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智能手机应用程序 MyFitnessPal 记录食物的相对有效性。

The relative validity of a food record using the smartphone application MyFitnessPal.

机构信息

Department of Nutrition, Federal University of Sergipe, São Cristóvão, Sergipe, Brazil.

出版信息

Nutr Diet. 2018 Apr;75(2):219-225. doi: 10.1111/1747-0080.12401. Epub 2017 Dec 27.

Abstract

AIM

The present study aimed to validate food records on the application MyFitnessPal (MFP), comparing them with paper-based food records (P-FR).

METHODS

Thirty university students, including males and females, volunteered and recorded dietary intakes on P-FR and MFP food records (MFP-FR). The values of energy, macronutrients and fibre from MFP-FR were compared with data from P-FR, calculated using Brazilian food composition tables. Adjustments for in-person variability and energy intake were performed, and comparisons were made between each data set, using the Wilcoxon signed-rank test, Spearman's correlation and Bland-Altman agreement plots.

RESULTS

Positive moderate correlations between P-FR and MFP-FR for all variables, and non-significant associations for energy and fibre were found. The Bland-Altman plots showed tendency to underestimation and relatively narrow limits of agreement. Carbohydrate and lipids show trends of increasing the degree of overestimation with increased intake, even after data normalisation.

CONCLUSIONS

MFP tends to underestimate ingestion of nutrients probably due to inadequacies in the MFP database. However, MFP showed good relative validity, especially for energy and fibre. Its use, as well as other similar applications, should be encouraged, due to ease of assessing dietary information, although careful usage is recommended because of database gaps.

摘要

目的

本研究旨在验证 MyFitnessPal(MFP)应用程序上的食物记录,将其与纸质食物记录(P-FR)进行比较。

方法

30 名大学生,包括男性和女性,自愿记录 P-FR 和 MFP 食物记录(MFP-FR)中的饮食摄入量。使用巴西食物成分表计算 MFP-FR 中的能量、宏量营养素和纤维值,并与 P-FR 数据进行比较。对个体差异和能量摄入进行了调整,并使用 Wilcoxon 符号秩检验、Spearman 相关和 Bland-Altman 一致性图对每个数据集进行了比较。

结果

P-FR 和 MFP-FR 之间所有变量的相关性均为正,中等程度,能量和纤维无显著相关性。Bland-Altman 图显示出低估的趋势,且一致性界限较窄。碳水化合物和脂质的高估程度随着摄入量的增加而增加,即使在数据归一化后也是如此。

结论

MFP 可能由于其数据库的不足而倾向于低估营养素的摄入量。然而,MFP 显示出良好的相对有效性,特别是对于能量和纤维。由于易于评估饮食信息,应鼓励使用 MFP 及其它类似的应用程序,但由于数据库的缺陷,建议谨慎使用。

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