Evidence map›Paper›PMID 39443919›Full record

ArticleBMC public health2024

Application of DASS-21 in Chinese students: invariance testing and network analysis.

Zheng Zhang, Ruoheng Lin, Andi Qiu, Huifeng Wu, Shuo Wu, Le Zhang, Zijun Wu, Mengna Li, Xiangbin Zhang, Jiansong Zhou

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

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28citing 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.

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3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

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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

10 authors.

Zheng Zhang *Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China.
Ruoheng Lin *Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China.
Andi QiuFaculty of Social Sciences, School of Education, The University of Sheffield, Sheffield, S10 2TN, UK.
Huifeng WuSchool of Educational Science, Anhui Normal University, Wuhu, China.
Shuo WuSchool of Economics, East China Normal University, Shanghai, 200241, China.
Le ZhangDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, PR China.
Zijun WuXiangya School of Public Health, Central South University, Changsha, 410083, China.
Mengna LiNanmen Middle and Special Primary School in Chengxiang District, Putian, 351100, China.
Xiangbin ZhangDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, PR China. 208102082@csu.edu.cn.
Jiansong ZhouDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China. zhoujs2003@csu.edu.cn.

Funding

Major Science and Technology Projects in Changsha, China kq2301008STI2030-Major Projects 2021ZD0200700the Hunan Provincial Natural Science Foundation of China 2023JJ60144
6 · The paper itself

Abstract

backgroundThe Depression Anxiety Stress Scale-21 Items (DASS-21) is commonly used to assess the mental health of students, but there is a need for further clarification regarding its equivalence, structure, and core items.

methodsWe conducted a confirmatory factor analysis (CFA) on a sample of 7943 Chinese students to examine the performance of the DASS-21 and assess measurement invariance. Additionally, we utilized network analysis to investigate the structure and centrality of students' mental health.

resultsOur findings revealed a stable three-factor structure for the DASS-21, characterized by high correlations among depression, anxiety, and stress. The DASS-21 demonstrated strict invariance across genders and weak invariance across levels of education. Network analysis indicated that symptoms of depression, anxiety, and stress form clusters, with some symptoms exhibiting strong correlations with each other.

conclusionOur study highlights a substantial interrelation among depression, anxiety, and stress, revealing a structurally clustered pattern. Network analysis underscores the interconnectedness and centrality of these symptoms, recommending a shorter version of the DASS, and emphasizing the imperative for targeted interventions aimed at improving the psychological well-being of students.

Indexed as

AnxietyDepressionStress, PsychologicalStudentsAdolescentAdultChinaEast Asian PeopleFactor Analysis, StatisticalFemaleHumansMalePsychiatric Status Rating ScalesPsychometricsYoung AdultAnxietyDepressionFactor analysisNetwork analysisStressStudents

Identifiers

PMID39443919
PMCPMC11515758

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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.