Department of Leadership and Organizational Behaviour, Norwegian Business School, Oslo, Norway.
School of Psychology and Sport Science, Anglia Ruskin University, Cambridge, United Kingdom; Centre for Psychological Medicine, Perdana University, Kuala Lumpur, Malaysia.
Body Image. 2021 Sep;38:106-119. doi: 10.1016/j.bodyim.2021.03.015. Epub 2021 Apr 7.
Science mapping is a methodology that combines quantitative analysis, classification, and visualisation to identify the composition and inter-relationships between bibliographic objects. Here, we used bibliometric science mapping to identify the overarching structure, evolution of research themes and research fronts, and geographic spread of body image research. We examined 2,783 keywords in 1,107 articles published in Body Image between 2004 and 2020, selected as being representative of body image research during this period. Co-occurrence analysis of the keywords enabled us to identify five general themes in the literature: "clinical and weight-related issues", "body image and disordered eating", "positive body image and objectification", "media effects", and "ethnicity/race". Burst analysis allowed us to identify research fronts in this research, with work on social media and positive body image in particular being identified as emergent. Finally, co-author analysis indicated that body image research networks are heavily focused on a small handful of nations, although there is evidence of a recent shift toward greater geographic spread. Our results, and the provision of interactive maps and extensive tables, should allow readers to examine connections between research clusters and areas, generate novel research ideas, and more fully understand the evolution and future trajectories of body image research.
科学图谱是一种将定量分析、分类和可视化相结合的方法,用于识别文献对象的组成和相互关系。在这里,我们使用文献计量学科学图谱来识别身体意象研究的总体结构、研究主题和研究前沿的演变以及地理分布。我们研究了 2004 年至 2020 年间在《身体意象》杂志上发表的 1107 篇文章中的 2783 个关键词,这些关键词被选为该时期身体意象研究的代表性关键词。通过对关键词的共现分析,我们在文献中确定了五个一般主题:“临床和与体重相关的问题”、“身体意象和饮食失调”、“积极的身体意象和客体化”、“媒体效应”和“种族/民族”。突发分析使我们能够确定该研究中的研究前沿,尤其是社交媒体和积极身体意象方面的工作被确定为新兴领域。最后,共同作者分析表明,身体意象研究网络主要集中在少数几个国家,尽管有证据表明最近出现了向更大地理分布的转变。我们的结果,以及提供的交互式地图和广泛的表格,应该允许读者检查研究集群和领域之间的联系,生成新的研究思路,并更全面地了解身体意象研究的演变和未来轨迹。