• 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

一项关于在线体育活动减肥干预措施的使用与效果之间剂量反应关系的系统综述。

A systematic review of the dose-response relationship between usage and outcomes of online physical activity weight-loss interventions.

作者信息

Smith Nicholas, Liu Sam

机构信息

School of Exercise Science, Physical and Health Education, University of Victoria, McKinnon Building, PO Box 1700 STN CSC, Victoria, BC V8W 2Y2, Canada.

出版信息

Internet Interv. 2020 Aug 27;22:100344. doi: 10.1016/j.invent.2020.100344. eCollection 2020 Dec.

DOI:10.1016/j.invent.2020.100344
PMID:32995302
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7516044/
Abstract

BACKGROUND

Online physical activity interventions can be an effective strategy for weight loss. However, there is a lack of systematic reviews examining the relationship between intervention usage (dose) and participants' response to online physical activity interventions for weight loss. It remains unclear whether certain usage metrics (e.g. login frequency, percent of content accessed) would be associated with improvements in behavioral outcomes. Understanding the dose-response relationship for online physical activity interventions for weight loss would be important for designing and evaluating future interventions.

OBJECTIVE

  1. Review the methods used to assess intervention usage and 2) to explore the association between intervention usage metrics and outcomes for online physical activity interventions for weight-loss.

METHODS

We conducted a systematic review following the PRISMA guidelines to examine the dose-response relationship of online-based interventions targeting physical activity. We used the following keywords: web OR internet OR online OR eHealth AND physical activity OR exercise, AND engagement OR dose OR dose-response OR usage AND obesity OR weight*. Peer-reviewed articles published between 2006 and 2019 were included.

RESULTS

A total of five articles met the inclusion criteria. The mean intervention length was 10 ± 6 months (range 2-30 months). The usage metrics were total number of logins, login frequency, and usage of online tools. All usage metrics reported were found to be related to outcomes in physical activity interventions for weight-loss.

CONCLUSION

Our findings suggest that usage metrics for online physical activity interventions for weight-loss included login frequency, login duration, and use of online tools. Increased intervention usage appeared to be associated with an improvement in participant's weight, physical activity behaviors, and intervention retention. Future research should examine innovative ways to maintain intervention usage throughout the intervention.

摘要

背景

在线体育活动干预可能是一种有效的减肥策略。然而,缺乏系统评价来研究干预使用情况(剂量)与参与者对在线减肥体育活动干预的反应之间的关系。目前尚不清楚某些使用指标(如登录频率、访问内容的百分比)是否与行为结果的改善相关。了解在线减肥体育活动干预的剂量反应关系对于设计和评估未来的干预措施至关重要。

目的

1)回顾用于评估干预使用情况的方法,2)探讨在线减肥体育活动干预的使用指标与结果之间的关联。

方法

我们按照PRISMA指南进行了一项系统评价,以研究针对体育活动的在线干预的剂量反应关系。我们使用了以下关键词:网络或互联网或在线或电子健康与体育活动或锻炼,以及参与度或剂量或剂量反应或使用情况与肥胖或体重*。纳入了2006年至2019年发表的同行评审文章。

结果

共有五篇文章符合纳入标准。平均干预时长为10±6个月(范围为2 - 30个月)。使用指标包括登录总数、登录频率和在线工具的使用情况。所有报告的使用指标都被发现与减肥体育活动干预的结果相关。

结论

我们的研究结果表明,在线减肥体育活动干预的使用指标包括登录频率、登录时长和在线工具使用情况。干预使用的增加似乎与参与者体重、体育活动行为的改善以及干预保留率的提高有关。未来的研究应探讨在整个干预过程中维持干预使用的创新方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc11/7516044/9defd86a3e7e/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc11/7516044/9defd86a3e7e/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc11/7516044/9defd86a3e7e/gr1.jpg

