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理解摄入行为在能量平衡和慢性疾病风险中的作用至关重要。传统的和常用的评估饮食摄入量的方法，如称重或估计的食物记录，24小时召回，和食物频率问卷都依赖于自我报告，并受到报告偏见，特别是低报的能量摄入。在这个建议中，我们描述了一种新的设备，用于监测食物摄入行为，自动摄入监测器（AIM）。AIM有可能通过自动检测和捕获食物摄入的图像来提供用于监测摄取行为的准确工具。AIM不要求用户进行任何形式的自我报告，仅要求用户遵守佩戴器械的要求。AIM使用简单，不影响日常活动;它可以佩戴多天，只需要在洗澡、淋浴或游泳时取下。据我们所知，没有其他监测技术探索过这种方法。AIM系统的确认将在四个特定目标中进行：特定目标1：在自由进食期间保持AIM。具体目标2：从AIM衍生图像中实现半自动能量密度估计。具体目标3：通过AIM 2.0在社区环境中对双标记水进行总能量摄入量（TEI）测量的准确性。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。

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.