Pedro Henrique Berbert de Carvalho
Universidade Federal de Juiz de Fora (UFJF) – Campus Governador Valadares.
Maria Aparecida Conti
Universidade Cruzeiro do Sul.
Clara Mockdece Neves, Juliana Fernandes Filgueiras Meireles, Fernanda Costa Oliveira, Maria Elisa Caputo Ferreira
UFJF – Campus Juiz de Fora.

Abstract:

Background: The study of male body image has increased substantially, but there are few assessment tools available for this population. The Male Body Dissatisfaction Scale (MBDS) has been widely used among students to research body image disturbances and eating disorders. However, the psychometric properties of this instrument have not been tested in the Brazilian context. Objectives: To explore the psychometric properties (convergent validity, internal consistency, test-retest reliability and factor structure) of the Brazilian version of the MBDS. Methods: Two-hundred sixty-four undergraduate students were evaluated. Pearson’s correlation was used to test the convergent validity of the MBDS and the Drive for Muscularity Scale, the Swansea Muscularity Attitudes Questionnaire, the Rosenberg Self-Esteem Scale, the Beck Depression Inventory, the Eating Attitudes Test-26, and the Commitment to Exercise Scale. Test-retest reliability was evaluated using t-tests for repeated measures and by calculating the coefficient of intraclass correlation. Exploratory factor analysis was conducted, and Cronbach’s α coefficients were determined. A significance level of 5% was adopted. Results: The MBDS had an adequate factor structure, with two factors explaining 52.67% of the total variance. It showed excellent internal consistency (Cronbach’s α between 0.90 and 0.92), a high intraclass correlation coefficient (0.81), and convergent validity with the drive for muscularity, the psychological commitment to exercise, low self-esteem, and eating disorder risk behaviour measures. Discussion: The MBDS appears to be a valid and reliable tool for evaluating Brazilian male body image dissatisfaction.

Keywords:Body image, men’s health, psychometrics, validation, factor analysis.