Eduardo Borba Salzer , Juliana Fernandes Filgueiras Meireles , Elizabeth Kirk , Catherine E.J. Preston , Débora Vasconcelos e Sá , Clara Mockdece Neves
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引用次数: 0
Abstract
The Body Understanding Measure for Pregnancy Scale (BUMPs) is a scale developed and validated for British pregnant women to assess body satisfaction during pregnancy. The aim of this study was to perform a cross-cultural adaptation and verify the psychometric properties of BUMPs for Brazilian adult pregnant women. The cross-cultural adaptation was performed using translation, back-translation, expert committee, expert analysis, and pre-testing, which showed easy comprehension by pregnant women. Psychometric analyses were evaluated in a sample of 618 pregnant women (31.08 ± 4.94 years old). Exploratory and confirmatory factor analyses resulted in 19 items and three factors, with satisfactory fit indices. BUMPs presented an invariant measurement across white vs. nonwhite women and across the three gestational trimesters. BUMPs showed good indicators of convergent, internal consistency, and test-retest reproducibility validity. It was concluded that the Brazilian version of BUMPs has adequate psychometric properties for Brazilian pregnant women, being an excellent instrument for analyzing body satisfaction in this population, facilitating additional investigations into these constructs.
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.