卫生研究

目的 探索一种基于手机微信小程序的膳食记录工具——“知食AI营养师”应用于膳食记录的准确性。方法 研究对象为浙江大学全日制本科生109人，受调查者完成1轮非连续3天“知食AI营养师”的膳食记录和1轮非连续3天24小时膳食回顾法记录，两种方法必须要有1天重合。整理“知食AI营养师”调查所得的能量、营养素和各类食物摄入量数据，与24小时膳食回顾法的相应调查结果进行比较。采用Pearson相关系数或Spearman相关系数进行相关性分析，组内相关系数进行信度分析，Bland-Atlman散点图进行一致性分析。结果 信度方面，两种方法评估各类食物、能量及营养素的摄入量具有一定的信度，能量校正后，营养素摄入量信度增强。相关性方面，食物组相关系数范围为0.34～0.79(均值0.60),能量及营养素相关系数范围为0.34～0.72(均值0.55)。一致性方面，95%一致性区间范围外的研究对象比例均小于10%,表明两者具有良好的一致性。结论 “知食AI营养师”应用于大学生膳食记录具有良好的准确性。

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.