• 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

公开可用的体育活动应用程序的质量:综述与内容分析

Quality of Publicly Available Physical Activity Apps: Review and Content Analysis.

作者信息

Bondaronek Paulina, Alkhaldi Ghadah, Slee April, Hamilton Fiona L, Murray Elizabeth

机构信息

eHealth Unit, Research Department of Primary Care and Population Health, University College London, London, United Kingdom.

Community Health Sciences Department, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.

出版信息

JMIR Mhealth Uhealth. 2018 Mar 21;6(3):e53. doi: 10.2196/mhealth.9069.

DOI:10.2196/mhealth.9069
PMID:29563080
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5885062/
Abstract

BACKGROUND

Within the new digital health landscape, the rise of health apps creates novel prospects for health promotion. The market is saturated with apps that aim to increase physical activity (PA). Despite the wide distribution and popularity of PA apps, there are limited data on their effectiveness, user experience, and safety of personal data.

OBJECTIVE

The purpose of this review and content analysis was to evaluate the quality of the most popular PA apps on the market using health care quality indicators.

METHODS

The top-ranked 400 free and paid apps from iTunes and Google Play stores were screened. Apps were included if the primary behavior targeted was PA, targeted users were adults, and the apps had stand-alone functionality. The apps were downloaded on mobile phones and assessed by 2 reviewers against the following quality assessment criteria: (1) users' data privacy and security, (2) presence of behavior change techniques (BCTs) and quality of the development and evaluation processes, and (3) user ratings and usability.

RESULTS

Out of 400 apps, 156 met the inclusion criteria, of which 65 apps were randomly selected to be downloaded and assessed. Almost 30% apps (19/65) did not have privacy policy. Every app contained at least one BCT, with an average number of 7 and a maximum of 13 BCTs. All but one app had commercial affiliation, 12 consulted an expert, and none reported involving users in the app development. Only 12 of 65 apps had a peer-reviewed study connected to the app. User ratings were high, with only a quarter of the ratings falling below 4 stars. The median usability score was excellent-86.3 out of 100.

CONCLUSIONS

Despite the popularity of PA apps available on the commercial market, there were substantial shortcomings in the areas of data safety and likelihood of effectiveness of the apps assessed. The limited quality of the apps may represent a missed opportunity for PA promotion.

摘要

背景

在新的数字健康格局中,健康应用程序的兴起为健康促进创造了新的前景。市场上充斥着旨在增加身体活动(PA)的应用程序。尽管PA应用程序分布广泛且广受欢迎,但关于其有效性、用户体验和个人数据安全性的数据却很有限。

目的

本综述和内容分析的目的是使用医疗保健质量指标评估市场上最受欢迎的PA应用程序的质量。

方法

对iTunes和谷歌Play商店中排名前400的免费和付费应用程序进行筛选。如果主要针对的行为是PA,目标用户是成年人,且应用程序具有独立功能,则将其纳入。这些应用程序被下载到手机上,并由两名评审员根据以下质量评估标准进行评估:(1)用户数据隐私和安全;(2)行为改变技术(BCT)的存在以及开发和评估过程的质量;(3)用户评分和可用性。

结果

在400个应用程序中,156个符合纳入标准,其中65个应用程序被随机选择下载并评估。近30%的应用程序(19/65)没有隐私政策。每个应用程序至少包含一项BCT,平均数量为7项,最多为13项BCT。除一个应用程序外,所有应用程序都有商业关联,12个咨询了专家,且没有一个报告在应用程序开发中让用户参与。65个应用程序中只有12个有与该应用程序相关的同行评审研究。用户评分较高,只有四分之一的评分低于4星。可用性中位数得分非常好——满分100分中的86.3分。

结论

尽管商业市场上的PA应用程序很受欢迎,但在所评估的应用程序的数据安全和有效性可能性方面存在重大缺陷。应用程序质量有限可能意味着PA推广错失了一个机会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bc0/5885062/05f87a924c3d/mhealth_v6i3e53_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bc0/5885062/80d4cff1db6c/mhealth_v6i3e53_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bc0/5885062/c639360530d8/mhealth_v6i3e53_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bc0/5885062/800e4c914b1a/mhealth_v6i3e53_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bc0/5885062/05f87a924c3d/mhealth_v6i3e53_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bc0/5885062/80d4cff1db6c/mhealth_v6i3e53_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bc0/5885062/c639360530d8/mhealth_v6i3e53_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bc0/5885062/800e4c914b1a/mhealth_v6i3e53_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bc0/5885062/05f87a924c3d/mhealth_v6i3e53_fig4.jpg

