Assessing Food Intake with the Automatic Ingestion Monitor

描述(由申请人提供)：饮食评估的准确性对于了解摄食行为在能量平衡和慢性病风险中的作用至关重要。评估膳食摄入量的传统和常用方法，如称重或估计食物记录、24小时回忆和食物频率问卷，都依赖于自我报告，并受到报告偏差的影响，特别是对能量摄入量的少报。在这项建议中，我们描述了一种新的监测食物摄取行为的设备--自动摄取监测器(AIM)。AIM通过自动检测和捕获食物摄入的图像，有可能为监测摄食行为提供一种准确的工具。AIM不要求用户进行任何形式的自我报告，只需要遵守佩戴设备的要求。AIM使用简单，不会干扰日常活动；它可以佩戴数天，只需在洗澡、淋浴或游泳时脱下即可。据我们所知，没有其他监测技术探索过这种方法。AIM系统的验证将在四个具体目标中进行：具体目标1：在自由进食期间验证AIM。具体目标2：从AIM导出的图像实施半自动能量密度估计。具体目标3：验证AIM2.0在社区环境中针对双标签水测量总能量摄入量(TEI)的准确性。具体目标4：确定分析AIM2.0传感器和图像数据的最具成本效益的方法，以准确估计能量摄入量。

DESCRIPTION (provided by applicant): Accuracy in dietary assessment is essential for understanding the role of ingestive behavior in energy balance and chronic disease risk. Traditional and commonly used methods for assessing dietary intake, such as weighed or estimated food records, 24h recalls, and food frequency questionnaires all rely on self-report and are subject to reporting bias, particularly underreporting of energy intake. In this proposal, we describe a novel device for monitoring of food intake behavior, the Automatic Ingestion Monitor (AIM). The AIM has the potential to provide an accurate tool for monitoring of ingestive behavior by automatically detecting and capturing imagery of food intake. The AIM does not require any form of self-report from the user, only compliance with wearing the device. The AIM is simple to use and unobtrusive to daily activities; it can be worn for multiple days and only needs to be removed when bathing, showering or swimming. To our knowledge, no other monitoring technique has explored such an approach. The validation of the AIM system will be addressed in four specific aims: Specific Aim 1: Validate the AIM during ad-libitum food intake. Specific Aim 2: Implement semi-automatic energy density estimates from AIM-derived imagery. Specific Aim 3: Validate the accuracy of Total Energy Intake (TEI) measurement by the AIM2.0 in a community setting against doubly labeled water. Specific Aim 4: Identify the most cost-effective approach to analysis of AIM2.0 sensor and image data to accurately estimate energy intake.