Department of Food Nutrition, College of BioNano Technology, Gachon University, Seongnam 13120, Korea.
Department of Consumer Science, College of Commerce and Public Affairs, Incheon National University, Incheon 22012, Korea.
Int J Environ Res Public Health. 2022 Jun 23;19(13):7710. doi: 10.3390/ijerph19137710.
Despite the growing importance of eating disorders in society and academic literature, only a few bibliometric review studies using bibliometric analysis were available. Hence, this study aimed to explore and uncover hidden research topics and patterns in articles in terms of eating disorders over the last 30 years. In total, 4111 articles on eating disorders were analyzed using bibliometrics, network analyses, and structural topic modeling as the basis of mixed methods. In addition to general statistics about the journal, several key research topics, such as eating disorder (ED) treatment, ED symptoms, factors triggering ED, family related factors, eating behaviors, and social factors, were found based on topic correlations. This study found the key research variables that are frequently studied with EDs, such as AN, BN, BED, and ARFID. This study may help clinicians comprehend important risk factors associated with EDs. Moreover, the findings about key ED research topics and their association can be helpful for future studies to construct a comprehensive ED research framework. To our knowledge, this is the first study to use topic modeling in an academic journal on EDs and examine the diversity in ED research over 30 years of published research.
尽管饮食失调在社会和学术文献中的重要性日益增加,但仅有少数使用文献计量分析的文献计量学综述研究可用。因此,本研究旨在探索和揭示过去 30 年来有关饮食失调的文章中隐藏的研究主题和模式。本研究使用文献计量学、网络分析和结构主题建模对 4111 篇饮食失调文章进行了分析,作为混合方法的基础。除了关于期刊的一般统计数据外,还根据主题相关性发现了几个关键研究主题,如饮食失调(ED)治疗、ED 症状、引发 ED 的因素、与家庭相关的因素、饮食行为和社会因素。本研究发现了与 ED 频繁研究的关键研究变量,如 AN、BN、BED 和 ARFID。本研究可以帮助临床医生了解与 ED 相关的重要风险因素。此外,关于关键 ED 研究主题及其关联的发现对于未来研究构建全面的 ED 研究框架可能会有所帮助。据我们所知,这是第一篇使用主题建模在 ED 学术期刊上进行研究,并对 30 多年发表的研究中 ED 研究的多样性进行研究的文章。