Toward objective monitoring of ingestive behavior in free-living population.
Toward objective monitoring of ingestive behavior in free-living population.
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DOI：
10.1038/oby.2009.153
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发表时间：
2009-10
期刊：
影响因子：
6.9
通讯作者：
Hill, James O.
中科院分区：
文献类型：
--
作者：
Sazonov, Edward S.;Schuckers, Stephanie A. C.;Lopez-Meyer, Paulo;Makeyev, Oleksandr;Melanson, Edward L.;Neuman, Michael R.;Hill, James O.
了解与肥胖相关的饮食行为需要客观准确地监测食物摄入模式。测量自由生活人群的总能量消耗及其组成部分的准确方法是可用的，但测量自由生活人群食物摄入量的方法远不准确，需要自我报告或主观监测。我们建议咀嚼和吞咽可用于客观监测摄食行为。这一假设在一项涉及20名受试者的人体研究中得到了证实。在安静的休息、谈话和不同大小的食物中捕捉咀嚼和吞咽的声音。咀嚼和吞咽的计数以及其他衍生指标被用来建立预测模型，用于检测食物摄入，区分液体和固体，以及估计摄入食物的质量。所提出的预测模型能够以> - 95%的准确度和30秒的精细时间分辨率检测食物摄入的时间，区分固体食物和液体食物的准确度为> - 91%，预测摄入食物的质量，固体食物的准确度为> - 91%，液体食物的准确度为> - 83%。在早期的出版物中，我们已经证明咀嚼和吞咽可以被非侵入式传感器捕获，这种传感器可以发展成可穿戴设备。因此，所提出的方法可能导致开发一种创新的新方法来评估人类在自由生活条件下的饮食行为。
Understanding of eating behaviors associated with obesity requires objective and accurate monitoring of food intake patterns. Accurate methods are available for measuring total energy expenditure and its components in free-living populations, but methods for measuring food intake in free-living people are far less accurate and involve self-reporting or subjective monitoring. We suggest that chews and swallows can be used for objective monitoring of ingestive behavior. This hypothesis was verified in a human study involving 20 subjects. Chews and swallows were captured during periods of quiet resting, talking, and meals of varying size. The counts of chews and swallows along with other derived metrics were used to build prediction models for detection of food intake, differentiation between liquids and solids, and for estimation of the mass of ingested food. The proposed prediction models were able to detect periods of food intake with >95% accuracy and a fine time resolution of 30 s, differentiate solid foods from liquids with >91% accuracy, and predict mass of ingested food with >91% accuracy for solids and >83% accuracy for liquids. In earlier publications, we have shown that chews and swallows can be captured by noninvasive sensors that could be developed into a wearable device. Thus, the proposed methodology could lead to the development of an innovative new way of assessing human eating behavior in free-living conditions.
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