相似文献

1
A systematic review of the dose-response relationship between usage and outcomes of online physical activity weight-loss interventions.一项关于在线体育活动减肥干预措施的使用与效果之间剂量反应关系的系统综述。
Internet Interv. 2020 Aug 27;22:100344. doi: 10.1016/j.invent.2020.100344. eCollection 2020 Dec.
2
Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.在流行地区,服用抗叶酸抗疟药物的人群中,叶酸补充剂与疟疾易感性和严重程度的关系。
Cochrane Database Syst Rev. 2022 Feb 1;2(2022):CD014217. doi: 10.1002/14651858.CD014217.
3
4
The effect of weight management interventions that include a diet component on weight-related outcomes in pregnant and postpartum women: a systematic review protocol.包含饮食成分的体重管理干预措施对孕妇和产后女性体重相关结局的影响:一项系统评价方案
JBI Database System Rev Implement Rep. 2015 Jan;13(1):88-98. doi: 10.11124/jbisrir-2015-1812.
5
The effectiveness of web-based programs on the reduction of childhood obesity in school-aged children: A systematic review.基于网络的项目对学龄儿童肥胖症减轻的有效性:一项系统评价。
JBI Libr Syst Rev. 2012;10(42 Suppl):1-14. doi: 10.11124/jbisrir-2012-248.
6
Are health behavior change interventions that use online social networks effective? A systematic review.使用在线社交网络的健康行为改变干预措施是否有效?一项系统综述。
J Med Internet Res. 2014 Feb 14;16(2):e40. doi: 10.2196/jmir.2952.
7
8
Understanding usage of a hybrid website and smartphone app for weight management: a mixed-methods study.了解用于体重管理的混合式网站和智能手机应用程序的使用情况:一项混合方法研究。
J Med Internet Res. 2014 Oct 22;16(10):e201. doi: 10.2196/jmir.3579.
9
A Visualization Tool to Analyse Usage of Web-Based Interventions: The Example of Positive Online Weight Reduction (POWeR).一种用于分析基于网络干预措施使用情况的可视化工具:以积极在线减重(POWeR)为例。
JMIR Hum Factors. 2015 May 19;2(1):e8. doi: 10.2196/humanfactors.4310.
10
Does brief telephone support improve engagement with a web-based weight management intervention? Randomized controlled trial.简短的电话支持能否提高对基于网络的体重管理干预措施的参与度?随机对照试验。
J Med Internet Res. 2014 Mar 28;16(3):e95. doi: 10.2196/jmir.3199.

引用本文的文献

1
Weight loss journeys: Exploring social influences and determinants of health in an exploratory rural German intervention.减肥历程:在德国农村进行的一项探索性干预中探究社会影响因素及健康决定因素
PLoS One. 2025 Aug 14;20(8):e0330358. doi: 10.1371/journal.pone.0330358. eCollection 2025.
2
A Mobile Health App Informed by the Multi-Process Action Control Framework to Promote Physical Activity Among Inactive Adults: Iterative Usability Study.一款基于多进程行动控制框架的移动健康应用程序,旨在促进不活跃成年人的身体活动:迭代可用性研究。
JMIR Form Res. 2025 Apr 23;9:e59477. doi: 10.2196/59477.
3
Associations between app usage and behaviour change in a m-health intervention to improve physical activity and sleep health in adults: secondary analyses from two randomised controlled trials.

