Williamson D A, Allen H R, Martin P Davis, Alfonso A, Gerald B, Hunt A
Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA.
Eat Weight Disord. 2004 Mar;9(1):24-8. doi: 10.1007/BF03325041.
The primary objective of this study was to test the comparability of digital photography and visual estimation procedures for estimating food intake.
The study sample included 71 breakfast meals and 59 lunch meals eaten in a university cafeteria during a single day. A total of 66 different foods were employed as test foods that could be selected by the students. Food selections and plate waste, as estimated by digital photography and visual estimation, were compared. For digital photography, three observers independently estimated portion sizes of each food item based upon digital photographs. One observer estimated portion sizes in the cafeteria setting, using visual estimation, a method that has been validated in other studies.
To test the accuracy of the two procedures for measuring food intake, the estimates of food weights derived from both procedures were compared using Bland-Altman regression. In comparison to visual estimation, the digital photography method yielded comparable estimates of food selections, plate waste, and total food intake for seven of nine comparisons. The two methods of estimating food portions yielded comparable results for most (78%) types of foods. The two methods also yielded similar variability.
These findings suggest that the digital photography method is an alternative to the traditional method of estimating food intake via direct observation.
本研究的主要目的是测试数字摄影和视觉估计程序在估计食物摄入量方面的可比性。
研究样本包括在大学食堂一天内食用的71份早餐和59份午餐。总共使用了66种不同的食物作为测试食物,学生可以从中选择。比较了通过数字摄影和视觉估计得出的食物选择和餐盘剩余量。对于数字摄影,三名观察者根据数字照片独立估计每种食物的份量。一名观察者在食堂环境中使用视觉估计法估计份量,该方法已在其他研究中得到验证。
为了测试两种测量食物摄入量程序的准确性,使用Bland-Altman回归比较了两种程序得出的食物重量估计值。与视觉估计相比,数字摄影方法在九项比较中的七项中得出了可比的食物选择、餐盘剩余量和总食物摄入量估计值。两种估计食物份量的方法对大多数(78%)类型的食物得出了可比的结果。两种方法的变异性也相似。
这些发现表明,数字摄影方法是通过直接观察估计食物摄入量的传统方法的一种替代方法。