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dc.contributor.authorHallit, Souheil
dc.contributor.authorFekih-Romdhane, Feten
dc.contributor.authorMerhy, Georges
dc.contributor.authorMoubarak, Verginia
dc.contributor.authorObeid, Sahar
dc.date.accessioned2023-05-13T10:41:08Z
dc.date.available2023-05-13T10:41:08Z
dc.date.issued2023-01-26
dc.identifier.citationFekih-Romdhane F, Merhy G, Moubarak V, He J, Rogoza R, Hallit R, Obeid S, Hallit S. Validation of the Arabic version of the Muscle Dysmorphic Disorder Inventory (Ar-MDDI) among Lebanese male university students. J Eat Disord. 2023 Jan 26;11(1):11. doi: 10.1186/s40337-023-00737-8.en_US
dc.identifier.doihttps://doi.org/10.1186/s40337-023-00737-8en_US
dc.identifier.urihttp://hdl.handle.net/20.500.14131/794
dc.description.abstractBackground: To date, the vast majority of research on disordered eating symptomatology and body image disturbances from the Arab world have been performed exclusively among women; and mainly used thinness-oriented measures that are not sensitive to detect muscularity-oriented symptoms, which are more evident in males. Therefore, the objective of our study was to validate the Arabic version of the Muscle Dysmorphic Disorder Inventory (Ar-MDDI), in order to make it accessible for Arabic-speaking populations. Methods: Using a snowball sampling technique, men university students (n = 396) from multiple universities in Lebanon filled the survey in this cross-sectional designed study (January-May 2022). A soft copy of the questionnaire was created using google forms software, and sent to participants through the different social media platforms such as Facebook, Instagram, and WhatsApp. We used the Muscle Dysmorphic Disorder Inventory to assess Muscle Dysmorphia, along with the Big Three Perfectionism Scale to assess perfectionism and Eating Attitude Test (EAT) to evaluate the inappropriate eating attitudes. To explore the factor structure of Ar-MDDI, we computed a principal-axis Exploratory Factor Analysis (EFA) with the first split-half subsample using the FACTOR software. We used data from the second split-half to conduct a Confirmatory Factor Analysis (CFA) using the SPSS AMOS v.29 software. Pearson correlation test was used to test the convergent and divergent validity of the Ar-MDDI scale with the other scores included in the study. Results: The results of the EFA revealed three factors, which explained 57.68% of the common variance: Factor 1 = Appearance intolerance, Factor 2 = Drive for size, and Factor 3 = Functional impairment. The CFA fit indices of the three-factor model of the Ar-MDDI scale showed good results. Moreover, 254 (64.1%) of the participants had inappropriate eating attitudes (EAT scores ≥ 20). Indices suggested that configural, metric, and scalar invariance was supported according to eating attitudes. No significant difference between participants with appropriate versus inappropriate eating attitudes in terms of functional impairment, drive for size and appearance intolerance. Perfectionism scores correlated positively with the Ar-MDDI, which suggests divergent validity. Conclusion: Our findings revealed that the validation of the Arabic scale yielded excellent properties, preliminarily supporting its use for the assessment of muscle dysmorphia among Arabic-speaking university men. This would hopefully allow for its timely detection and management in Arab clinical settings and encourage cross-cultural research on this topic.en_US
dc.subjectArabic; Confirmatory factor analysis; Muscle dysmorphia; Validation.en_US
dc.titleValidation of the Arabic version of the Muscle Dysmorphic Disorder Inventory (Ar-MDDI) among Lebanese male university studentsen_US
dc.source.journalJournal of Eating Disordersen_US
refterms.dateFOA2023-05-13T10:41:09Z
dc.contributor.researcherExternal Collaborationen_US
dc.contributor.labNAen_US
dc.subject.KSAPSYen_US
dc.contributor.ugstudent0en_US
dc.contributor.alumnae0en_US
dc.source.indexScopusen_US
dc.source.indexOther indexen_US
dc.contributor.departmentPsychologyen_US
dc.contributor.pgstudent0en_US
dc.contributor.firstauthorFekih-Romdhane, Feten


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