Centre for Gender Studies, University of Cambridge, Cambridge, UK.
Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, USA.
Int J Eat Disord. 2024 Oct;57(10):2063-2066. doi: 10.1002/eat.24261. Epub 2024 Jul 12.
This commentary discusses a principal contribution of Monocello et al.'s paper presenting a cultural models approach to body fatness perceptions, which provides a rigorous and systematic means of identifying analytic categories that are locally meaningful, in contrast to categories derived from a solely universalizing perspective. In situating their work within an underrepresented population in eating disorders research-young men in South Korea-the authors step beyond the constraints of a universalizing, or etic, framework for probing how body dissatisfaction relates to eating disorder risk. The value of an alternative analytic framework, based on a culturally local, or emic, perspective on how bodies are perceived is demonstrated through the use of a cultural models approach exploring the relationship between culturally defined conceptualizations of body image and eating disorder risk. Understanding such relationships and the meanings attributed to the myriad aspects of body image through locally grounded frameworks provides an essential tool for investigators and clinicians to better understand the lived experience of body dissatisfaction and disordered eating, and also to inform more culturally salient approaches to diagnosis, treatment, and prevention. An emic approach that centers local perspectives and priorities also facilitates participation of communities underrepresented in research in knowledge production.
这篇评论讨论了 Monocello 等人的论文的主要贡献,该论文提出了一种文化模型方法来研究体脂感知,为识别具有本地意义的分析类别提供了严格和系统的方法,与仅从普遍主义视角得出的类别形成对比。作者将他们的工作置于饮食失调研究中代表性不足的人群——韩国的年轻男性——之中,超越了普遍主义或外部视角的限制,探究了身体不满与饮食失调风险的关系。通过使用文化模型方法来探索文化定义的身体意象概念与饮食失调风险之间的关系,展示了基于身体感知的文化本地或内部视角的替代分析框架的价值。通过基于本地的框架来理解这些关系以及赋予身体意象众多方面的意义,为研究人员和临床医生提供了一个重要工具,以更好地理解身体不满和饮食失调的生活体验,并为更具文化相关性的诊断、治疗和预防方法提供信息。以当地观点和优先事项为中心的内部方法还有助于让在研究中代表性不足的社区参与到知识生产中来。