Efforts to replicate this factor structure in non-clinical populations have not been widely successful. Douka A, Grammatopoulou E, Skordilis E, Koutsouki D. Factor analysis and cut-off score of the 26-item eating attitudes test in a Greek sample. Velicer WF, Eaton CA, Fava JL. Psychometric and clinical correlates of the Eating Attitudes Test (EAT) are described for a large sample of female anorexia nervosa (N = 160) and female comparison (N = 140) subjects.An abbreviated 26-item version of the EAT (EAT-26) is proposed, based on a factor analysis of the original scale (EAT-40). A second limitation is our reliance on self-reported weight and height for BMI. (2013). This finding is inconsistent with reported strict invariance of an 18-item French version of the EAT-26 [26]. Both waves had similar sample design and response rate (52.0 and 51.7%) [38]. DM Garner, et al. Int J Eat Disord. The EFs were considered small, moderate, and large using the following respective thresholds of 0.20, 0.50, and 0.80 [49]. The Eating Attitudes Test (EAT) is one of the most widely used measures of DEAB [(10)]. If the EAT is supposed to screen for undifferentiated eating disorder [34], then it is supposed to measure DEAB in the same way across weight status groups. This comparison tests the assumption the items have the same meaning (slopes) across subgroups [45]. In the Middle East, although the EAT-26 has been widely used in Arabic-speaking countries [6, 7, 27, 28], fewer studies reported on its psychometric properties [29, 30]. Factor Structure Assessment using ESEM in Sample 1 (Step 2): Since the scree plot tends to overestimate the optimal number of factors, ESEM was used to assess alternative models with fewer factors [40]. In particular, the item “I feel extremely guilty after eating” had significant loading on the Fear-of-Getting-Fat factor, while the other two items had no loadings above 0.40 on any factor in our study. NIH In a Muslim and Arabic-speaking country like Qatar, as in many of the Gulf countries, young women constitute a high-risk population for obesity and DEAB [5,6,7]. J Obes. 1999;6(1):1–55. Nasser M. Eating disorders: the cultural dimension. 2008;5(4):1–10. This site needs JavaScript to work properly. Garfinkel, P. E., & Newman, A. Mintz LB, O’Halloran MS. Using exploratory and confirmatory analytical approaches in randomly half-split samples, we evaluated the theoretical structure of DEAB measured by the EAT-26 and the same structure holds across two languages (Arabic and English) and three BMI-based groups (underweight, normal weight, and overweight/obese) in a large representative sample of undergraduate female students of predominantly Arab ethnicity. 2000;74(3):489–503. Semantic Scholar is a free, AI-powered research tool for scientific literature, based at the Allen Institute for AI. J Psychosom Res. Get the latest research from NIH: https://www.nih.gov/coronavirus. Additionally, measurement invariance tests were conducted in the entire sample assessing equivalence across language and BMI. This could be due to several reasons including variability in the magnitude of correlations between the latent factors across BMI categories, other psychometric properties of the EAT, and the self-report nature of our assessment method. Similarly, acceptable fit statistics were found for underweight (CFI = 0.851, TLI = 0.821; RMSEA = 0.075); normal weight (CFI = 0.928, TLI = 0.913, RMSEA = 0.056); and overweight or obese (CFI = 0.858, TLI = 0.829; RMSEA = 0.079). 2011;2011:e407237. In the five-factor ESEM (Table 3), no items had high cross loadings on more than one factor and the majority had loadings on a primary factor ≥ 0.60. Measurement Invariance in the Entire Sample: The results supported metric invariance only for language based on the change criteria in fit statistics specified a priori (Table 6): Model 2 vs. Model 1 [∆CFI = − 0.001, ∆TLI = + 0.003, and ∆RMSEA = − 0.001].  |  The impact of body mass index and western advertising and media on eating style, body image and nutrition transition among Jordanian women. This structure was further replicated in the second-half of the sample and its fit was evaluated with and without further sub-grouping by language- and BMI. Washington DC: American Psychological Association (APA); 1995. p. 99–136. Prevalence of eating disorders: a comparison of Western and non-Western countries. The Portuguese short form of the Eating Attitudes Test-40. In series of studies, Maïano and colleagues (2013) conducted a thorough investigation of the factor structure of the EAT-26 in one of the largest samples (n = 1779) of ethnically diverse, Europeans and Africans, populations to date. 1994;39(1):49–54. The EAT has been a particularly useful screening tool to assess "eating disorder risk" in high school, college and other special risk samples such as athletes. Often, Our findings supported the five-factor solution for 19 EAT items with largely satisfactory consistency values for the resulting five subscales. Meas Phys Educ Exerc Sci. (2013) eliminated the same other items that we also dropped from our study (“I avoid eating when hungry”, “I feel a need to cut my food into small pieces”, “I take longer than others to eat my meals”, “I display self-control around food”, and “I enjoy trying new nutritionally rich foods”) with the exception of “I cut my food into small pieces”. Chapter 5 group comparisons: 5.3.4Testing for equal intercepts. Br J Psychiatry J Ment Sci. 1997;2(4):174–81. However, unlike language, we found that when comparing overweight and obese categories versus underweight category, the latent factors’ means, except for Vomiting-Purging-Behavior factor, were substantially different indicating the levels of the latent factors vary across groups. Correlations between the latent factors from Sample 1, Sample 2, and entire sample were assessed using Pearson product-moment correlation coefficients. Cookies policy. One of the more frequently used measures of eating disorders is the 40-item Eating Attitudes Test (EAT) developed by Garner and Garfinkel (1979).  |  Eat Weight Disord. PubMed  Abstract views reflect the number of visits to the article landing page. Successive multi-group comparisons using SEM within the final five-factor CFA model tested for metric and scalar invariance and for population heterogeneity through comparison of latent factor means across these groups [50]. patients, on the other.