Institution of Socialomics, Yonsei University, South Korea.
Department of Sociology, Yonsei University, South Korea.
Soc Sci Med. 2020 Nov;265:113299. doi: 10.1016/j.socscimed.2020.113299. Epub 2020 Aug 20.
The realm of social health has not yet been properly established in terms of fixed definitions, concepts, and research areas. This study attempts to define social health using macro and micro perspectives and explores trends in social health research by mapping their topics and fields. We used Latent Dirichlet allocation (LDA) topic modeling, which allows the extraction of key terms and topics derived from a large volume of literature. We traced the evolution of research topics from past (the literature that "present" articles cited), present (existing journal articles on social health), to future (the literature which cited the articles) studies based on connections between citations. The datasets were collected by the query terms "social health" in the Scopus database, including title, abstract, and keywords of journal articles. We collected a total of 443 articles from recent social health literature, 6588 articles from past literature that the recent articles on social health cited, and 2680 articles from future literature in which recent social health articles were cited. We defined social health as positive interaction that increases individual engagement in social life at the micro level, and the high degree of social integration that deals with collective problems in society at the macro level. The results of LDA showed that social health research has developed into seven fields: Health Care Delivery; Vulnerable Groups; Measurement; Health Inequality; Social Network and Empowerment; Clinical/Physical Health; and Mental/Behavioral Health. Based on citation relationships, topics grounded in an individual/micro perspective have grown increasingly specialized and productive, while topics grounded in a social/macro perspective have stagnated or was underexplored. Our findings imply that social health studies should follow a more interdisciplinary approach to integrate current health models of individual-centered treatments with social science concerns on building collective capacity for social well-being.
社会健康领域尚未在固定定义、概念和研究领域方面得到充分确立。本研究试图从宏观和微观角度定义社会健康，并通过绘制社会健康研究主题和领域图来探索社会健康研究趋势。我们使用潜在狄利克雷分配（LDA）主题建模，该模型可以从大量文献中提取关键术语和主题。我们根据引文之间的联系，追踪研究主题从过去（“现在”文章引用的文献）、现在（关于社会健康的现有期刊文章）到未来（引用这些文章的文献）的演变。数据集是通过在 Scopus 数据库中查询“社会健康”这一术语收集的，包括期刊文章的标题、摘要和关键词。我们从最近的社会健康文献中收集了 443 篇文章，从最近的社会健康文章引用的过去文献中收集了 6588 篇文章，从最近的社会健康文章引用的未来文献中收集了 2680 篇文章。我们将社会健康定义为积极的互动，这种互动在微观层面上增加了个体对社会生活的参与度，而在宏观层面上则处理了社会中的集体问题，体现了高度的社会融合。LDA 的结果表明，社会健康研究已经发展成七个领域：医疗保健提供；弱势群体；测量；健康不平等；社会网络和赋权；临床/身体健康；和精神/行为健康。基于引文关系，以个体/微观为基础的主题变得越来越专业化和富有成效，而以社会/宏观为基础的主题则停滞不前或未得到充分探索。我们的研究结果表明，社会健康研究应该采取更具跨学科的方法，将以个体为中心的治疗方法与社会科学关注的社会福祉集体能力建设相结合。