相似文献

1
Quality of Publicly Available Physical Activity Apps: Review and Content Analysis.公开可用的体育活动应用程序的质量:综述与内容分析
JMIR Mhealth Uhealth. 2018 Mar 21;6(3):e53. doi: 10.2196/mhealth.9069.
2
Relationship between popularity and the likely efficacy: an observational study based on a random selection on top-ranked physical activity apps.受欢迎程度与可能的疗效之间的关系:一项基于对排名靠前的体育活动应用程序进行随机选择的观察性研究。
BMJ Open. 2019 Nov 14;9(11):e027536. doi: 10.1136/bmjopen-2018-027536.
3
Apps to improve diet, physical activity and sedentary behaviour in children and adolescents: a review of quality, features and behaviour change techniques.改善儿童和青少年饮食、身体活动及久坐行为的应用程序:质量、功能及行为改变技巧综述
Int J Behav Nutr Phys Act. 2017 Jun 24;14(1):83. doi: 10.1186/s12966-017-0538-3.
4
Quality of Physical Activity Apps: Systematic Search in App Stores and Content Analysis.体育活动类应用程序质量:应用商店的系统搜索和内容分析。
JMIR Mhealth Uhealth. 2021 Jun 9;9(6):e22587. doi: 10.2196/22587.
5
An analysis and evaluation of quality and behavioral change techniques among physical activity apps in China.中国运动类应用程序的质量和行为改变技术的分析与评估。
Int J Med Inform. 2020 Jan;133:104029. doi: 10.1016/j.ijmedinf.2019.104029. Epub 2019 Nov 3.
6
Behavior change techniques in popular alcohol reduction apps: content analysis.流行的酒精减少应用程序中的行为改变技术:内容分析
J Med Internet Res. 2015 May 14;17(5):e118. doi: 10.2196/jmir.4060.
7
Smartphone Apps to Support Self-Management of Hypertension: Review and Content Analysis.智能手机应用程序支持高血压的自我管理:综述与内容分析。
JMIR Mhealth Uhealth. 2019 May 28;7(5):e13645. doi: 10.2196/13645.
8
A review and content analysis of engagement, functionality, aesthetics, information quality, and change techniques in the most popular commercial apps for weight management.对最受欢迎的商业体重管理应用程序中的参与度、功能、美学、信息质量和改变技巧进行综述与内容分析。
Int J Behav Nutr Phys Act. 2016 Mar 10;13:35. doi: 10.1186/s12966-016-0359-9.
9
Behavior Change Techniques in mHealth Apps for the Mental and Physical Health of Employees: Systematic Assessment.移动健康应用中促进员工身心健康的行为改变技术:系统评估
JMIR Mhealth Uhealth. 2018 Oct 3;6(10):e167. doi: 10.2196/mhealth.6363.
10
Behavior Change Content, Understandability, and Actionability of Chronic Condition Self-Management Apps Available in France: Systematic Search and Evaluation.法国可用的慢性病自我管理应用程序的行为改变内容、可理解性和可操作性:系统搜索和评估。
JMIR Mhealth Uhealth. 2019 Aug 26;7(8):e13494. doi: 10.2196/13494.

引用本文的文献

1
Adolescents' Assessment of Several Step Tracker Mobile Applications Based on Their Previous Level of Physical Activity.基于青少年先前身体活动水平对几款步数追踪移动应用程序的评估
Children (Basel). 2025 Apr 25;12(5):554. doi: 10.3390/children12050554.
2
Feasibility and preliminary effects of an app-based physical activity intervention for individuals with depression (MoodMover): A protocol for a single-arm, pre-post intervention study.一款基于应用程序的抑郁症患者身体活动干预措施(情绪推动者)的可行性及初步效果:一项单臂干预前后研究方案
PLoS One. 2025 Apr 22;20(4):e0321958. doi: 10.1371/journal.pone.0321958. eCollection 2025.
3

