Integrating Traffic Light Diet System via food analysis in Android app for adolescent nutrition education: A strategy to reduce sugar, salt, and fat consumption

Q3 Nursing
Trias Mahmudiono , Alinda Rahmani , Nur Alifia Hera , Erwanda Anugrah Permatasari , Nadia Syfa Zainurrahmah , Ni Made Ayu Rachel Rasheeta Nuka , Theresa Winona Wijaya , Wanda Nurul Asifah
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引用次数: 0

Abstract

Introduction

In today's global food consumption trend, high sugar, salt, and fat dominate diets, especially among adolescents who frequently utilize online food ordering systems. Monitoring nutritional intake has thus become increasingly crucial. The Traffic Light Diet application serves as a tool to help track the nutritional content of online food purchases. This study aimed to enhance adolescent knowledge and attitudes towards healthier food choices.

Method

Adopting a quasi-experimental research design, the study employed a pre-test and posttest approach for both control and intervention groups. The sample comprised 110 participants from Airlangga University, aged 18–25 years, possessing Android devices capable of downloading the application. Participants were recruited and randomly allocated, with data collected through self-reported questionnaires and analyzed using independent and dependent t-tests through the SPSS application.

Results

Significant effects were observed in knowledge levels following nutritional education provision in both groups. However, no significant difference was found in attitudes posteducation. Specifically, the control group showed no significant difference in attitudes, whereas the intervention group did.

Discussion

While both groups demonstrated improvements in knowledge and attitude posteducation, the control group exhibited higher scores. Although there was a significant effect between nutrition education and knowledge, the impact on attitudes was insignificant in the control group. This fact maybe due to the differences between participant baseline characteristic such an educational background.

Conclusion

These findings suggest the Traffic Light Diet app is useful but has room for improvement to better influence attitudes towards nutrition among participants. Although there was a significant effect between nutrition education and knowledge, the impact on attitudes was insignificant in the control group. This fact maybe due to the differences between participant baseline characteristic such an educational background.
通过Android应用中的食物分析整合红绿灯饮食系统,用于青少年营养教育:减少糖、盐和脂肪消耗的策略
在当今的全球食品消费趋势中,高糖、高盐和高脂肪的饮食占主导地位,特别是在经常使用在线订餐系统的青少年中。因此,监测营养摄入变得越来越重要。交通灯饮食应用程序作为一种工具,帮助跟踪在线食品购买的营养成分。本研究旨在提高青少年对健康食品选择的认识和态度。方法采用准实验研究设计,对对照组和干预组分别采用前测和后测相结合的方法进行研究。样本包括来自Airlangga大学的110名参与者,年龄在18-25岁之间,拥有能够下载应用程序的Android设备。参与者被招募并随机分配,通过自述问卷收集数据,并通过SPSS应用程序使用独立和依赖t检验进行分析。结果两组接受营养教育后,知识水平均有显著提高。然而,在教育后的态度上没有发现显著的差异。具体而言,对照组在态度上没有显著差异,而干预组有显著差异。讨论虽然两组在知识和态度方面都表现出教育后的改善,但对照组表现出更高的分数。虽然营养教育与知识之间存在显著的影响,但对态度的影响在对照组中不显著。这一事实可能是由于参与者之间的基线特征,如教育背景的差异。这些发现表明,交通灯饮食应用程序是有用的,但仍有改进的余地,以更好地影响参与者对营养的态度。虽然营养教育与知识之间存在显著的影响,但对态度的影响在对照组中不显著。这一事实可能是由于参与者之间的基线特征,如教育背景的差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Clinical Nutrition Open Science
Clinical Nutrition Open Science Nursing-Nutrition and Dietetics
CiteScore
2.20
自引率
0.00%
发文量
55
审稿时长
18 weeks
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