1Department of Clinical Medicine,Aalborg University,Frederikskaj 10,Building B,Room B2,DK-2450 Copenhagen SV,Denmark.
2Department of Learning & Philosophy,Aalborg University,Copenhagen,Denmark.
Public Health Nutr. 2019 May;22(7):1203-1208. doi: 10.1017/S1368980018001064. Epub 2018 May 15.
Optimal nutrition for hospital patients is crucial and routine monitoring of patients' nutrient intake is imperative. However, personalised monitoring and customised intervention using traditional methods is challenging and labour-intensive, consequently it is often neglected in hospital settings. The present pilot study aimed to examine the reliability and validity of the Dietary Intake Monitoring System (DIMS) against the weighed food method (WFM).
The DIMS 2.0 is composed of an integrated digital camera, weighing scale, radio-frequency identification sensor and WIFI connection for real-time image and weight dietary data acquisition and analysis. The DIMS equipment was used to collect data for a paired set of meals both before and after meal consumption at lunchtime.
Odense University Hospital, Denmark.
Photos and weights of seventeen patient meals were captured.
The results showed a significant correlation between DIMS and WFM for energy (r=0·99, P<0·01) and protein intake (r=0·98, P<0·01). Intraclass correlation coefficients (ICC) revealed a high degree of agreement among the four non-trained assessors for estimates of portion size of each food item before (0·88, P<0·01) and after consumption (0·99, P<0·01). The ICC for energy and protein intake were 0·99 (P<0·01) and 0·99 (P<0·01), respectively. Bland-Altman plots revealed no systematic bias.
Considering the huge benefits associated with routine monitoring, technological advances have made it possible to develop a novel, easy-to-use DIMS that, according to the findings, is a valid alternative for use in hospital settings.
为住院患者提供最佳营养至关重要，常规监测患者的营养摄入量势在必行。然而，使用传统方法进行个性化监测和定制干预具有挑战性且劳动强度大，因此在医院环境中往往被忽视。本初步研究旨在检验膳食摄入监测系统（DIMS）与称重食物法（WFM）的可靠性和有效性。
DIMS 2.0 由集成的数码相机、称重秤、射频识别传感器和 WIFI 连接组成，用于实时获取和分析图像和重量膳食数据。DIMS 设备用于在午餐时间前后采集一组配对餐的照片和重量数据。
丹麦奥胡斯大学医院。
拍摄了 17 位患者餐的照片和重量。
结果显示，DIMS 与 WFM 在能量（r=0.99，P<0.01）和蛋白质摄入（r=0.98，P<0.01）方面具有显著相关性。四位未经培训的评估员对每种食物的份量估计的组内相关系数（ICC）显示出高度一致，餐前（0.88，P<0.01）和餐后（0.99，P<0.01）。能量和蛋白质摄入的 ICC 分别为 0.99（P<0.01）和 0.99（P<0.01）。Bland-Altman 图显示没有系统偏差。
考虑到与常规监测相关的巨大益处，技术进步使得开发一种新颖、易于使用的 DIMS 成为可能，根据研究结果，它是一种在医院环境中使用的有效替代方法。
