Nutrition and Health Department, College of Food and Agriculture, United Arab Emirates University, Al Ain, United Arab Emirates.
Institute of Public Heath, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates.
PLoS One. 2018 Apr 26;13(4):e0196389. doi: 10.1371/journal.pone.0196389. eCollection 2018.
Although, United Arab Emirates (UAE) has one of the highest prevalence of overweight, obesity and type 2 diabetes in the world, however, validated dietary assessment aids to estimate food intake of individuals and populations in the UAE are currently lacking. We conducted two observational studies to evaluate the accuracy of a photographic food atlas which was developed as a tool for food portion size estimation in the UAE. The UAE Food Atlas presents eight portion sizes for each food. Study 1 involved portion size estimations of 13 food items consumed during the previous day. Study 2 involved portion size estimations of nine food items immediately after consumption. Differences between the food portion sizes estimated from the photographs and the weighed food portions (estimation error), as well as the percentage differences relative to the weighed food portion for each tested food item were calculated. Four of the evaluated food items were underestimated (by -8.9% to -18.4%), while nine were overestimated (by 9.5% to 90.9%) in Study 1. Moreover, there were significant differences between estimated and eaten food portions for eight food items (P<0.05). In Study 2, one food item was underestimated (-8.1%) while eight were overestimated (range 2.52% to 82.1%). Furthermore, there were significant differences between estimated and eaten food portions (P<0.05) for six food items. The limits of agreement between the estimated and consumed food portion size were wide indicating a large variability in food portion estimation errors. These reported findings highlight the need for further developments of the UAE Food Atlas to improve the accuracy of food portion size intake estimations in dietary assessments. Additionally, recalling food portions from the previous day did not seem to increase food portion estimation errors in this study.
尽管阿拉伯联合酋长国（阿联酋）是世界上超重、肥胖和 2 型糖尿病患病率最高的国家之一，但目前阿联酋缺乏用于评估个人和人群食物摄入量的经过验证的饮食评估辅助工具。我们进行了两项观察性研究，以评估为估计阿联酋人群的食物份量而开发的摄影食物图谱的准确性。阿联酋食物图谱为每种食物提供了八个份量。研究 1 涉及对前一天食用的 13 种食物的份量估计。研究 2 涉及对食用后立即食用的 9 种食物的份量估计。从照片估计的食物份量与称重食物份量之间的差异（估计误差），以及每个测试食物相对称重食物部分的百分比差异，计算了每种测试食物的估计误差。在研究 1 中，有四种评估的食物被低估（-8.9%至-18.4%），而九种被高估（9.5%至 90.9%）。此外，八种食物的估计和食用食物份量之间存在显著差异（P<0.05）。在研究 2 中，一种食物被低估（-8.1%），八种食物被高估（范围为 2.52%至 82.1%）。此外，六种食物的估计和食用食物份量之间存在显著差异（P<0.05）。估计和消耗的食物份量之间的协议界限很宽，表明食物份量估计误差的可变性很大。这些研究结果强调需要进一步开发阿联酋食物图谱，以提高饮食评估中食物份量摄入量估计的准确性。此外，在本研究中，从前一天回忆食物份量似乎并没有增加食物份量估计误差。
