保护性过滤:降低年轻女性容貌焦虑的形成机理与量表设计
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1.安徽医科大学卫生管理学院;2.浙江大学公共卫生学院

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基金项目:

安徽省杰出青年科研项目(编号:2022AH020049);国家社科基金一般项目(编号:24BGL269)


Protective Filtering: The Formation Mechanism and Measurement for Reducing Appearance Anxiety
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Affiliation:

School of public health, Zhejiang Univirsity

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the Anhui Provincial Social Science Fund for Distinguished Young Scholars

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    摘要:

    社交媒体成为女性构建和展现自我提供技术支持和交互平台,其关于理想美的信息泛滥带来“容貌焦虑”已成为共识。对身体意象相关信息的保护性过滤成为抵御“容貌焦虑”的重要干预策略。本研究运用混合研究方法,厘清身体意象相关信息的保护性过滤行为形成机理并编制适用于年轻女性的保护性过滤量表。研究1在明晰保护性过滤内涵的基础上,运用扎根理论探索保护性过滤行为的影响因素并构建理论模型;研究2严格遵循规范的量表开发流程,开发了包含3个维度、18个题项的保护性过滤行为测量量表。该研究结果表明保护性过滤量表信效度良好和人群应用效果,可用于我国年轻女性对身体意象相关性信息的保护性过滤测量。

    Abstract:

    Social media has become a technological support and interactive platform for women to construct and showcase themselves and is widely acknowledged that the proliferation of ideal beauty information on social media platforms has led to "appearance anxiety". The protective filtering of body image-related information has become an important intervention strategy for women to actively address the triggering of appearance anxiety caused by ideal beauty information. This study used mix research methods to clarify the mechanisms behind protective filtering behaviors of body image-related information and develop a protective filtering scale suitable for young women. Study 1 focused on exploring the factors influencing protective filtering behaviors and constructed a theoretical model based on the rooting theory based on the clarification of the connotation of protective filtering. Study 2 followed the standardized scale development process and developed a protective filtering behavior measurement scale containing 3 dimensions and 18 items. The results of this study indicate that the protective filtering scale has good reliability and validity and is effective when applied to the population. It can be used to measure protective filtering of body image-related information among young women in China.

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  • 收稿日期:2024-09-04
  • 最后修改日期:2024-10-30
  • 录用日期:2024-11-05
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