Frederick David A, Murray Stuart B
Crean College of Health and Behavioral Sciences, Chapman University, Orange, CA, USA.
Department of Psychiatry and Behavioral Sciences, University of Southern California, Los Angeles, CA, USA.
Body Image. 2023 Sep;46:223-229. doi: 10.1016/j.bodyim.2023.05.010. Epub 2023 Jun 22.
The U.S. Body Project I examined predictors and prevalence of body image concerns among 11,620 adults recruited via Mechanical Turk. Researchers were invited to propose hypotheses or conduct secondary data analysis on the anonymized dataset. This resulted in 11 papers for this special issue. The first four papers examined the demographic predictors and prevalence of (1) body satisfaction, (2) objectification and tripartite model constructs, (3) sexuality-related body image concerns, and (4) face image satisfaction. The next four papers tested different structural equation models linking objectification and tripartite constructs to outcomes among women (5) and men (6) varying in body mass, and across racial (7) and sexual orientation (8) groups. We then tested measurement invariance of the scales (9) and introduced an abbreviated measure (10), and applied machine learning to examine associations among variables (11). Here we reflect on our personal and academic journeys leading to this project, and lessons learned.
美国身体项目I研究了通过亚马逊土耳其机器人平台招募的11620名成年人中身体形象问题的预测因素和患病率。邀请研究人员对匿名数据集提出假设或进行二次数据分析。这产生了本期特刊的11篇论文。前四篇论文研究了（1）身体满意度、（2）客体化和三方模型结构、（3）与性相关的身体形象问题以及（4）面部形象满意度的人口统计学预测因素和患病率。接下来的四篇论文测试了不同的结构方程模型，这些模型将客体化和三方结构与体重不同的女性（5）和男性（6）、不同种族（7）和性取向（8）群体的结果联系起来。然后我们测试了量表的测量不变性（9），引入了一个简化测量方法（10），并应用机器学习来检验变量之间的关联（11）。在此，我们反思了促成这个项目的个人和学术历程，以及所学到的经验教训。
