The Pennsylvania State University, College of Nursing, University Park, Pennsylvania, USA.
The Pennsylvania State University, Learning, Design, and Technology, University Park, Pennsylvania, USA.
Issues Ment Health Nurs. 2020 Jul;41(7):592-601. doi: 10.1080/01612840.2019.1705944. Epub 2020 Apr 14.
: The purpose of this paper is to provide readers with a comprehensive overview of scholarly work on the depression of caregivers using bibliometrics and text mining. : A total of 426 articles published between 2000 and 2018 were retrieved from the Clarivate Analytics Web of Science, and then, computer-aided bibliometric analysis as well as Latent Dirichlet Allocation (LDA) topic modeling were conducted on the collection of the data. : Descriptive statistics on the increasing number of publications, network analysis of scientific collaboration between countries, word co-occurrence analysis, conceptual structure, and six latent topics (k = 6) identified are discussed. : Preventing or managing depression among caregivers is a growing field with the highest priority for the aging population. In the future, collaborating between countries and reflecting cultural backgrounds in caregiver depression research are needed. This study is expected to contribute to the field of psychological distress of caregivers in looking a big picture of the current position through data-driven analysis and moving forward towards a better direction.
本研究旨在通过文献计量学和文本挖掘，为读者提供一个关于照顾者抑郁的学术研究综述。从 Clarivate Analytics Web of Science 中检索到 2000 年至 2018 年间发表的 426 篇文章，然后对数据进行计算机辅助文献计量分析和潜在狄利克雷分配（LDA）主题建模。讨论了出版物数量不断增加的描述性统计、国家间科学合作的网络分析、词共现分析、概念结构和六个潜在主题（k = 6）的识别。预防或管理照顾者的抑郁是老龄化人口的一个高度优先领域。未来需要在国家间开展合作，并在照顾者抑郁研究中反映文化背景。通过数据驱动分析，本研究有望为照顾者心理困扰领域提供一个整体视角，并朝着更好的方向前进。
