Bradley Jennifer, Rowland Maisie K, Matthews John N S, Adamson Ashley J, Spence Suzanne
Human Nutrition Research Centre, Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK.
School of Mathematics, Statistics and Physics, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK.
BMC Nutr. 2021 May 6;7(1):10. doi: 10.1186/s40795-021-00415-5.
Technology has advanced bringing new cost-effective methods to measure food intake. The aim of the study was to compare food and drink portion estimates from a traditional portion estimation method using 3D food models with portion estimates using an online dietary recall tool, Intake24.
11-12 year old children were recruited from secondary schools in Newcastle upon Tyne. Each pupil completed a two-day food diary followed by an interview during which pupils estimated food portion sizes using a range of 3D food models. They also completed Intake24 for the same 2 days. Bland Altman analyses were used to compare mean intake for each method.
Seventy pupils completed both portion estimation methods. There was good agreement in food weight estimations between the two methods (geometric mean ratio 1.00), with limits of agreement ranging from minus 35% to plus 53%. Intake24 provided estimates of energy intake that were 1% lower on average than estimates of energy intake using the food models. Mean intakes of all macro and micronutrients using Intake24 were within 6% of the food model estimates.
The findings suggest that there was little difference in portion estimations from the two methods, allowing comparisons to be made between Intake24 data and food diary data collected from same age pupils using 3D food models in previous years.
技术进步带来了新的具有成本效益的食物摄入量测量方法。本研究的目的是比较使用3D食物模型的传统份量估计方法与使用在线饮食回顾工具Intake24的份量估计之间的食物和饮料份量估计。
从泰恩河畔纽卡斯尔的中学招募11 - 12岁的儿童。每个学生完成一份为期两天的食物日记，随后进行访谈，期间学生使用一系列3D食物模型估计食物份量大小。他们还针对相同的两天完成了Intake24。采用布兰德-奥特曼分析来比较每种方法的平均摄入量。
70名学生完成了两种份量估计方法。两种方法在食物重量估计方面具有良好的一致性（几何平均比为1.00），一致性界限在负35%至正53%之间。Intake24提供的能量摄入量估计平均比使用食物模型的能量摄入量估计低1%。使用Intake24的所有常量营养素和微量营养素的平均摄入量在食物模型估计值的6%以内。
研究结果表明，两种方法的份量估计差异不大，这使得可以在前几年收集的Intake24数据与使用3D食物模型从同年龄学生收集的食物日记数据之间进行比较。
