Evidence map›Paper›PMID 40919577›Full record

ArticleNeuropsychiatric disease and treatment2025

Psychometric Properties of the Chinese Version of the Anhedonia Scale for Adolescents and Identification of the Subpopulation with Prominent Anhedonia.

Ziyu Ye, Jinyu Li, Bo Sun, Ji-Tao Li, Jing-Xu Chen, Shirley Ann Reynolds, Wentian Dong, Tianmei Si, Yun-Ai Su

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Article in Neuropsychiatric disease and treatment, 2025. 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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0cells of the map it votes in
4citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Ziyu Ye *Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, People's Republic of China.
Jinyu Li *Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, People's Republic of China.
Bo SunQingdao Mental Health Center, Qingdao, 266034, People's Republic of China.
Ji-Tao LiPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, People's Republic of China.
Jing-Xu ChenBeijing HuiLongGuan Hospital, Peking University HuiLongGuan Clinical Medical School, Beijing, 100096, People's Republic of China.ORCID 0000-0003-2395-6120
Shirley Ann ReynoldsSchool of Psychology and Clinical Language Sciences, University of Reading, Reading, UK.
Wentian DongPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, People's Republic of China.
Tianmei SiPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, People's Republic of China.
Yun-Ai SuPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, People's Republic of China.ORCID 0000-0001-8445-9633

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Adolescent anhedonia (AA) exhibits distinct characteristics. Currently available anhedonia scales in Chinese are designed solely for adult populations. This investigation assessed the psychometric characteristics of the Chinese Anhedonia Scale for Adolescents (ASA-C) across clinical, subthreshold, and typically developing adolescent cohorts, while establishing its optimal cut-off for prominent anhedonia identification. The relationship between adverse childhood experiences (ACEs) and adolescent anhedonia was concurrently examined. Methods: Random allocation divided participants into exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) validation sets. While internal consistency was evaluated in all groups, other psychometric properties were examined exclusively in major depressive disorder (MDD) participants. Latent profile analysis (LPA) was conducted on the full sample to identify distinct subgroups. Receiver Operating Characteristic (ROC) analysis determined the optimal diagnostic threshold based on derived classifications. The Adverse Childhood Experiences International Questionnaire (ACE-IQ) quantified dimensional characteristics of childhood adversity. Results: Exploratory factor analysis (EFA) revealed a bifactor structure for the ASA-C (ie, positive and negative factors). Confirmatory factor analysis (CFA) demonstrated that this two-factor model exhibited satisfactory fit and achieved measurement invariance across all three groups. The scale displayed satisfactory internal consistency, test-retest reliability, convergent validity, discriminant validity, and concurrent validity. Latent profile analysis (LPA) classified the full sample into two distinct subgroups. A cut-off value of 20.5 was determined to be most effective for identifying marked anhedonia. Moreover, significant correlations were observed between adverse childhood experiences and total scores on the ASA-C. Conclusion: The ASA-C demonstrates robust reliability and validity for assessing anhedonia in Chinese adolescents, serving as a valuable tool for community screening, clinical assessment, and research applications.

Indexed as

anhedoniaChinese adolescentsdepressionreliabilityvalidity

Identifiers

PMID40919577
PMCPMC12413547

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