The digital health industry has grown in popularity since the 2010s, but there has been limited analysis of the topics discussed in the field across academic disciplines. This study aims to analyze the research trends of digital health-related articles published on the Web of Science until 2021, in order to understand the concentration, scope, and characteristics of the research. 15,950 digital health-related papers from the top 10 academic fields were analyzed using the Web of Science. The papers were grouped into three domains: public health, medicine, and electrical engineering and computer science (EECS). Two time periods (2012-2016 and 2017-2021) were compared using Latent Dirichlet Allocation (LDA) for topic modeling. The number of topics was determined based on coherence score, and topic compositions were compared using a homogeneity test. The number of optimal topics varied across domains and time periods. For public health, the first and second halves had 13 and 19 topics, respectively. Medicine had 14 and 25 topics, and EECS had 7 and 21 topics. Text analysis revealed shared topics among the domains, but with variations in composition. The homogeneity test confirmed significant differences between the groups (p<2.2e-16). Six dominant themes emerged, including journal article methodology, information technology, medical issues, population demographics, social phenomena, and healthcare. Digital health research is expanding and evolving, particularly in relation to Covid-19, where topics such as depression and mental disorders, education, and physical activity have gained prominence. There was no bias in topic composition among the three domains, but other fields like kinesiology or psychology could contribute to future digital health research. Exploring expanded topics that reflect people's needs for digital health over time will be crucial.

翻译：自2010年代以来，数字健康产业日益普及，但跨学科领域内相关讨论主题的系统性分析仍存不足。本研究旨在分析Web of Science数据库中截至2021年发表的数字健康相关论文的研究趋势，以揭示该领域的关注焦点、研究范围及特征。基于Web of Science收录的15,950篇数字健康相关论文，本研究筛选了来自十个主要学术领域的文献，并将其归为三大领域：公共卫生、医学以及电子工程与计算机科学。通过潜在狄利克雷分配模型进行主题建模，对比分析了2012-2016年与2017-2021年两个时间段。主题数量根据一致性分数确定，并通过同质性检验比较主题构成。最优主题数量因领域和时间段而异：公共卫生领域前后期分别有13个和19个主题；医学领域为14个和25个；电子工程与计算机科学领域为7个和21个。文本分析显示不同领域存在共同主题，但其构成存在差异。同质性检验证实组间差异显著（p<2.2e-16）。研究共提炼出六个主导主题，包括期刊论文方法论、信息技术、医学议题、人口统计学特征、社会现象及医疗保健。数字健康研究正在不断扩展与演进，尤其在新冠疫情背景下，抑郁与精神障碍、教育及身体活动等主题日益凸显。三大领域的主题构成未呈现显著偏差，但运动机能学或心理学等其他领域有望为未来数字健康研究提供补充。探索能反映人们随时间变化的数字健康需求的扩展主题，将成为未来研究的重点方向。