基于数码照片的饮食评估工具的有效性:开发和初步评估。

IF 1.9 Q3 NUTRITION & DIETETICS
Dwi Budiningsari, Firma Syahrian
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引用次数: 0

摘要

背景和目的:评估基于照片的数字化膳食评估工具的有效性和用户满意度,以替代手写纸质记录方法,在大流行病期间为研究人员提供帮助。本研究比较了基于照片的数字膳食评估工具(即 Nutrinote Gama 应用程序)与作为黄金标准的食物称重之间的营养素摄入量和用户对方法的满意度。方法:50 名主修食品与营养学的大学生(90% 为女性;年龄中位数为 21 岁)拍摄了他们食用食物和饮料前后的照片,然后上传到 Nutrinote Gama 应用程序。训练有素的营养学家对餐盘垃圾进行评估,并在 Nutrinote Gama 应用程序上显示营养成分。在采用拍照法的同时,他们还保留了体重饮食记录,并将其发送给研究人员。调查问卷用于评估参与者的满意度。结果Nutrinote Gama(平均值±标准差[SD] = 582.8 ± 131)和食物称重(平均值±标准差 = 566.1 ± 133)在测量能量摄入量方面没有发现统计学差异(p = 0.89)。在蛋白质、脂肪(p = 0.434)和碳水化合物(p = 230)的测量中也未观察到统计学差异(p = 0.59)。两种方法估算出的能量、蛋白质、脂肪和碳水化合物摄入量存在显著相关性(r 分别为 0.86、0.870、0.811 和 0.738)。超过 70% 的参与者对照片记录感到满意。结论结果表明,这种基于照片的数字化膳食评估工具在估算营养素摄入量方面既有效又方便用户使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Validity of a digital photo-based dietary assessment tool: Development and initial evaluation.

Background and aim: To evaluate the validity and user satisfaction of a digital photo-based dietary assessment tool as an alternative to the hand-written paper record method that assists researchers during the pandemic. This study compared nutrient intake and users' satisfaction with methods between a digital photo-based dietary assessment tool, known as the Nutrinote Gama app, and food weighing as the gold standard. Methods: Fifty college students majoring in food and nutrition (90% were women; median age, 21 years) took pictures of their foods and beverages before and after consumption and then uploaded them to the Nutrinote Gama application. Trained nutritionists evaluated plate wastes, and nutritional content was revealed on the Nutrinote Gama application. Parallel to the photo-based method, they kept a weight dietary record and sent it to the researcher. A questionnaire was used to assess participants' satisfaction. Results: No statistical differences (p = 0.89) were observed in the measurement of energy intake between Nutrinote Gama (mean ± standard deviation [SD] = 582.8 ± 131) and food weighing (mean ± SD = 566.1 ± 133). No statistical differences (p = 0.59) were also observed in the measurement of protein, fat (p = 0.434), and carbohydrate (p = 230). The energy, protein, fat, and carbohydrate intakes estimated from the two methods were significantly correlated (r = 0.86, 0.870, 0.811, 0.738, respectively). Over 70% of participants were satisfied with the photo-based record. Conclusion: The results indicate that this digital photo-based dietary assessment tool is valid and user-friendly to estimate nutrient intake.

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来源期刊
Nutrition and health
Nutrition and health Medicine-Medicine (miscellaneous)
CiteScore
3.50
自引率
0.00%
发文量
160
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