使用基于计算机的食物照片评估食物分量报告的准确性，有助于开发一种自动化的自我管理24小时膳食回顾法。
Assessment of the accuracy of portion size reports using computer-based food photographs aids in the development of an automated self-administered 24-hour recall.
作者信息
Subar Amy F, Crafts Jennifer, Zimmerman Thea Palmer, Wilson Michael, Mittl Beth, Islam Noemi G, McNutt Suzanne, Potischman Nancy, Buday Richard, Hull Stephen G, Baranowski Tom, Guenther Patricia M, Willis Gordon, Tapia Ramsey, Thompson Frances E
机构信息
National Cancer Institute, Division of Cancer Control and Population Sciences, Applied Research Program, Risk Factor Monitoring and Methods Branch, Bethesda, MD 20892-7344, USA.
出版信息
J Am Diet Assoc. 2010 Jan;110(1):55-64. doi: 10.1016/j.jada.2009.10.007.
OBJECTIVE
To assess the accuracy of portion-size estimates and participant preferences using various presentations of digital images.
DESIGN
Two observational feeding studies were conducted. In both, each participant selected and consumed foods for breakfast and lunch, buffet style, serving themselves portions of nine foods representing five forms (eg, amorphous, pieces). Serving containers were weighed unobtrusively before and after selection as was plate waste. The next day, participants used a computer software program to select photographs representing portion sizes of foods consumed the previous day. Preference information was also collected. In Study 1 (n=29), participants were presented with four different types of images (aerial photographs, angled photographs, images of mounds, and household measures) and two types of screen presentations (simultaneous images vs an empty plate that filled with images of food portions when clicked). In Study 2 (n=20), images were presented in two ways that varied by size (large vs small) and number (4 vs 8).
SUBJECTS/SETTING: Convenience sample of volunteers of varying background in an office setting.
STATISTICAL ANALYSES PERFORMED
Repeated-measures analysis of variance of absolute differences between actual and reported portions sizes by presentation methods.
RESULTS
Accuracy results were largely not statistically significant, indicating that no one image type was most accurate. Accuracy results indicated the use of eight vs four images was more accurate. Strong participant preferences supported presenting simultaneous vs sequential images.
CONCLUSIONS
These findings support the use of aerial photographs in the automated self-administered 24-hour recall. For some food forms, images of mounds or household measures are as accurate as images of food and, therefore, are a cost-effective alternative to photographs of foods.
目的
使用数字图像的各种呈现方式评估份量估计的准确性和参与者偏好。
设计
进行了两项观察性进食研究。在两项研究中，每位参与者以自助餐的形式选择并食用早餐和午餐，自行取用代表五种形式（如无定形、块状）的九种食物。在选择前后，不显眼地对 serving 容器进行称重，同时也对盘中剩余食物进行称重。第二天，参与者使用计算机软件程序选择代表前一天所食用食物份量大小的照片。还收集了偏好信息。在研究1（n = 29）中，向参与者展示了四种不同类型的图像（航拍照片、角度照片、土堆图像和家庭量具图像）以及两种屏幕呈现方式（同时显示图像与点击后显示食物份量图像的空盘子）。在研究2（n = 20）中，图像以两种方式呈现，这两种方式在大小（大 vs 小）和数量（4 vs 8）上有所不同。
受试者/环境：在办公室环境中，选取了背景各异的志愿者作为便利样本。
进行的统计分析
通过呈现方法对实际和报告的份量大小之间的绝对差异进行重复测量方差分析。
结果
准确性结果在很大程度上无统计学意义，表明没有一种图像类型是最准确的。准确性结果表明使用八张图像比四张图像更准确。参与者强烈偏好同时显示图像而非顺序显示图像。
结论
这些发现支持在自动自我管理的24小时回顾中使用航拍照片。对于某些食物形式，土堆图像或家庭量具图像与食物图像一样准确，因此是食物照片的一种经济有效的替代方式。
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