• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

评估饮食追踪智能手机应用 Keenoa:定性分析。

Evaluation of the Diet Tracking Smartphone Application Keenoa: A Qualitative Analysis.

机构信息

School of Human Nutrition, McGill University, Montreal, QC.

PERFORM Centre, Concordia University, Montreal, QC.

出版信息

Can J Diet Pract Res. 2022 Mar 1;83(1):25-29. doi: 10.3148/cjdpr-2021-022. Epub 2021 Sep 28.

DOI:10.3148/cjdpr-2021-022
PMID:34582258
Abstract

Keenoa™ is a novel Canadian diet application (app) currently used by Canadian dietitians to collect diet-related data from clients. The goal of this study was to evaluate Keenoa™ based on user feedback and compare it to a conventional pen and paper method. One hundred and two participants were recruited and randomly assigned to record their diets using this application for 3 nonconsecutive days. Following this, participants were invited to complete an online "exit" survey. Seventy-two subjects responded, with 50 completing an open-ended question asking for general feedback about the app. Data were reviewed and 3 main themes emerged: strengths, challenges, and future recommendations. Strengths associated with the app consisted of picture recognition software, the additional commentary feature, and the overall pleasant data collection process. Challenges that were identified included inconsistencies with the barcode scanning features, the limited food database, time to enter food details, and software issues. Future recommendations included using a larger food database, pairing dietary intake with physical activity monitoring, and having accessible nutritional data. Despite these limitations, participants preferred using mobile apps to record diet compared with traditional written food diaries.

摘要

Keenoa™ 是一款新颖的加拿大饮食应用程序(app),目前被加拿大营养师用于从客户处收集与饮食相关的数据。本研究的目的是根据用户反馈对 Keenoa™ 进行评估,并将其与传统的纸笔方法进行比较。招募了 102 名参与者,并随机分配他们使用该应用程序记录 3 天的饮食情况。之后,邀请参与者完成在线“退出”调查。72 名受试者做出了回应,其中 50 名完成了一个开放式问题,要求对该应用程序提供一般性反馈。对数据进行了审查,出现了 3 个主要主题:优点、挑战和未来建议。该应用程序的优点包括图片识别软件、额外的评论功能和愉快的整体数据收集过程。发现的挑战包括条码扫描功能的不一致性、有限的食物数据库、输入食物详细信息的时间以及软件问题。未来的建议包括使用更大的食物数据库、将饮食摄入与身体活动监测配对,以及提供可访问的营养数据。尽管存在这些限制,与传统的书面食物日记相比,参与者更喜欢使用移动应用程序记录饮食。

相似文献

1
Evaluation of the Diet Tracking Smartphone Application Keenoa: A Qualitative Analysis.评估饮食追踪智能手机应用 Keenoa:定性分析。
Can J Diet Pract Res. 2022 Mar 1;83(1):25-29. doi: 10.3148/cjdpr-2021-022. Epub 2021 Sep 28.
2
Validity and Usability of a Smartphone Image-Based Dietary Assessment App Compared to 3-Day Food Diaries in Assessing Dietary Intake Among Canadian Adults: Randomized Controlled Trial.智能手机图像膳食评估应用与 3 天食物日记评估加拿大成年人膳食摄入量的有效性和可用性:随机对照试验。
JMIR Mhealth Uhealth. 2020 Sep 9;8(9):e16953. doi: 10.2196/16953.
3
Feasibility of a commercial smartphone application for dietary assessment in epidemiological research and comparison with 24-h dietary recalls.商业智能手机应用程序用于流行病学研究中的膳食评估的可行性,并与 24 小时膳食回忆进行比较。
Nutr J. 2018 Jan 9;17(1):5. doi: 10.1186/s12937-018-0315-4.
4
Popular Nutrition-Related Mobile Apps: A Feature Assessment.热门营养相关移动应用程序:功能评估。
JMIR Mhealth Uhealth. 2016 Aug 1;4(3):e85. doi: 10.2196/mhealth.5846.
5
Results of the Clinician Apps Survey, How Clinicians Working With Patients With Diabetes and Obesity Use Mobile Health Apps.临床医生应用程序调查结果,糖尿病和肥胖患者的临床医生如何使用移动健康应用程序。
J Nutr Educ Behav. 2018 Jan;50(1):62-69.e1. doi: 10.1016/j.jneb.2017.06.004.
6
Perspectives and Preferences of Adult Smartphone Users Regarding Nutrition and Diet Apps: Web-Based Survey Study.成人智能手机用户对营养和饮食类应用程序的看法和偏好:基于网络的调查研究。
JMIR Mhealth Uhealth. 2021 Jul 30;9(7):e27885. doi: 10.2196/27885.
7
Diet app use by sports dietitians: a survey in five countries.运动营养师对饮食类 APP 的使用情况:五个国家的调查。
JMIR Mhealth Uhealth. 2015 Jan 22;3(1):e7. doi: 10.2196/mhealth.3345.
8
Development and preliminary validity of an Indonesian mobile application for a balanced and sustainable diet for obesity management.开发和初步验证一种用于肥胖管理的平衡和可持续饮食的印度尼西亚移动应用程序。
BMC Public Health. 2022 Jun 20;22(1):1221. doi: 10.1186/s12889-022-13579-x.
9
Design and Development of 'Diet DQ Tracker': A Smartphone Application for Augmenting Dietary Assessment.“饮食 DQ 追踪器”的设计与开发:一款用于增强饮食评估的智能手机应用程序。
Nutrients. 2023 Jun 27;15(13):2901. doi: 10.3390/nu15132901.
10
The use of a food logging app in the naturalistic setting fails to provide accurate measurements of nutrients and poses usability challenges.在自然环境中使用食物记录应用程序无法提供准确的营养测量值,并存在可用性挑战。
Nutrition. 2019 Jan;57:208-216. doi: 10.1016/j.nut.2018.05.003. Epub 2018 May 25.

引用本文的文献

1
Multidisciplinary Care in a Public University Family Medicine Group in Québec (Canada): Data on Patients' Follow-Up and Cardiometabolic Risk Management.加拿大魁北克一所公立大学家庭医学组的多学科护理:患者随访及心脏代谢风险管理数据
Healthcare (Basel). 2025 Jul 15;13(14):1704. doi: 10.3390/healthcare13141704.
2
The Effect of the Menstrual Cycle on Energy Intake: A Systematic Review and Meta-analysis.月经周期对能量摄入的影响:一项系统评价与荟萃分析。
Nutr Rev. 2025 Mar 1;83(3):e866-e876. doi: 10.1093/nutrit/nuae093.
3
Myths and Methodologies: Understanding the health impact of head down bedrest for the benefit of older adults and astronauts. Study protocol of the Canadian Bedrest Study.
误区与方法:了解头低位卧床对老年人和宇航员健康影响的研究。加拿大卧床研究方案。
Exp Physiol. 2024 May;109(5):812-827. doi: 10.1113/EP091473. Epub 2024 Feb 19.
4
Relative Validation of an Artificial Intelligence-Enhanced, Image-Assisted Mobile App for Dietary Assessment in Adults: Randomized Crossover Study.人工智能增强型图像辅助移动应用程序用于成人膳食评估的相对有效性验证:随机交叉研究。
J Med Internet Res. 2022 Nov 21;24(11):e40449. doi: 10.2196/40449.
5
Multimedia Data-Based Mobile Applications for Dietary Assessment.基于多媒体数据的膳食评估移动应用程序。
J Diabetes Sci Technol. 2023 Jul;17(4):1056-1065. doi: 10.1177/19322968221085026. Epub 2022 Mar 29.