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

Content Provider	Springer Nature : BioMed Central
Author	Zhang, Zheng Lin, Ruoheng Qiu, Andi Wu, Huifeng Wu, Shuo Zhang, Le Wu, Zijun Li, Mengna Zhang, Xiangbin Zhou, Jiansong
Abstract	Background The 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. Methods We 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. Results Our 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. Conclusion Our 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.
Related Links	https://bmcpublichealth.biomedcentral.com/counter/pdf/10.1186/s12889-024-20123-6.pdf
Ending Page	11
Page Count	11
Starting Page	1
File Format	HTM / HTML
ISSN	14712458
DOI	10.1186/s12889-024-20123-6
Journal	BMC Public Health
Issue Number	1
Volume Number	24
Language	English
Publisher	BioMed Central
Publisher Date	2024-10-23
Access Restriction	Open
Subject Keyword	Public Health Medicine Epidemiology Biostatistics Vaccine Environmental Health Students Depression Anxiety Stress Factor analysis Network analysis Medicine/Public Health
Content Type	Text
Resource Type	Article
Subject	Public Health, Environmental and Occupational Health
Journal Impact Factor	3.5/2023
5-Year Journal Impact Factor	3.9/2023

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