部分大小和MyFitnessPal智能手机应用程序的有效性,用于估计饮食摄入量:一个随机交叉临床试验
Hanim E Diktas1, Chloe P Lozano2, Sanjoy Saha3
1Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, United States.
The Journal of nutrition
|September 29, 2025
概括
无论是PortionSize还是MyFitnessPal智能手机应用程序都准确地估计了与体重食物相比的能量摄入量. 比起 PortionSize,MyFitnessPal 显示出较低的错误率和更高的用户偏好.
科学领域:
- 营养科学 营养科学
- 数字健康数字健康
- 人与计算机的互动.
背景情况:
- PortionSize和MyFitnessPal是智能手机应用程序,旨在帮助用户估计和跟踪食物摄入量.
- PortionSize使用增强现实和部分大小模板,而MyFitnessPal则依赖用户估计.
- 这两个应用程序都提供实时的饮食反; PortionSize还提供了MyPlate食品组摄入量的反.
研究的目的:
- 评估 PortionSize 和 MyFitnessPal 应用程序在准确测量食物摄入中的有效性.
- 为了比较这些应用程序的准确性与计量食物摄入量测量.
主要方法:
- 在半控制的自由生活环境中,采用了对象内部随机对称设计.
- 参与者每天食用预计的食物,并在训练后使用PortionSize或MyFitnessPal.
- 统计分析涉及两个单面的t测试,具有±18%的等价边界,以比较估计的能量摄入量和权重摄入量.
主要成果:
- PortionSize和MyFitnessPal的能量摄入量估计在统计学上相当于体重摄入量.
- 与PortionSize (8.0%) 相比,MyFitnessPal的平均百分比错误率 (3.7%) 显著降低.
- 强烈的用户偏好 (82%) 观察到MyFitnessPal超过PortionSize.
结论:
- 这两种应用程序都证明了在自由生活条件下估计能量摄入量与称重食物的有效性.
- 与PortionSize相比,MyFitnessPal显示出更高的准确性和用户偏好.
- 建议在 PortionSize 中进行改进,以减少错误并增强用户体验.
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