NutriDiary, a Smartphone-Based Dietary Record App: Description and Usability Evaluation.

IF 3 Q2 HEALTH CARE SCIENCES & SERVICES JMIR Human Factors Pub Date : 2025-02-10 DOI:10.2196/62776
Linda Klasen, Stefanie Anna Julia Koch, Maike Elena Benz, Johanna Conrad, Ute Alexy, Konrad Blaszkiewicz, Ionut Andone, Ute Nöthlings
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Abstract

Background: Repeated applications of short-term dietary assessment instruments are recommended for estimating usual dietary intake. For this purpose, NutriDiary, a smartphone app for collecting weighed dietary records (WDRs) in the German population, was developed.

Objective: We aim to describe NutriDiary and evaluate its usability and acceptability.

Methods: NutriDiary was developed as a WDR, allowing users to enter food items via text search, barcode scanning, or free text entry. The sample for the evaluation study included 74 participants (n=51, 69% female, aged 18-64 years), including 27 (37.5%) experts and 47 (63.5%) laypersons (including n=22, 30%, nutrition students). Participants completed a 1-day WDR and entered a predefined sample meal (n=17 foods) the following day by using NutriDiary. An evaluation questionnaire was answered from which the system usability scale (SUS) score (0-100) was calculated. A backward selection procedure (PROC REG in SAS; SAS Institute) was used to identify potential predictors for the SUS score (age, sex, status [expert or laypersons], and operating system [iOS or Android]).

Results: The median SUS score of 75 (IQR 63-88) indicated good usability. Age was the only characteristic identified as a potential predictor for a lower SUS score (P<.001). The median completion time for an individual WDR was 35 (IQR 19-52) minutes. Older participants took longer to enter the data than younger ones (18-30 y: median 1.5, IQR 1.1-2.0 min/item vs 45-64 y: median 1.8, IQR 1.3-2.3 min/item). Most participants expressed a preference for NutriDiary over the traditional paper-based method.

Conclusions: Good usability and acceptability make NutriDiary promising for use in epidemiological studies.

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NutriDiary,一个基于智能手机的饮食记录应用程序:描述和可用性评估。
背景:建议重复应用短期膳食评估工具来估算日常膳食摄入量。为此,我们开发了一款智能手机应用程序 NutriDiary,用于收集德国人口的称重膳食记录(WDR):我们旨在描述 NutriDiary 并评估其可用性和可接受性:NutriDiary 是作为 WDR 开发的,允许用户通过文本搜索、条形码扫描或自由文本输入的方式输入食物项目。评估研究的样本包括 74 名参与者(n=51,69% 为女性,年龄在 18-64 岁之间),其中包括 27 名专家(37.5%)和 47 名非专业人士(n=22,30% 为营养专业学生)(63.5%)。参与者完成为期 1 天的 WDR,并在次日使用 NutriDiary 输入预定义的膳食样本(n=17 种食物)。参与者回答了一份评估问卷,并从中计算出系统可用性量表(SUS)得分(0-100)。使用逆向选择程序(PROC REG in SAS; SAS Institute)确定了SUS得分的潜在预测因素(年龄、性别、身份[专家或普通人]和操作系统[iOS或Android]):SUS得分中位数为75(IQR为63-88),表明可用性良好。年龄是 SUS 分数较低的唯一潜在预测因素:良好的可用性和可接受性使 NutriDiary 有望用于流行病学研究。
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来源期刊
JMIR Human Factors
JMIR Human Factors Medicine-Health Informatics
CiteScore
3.40
自引率
3.70%
发文量
123
审稿时长
12 weeks
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