在参与数字行为减肥计划的参与者中探索饮食自我监测坚持的动态:模型开发研究
Hui Lin1,2, Min Yang3,4, Zhiheng Zhou1,2
1Pingshan Hospital, Southern Medical University, Shenzhen, China.
Journal of medical Internet research
|April 25, 2025
概括
这项研究使用了自适应控制思维理性 (ACT-R) 模型来理解在减肥计划中遵守自我监测饮食行为. 量身定制的反和密集的支持显示出改善坚持的承诺.
科学领域:
- 行为科学是一种行为科学.
- 认知科学是一种认知科学.
- 数字健康干预措施 数字健康干预措施
背景情况:
- 自我监测是行为减肥计划的关键.
- 了解自我监测中的坚持动态仍然是一个挑战.
研究的目的:
- 使用思维理性 (ACT-R) 认知架构的自适应控制,开发一种对自我监测饮食行为的预后模型.
- 通过基于模型的分析,研究坚持动态和干预影响.
主要方法:
- 利用ACT-R,一种认知架构,在数字减肥计划中模拟21天的自我监测坚持.
- 检查了目标追求和习惯形成机制.
- 分析了来自97名参与者的自我管理,定制反和密集支持小组的数据.
主要成果:
- ACT-R模型准确地捕捉了坚持趋势,所有干预组的RMSE值都很低.
- 目标追求主导了坚持,而习惯形成随着时间的推移而减少.
- 量身定制的反和密集的支持增强了目标追求和持续的行为实践.
结论:
- 在数字干预中,ACT-R建模为分析自我监测行为提供了潜力.
- 量身定制的反与密集的支持相结合,可以显著改善坚持.
- 未来的研究应该探索更长时间的干预,整合社会认知因素,并适应模型的恰到好处的干预.
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