Asrat Yonas Taffesse, Moursi Mourad, Vossenaar Marieke, Deitchler Megan, Omare Abdulaziz
Alive & Thrive, FHI 360, Addis Ababa, Ethiopia.
Intake - Center for Dietary Assessment, FHI 360, Washington, DC, USA.
BMC Nutr. 2024 Dec 18;10(1):159. doi: 10.1186/s40795-024-00965-4.
The Global Diet Quality Score (GDQS) application is an electronic data collection tool developed to provide a standard, easy-to-use method for collecting low-cost, time-relevant data on diet quality.
To assess the feasibility and ease-of-use of the GDQS application and associated set of 3D cubes used as visual aids to assist the respondent with estimating amounts consumed at the food group level.
The study was conducted in August 2021 in two regions of Ethiopia with varied dietary practices. Face-to-face interviews were conducted in Amharic and Somali by 10 enumerators among 120 women to collect dietary data using the GDQS application. Feedback on each completed interview was collected from both the respondent and enumerator. Enumerators also participated in focus group discussions.
Enumerators rated the GDQS application as easy to use after 85.8% of the interviews completed. They identified the automatic provision of food-specific probes to guide the interview, the automatic classification of reported foods, beverages, and ingredients into the corresponding GDQS food groups, and the ability to work offline as the main advantages of the application. Most respondents (78.3%) did not find it difficult to choose the cube that corresponded to the amount of each food group they reported consuming. Respondents' feedback on the open recall of all foods, beverages and mixed dishes consumed the previous day and the use of 3D cubes was mostly positive.
The results suggest that the GDQS application and cubes were easy to use and feasible for collecting data on diet quality in a low-income country setting.
全球饮食质量评分(GDQS)应用程序是一种电子数据收集工具,旨在提供一种标准、易用的方法,用于收集有关饮食质量的低成本、与时间相关的数据。
评估GDQS应用程序以及用作视觉辅助工具的一组相关3D立方体的可行性和易用性,以帮助受访者估计食物组水平的摄入量。
2021年8月在埃塞俄比亚两个饮食习惯不同的地区开展了这项研究。10名调查员用阿姆哈拉语和索马里语对120名女性进行面对面访谈,使用GDQS应用程序收集饮食数据。从受访者和调查员那里收集了关于每次完成访谈的反馈。调查员还参加了焦点小组讨论。
在85.8%的访谈完成后,调查员认为GDQS应用程序易于使用。他们认为该应用程序的主要优点包括自动提供特定食物的提问以指导访谈、将报告的食物、饮料和配料自动分类到相应的GDQS食物组以及能够离线工作。大多数受访者(78.3%)认为选择与他们报告的每个食物组摄入量相对应的立方体并不困难。受访者对前一天食用的所有食物、饮料和混合菜肴的开放式回忆以及3D立方体的使用反馈大多是积极的。
结果表明,GDQS应用程序和立方体易于使用,并且在低收入国家环境中收集饮食质量数据是可行的。