Jason M. Nagata , Emilio J. Compte , F. Hunter McGuire , Jason M. Lavender , Tiffany A. Brown , Matthew R. Capriotti , Annesa Flentje , Micah E. Lubensky , Juno Obedin-Maliver , Mitchell R. Lunn
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引用次数: 0
Abstract
Muscle dysmorphia (MD) is characterized by extreme preoccupation with insufficient muscularity that prompts pathological behaviors and distress/impairment. The Muscle Dysmorphic Disorder Inventory (MDDI) — a widely used measure of MD symptoms — has yet to be validated among transgender women, despite emerging evidence suggesting risk for muscularity-oriented concerns in this population. We examined the MDDI factor structure as well as the reliability and validity of its subscales in a sample of 181 transgender women ages 19–73 years who participated in a national longitudinal cohort study of U.S. sexual and gender minority adults. Confirmatory factor analysis was used to examine model fit for the original three-factor structure of the MDDI (drive for size, appearance intolerance, functional impairment). A re-specified three-factor model allowing covariance of residuals for two conceptually related items demonstrated good overall fit (χ2/df = 1.33, CFI =.94, TLI =.93, RMSEA =.06 [95 % CI =.01,.09], SRMR =.07). Moreover, results supported the internal consistency and convergent and discriminant validity of the MDDI subscales in transgender women. Findings inform the use of the MDDI among transgender women and provide a foundation to support future research on the MDDI and MD symptoms among gender minority populations.
期刊介绍:
Body Image is an international, peer-reviewed journal that publishes high-quality, scientific articles on body image and human physical appearance. Body Image is a multi-faceted concept that refers to persons perceptions and attitudes about their own body, particularly but not exclusively its appearance. The journal invites contributions from a broad range of disciplines-psychological science, other social and behavioral sciences, and medical and health sciences. The journal publishes original research articles, brief research reports, theoretical and review papers, and science-based practitioner reports of interest. Dissertation abstracts are also published online, and the journal gives an annual award for the best doctoral dissertation in this field.