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Dietary Intake Reporting Accuracy of the Bridge2U Mobile Application Food Log Compared to Control Meal and Dietary Recall Methods

机译:Bridge2U移动应用程序食物日志的膳食摄入报告准确性与对照餐和膳食召回方法的比较

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摘要

Mobile technology introduces opportunity for new methods of dietary assessment. The purpose of this study was to compare the reporting accuracy of a mobile food log application and 24 h recall method to a controlled meal among a convenience sample of adults (18 years of age or older). Participants were recruited from a community/university convenience sample. Participants consumed a pre-portioned control meal, completed mobile food log entry (mfood log), and participated in a dietary recall administered by a registered dietitian (24R). Height, weight, and application use survey data were collected. Sign test, Pearson’s correlation, and descriptive analyses were conducted to examine differences in total and macronutrient energy intake and describe survey responses. Bland Altman plots were examined for agreement between energy intake from control and 24R and mfood log. The 14 included in the analyses were 78.6% female, 85.7% overweight/obese, and 64.3% African American. Mean total energy, protein, and fat intakes reported via the mfood log were significantly (p < 0.05) lower compared to the control, by 268.31kcals, 20.37 g, and 19.51 g, respectively. Only 24R mean fat intake was significantly (p < 0.01) lower than the control, by 6.43 g. Significant associations (r = 0.57–0.60, p < 0.05) were observed between control and mfood log mean energy, carbohydrate, and protein intakes, as well as between control and 24R mean energy (r = 0.64, p = 0.01) and carbohydrate (r = 0.81, p < 0.001) intakes. Bland Altman plots showed wide limits of agreement, which were not statistically significant but may have practical limitations for individual dietary assessment. Responses indicated the ease of and likelihood of daily mfood log use. This study demonstrates that the Bridge2U mfood log is valid for the assessment of group level data, but data may vary too widely for individual assessment. Further investigation is warranted for nutrition intervention research.
机译:移动技术为饮食评估的新方法带来了机遇。这项研究的目的是比较方便携带的成年人(18岁或18岁以上)样本中移动食品日志应用程序和24小时召回方法与控制餐的报告准确性。参与者是从社区/大学便利性样本中招募的。参与者食用了预先分配的对照餐,填写了流动食物日志(mfood log),并参加了由注册营养师(24R)管理的饮食召回。收集了身高,体重和应用程序使用情况调查数据。进行了符号测试,Pearson相关性和描述性分析,以检查总能量摄入量和常量营养素摄入量的差异,并描述调查结果。检查了Bland Altman地块以获取对照和24R和mfood log的能量摄入之间的一致性。分析中包括的14名女性为78.6%,超重/肥胖为85.7%,非裔美国人为64.3%。通过mfood日志报告的平均总能量,蛋白质和脂肪摄入量分别比对照组低268.31 kcal,20.37 gcal和19.51 g(p <0.05)。仅24R的平均脂肪摄入量比对照组低6.43 g(p <0.01)。对照与mfood对数平均能量,碳水化合物和蛋白质摄入量之间的显着相关性(r = 0.57–0.60,p <0.05),以及对照与24R平均能量(r = 0.64,p = 0.01)和碳水化合物之间的显着相关性(r = 0.57–0.60,p <0.05)。 r = 0.81,p <0.001)的摄入量。布兰德·奥特曼(Bland Altman)的地块显示出一致的限制,虽然在统计学上没有显着意义,但对于个人饮食评估可能有实际的限制。回答表明每天使用mfood日志的简便性和可能性。这项研究表明Bridge2U mfood日志对于评估组级别数据是有效的,但是对于个人评估而言,数据可能差异太大。营养干预研究需要进一步调查。

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