Popular Nutrition-Related Mobile Apps: An Agreement Assessment Against a UK Reference Method
Popular Nutrition-Related Mobile Apps: An Agreement Assessment Against a UK Reference Method
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DOI：
10.2196/mhealth.9838
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发表时间：
2019-02-20
影响因子：
5
通讯作者：
Lovegrove, Julie A.
中科院分区：
文献类型：
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作者：
Fallaize, Rosalind;Franco, Rodrigo Zenun;Lovegrove, Julie A.
背景：营养相关的应用程序通常被用来提供用户饮食摄入量的信息，但进行的研究有限，以评估它们的结果与标准方法的一致性。目的：我们研究的目的是评估流行的营养相关应用程序在评估能量、可用常量营养素和微量营养素方面的一致性水平，并与英国的参考方法进行比较。方法：我们比较了5个营养相关应用程序(Samsung Health、MyFitnessPal、FatSecret、Noom Coach和Lost It！)对24小时称重食物记录的饮食分析(n=20)。和Dietplan 6(参考法)，使用在英国提供的应用程序版本。我们使用配对t检验和Wilcoxon符号等级检验、相关系数和Bland-Altman曲线图比较了能量、大量营养素(碳水化合物、蛋白质、脂肪、饱和脂肪和纤维)和微量营养素(钠、钙、铁、维生素A和维生素C)的估计值。我们获得了20名参与者(15名女性，5名男性参与者；平均年龄36.3岁；平均体重指数22.9 kg/m(2))的24小时称重食物记录，这些记录来自之前在英国雷丁大学休·辛克莱人类营养单元进行的对照研究。参与者使用标准协议记录了他们在24小时内的食物摄入量。结果：Dietplan 6和节食应用程序在估计能量和饱和脂肪摄入量方面没有显著差异。使用Lost It！估计蛋白质和钠的摄入量明显较低！和脂肪秘密比使用节食计划6。丢掉它！对其他报告的产量(碳水化合物、脂肪、纤维和钠)的估计也明显低于Dietplan 6。与Dietplan 6相比，Samsung Health和MyFitnessPal严重低估了钙、铁和维生素C，尽管维生素A没有显著差异。我们没有观察到Dietplan 6和APP之间的其他显著差异。相关系数从铁的r=-.12(三星健康与饮食计划6)到蛋白质的r=.91(FatSecret与饮食计划6)。Noom Coach仅限于能量输出，但与饮食计划6有很高的相关性(r=0.91)。三星健康的相关性变化最大，能量为r=0.79。Bland-Altman分析揭示了维生素A的潜在比例偏差。结论：研究结果表明，这些应用程序提供的能量和饱和脂肪摄入量的估计值与DietPlan6的估计值相当。除了Lost It！之外，这些应用程序还提供了对碳水化合物、总脂肪和纤维的类似估计。FatSecret和丢掉它！倾向于低估蛋白质和钠。两个APP(Samsung Health和MyFitnessPal)对微量营养素(钙、铁、维生素A和维生素C)摄入量的估计不一致，也不太可靠。丢掉它！是最不能与DietPlan6相提并论的应用。随着应用程序的使用和可用性的增长，这项研究帮助临床医生和研究人员在研究和实践中使用这些应用程序时做出更明智的决定。
Background: Nutrition-related apps are commonly used to provide information about the user's dietary intake, but limited research has been performed to assess how well their outputs agree with those from standard methods.Objective: The objective of our study was to evaluate the level of agreement of popular nutrition-related apps for the assessment of energy and available macronutrients and micronutrients against a UK reference method.Methods: We compared dietary analysis of 24-hour weighed food records (n=20) between 5 nutrition-related apps (Samsung Health, MyFitnessPal, FatSecret, Noom Coach, and Lose It!) and Dietplan6 (reference method), using app versions available in the United Kingdom. We compared estimates of energy, macronutrients (carbohydrate, protein, fat, saturated fat, and fiber), and micronutrients (sodium, calcium, iron, vitamin A, and vitamin C) using paired t tests and Wilcoxon signed-rank tests, correlation coefficients, and Bland-Altman plots. We obtained 24-hour weighed food records from 20 participants (15 female, 5 male participants; mean age 36.3 years; mean body mass index 22.9 kg/m(2)) from previous controlled studies conducted at the Hugh Sinclair Unit of Human Nutrition, University of Reading, Reading, UK. Participants had recorded their food consumption over a 24-hour period using standard protocols.Results: The difference in estimation of energy and saturated fat intake between Dietplan6 and the diet apps was not significant. Estimates of protein and sodium intake were significantly lower using Lose It! and FatSecret than using Dietplan6. Lose It! also gave significantly lower estimates for other reported outputs (carbohydrate, fat, fiber, and sodium) than did Dietplan6. Samsung Health and MyFitnessPal significantly underestimated calcium, iron, and vitamin C compared with Dietplan6, although there was no significant difference for vitamin A. We observed no other significant differences between Dietplan6 and the apps. Correlation coefficients ranged from r=-.12 for iron (Samsung Health vs Dietplan6) to r=.91 for protein (FatSecret vs Dietplan6). Noom Coach was limited to energy output, but it had a high correlation with Dietplan6 (r=.91). Samsung Health had the greatest variation of correlation, with energy at r=.79. Bland-Altman analysis revealed potential proportional bias for vitamin A.Conclusions: The findings suggest that the apps provide estimates of energy and saturated fat intake comparable with estimates by Dietplan6. With the exception of Lose It!, the apps also provided comparable estimates of carbohydrate, total fat, and fiber. FatSecret and Lose It! tended to underestimate protein and sodium. Estimates of micronutrient intake (calcium, iron, vitamin A, and vitamin C) by 2 apps (Samsung Health and MyFitnessPal) were inconsistent and less reliable. Lose It! was the app least comparable with Dietplan6. As the use and availability of apps grows, this study helps clinicians and researchers to make better-informed decisions about using these apps in research and practice.