开发基于正念的数字干预措施,以改善身体形象并减少饮食失调的风险因素:整合理论,证据和基于人的方法
Emma L Osborne1, Ben Ainsworth2, Nic Hooper3
1Department of Psychology, University of Bath, Claverton Down, Bath BA2 7AY, UK.
Body image
|June 28, 2025
概括
使用基于人的方法开发数字正念干预措施改善了年轻人面临饮食失调风险的参与度. 这种以用户为中心的方法整合了理论,证据和用户反,以获得可扩展,有效的数字健康解决方案.
科学领域:
- 数字健康数字健康
- 临床心理学 临床心理学
- 行为科学 行为科学
背景情况:
- 基于正念的干预措施 (MBI) 显示了改善身体形象和降低饮食失调风险的潜力.
- 数字MBI提供可扩展的传播,但面临着低用户参与度的挑战.
- 以用户为中心的方法对于开发有效的数字健康干预措施至关重要.
研究的目的:
- 描述基于个人的方法在为有饮食障碍风险的年轻人开发数字MBI时的应用.
- 整合理论,证据和用户观点,以加强对数字干预的参与.
- 创建一个可复制的模型,用于开发有吸引力和可扩展的干预措施,针对饮食失调的风险因素.
主要方法:
- 采用了两阶段的代开发过程.
- 第1阶段涉及定性证据综合和调查研究,以了解用户的需求和挑战.
- 第二阶段专注于通过可行性测试,咨询小组咨询和大声思考采访来开发和完善原型.
主要成果:
- 发现的关键干预组件是不集中意识,接受,情绪调节和自我同情.
- 参与的决定因素包括负面实践反应,习惯形成困难和社会支持.
- 用户反强调了解决身体形象误解的必要性,特别是以外表为中心的信念.
结论:
- 基于人的方法为以用户为中心的数字干预开发提供了系统的框架.
- 整合理论,证据和用户反对于创建引人入胜和有效的数字MBI至关重要.
- 这种新的方法提供了一个可复制的模型,用于开发可扩展的干预措施,以减少年轻人的饮食失调风险.
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