M2FED: Monitoring and Modeling Family Eating Dynamics: Poster Abstract
M2FED: Monitoring and Modeling Family Eating Dynamics: Poster Abstract
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M2FED：家庭饮食动态监测和建模：海报摘要
DOI：
10.1145/2994551.2996702
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
J. Stankovic
中科院分区：
文献类型：
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作者：
D. Spruijt;K. Haye;J. Lach;J. Stankovic
肥胖症的流行是最近心脏病、糖尿病、癌症和其他疾病增加的主要原因，这些疾病给医疗保健和公共卫生带来了难以承受的压力。主要的行为原因之一，即饮食摄入，是一种科学在理解方面几乎没有成功的行为，更不用说影响了。目前的行为科学表明，家庭饮食动力学（FED）很有可能影响儿童和父母的饮食摄入量和肥胖率。与关注饮食摄入的传统肥胖相关方法（例如，吃什么和吃多少），基于FED的方法集中于家庭用餐时间和家庭食物环境（例如，谁在吃饭，什么时候，在哪里，和谁在一起，人际压力），用于建模行为和提供具有成功行为矫正潜力的反馈。这张海报简要介绍了M2FED，一个用于监测和建模FED的集成系统。该系统正在开发中，它由原位和可穿戴传感器以及收集同步实时FED数据的智能手机组成，这些数据用于迭代开发动态的情境化FED模型。
The obesity epidemic is the primary cause of recent increases in heart disease, diabetes, cancer, and other diseases that place an untenable strain on healthcare and public health. One of the primary behavioral causes, i.e. dietary intake, is a behavior that science has had little success in understanding, much less affecting. Current behavioral science suggests that family eating dynamics (FED) have high potential to impact child and parent dietary intake and obesity rates. In contrast to traditional obesity related approaches that focus on dietary intakes (e.g., what and how much is being eaten), FED based approaches focus on family mealtime and home food environment (e.g., who is eating, when, where, with whom, interpersonal stress) for modeling behavior and providing feedback that has potential for successful behavior modification. This poster briefly presents M2FED, an integrated system for monitoring and modeling FED. The system is under development, and it consists of in-situ and wearable sensors, and smartphones that collect synchronized real-time FED data used to iteratively develop dynamic, contextualized FED models.