.95 ± 1.66 years, 59.2% female) completed a retest survey after 9 months. Psychometric assessments comprised factor structure analysis, reliability testing, validity examination, and measurement invariance analysis. Furthermore, we recruited 50 pairs of depressed adolescents and healthy controls to evaluate the clinical sensitivity of the ChIA-C. Results: Factor analysis confirmed a robust four-factor structure with favorable fit indices ( Interpretation: The ChIA-C exhibits robust psychometric properties, establishing its reliability and validity as a tool for assessing anger in Chinese adolescents.

Indexed as

Children's inventory of angerChineseClinical applicationMeasurement invarianceReliabilityValidity

Identifiers

PMID42038958
PMCPMC13109863

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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.