Martin C K, Nicklas T, Gunturk B, Correa J B, Allen H R, Champagne C
Pennington Biomedical Research Center, Baton Rouge, LA, USA.
J Hum Nutr Diet. 2014 Jan;27 Suppl 1(0 1):72-81. doi: 10.1111/jhn.12014. Epub 2013 Jul 15.
The digital photography of foods method accurately estimates the food intake of adults and children in cafeterias. When using this method, images of food selection and leftovers are quickly captured in the cafeteria. These images are later compared with images of 'standard' portions of food using computer software. The amount of food selected and discarded is estimated based upon this comparison, and the application automatically calculates energy and nutrient intake. In the present review, we describe this method, as well as a related method called the Remote Food Photography Method (RFPM), which relies on smartphones to estimate food intake in near real-time in free-living conditions. When using the RFPM, participants capture images of food selection and leftovers using a smartphone and these images are wirelessly transmitted in near real-time to a server for analysis. Because data are transferred and analysed in near real-time, the RFPM provides a platform for participants to quickly receive feedback about their food intake behaviour and to receive dietary recommendations for achieving weight loss and health promotion goals. The reliability and validity of measuring food intake with the RFPM in adults and children is also reviewed. In sum, the body of research reviewed demonstrates that digital imaging accurately estimates food intake in many environments and it has many advantages over other methods, including reduced participant burden, elimination of the need for participants to estimate portion size, and the incorporation of computer automation to improve the accuracy, efficiency and cost-effectiveness of the method.
食物数码摄影法能准确估算自助餐厅中成人和儿童的食物摄入量。使用该方法时，会在自助餐厅快速捕捉食物选择和剩余食物的图像。这些图像随后会使用计算机软件与“标准”食物份量的图像进行比较。根据这种比较估算所选和丢弃的食物量，该应用程序会自动计算能量和营养摄入量。在本综述中，我们描述了这种方法以及一种相关方法——远程食物摄影法（RFPM），该方法依靠智能手机在自由生活条件下近乎实时地估算食物摄入量。使用RFPM时，参与者用智能手机拍摄食物选择和剩余食物的图像，这些图像近乎实时地无线传输到服务器进行分析。由于数据近乎实时地传输和分析，RFPM为参与者提供了一个平台，使其能够快速收到关于其食物摄入行为的反馈，并获得实现减肥和促进健康目标的饮食建议。我们还综述了RFPM在成人和儿童中测量食物摄入量的可靠性和有效性。总之，所综述的研究表明，数字成像在许多环境中都能准确估算食物摄入量，并且与其他方法相比有许多优势，包括减轻参与者负担、无需参与者估算份量大小，以及采用计算机自动化提高该方法的准确性、效率和成本效益。
