Advances and Controversies in Diet and Physical Activity Measurement in Youth.
Advances and Controversies in Diet and Physical Activity Measurement in Youth.
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DOI：
10.1016/j.amepre.2018.06.012
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发表时间：
2018-10
影响因子：
5.5
通讯作者：
Baranowski T
中科院分区：
文献类型：
--
作者：
Spruijt-Metz D;Wen CKF;Bell BM;Intille S;Huang JS;Baranowski T
过去几十年的技术进步改善了饮食摄入量和身体活动测量。这份报告回顾了目前的发展，饮食摄入量和体力活动评估的青年。膳食摄入评估主要依赖于自我报告或基于图像的方法来测量膳食摄入的关键方面（例如，食物类型、份量大小、进食场合），这倾向于显著的方法学（例如，回忆偏差）和逻辑（例如，参与者和研究人员的负担）的挑战。虽然在自动进食检测、人工智能和基于传感器的技术方面有所改进，但通常需要参与者输入来验证食物类别和份量。目前的身体活动评估方法，包括自我报告，直接观察和可穿戴设备，为研究人员提供了可靠的估计能量消耗和身体运动。结合来自多个传感器的信号和技术增强的自我报告方法的算法的最新发展在测量特定类型的活动模式和相关的上下文信息方面显示出初步的功效。然而，检测耐药性的挑战（例如，在阻力训练、举重中）、延长的身体活动监测和算法（非）等效性仍有待解决。总之，尽管膳食摄入量评估方法尚未达到与身体活动测量相同的有效性和可靠性，但这两个领域的可穿戴技术的最新发展有可能改善当前的评估方法。
Technological advancements in the past decades have improved dietary intake and physical activity measurements. This report reviews current developments in dietary intake and physical activity assessment in youth. Dietary intake assessment has relied predominantly on self-report or image-based methods to measure key aspects of dietary intake (e.g., food types, portion size, eating occasion), which are prone to notable methodologic (e.g., recall bias) and logistic (e.g., participant and researcher burden) challenges. Although there have been improvements in automatic eating detection, artificial intelligence, and sensor-based technologies, participant input is often needed to verify food categories and portions. Current physical activity assessment methods, including self-report, direct observation, and wearable devices, provide researchers with reliable estimations for energy expenditure and bodily movement. Recent developments in algorithms that incorporate signals from multiple sensors and technology-augmented selfreporting methods have shown preliminary efficacy in measuring specific types of activity patterns and relevant contextual information. However, challenges in detecting resistance (e.g., in resistance training, weight lifting), prolonged physical activity monitoring, and algorithm (non)equivalence remain to be addressed. In summary, although dietary intake assessment methods have yet to achieve the same validity and reliability as physical activity measurement, recent developments in wearable technologies in both arenas have the potential to improve current assessment methods.
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影响因子：
5.9
作者：
Aflague TF;Boushey CJ;Guerrero RT;Ahmad Z;Kerr DA;Delp EJ
通讯作者：
Delp EJ
影响因子：
3.5
作者：
Douglass, Deirdre;Islam, Noemi;Baranowski, Tom
通讯作者：
Baranowski, Tom
DOI：
10.1007/s10935-005-0008-6
发表时间：
2005-11-01
期刊：
The journal of primary prevention
影响因子：
--
作者：
Bacallao, Martica L;Smokowski, Paul R
通讯作者：
Smokowski, Paul R
影响因子：
4
作者：
Brazendale, Keith;Beets, Michael W.;van sluijs, Esther M. F.
通讯作者：
van sluijs, Esther M. F.
DOI：
10.3390/s17102263
发表时间：
2017-10-02
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
Broday DM;Citi-Sense Project Collaborators
通讯作者：
Citi-Sense Project Collaborators