TY - JOUR AU - Ji, Yuwei AU - Plourde, Hugues AU - Bouzo, Valerie AU - Kilgour, Robert D AU - Cohen, Tamara R PY - 2020 DA - 20/9/9 TI -在评估加拿大成年人膳食摄入量时，基于智能手机图像的膳食评估应用程序的有效性和可用性:随机对照试验JO - JMIR Mhealth Uhealth SP - e16953 VL - 8 IS - 9 KW -移动食品记录KW -有效性KW -基于图像的膳食评估KW -健康成人KW - 3天饮食日记KW -饮食KW -应用KW -营养KW - Mhealth KW -加拿大AB -背景:在包括营养摄入分析的研究中需要准确的膳食评估。基于图像的饮食评估应用程序在评估饮食方面越来越受欢迎，与传统的纸笔方法相比，这可能会减轻研究人员和参与者的负担。然而，很少有研究报告这些应用程序用于研究的有效性。Keenoa是一款基于智能手机图像的饮食评估应用程序，可以使用人工智能识别和识别食物，并允许实时编辑食物杂志。目的:本研究旨在评估基于图像的饮食评估应用程序- Keenoa -相对于3天饮食日记(3DFD)的相对有效性，并测试其在加拿大健康成年人样本中的可用性。方法:我们招募了102名参与者完成两个3天的食物记录。在两周的时间里，在2个非连续的日子和1个周末，参与者以随机的顺序完成了传统的笔对纸的3DFD和Keenoa应用程序。在研究结束时，参与者完成了系统可用性量表。3DFD和Keenoa数据在被营养师(Keenoa-dietitian)审查之前和之后的营养分析使用方差分析进行分析。采用Pearson系数、交叉分类、kappa评分、%差异、配对t检验、Bland-Altman检验等多项检验分析Keenoa (Keenoa-dietitian)量表的效度。 Results: The study was completed by 72 subjects. Most variables were significantly different between Keenoa-participant and Keenoa-dietitian (P<.05) except for energy, protein, carbohydrates, fiber, vitamin B1, vitamin B12, vitamin C, vitamin D, and potassium. Significant differences in total energy, protein, carbohydrates, % fat, saturated fatty acids, iron, and potassium were found between the 3DFD and Keenoa-dietitian data (P<.05). The Pearson correlation coefficients between the Keenoa-dietitian and 3DFD ranged from .04 to .51. Differences between the mean intakes assessed by the 3DFD and Keenoa-dietitian were within 10% except for vitamin D (misclassification rate=33.8%). The majority of nutrients were within an acceptable range of agreement in the Bland-Altman analysis; no agreements were seen for total energy, protein, carbohydrates, fat (%), saturated fatty acids, iron, potassium, and sodium (P<.05). According to the System Usability Scale, 34.2% of the participants preferred using Keenoa, while 9.6% preferred the 3DFD. Conclusions: The Keenoa app provides acceptable relative validity for some nutrients compared to the 3DFD. However, the average intake of some nutrients, including energy, protein, carbohydrates, % fat, saturated fatty acids, and iron, differed from the average obtained using the 3DFD. These findings highlight the importance of verifying data entries of participants before proceeding with nutrient analysis. Overall, Keenoa showed better validity at the group level than the individual level, suggesting it can be used when focusing on the dietary intake of the general population. Further research is recommended with larger sample sizes and objective dietary assessment approaches. SN - 2291-5222 UR - https://mhealth.www.mybigtv.com/2020/9/e16953 UR - https://doi.org/10.2196/16953 UR - http://www.ncbi.nlm.nih.gov/pubmed/32902389 DO - 10.2196/16953 ID - info:doi/10.2196/16953 ER -