Paolo Mancin , Marta Ghisi , Andrea Spoto , Silvia Cerea
{"title":"The relation between body dysmorphic disorder symptoms and photo-based behaviors: is body appreciation a protective factor?","authors":"Paolo Mancin , Marta Ghisi , Andrea Spoto , Silvia Cerea","doi":"10.1016/j.bodyim.2024.101764","DOIUrl":null,"url":null,"abstract":"<div><p>Body image and social media use seem to be significantly associated. In particular, photo-based behaviors (i.e., photo investment and manipulation) seemed to have a positive relation with negative body image dimensions. On the other hand, positive body image dimensions could demonstrate the role of moderators. However, current available studies did not support these findings consistently. Moreover, available studies did not assess Body Dysmorphic Disorder (BDD) and Muscle Dysmorphia (MD) symptoms. To address these issues, the associations between BDD/MD symptoms and photo-based behaviors and the possible moderation of body appreciation were examined in a sample of 485 social media users (71.1 % women). Findings from hierarchical multiple regressions highlighted that BDD symptoms were significantly associated with photo investment and manipulation, and MD symptoms were significantly associated with photo investment only. Body appreciation demonstrated a moderating role in the relation involving photo investment and BDD symptoms. Current findings supported that photo-based behaviors are significantly associated with negative body image dimensions, while positive body image demonstrated only a marginal protective role.</p></div>","PeriodicalId":48312,"journal":{"name":"Body Image","volume":"51 ","pages":"Article 101764"},"PeriodicalIF":5.2000,"publicationDate":"2024-07-24","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/S174014452400086X","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
Body image and social media use seem to be significantly associated. In particular, photo-based behaviors (i.e., photo investment and manipulation) seemed to have a positive relation with negative body image dimensions. On the other hand, positive body image dimensions could demonstrate the role of moderators. However, current available studies did not support these findings consistently. Moreover, available studies did not assess Body Dysmorphic Disorder (BDD) and Muscle Dysmorphia (MD) symptoms. To address these issues, the associations between BDD/MD symptoms and photo-based behaviors and the possible moderation of body appreciation were examined in a sample of 485 social media users (71.1 % women). Findings from hierarchical multiple regressions highlighted that BDD symptoms were significantly associated with photo investment and manipulation, and MD symptoms were significantly associated with photo investment only. Body appreciation demonstrated a moderating role in the relation involving photo investment and BDD symptoms. Current findings supported that photo-based behaviors are significantly associated with negative body image dimensions, while positive body image demonstrated only a marginal protective role.
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.