Factor analytic support for the EDE-Q7 among American Indian/Alaska Native undergraduate women
Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity(2021)
摘要
Objective American Indian/Alaska Native (AI/AN) people have historically been excluded from eating disorder research. Consequently, not much is known about the validity of eating disorder assessment measures in this group. The purpose of the current study was to examine the factor structure of a short measure for eating pathology, the seven-item Eating Disorder Examination Questionnaire (EDE-Q7), in AI/AN undergraduate women. Exploratory analyses examined the measurement invariance of the EDE-Q7 across AI/AN, White, and Latinx undergraduates. Methods A sample of 150 AI/AN undergraduate women completed the full EDE-Q (28 items) as part of two larger studies. The seven items comprising the EDE-Q7 were selected from the full measure to test the factor structure. Random samples of White and Latinx women of equal sample size were chosen from the larger studies to test measurement invariance. Results Confirmatory factor analyses found support for the EDE-Q7 factor structure in AI/AN undergraduate women, and scores were strongly positively correlated with the original EDE-Q global scale and disordered eating behaviors. Exploratory analyses found support for the measurement invariance of the EDE-Q7 across AI/AN, White, and Latinx women. One-way ANOVAs showed no significant racial and ethnic differences on the EDE-Q7. Discussion The current study found psychometric support for the EDE-Q7 in AI/AN undergraduate women and provided preliminary evidence that the EDE-Q7 can be meaningfully compared across AI/AN, White, and Latinx undergraduate women. Further research should continue to investigate the EDE-Q7 and other eating disorder measures in AI/AN and other historically excluded groups. Level of evidence V, cross-sectional descriptive study.
更多查看译文
关键词
Eating disorders, Confirmatory factor analysis, American Indian/Alaskan Natives, Measurement invariance, College students
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要