开发和验证网络应用程序，收集与营养成分和环境影响相关的食品供应数据

IF 1.6 Q2 MULTIDISCIPLINARY SCIENCES

MethodsX Pub Date : 2024-08-13 DOI:10.1016/j.mex.2024.102891

Lucile Marty , Fanny Teil , Christine Lange , Valentin Bellassen , Michel Visalli

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引用次数: 0

摘要

测量人们的饮食是一项重大的方法挑战。我们开发并验证了一种新的网络方法来记录实际的食物供应数据，这种方法比原来的方法（即食物供应日记）更省时。通过 COD-Appro 网络应用程序，参与者可以根据法国食品数据库中的项目，从列表中选择食品，输入他们的食品供应量，从而自动关联营养成分和环境影响数据。我们招募了 102 名参与者，他们在一个月内使用了 COD-Appro，其中 30 人还使用了传统的纸质食物供应日记，以便对两种方法进行比较。所有参与者都填写了反馈问卷。两种方法在按食品类别进行比较时，在购买食品的价格和数量上没有差异（n = 10），这证明新方法比原来的方法更可靠。此外，参与者反映 COD-Appro 网络应用程序的可用性很好，通过将数据输入和与食品数据库（营养成分和环境影响）配对整合到参与者自己进行的数据收集步骤中，使用该程序为实验人员节省了大量时间。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Development and validation of a web application to collect food supply data associated with their nutritional composition and environmental impacts

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Development and validation of a web application to collect food supply data associated with their nutritional composition and environmental impacts

Measuring what people eat is a major methodological challenge. We developed and validated a new web-based method to record actual food supply data that would be less time consuming than the original method (i.e., food supply diary). Through the COD-Appro web application, participants can enter their food supplies by selecting a food item from a list based on items included in French food databases; thus automatically associated with nutrient composition and environmental impacts data. We recruited 102 participants who used COD-Appro during one month, among which 30 also used a classical paper-based food supply diary to be able to compare the two methods. A feedback questionnaire was completed by all the participants. The two methods showed no difference between the price and the quantity of food purchases when compared by food groups (n = 10) which confirms that the new method was robust compared to the original method. In addition, participants reported good usability of the COD-Appro web application and its use saved a considerable amount of time to the experimenters by integrating data entry and pairing with food databases (nutrient composition and environmental impacts) into the data collection step performed by the participants themselves.