评估身体和饮食行为的标准化方法:财富横截面研究协议
Grainne Hayes1, Christoph Buck2, Greet Cardon3
1Department of Physical Education and Sport Sciences, Health Research Institute, Physical Activity for Health Research Centre, University of Limerick, Limerick, Ireland, 353 860806576.
JMIR research protocols
|March 11, 2026
概括
财富项目开发了使用可穿戴传感器测量身体和饮食行为 (PB & EB) 的标准化方法. 这项研究旨在创建用于综合数据收集的工具,以推进公共卫生研究.
科学领域:
- 行为科学 行为科学
- 生物医学工程 生物医学工程
- 公共卫生 公共卫生
背景情况:
- 准确测量身体行为 (PB) 和饮食行为 (EB) 对公共健康至关重要.
- 需要使用标准化的方法来识别使用可穿戴传感器的日常PB和EB.
- 身体和饮食行为的可穿戴传感器评估 (WEALTH) 项目解决了这一需求.
研究的目的:
- 开发标准化方法,通过可穿戴传感器识别日常PB和EB.
- 评估这些行为之间的相互作用和背景.
- 描述研究设计,方法和参与者特征.
主要方法:
- 一项在5个欧洲中心进行的横截面研究,共有627名参与者.
- 利用研究和消费级可穿戴设备进行数据收集.
- 雇佣生态瞬间评估 (EMA) 和24小时的饮食回忆.
主要成果:
- 收集了627名参与者的数据 (44%是男性,平均年龄为32.7岁,平均BMI为24.5kg/m2).
- 机器学习 (ML) 模型正在开发,用于从加速度计数据进行活动分类.
- 主要结果预计将在2026年公布.
结论:
- WEALTH项目将提供标记数据和机器学习模型的存储库.
- 将提供用于同时捕获EB和PB的方法.
- 这种综合系统将支持未来的行为监测研究.
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