{"title":"Building the Body Image Conceptual Framework Based on the Theory of Planned Behavior (TPB)","authors":"Wen-Kuo Chen, Ying-Hsun Hung, Jun-Yu Zhong","doi":"10.1109/IRI49571.2020.00072","DOIUrl":null,"url":null,"abstract":"The aim of this study is to identify structural relationships between aspects of body image and behavioral intention. The study uses the theory of planned behavior to identify the latent antecedents for individual intention to improve their body image by adopting a cross-sectional design and using questionnaires to collect data. Responses from 460 participants were analyzed using structural equation modeling (SEM) to examine the research hypotheses. The results demonstrate that internal and external factors were positively related to the belief formation mechanism, and that self-identity was positively related to body image dissatisfaction. Additionally, the belief formation mechanism influenced behavioral intention through the theory of planned behavior. These results provide some body image strategy priorities for the health and beauty industries. Moreover, it is important for the health and beauty industries to manage intentions through internal and external factors of body image, such as self-identity and the healthcare climate. Strong support was found for the proposed theoretical model. Implications for research and practice are also discussed.","PeriodicalId":93159,"journal":{"name":"2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science : IRI 2020 : proceedings : virtual conference, 11-13 August 2020. IEEE International Conference on Information Reuse and Integration (21st : 2...","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science : IRI 2020 : proceedings : virtual conference, 11-13 August 2020. IEEE International Conference on Information Reuse and Integration (21st : 2...","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRI49571.2020.00072","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

The aim of this study is to identify structural relationships between aspects of body image and behavioral intention. The study uses the theory of planned behavior to identify the latent antecedents for individual intention to improve their body image by adopting a cross-sectional design and using questionnaires to collect data. Responses from 460 participants were analyzed using structural equation modeling (SEM) to examine the research hypotheses. The results demonstrate that internal and external factors were positively related to the belief formation mechanism, and that self-identity was positively related to body image dissatisfaction. Additionally, the belief formation mechanism influenced behavioral intention through the theory of planned behavior. These results provide some body image strategy priorities for the health and beauty industries. Moreover, it is important for the health and beauty industries to manage intentions through internal and external factors of body image, such as self-identity and the healthcare climate. Strong support was found for the proposed theoretical model. Implications for research and practice are also discussed.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于计划行为理论的身体形象概念框架构建
本研究的目的是确定身体意象与行为意向之间的结构关系。本研究运用计划行为理论,通过横断面设计和问卷调查收集数据,来识别个体改善身体形象意图的潜在前因。使用结构方程模型(SEM)对460名参与者的回答进行分析,以检验研究假设。结果表明,内部因素和外部因素与信念形成机制正相关,自我认同与身体形象不满意正相关。此外,信念形成机制通过计划行为理论影响行为意向。这些结果为健康和美容行业提供了一些身体形象战略的优先事项。此外,对于健康和美容行业来说,通过身体形象的内部和外部因素(如自我认同和医疗环境)来管理意图是很重要的。提出的理论模型得到了强有力的支持。本文还讨论了对研究和实践的启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Attention-Guided Generative Adversarial Network to Address Atypical Anatomy in Synthetic CT Generation. Natural Language-based Integration of Online Review Datasets for Identification of Sex Trafficking Businesses. An Adaptive and Dynamic Biosensor Epidemic Model for COVID-19 Relating the Empirical Foundations of Attack Generation and Vulnerability Discovery Latent Feature Modelling for Recommender Systems
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1