[Accuracy verification of diet recording tool based on WeChat applet].

Chunxiao Ni, Keyi Cheng, Shuo Wang, Qin Zou, Zhaoyan Ming, Gangqiang Ding, Min Yang
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Abstract

Objective: To explore the accuracy of a dietary recording tool based on the mobile phone WeChat applet-"Zhishi AI Dietitian" applied to dietary records.

Methods: The research subjects were 109 full-time undergraduates from Zhejiang University. Respondents completed one round of dietary records of "Zhishi AI Dietitian" for three non-consecutive days and one round of non-consecutive three-day 24-hour dietary review method records. The two method must overlap for one day. The energy, nutrients and various food intake data obtained from the Zhishi AI nutritionist survey were sorted and compared with the corresponding survey result of the 24-hour dietary review method. Pearson correlation coefficient or Spearman correlation coefficient was used for correlation analysis, intra-group correlation coefficient was used for reliability analysis, and Bland-Atlman scatter plot was used for consistency analysis.

Results: In terms of reliability, the two method had certain reliability in assessing intake of various foods, energy and nutrients. After energy correction, the reliability of nutrient intake was enhanced. In terms of correlation, the correlation coefficients of food groups ranged from 0.34 to 0.79(mean 0.60), and the energy and nutrient correlation coefficients ranged from 0.34 to 0.72(mean 0.55). In terms of consistency, the proportion of research subjects outside the 95% consistency interval is less than 10%, indicating that the two have good consistency.

Conclusion: Zhishi AI Dietitian applied to college students' dietary records has good accuracy.

【基于微信小程序的饮食记录工具准确性验证】。
目的:探讨基于手机微信小程序“智食AI营养师”的膳食记录工具应用于膳食记录的准确性。方法:以浙江大学109名全日制本科生为研究对象。受访者完成一轮“智时爱营养师”非连续3天的饮食记录和一轮非连续3天的24小时饮食回顾法记录。这两种方法必须重合一天。将智时AI营养师调查获得的能量、营养素及各种食物摄入数据进行整理,并与24小时膳食回顾法的相应调查结果进行对比。相关性分析采用Pearson相关系数或Spearman相关系数,信度分析采用组内相关系数,一致性分析采用Bland-Atlman散点图。结果:在信度方面,两种方法在评估各种食物、能量和营养素的摄入量方面具有一定的信度。能量校正后,营养摄入的可靠性提高。在相关性方面,各食物组的相关系数为0.34 ~ 0.79(平均0.60),能量和营养相关系数为0.34 ~ 0.72(平均0.55)。一致性方面,95%一致性区间外的研究对象比例小于10%,说明两者具有较好的一致性。结论:智时AI营养师适用于大学生;饮食记录具有良好的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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