Lieffers Jessica R L, Hanning Rhona M
School of Public Health and Health Systems, University of Waterloo, Waterloo, ON, Canada.
Can J Diet Pract Res. 2012 Fall;73(3):e253-60. doi: 10.3148/73.3.2012.e253.
Nutrition applications for mobile devices (e.g., personal digital assistants, smartphones) are becoming increasingly accessible and can assist with the difficult task of intake recording for dietary assessment and self-monitoring. This review is a compilation and discussion of research on this tool for dietary intake documentation in healthy populations and those trying to lose weight. The purpose is to compare this tool with conventional methods (e.g., 24-hour recall interviews, paper-based food records). Research databases were searched from January 2000 to April 2011, with the following criteria: healthy or weight loss populations, use of a mobile device nutrition application, and inclusion of at least one of three measures, which were the ability to capture dietary intake in comparison with conventional methods, dietary self-monitoring adherence, and changes in anthropometrics and/or dietary intake. Eighteen studies are discussed. Two application categories were identified: those with which users select food and portion size from databases and those with which users photograph their food. Overall, positive feedback was reported with applications. Both application types had moderate to good correlations for assessing energy and nutrient intakes in comparison with conventional methods. For self-monitoring, applications versus conventional techniques (often paper records) frequently resulted in better self-monitoring adherence, and changes in dietary intake and/or anthropometrics. Nutrition applications for mobile devices have an exciting potential for use in dietetic practice.
移动设备(如个人数字助理、智能手机)上的营养应用程序越来越容易获取,可协助完成饮食评估和自我监测中摄入量记录这项艰巨任务。本综述是对该工具用于健康人群和减肥人群饮食摄入量记录的研究进行的汇总与讨论。目的是将此工具与传统方法(如24小时回顾访谈、纸质食物记录)进行比较。检索了2000年1月至2011年4月的研究数据库,检索标准如下:健康或减肥人群、使用移动设备营养应用程序、纳入以下三项指标中的至少一项,即与传统方法相比捕捉饮食摄入量的能力、饮食自我监测依从性以及人体测量学和/或饮食摄入量的变化。共讨论了18项研究。确定了两类应用程序:一类是用户从数据库中选择食物和份量大小的应用程序,另一类是用户拍摄食物的应用程序。总体而言,应用程序得到了积极反馈。与传统方法相比,这两类应用程序在评估能量和营养素摄入量方面都有中度到良好的相关性。对于自我监测,应用程序与传统技术(通常是纸质记录)相比,常常能带来更好的自我监测依从性,以及饮食摄入量和/或人体测量学方面的变化。移动设备的营养应用程序在饮食实践中具有令人兴奋的应用潜力。