{"title":"Translation and psychometric properties of an Italian version of the Body Acceptance by Others Scale-2 (BAOS-2)","authors":"Amanda Nerini , Camilla Matera , Giulia Rosa Policardo , Monica Paradisi , Silvia Rivi , Viren Swami","doi":"10.1016/j.bodyim.2024.101815","DOIUrl":null,"url":null,"abstract":"<div><div>The 13-item Body Acceptance by Others Scale-2 (BAOS-2) measures generalised perceptions of body acceptance by others. Here, we examined the psychometric properties of a novel Italian translation of the BAOS-2. Studies 1 (<em>N</em> = 401) and 2 (<em>N</em> = 393) supported a unidimensional model of the Italian BAOS-2 with all 13 items retained through exploratory and confirmatory factor analysis, respectively. Study 2 also supported measurement invariance of the Italian BAOS-2 across gender identity, with the gender difference in observed scores not reaching significance. In Study 3 (<em>N</em> = 365), we supported the construct validity of the Italian BAOS-2. Specifically, we found evidence of convergent validity (significant associations with indices of positive body image), criterion-related validity (significant associations with pressure to conform to appearance ideals and psychological well-being), and incremental validity (body acceptance predicted body appreciation over-and-above appearance-related pressure). These results suggest that the psychometric properties of the Italian BAOS-2 are robust and that this instrument can be confidently utilised in future research with Italian adults.</div></div>","PeriodicalId":48312,"journal":{"name":"Body Image","volume":"51 ","pages":"Article 101815"},"PeriodicalIF":5.2000,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Body Image","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1740144524001372","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHIATRY","Score":null,"Total":0}
引用次数: 0
Abstract
The 13-item Body Acceptance by Others Scale-2 (BAOS-2) measures generalised perceptions of body acceptance by others. Here, we examined the psychometric properties of a novel Italian translation of the BAOS-2. Studies 1 (N = 401) and 2 (N = 393) supported a unidimensional model of the Italian BAOS-2 with all 13 items retained through exploratory and confirmatory factor analysis, respectively. Study 2 also supported measurement invariance of the Italian BAOS-2 across gender identity, with the gender difference in observed scores not reaching significance. In Study 3 (N = 365), we supported the construct validity of the Italian BAOS-2. Specifically, we found evidence of convergent validity (significant associations with indices of positive body image), criterion-related validity (significant associations with pressure to conform to appearance ideals and psychological well-being), and incremental validity (body acceptance predicted body appreciation over-and-above appearance-related pressure). These results suggest that the psychometric properties of the Italian BAOS-2 are robust and that this instrument can be confidently utilised in future research with Italian adults.
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.