本文引用的文献

1
mHealth Technologies to Influence Physical Activity and Sedentary Behaviors: Behavior Change Techniques, Systematic Review and Meta-Analysis of Randomized Controlled Trials.移动健康技术对身体活动和久坐行为的影响:行为改变技术、随机对照试验的系统评价与荟萃分析
Ann Behav Med. 2017 Apr;51(2):226-239. doi: 10.1007/s12160-016-9846-0.
2
Understanding and Promoting Effective Engagement With Digital Behavior Change Interventions.理解并促进与数字行为改变干预措施的有效互动。
Am J Prev Med. 2016 Nov;51(5):833-842. doi: 10.1016/j.amepre.2016.06.015.
3
Expert Involvement Predicts mHealth App Downloads: Multivariate Regression Analysis of Urology Apps.
Effects of 10 Weeks of Walking With Mobile Step-Tracking Apps on Body Composition, Fitness, and Psychological State in Adolescents Who Are Overweight and Obese: Randomized Controlled Trial.
使用移动步数追踪应用程序进行10周步行对超重和肥胖青少年身体成分、体能及心理状态的影响:随机对照试验
J Med Internet Res. 2024 Dec 10;26:e55243. doi: 10.2196/55243.
4
Impact of the simultaneous distribution of e-learning and exercise videos on the health literacy and lifestyle of college students during the COVID-19 pandemic: a randomized controlled trial.新冠疫情期间电子学习与运动视频同步分发对大学生健康素养和生活方式的影响:一项随机对照试验
J Phys Ther Sci. 2024 Nov;36(11):703-710. doi: 10.1589/jpts.36.703. Epub 2024 Nov 1.
5
Assessment of Step Tracker Mobile Applications for the Promotion of Physical Activity by Adolescents Based on Their Weight Status.基于青少年体重状况评估用于促进其身体活动的步数追踪移动应用程序
Int J Telemed Appl. 2024 Sep 30;2024:8038334. doi: 10.1155/2024/8038334. eCollection 2024.
6
A mobile app-based intervention improves anthropometry, body composition and fitness, regardless of previous active-inactive status: a randomized controlled trial.基于移动应用程序的干预措施可改善人体测量学、身体成分和健康状况,而与之前的活动状态无关:一项随机对照试验。
Front Public Health. 2024 Aug 12;12:1380621. doi: 10.3389/fpubh.2024.1380621. eCollection 2024.
7
Physical Activity, Body Composition, and Fitness Variables in Adolescents After Periods of Mandatory, Promoted or Nonmandatory, Nonpromoted Use of Step Tracker Mobile Apps: Randomized Controlled Trial.青少年在强制性、提倡性或非强制性、非提倡性使用计步器移动应用程序后的一段时间内,其身体活动、身体成分和健康相关体能变量:随机对照试验。
JMIR Mhealth Uhealth. 2024 Jul 30;12:e51206. doi: 10.2196/51206.
8
Physical Activity Promotion in Schools Using Theoretically Designed Mobile Phone Application.使用理论设计的手机应用程序在学校推广体育活动。
Int J Prev Med. 2024 Mar 28;15:14. doi: 10.4103/ijpvm.ijpvm_106_23. eCollection 2024.
9
Effectiveness of mHealth App-Based Interventions for Increasing Physical Activity and Improving Physical Fitness in Children and Adolescents: Systematic Review and Meta-Analysis.基于移动健康应用程序的干预措施对增加儿童和青少年身体活动和改善身体适应性的有效性:系统评价和荟萃分析。
JMIR Mhealth Uhealth. 2024 Apr 30;12:e51478. doi: 10.2196/51478.
10
Identifying app components that promote physical activity: a group concept mapping study.识别促进身体活动的应用程序组件:一项群组概念映射研究。
PeerJ. 2024 Mar 29;12:e17100. doi: 10.7717/peerj.17100. eCollection 2024.
专家参与预测移动健康应用下载量:泌尿科应用的多元回归分析。
JMIR Mhealth Uhealth. 2016 Jul 15;4(3):e86. doi: 10.2196/mhealth.5738.
4
Which Combinations of Techniques and Modes of Delivery in Internet-Based Interventions Effectively Change Health Behavior? A Meta-Analysis.基于互联网的干预措施中,哪些技术与交付模式的组合能有效改变健康行为?一项荟萃分析。
J Med Internet Res. 2016 Jun 7;18(6):e155. doi: 10.2196/jmir.4218.
5
A review and content analysis of engagement, functionality, aesthetics, information quality, and change techniques in the most popular commercial apps for weight management.对最受欢迎的商业体重管理应用程序中的参与度、功能、美学、信息质量和改变技巧进行综述与内容分析。
Int J Behav Nutr Phys Act. 2016 Mar 10;13:35. doi: 10.1186/s12966-016-0359-9.
6
Developing a Framework for Evaluating the Patient Engagement, Quality, and Safety of Mobile Health Applications.开发一个用于评估移动健康应用程序的患者参与度、质量和安全性的框架。
Issue Brief (Commonw Fund). 2016 Feb;5:1-11.
7
The Most Popular Smartphone Apps for Weight Loss: A Quality Assessment.最受欢迎的减肥智能手机应用程序:质量评估。
JMIR Mhealth Uhealth. 2015 Dec 16;3(4):e104. doi: 10.2196/mhealth.4334.
8
Exercise as medicine - evidence for prescribing exercise as therapy in 26 different chronic diseases.运动即良药——26种不同慢性病中将运动作为治疗手段开具处方的证据
Scand J Med Sci Sports. 2015 Dec;25 Suppl 3:1-72. doi: 10.1111/sms.12581.
9
Mobile Phone and Web 2.0 Technologies for Weight Management: A Systematic Scoping Review.用于体重管理的移动电话和Web 2.0技术:一项系统的范围综述。
J Med Internet Res. 2015 Nov 16;17(11):e259. doi: 10.2196/jmir.5129.
10
'Trust but verify'--five approaches to ensure safe medical apps.“信任但要验证”——确保医疗应用程序安全的五种方法。
BMC Med. 2015 Sep 25;13:205. doi: 10.1186/s12916-015-0451-z.