本文引用的文献

1
Prevalence of Obesity and Severe Obesity Among Adults: United States, 2017-2018.成年人肥胖和重度肥胖的患病率:美国,2017-2018 年。
NCHS Data Brief. 2020 Feb(360):1-8.
2
User Engagement and Attrition in an App-Based Physical Activity Intervention: Secondary Analysis of a Randomized Controlled Trial.基于应用程序的体育活动干预中的用户参与度和流失率:一项随机对照试验的二次分析
J Med Internet Res. 2019 Nov 27;21(11):e14645. doi: 10.2196/14645.
3
Effects of self-guided e-counseling on health behaviors and blood pressure: Results of a randomized trial.
一款移动健康干预应用程序的使用与成年人身体活动和睡眠健康行为改变之间的关联:两项随机对照试验的二次分析
J Act Sedentary Sleep Behav. 2023 Feb 2;2(1):4. doi: 10.1186/s44167-022-00013-1.
4
Does intervention engagement mediate physical activity change in a web-based computer-tailored physical activity intervention?-Secondary outcomes from a randomised controlled trial.在基于网络的计算机定制体育活动干预中,干预参与是否介导了体育活动的变化?——一项随机对照试验的次要结果
Front Digit Health. 2024 May 21;6:1356067. doi: 10.3389/fdgth.2024.1356067. eCollection 2024.
5
Demystifying roles of exercise in immune response regulation against acute respiratory infections: A narrative review.解读运动在调节针对急性呼吸道感染的免疫反应中的作用:一项叙述性综述。
Sports Med Health Sci. 2024 Jan 20;6(2):139-153. doi: 10.1016/j.smhs.2024.01.004. eCollection 2024 Jun.
6
Exploring the Feasibility of Using ChatGPT to Create Just-in-Time Adaptive Physical Activity mHealth Intervention Content: Case Study.探讨使用 ChatGPT 生成即时自适应体育活动 mHealth 干预内容的可行性:案例研究。
JMIR Med Educ. 2024 Feb 29;10:e51426. doi: 10.2196/51426.
7
Promoting Physical and Mental Health among Children and Adolescents via Gamification-A Conceptual Systematic Review.通过游戏化促进儿童和青少年的身心健康——一项概念性系统综述
Behav Sci (Basel). 2024 Jan 29;14(2):102. doi: 10.3390/bs14020102.
8
Designing a Dyad-Based Digital Health Intervention to Reduce Sedentary Time in Black Breast Cancer Survivors and Their First-degree Relatives: Human-Centered Design Study.设计一种基于二元组的数字健康干预措施以减少黑人乳腺癌幸存者及其一级亲属的久坐时间:以人为中心的设计研究。
JMIR Form Res. 2023 May 24;7:e43592. doi: 10.2196/43592.
9
Understanding super engaged users in the 10,000 Steps online physical activity program: A qualitative study.理解“万步网”在线体力活动计划中的超级活跃用户:一项定性研究。
PLoS One. 2022 Oct 21;17(10):e0274975. doi: 10.1371/journal.pone.0274975. eCollection 2022.
10
Effects of Engagement with a Social Media Campaign for Mothers to Prevent Indoor Tanning by Teens in a Randomized Trial.一项随机试验中,参与社交媒体活动对母亲预防青少年室内晒黑的影响。
J Health Commun. 2022 Jun 3;27(6):394-406. doi: 10.1080/10810730.2022.2113839. Epub 2022 Aug 22.
自我引导式电子咨询对健康行为和血压的影响:一项随机试验的结果。
Patient Educ Couns. 2020 Mar;103(3):635-641. doi: 10.1016/j.pec.2019.10.007. Epub 2019 Oct 19.
4
Principles of gamification for Internet interventions.互联网干预措施的游戏化原则。
Transl Behav Med. 2019 Nov 25;9(6):1131-1138. doi: 10.1093/tbm/ibz041.
5
Web-Based Program Exposure and Retention in the Families Improving Together for Weight Loss Trial.基于网络的方案在“家庭一起努力减肥试验”中的使用和保留情况。
Ann Behav Med. 2019 Mar 20;53(4):399-404. doi: 10.1093/abm/kay047.
6
Randomized Controlled Trial of E-Counseling for Hypertension: REACH.高血压电子咨询随机对照试验:REACH
Circ Cardiovasc Qual Outcomes. 2018 Jul;11(7):e004420. doi: 10.1161/CIRCOUTCOMES.117.004420.
7
Beyond the Trial: Systematic Review of Real-World Uptake and Engagement With Digital Self-Help Interventions for Depression, Low Mood, or Anxiety.试验之外:对抑郁症、情绪低落或焦虑症数字自助干预措施的现实世界采用情况和参与度的系统评价
J Med Internet Res. 2018 Jun 6;20(6):e199. doi: 10.2196/jmir.9275.
8
Effectiveness of User- and Expert-Driven Web-based Hypertension Programs: an RCT.基于用户和专家驱动的网络高血压项目的有效性:一项 RCT 研究。
Am J Prev Med. 2018 Apr;54(4):576-583. doi: 10.1016/j.amepre.2018.01.009. Epub 2018 Feb 16.
9
The effectiveness of a web 2.0 physical activity intervention in older adults - a randomised controlled trial.基于 Web 2.0 的身体活动干预对老年人效果的随机对照试验。
Int J Behav Nutr Phys Act. 2018 Jan 12;15(1):4. doi: 10.1186/s12966-017-0641-5.
10
A Web-Based, Social Networking Physical Activity Intervention for Insufficiently Active Adults Delivered via Facebook App: Randomized Controlled Trial.通过Facebook应用程序为运动不足的成年人提供的基于网络的社交网络体育活动干预:随机对照试验。
J Med Internet Res. 2015 Jul 13;17(7):e174. doi: 10.2196/jmir.4086.