Kaiser Birgit, Stelzl Tamara, Finglas Paul, Gedrich Kurt
Research Group Public Health Nutrition, ZIEL - Institute for Food & Health, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
Chair of Analytical Food Chemistry, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
JMIR Form Res. 2022 Aug 4;6(8):e34497. doi: 10.2196/34497.
To address the epidemic burden of diet-related diseases, adequate dietary intake assessments are needed to determine the actual nutrition intake of a population. In this context, the eNutri web app has been developed, providing online automated personalized dietary advice, based on nutritional information recorded via an integrated and validated food frequency questionnaire (FFQ). Originally developed for a British population and their dietary habits, the eNutri tool has specifically been adapted to the German population, taking into account national eating habits and dietary recommendations.
The primary aim of this study is to evaluate the system usability and users' experience and feedback on the eNutri app in a small-scale preliminary study. The secondary aim is to investigate the efficacy of personalized nutrition (PN) recommendations versus general dietary advice in altering eating habits.
The app was piloted for 4 weeks by 106 participants from across Germany divided into a PN group and a control group. The groups differed according to the degree of personalization of dietary recommendations obtained.
An overall System Usability Scale (SUS) score of 78.4 (SD 12.2) was yielded, indicating an above average user experience. Mean completion time of the FFQ was 26.7 minutes (SD 10.6 minutes). Across subgroups (age, sex, device screen sizes) no differences in SUS or completion time were found, indicating an equal performance for all users independent of the assigned experimental group. Participants' feedback highlighted the need for more personalized dietary advice for controls, while personalized nutritional recommendations improved the awareness of healthy eating behavior. Further improvements to the eNutri app were suggested by the app users.
In total, the eNutri app has proven to be a suitable instrument to capture the dietary habits of a German population sample. Regarding functionality, system usability, and handling, direct user feedback was quite positive. Nutritional advice given was rated ambivalent, pointing to several weaknesses in the eNutri app, minimizing the system's full potential. A higher level of personalization within nutritional advice subjectively improved the app's usability. The insights gained will be used as a basis to further develop and improve this digital diet assessment tool.
为应对与饮食相关疾病的流行负担,需要进行充分的膳食摄入评估,以确定人群的实际营养摄入量。在此背景下,开发了eNutri网络应用程序,该程序基于通过综合且经过验证的食物频率问卷(FFQ)记录的营养信息,提供在线自动化个性化膳食建议。eNutri工具最初是针对英国人群及其饮食习惯开发的,考虑到德国的饮食习惯和膳食建议,已专门针对德国人群进行了调整。
本研究的主要目的是在一项小规模的初步研究中评估eNutri应用程序的系统可用性以及用户的体验和反馈。次要目的是调查个性化营养(PN)建议与一般膳食建议在改变饮食习惯方面的效果。
来自德国各地的106名参与者将该应用程序试用了4周,这些参与者被分为PN组和对照组。两组根据所获得的膳食建议的个性化程度而有所不同。
总体系统可用性量表(SUS)得分为78.4(标准差12.2),表明用户体验高于平均水平。FFQ的平均完成时间为26.7分钟(标准差10.6分钟)。在各亚组(年龄、性别、设备屏幕尺寸)中,未发现SUS或完成时间存在差异,这表明所有用户的表现相同,与分配的实验组无关。参与者的反馈强调对照组需要更多个性化的膳食建议,而个性化营养建议提高了对健康饮食行为的认识。应用程序用户还提出了对eNutri应用程序的进一步改进建议。
总体而言,eNutri应用程序已被证明是一种适合获取德国人群样本饮食习惯的工具。在功能、系统可用性和操作方面,用户的直接反馈相当积极。所提供的营养建议评价不一,指出了eNutri应用程序的几个弱点,使该系统的全部潜力未得到充分发挥。营养建议中更高程度的个性化在主观上提高了应用程序的可用性。所获得的见解将作为进一步开发和改进这一数字饮食评估工具的基础。