Network analysis of central symptoms in Chinese young adults with subthreshold depression

Subthreshold depression (SD) is a prevalent condition among young adults, significantly increasing the risk of developing major depressive disorder (MDD). While the symptoms of MDD are well-documented, the network structure and key symptoms of SD, which forms a complex, interdependent system, have not been fully elucidated. This study sought to identify the central symptoms and their interconnections within the depressive symptom network in young adults with SD. A total of 834 Chinese young adults with SD completed the 21-item Beck Depression Inventory 2nd version (BDI-II) and were included in this study. Network analysis was employed to identify central symptoms (nodes) and associations between symptoms (edges) as assessed by the BDI-II. Additionally, centrality indicators for network robustness underwent assessment through stability and accuracy tests. The analysis revealed that Loss of interest was the most central node in the SD symptom network, with Tiredness/fatigue and Agitation following closely. Significant associations were observed between Loss of energy and Concentration difficulties, Agitation and Irritability, Guilty feelings and Self-dislike, as well as Tiredness and Loss of pleasure. The network demonstrated robustness across stability and accuracy assessments. Loss of interest, Tiredness/fatigue, and Agitation were pivotal symptoms within the depressive symptom network of SD in young adults. These symptoms may serve as critical targets for therapeutic interventions and should be prioritized in future psychological and neurobiological research to advance our understanding of SD.

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Publication Details

Journal
Translational Psychiatry
Published
2025-03-28
DOI
https://doi.org/10.1038/s41398-025-03307-5
Citations
5
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
10.59
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article

Network analysis of central symptoms in Chinese young adults with subthreshold depression

Yuanyuan Zhou, Lin Yao, Xiumin Jiang, Yongjun Chen et al.
5 citations
Translational Psychiatry
Mental Health Research Topics
10.59
article

Network analysis of central symptoms in Chinese young adults with subthreshold depression

Yuanyuan Zhou, Lin Yao, Xiumin Jiang, Yongjun Chen, Shengwei Wu, Xiaotong Wang, Meng Zhang, Lin Yu, Jinglan Yan, Jun He, Yuanjia Zheng
article en
5 citations

Abstract

Subthreshold depression (SD) is a prevalent condition among young adults, significantly increasing the risk of developing major depressive disorder (MDD). While the symptoms of MDD are well-documented, the network structure and key symptoms of SD, which forms a complex, interdependent system, have not been fully elucidated. This study sought to identify the central symptoms and their interconnections within the depressive symptom network in young adults with SD. A total of 834 Chinese young adults with SD completed the 21-item Beck Depression Inventory 2nd version (BDI-II) and were included in this study. Network analysis was employed to identify central symptoms (nodes) and associations between symptoms (edges) as assessed by the BDI-II. Additionally, centrality indicators for network robustness underwent assessment through stability and accuracy tests. The analysis revealed that Loss of interest was the most central node in the SD symptom network, with Tiredness/fatigue and Agitation following closely. Significant associations were observed between Loss of energy and Concentration difficulties, Agitation and Irritability, Guilty feelings and Self-dislike, as well as Tiredness and Loss of pleasure. The network demonstrated robustness across stability and accuracy assessments. Loss of interest, Tiredness/fatigue, and Agitation were pivotal symptoms within the depressive symptom network of SD in young adults. These symptoms may serve as critical targets for therapeutic interventions and should be prioritized in future psychological and neurobiological research to advance our understanding of SD.

Translational PsychiatryVol. 15(1)
Guangzhou University of Chinese Medicine (CN), Shandong University of Traditional Chinese Medicine (CN), Beijing University of Chinese Medicine (CN), First Affiliated Hospital of Guangzhou University of Chinese Medicine (CN), Guangzhou Medical University (CN)
Gender equality
Openalex Percentile: Top 2%
Mental Health Research Topics
10.59
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