Budiningsari Dwi, Syahrian Firma
Department of Health Nutrition, Faculty of Medicine, Public Health, and Nursing, Gadjah Mada University, Yogyakarta, Indonesia.
Department of Electrical and Informatics Engineering, Vocational School, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Nutr Health. 2024 Jul 23:2601060241239095. doi: 10.1177/02601060241239095.
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. 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. No statistical differences ( = 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 ( = 0.59) were also observed in the measurement of protein, fat ( = 0.434), and carbohydrate ( = 230). The energy, protein, fat, and carbohydrate intakes estimated from the two methods were significantly correlated ( = 0.86, 0.870, 0.811, 0.738, respectively). Over 70% of participants were satisfied with the photo-based record. The results indicate that this digital photo-based dietary assessment tool is valid and user-friendly to estimate nutrient intake.
评估一种基于数码照片的饮食评估工具的有效性和用户满意度，该工具可作为手写纸质记录方法的替代方案，在疫情期间协助研究人员。本研究比较了一种基于数码照片的饮食评估工具（即Nutrinote Gama应用程序）与作为金标准的食物称重法在营养摄入量和用户对方法的满意度方面的差异。五十名食品与营养专业的大学生（90%为女性；年龄中位数为21岁）在食用食物和饮料前后拍摄照片，然后将其上传到Nutrinote Gama应用程序。经过培训的营养师评估餐盘剩余食物，并在Nutrinote Gama应用程序上显示营养成分。与基于照片的方法并行，他们记录了食物重量饮食记录并发送给研究人员。使用问卷评估参与者的满意度。在Nutrinote Gama（平均值±标准差[SD]=582.8±131）和食物称重（平均值±SD=566.1±133）之间的能量摄入量测量中未观察到统计学差异（=0.89）。在蛋白质、脂肪（=0.434）和碳水化合物（=230）的测量中也未观察到统计学差异（=0.59）。两种方法估计的能量、蛋白质、脂肪和碳水化合物摄入量显著相关（分别为=0.86、0.870、0.811、0.738）。超过70%的参与者对基于照片的记录感到满意。结果表明，这种基于数码照片的饮食评估工具在估计营养摄入量方面是有效的且用户友好的。
