Yu Qingyue, Wang Zihao, Li Zeyu, Liu Xuejun, Oteng Agyeman Fredrick, Wang Xinxing
College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
College of Medicine, Jiangsu University, Zhenjiang, China.
Front Psychol. 2022 May 19;13:920920. doi: 10.3389/fpsyg.2022.920920. eCollection 2022.
Contemporarily, depression has become a common psychiatric disorder that influences people's life quality and mental state. This study presents a systematic review analysis of depression based on a hierarchical structure approach. This research provides a rich theoretical foundation for understanding the hot spots, evolutionary trends, and future related research directions and offers further guidance for practice. This investigation contributes to knowledge by combining robust methodological software for analysis, including Citespace, Ucinet, and Pajek. This paper employed the bibliometric methodology to analyze 5,000 research articles concerning depression. This current research also employed the BibExcel software to bibliometrically measure the keywords of the selected articles and further conducted a co-word matrix analysis. Additionally, Pajek software was used to conduct a co-word network analysis to obtain a co-word network diagram of depression. Further, Ucinet software was utilized to calculate K-core values, degree centrality, and mediated centrality to better present the research hotspots, sort out the current status and reveal the research characteristics in the field of depression with valuable information and support for subsequent research. This research indicates that major depressive disorder, anxiety, and mental health had a high occurrence among adolescents and the aged. This present study provides policy recommendations for the government, non-governmental organizations and other philanthropic agencies to help furnish resources for treating and controlling depression orders.
当下，抑郁症已成为一种影响人们生活质量和精神状态的常见精神疾病。本研究基于层次结构方法对抑郁症进行了系统综述分析。本研究为理解该领域的热点、发展趋势及未来相关研究方向提供了丰富的理论基础，并为实践提供了进一步的指导。本研究通过结合强大的分析方法软件，包括Citespace、Ucinet和Pajek，为知识做出了贡献。本文采用文献计量学方法分析了5000篇关于抑郁症的研究文章。本研究还使用BibExcel软件对所选文章的关键词进行文献计量测量，并进一步进行共词矩阵分析。此外，使用Pajek软件进行共词网络分析，以获得抑郁症的共词网络图。此外，利用Ucinet软件计算K核值、度中心性和中介中心性，以更好地呈现研究热点，梳理抑郁症领域的现状，并通过有价值的信息揭示该领域的研究特征，为后续研究提供支持。本研究表明，青少年和老年人中重度抑郁症、焦虑症和心理健康问题的发生率较高。本研究为政府、非政府组织和其他慈善机构提供了政策建议，以帮助为治疗和控制抑郁症提供资源。
