身体和饮食行为的生态瞬间评估:WEALTH可行性和优化研究与大规模数据收集建议
Michael Janek1, Jitka Kuhnova2, Greet Cardon3
1Faculty of Physical Education and Sport, Charles University, Prague, Czechia.
PloS one
|February 11, 2025
概括
生态瞬间评估 (EMA) 对身体和饮食行为的可行性需要协议优化. 模拟改进了基于事件的调查触发器,自主发起的调查更好地捕捉了饮食习惯,提高了未来研究的数据质量.
科学领域:
- 行为科学 行为科学
- 医疗卫生技术 技术 技术
- 数字健康数字健康
背景情况:
- 生态瞬间评估 (EMA) 可以捕捉实时的健康行为和体验.
- 优化EMA协议对于大规模数据收集的准确性至关重要.
研究的目的:
- 评估EMA对身体和饮食行为的可行性.
- 优化EMA协议参数,以提高合规性和数据质量.
- 为未来的EMA大规模研究提供建议.
主要方法:
- 使用HealthReact和Fitbit追踪器进行为期9天的自由生活EMA协议.
- 包括基于时间,基于事件和自主发起的调查.
- 在EMA后进行质量反采访和数据模拟,以改进协议.
主要成果:
- 总体遵守率低 (中位数为49%),特别是基于事件的调查 (中位数为34%).
- 模拟优化基于事件的触发规则,实现所需的调查频率.
- 自主发起的饮食行为报告超过了提示报告,表明捕获更好.
结论:
- EMA协议可行性和优化对于合规性和数据质量至关重要.
- 预测和模拟对于完善EMA协议,特别是基于事件的触发器至关重要.
- 自主发起的调查显示,有望更准确地捕捉饮食行为.
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