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Do Image-Assisted Mobile Applications Improve Dietary Habits Knowledge and Behaviours in Elite Athletes? A Pilot Study

机译:图像辅助的移动应用程序是否可以改善高级运动员的饮食习惯知识和行为?初步研究

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摘要

To date, there has been a paucity of research on optimal ways to educate and promote dietary behavioural change within athletes. Optimising athlete nutrition is fundamental to reaching peak performance and maintaining athlete wellbeing. MealLogger® is a smartphone application that incorporates the use of an image-based food record and social-media functionality to provide in-application personalised feedback to individuals or groups, peer-support, and a platform to deliver nutrition education material. This study measured the feasibility of MealLogger® within New Zealand elite male field hockey players (n = 17) aged 18–20 to increase athlete knowledge and nutrition promoting behaviours. During a six-week intervention, participants were instructed to log images of their meals three days per week and they received individualised dietetic feedback on logged meals. Weekly nutrition-education fact-sheets and videos were delivered through the application. Nutrition knowledge increased moderately from baseline (%Pre 54.7 ± 14.3; %Post 61.1 ± 11.45, p = 0.01). Participants report a highly positive experience of application use (8/10) with 82.3% attempting to make positive changes in dietary behaviours based on in-app education. All participants preferred this method to traditional methods of dietary analysis. Using image-based applications such as MealLogger® is an effective approach to monitor dietary intake and deliver education to optimise the nutritional behaviours of elite athletes.
机译:迄今为止,关于在运动员中教育和促进饮食行为改变的最佳方法的研究很少。优化运动员营养是达到最佳成绩和维持运动员健康的基础。 MealLogger ®是一款智能手机应用程序,结合了基于图像的食物记录和社交媒体功能的使用,可向个人或团体提供应用程序内个性化反馈,同伴支持以及提供平台的平台营养教育资料。这项研究测量了MealLogger ®在18至20岁的新西兰精英男子曲棍球运动员(n = 17)中增加运动员知识和营养促进行为的可行性。在为期六周的干预过程中,参与者被指示每周记录三天的饭菜图像,并且他们收到关于饭菜的个性化饮食反馈。通过该应用程序提供了每周营养教育情况说明书和视频。营养知识从基线开始适度增加(%Pre 54.7±14.3;%Post 61.1±11.45,p = 0.01)。参与者报告了应用程序使用方面的高度积极经验(8/10),其中有82.3%的人试图根据应用程序内教育对饮食行为做出积极改变。所有参与者都比传统的饮食分析方法更喜欢这种方法。使用基于图像的应用程序(例如MealLogger ®)是监控饮食摄入并提供教育以优化精英运动员营养行为的有效方法。

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