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评估面向年轻成年人和老年人的定制膳食记录的移动健康应用:随机对照试验。

Evaluating Mobile Health Apps for Customized Dietary Recording for Young Adults and Seniors: Randomized Controlled Trial.

机构信息

Department of Industrial Design, College of Management, Chang Gung University, Taoyuan, Taiwan.

Health Promotion Center, Department of Internal Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan.

出版信息

JMIR Mhealth Uhealth. 2019 Feb 15;7(2):e10931. doi: 10.2196/10931.

DOI:10.2196/10931
PMID:30767906
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6404641/
Abstract

BACKGROUND

The role of individual-tailored dietary recording in mobile phone health apps has become increasingly important in management of self-health care and population-based preventive service. The development of such mobile apps for user-centered designing is still challengeable and requires further scientific evidence.

OBJECTIVE

This study aims to conduct a randomized trial to assess the accuracy and time efficiency of two prototypes for dietary recoding utilization related to the input method of food intake.

METHODS

We first present an innovative combinatorial concept for dietary recording to account for dish variation. One prototype was a self-chosen tab app that featured choosing each food ingredient to synthesize an individual dish, whereas the other was an autonomous exhaustive list app that provided one selection from a comprehensive list of dish items. The concept included commercially available choices that allowed users to more accurately account for their individual food selection. The two mobile apps were compared in a head-to-head parallel randomized trial evaluation. Young adults (n=70, aged 18-29) and older adults (n=35, aged 55-73) were recruited and randomized into two groups for accuracy and response time evaluation based on 12 types of food items in use of the developed self-chosen tab and autonomous exhaustive list apps, respectively.

RESULTS

For the trials based on the self-chosen tab (53 participants) and autonomous exhaustive list groups (52 participants), the two prototypes were found to be highly accurate (>98%). The self-chosen tab app was found to be more efficient, requiring significantly less time for input of 11 of 12 items (P<.05). The self-chosen tab users occasionally neglected to select food attributes, an issue which did not occur in the autonomous exhaustive list group.

CONCLUSIONS

Our study contributes through the scientific evaluation of the transformation step into prototype development to demonstrate that a self-chosen tab app has potentially better opportunity in effectiveness and efficiency. The combinatorial concept offers potential for dietary recording and planning which can account for high food item variability. Our findings on prototype development of diversified dietary recordings provide design consideration and user interaction for related further app development and improvement.

TRIAL REGISTRATION

ISRCTN Registry ISRCTN86142301; http://www.isrctn.com/ ISRCTN86142301 (Archived by WebCite at http://www.webcitation.org/74YLEPYnS).

摘要

背景

在自我健康管理和基于人群的预防服务中,针对个体的饮食记录在移动健康应用程序中的作用变得越来越重要。为用户量身定制的移动应用程序的发展仍然具有挑战性,需要进一步的科学证据。

目的

本研究旨在进行一项随机试验,以评估两种原型在与饮食摄入输入方法相关的饮食记录利用方面的准确性和时间效率。

方法

我们首先提出了一种用于饮食记录的创新组合概念,以考虑菜肴的变化。一个原型是一个自选标签应用程序,其特点是选择每一种食物成分来合成一个单独的菜肴,而另一个是一个自主的详尽列表应用程序,它提供了一个从综合菜单项中选择。该概念包括商业上可用的选择,允许用户更准确地记录他们的个人食物选择。这两个移动应用程序在头对头的平行随机试验评估中进行了比较。招募了年轻成年人(n=70,年龄 18-29 岁)和老年人(n=35,年龄 55-73 岁),并根据使用开发的自选标签和自主详尽列表应用程序的 12 种食物类型,将他们随机分为两组进行准确性和响应时间评估。

结果

对于基于自选标签(53 名参与者)和自主详尽列表组(52 名参与者)的试验,发现这两种原型都非常准确(>98%)。自选标签应用程序被发现效率更高,输入 12 项中的 11 项所需的时间明显更短(P<.05)。自选标签用户偶尔会忽略选择食物属性,而自主详尽列表组则不会出现这种情况。

结论

我们的研究通过将转化步骤科学地纳入原型开发中,为证明自选标签应用程序在有效性和效率方面具有更大的潜力做出了贡献。组合概念为饮食记录和规划提供了潜在的机会,可以考虑到食物的高度变异性。我们在多样化饮食记录的原型开发方面的研究结果为相关的进一步应用程序开发和改进提供了设计考虑和用户交互。

试验注册

ISRCTN 注册处 ISRCTN86142301;http://www.isrctn.com/ISRCTN86142301(由 WebCite 存档于 http://www.webcitation.org/74YLEPYnS)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90f3/6404641/0eb11d680597/mhealth_v7i2e10931_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90f3/6404641/c7a1e95193ca/mhealth_v7i2e10931_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90f3/6404641/0eb11d680597/mhealth_v7i2e10931_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90f3/6404641/c7a1e95193ca/mhealth_v7i2e10931_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90f3/6404641/0eb11d680597/mhealth_v7i2e10931_fig2.jpg

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2
Design of Mobile Health Tools to Promote Goal Achievement in Self-Management Tasks.用于促进自我管理任务中目标达成的移动健康工具设计。
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3
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4
Mobile Health Interventions and RCTs: Structured Taxonomy and Research Framework.移动医疗干预措施和 RCT:结构化分类法和研究框架。
J Med Syst. 2022 Sep 7;46(10):66. doi: 10.1007/s10916-022-01856-6.
5
Measurement Properties of Smartphone Approaches to Assess Diet, Alcohol Use, and Tobacco Use: Systematic Review.智能手机评估饮食、酒精和烟草使用的测量特性:系统评价。
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6
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7
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8
Enabling Older Adults' Health Self-Management through Self-Report and Visualization-A Systematic Literature Review.通过自我报告和可视化实现老年人健康自我管理——系统文献综述。
Sensors (Basel). 2020 Aug 4;20(15):4348. doi: 10.3390/s20154348.
9
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4
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5
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J Biomed Inform. 2016 Dec;64:122-130. doi: 10.1016/j.jbi.2016.10.001. Epub 2016 Oct 5.
6
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7
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9
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