• 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

相似文献

1
Adherence to Diet Applications Using a Smartphone Was Associated With Weight Loss in Healthy Overweight Adults Irrespective of the Application.无论使用何种应用程序，健康超重成年人使用智能手机坚持饮食应用程序与体重减轻有关。
J Diabetes Sci Technol. 2017 Jan;11(1):184-185. doi: 10.1177/1932296816656209. Epub 2016 Jul 9.
2
Successful weight reduction and maintenance by using a smartphone application in those with overweight and obesity.利用智能手机应用程序帮助超重和肥胖人群成功减轻体重并维持体重。
Sci Rep. 2016 Nov 7;6:34563. doi: 10.1038/srep34563.
3
Adherence as a predictor of weight loss in a commonly used smartphone application.在一款常用智能手机应用程序中，依从性作为体重减轻的预测指标。
Obes Res Clin Pract. 2017 Mar-Apr;11(2):206-214. doi: 10.1016/j.orcp.2016.05.001. Epub 2016 Jun 10.
4
Defining Adherence to Dietary Self-Monitoring Using a Mobile App: A Narrative Review.使用移动应用程序定义饮食自我监测的依从性：叙事性综述。
J Acad Nutr Diet. 2018 Nov;118(11):2094-2119. doi: 10.1016/j.jand.2018.05.011. Epub 2018 Aug 13.
5
A systematic review of the effectiveness of smartphone applications that encourage dietary self-regulatory strategies for weight loss in overweight and obese adults.一项系统评价智能手机应用程序鼓励超重和肥胖成年人进行饮食自我调节策略以减肥的有效性。
Obes Rev. 2016 Sep;17(9):895-906. doi: 10.1111/obr.12428. Epub 2016 May 18.
6
Smartphone technology facilitates dietary change in healthy adults.智能手机技术有助于健康成年人改变饮食习惯。
Nutrition. 2017 Jan;33:343-347. doi: 10.1016/j.nut.2016.08.003. Epub 2016 Aug 24.
7
Dietary self-monitoring, but not dietary quality, improves with use of smartphone app technology in an 8-week weight loss trial.在一项为期8周的减肥试验中，使用智能手机应用程序技术可改善饮食自我监测情况，但对饮食质量无改善作用。
J Nutr Educ Behav. 2014 Sep-Oct;46(5):440-4. doi: 10.1016/j.jneb.2014.04.291.
8
Weight Loss Following Use of a Smartphone Food Photo Feature: Retrospective Cohort Study.使用智能手机食物拍照功能后的体重减轻：回顾性队列研究。
JMIR Mhealth Uhealth. 2019 May 29;7(6):e11917. doi: 10.2196/11917.
9
An Ecological Momentary Intervention for weight loss and healthy eating via smartphone and Internet: study protocol for a randomised controlled trial.一项通过智能手机和互联网进行减肥与健康饮食的生态瞬时干预：一项随机对照试验的研究方案
Trials. 2016 Mar 22;17:154. doi: 10.1186/s13063-016-1280-x.
10
Use of a Smartphone Application Can Improve Assessment of High-Fat Food Consumption in Overweight Individuals.使用智能手机应用程序可以改善超重个体高脂肪食物摄入的评估。
Nutrients. 2018 Nov 6;10(11):1692. doi: 10.3390/nu10111692.

引用本文的文献

1
Integrated GPS-Enabled Physical Activity and Dietary Interventions Versus Physical Activity Alone for Obesity Control: A Systematic Review and Meta-Analysis.集成全球定位系统的身体活动与饮食干预措施和单纯身体活动干预措施对控制肥胖的效果比较：一项系统评价和荟萃分析
Nutrients. 2025 May 30;17(11):1886. doi: 10.3390/nu17111886.
2
Evaluating the Quality and Comparative Validity of Manual Food Logging and Artificial Intelligence-Enabled Food Image Recognition in Apps for Nutrition Care.评估营养护理应用程序中手动食物记录和人工智能支持的食物图像识别的质量和比较有效性。
Nutrients. 2024 Aug 5;16(15):2573. doi: 10.3390/nu16152573.
3
Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity.移动健康（m-health）智能手机干预措施用于超重或肥胖的青少年和成年人。
Cochrane Database Syst Rev. 2024 Feb 20;2(2):CD013591. doi: 10.1002/14651858.CD013591.pub2.
4
The Effectiveness of Combining Nonmobile Interventions With the Use of Smartphone Apps With Various Features for Weight Loss: Systematic Review and Meta-analysis.结合具有各种功能的智能手机应用的非移动干预措施与减肥效果的系统评价和 Meta 分析。
JMIR Mhealth Uhealth. 2022 Apr 8;10(4):e35479. doi: 10.2196/35479.
5
Modelling the Cost-Effectiveness of Implementing a Dietary Intervention in Renal Transplant Recipients.建立饮食干预在肾移植受者中的成本效益模型。
Nutrients. 2021 Apr 2;13(4):1175. doi: 10.3390/nu13041175.
6
Current Developments in Digital Quantitative Volume Estimation for the Optimisation of Dietary Assessment.数字定量容积估计在膳食评估优化中的最新进展。
Nutrients. 2020 Apr 22;12(4):1167. doi: 10.3390/nu12041167.
7
Refining an algorithm-powered just-in-time adaptive weight control intervention: A randomized controlled trial evaluating model performance and behavioral outcomes.优化基于算法的即时自适应体重控制干预措施：一项评估模型性能和行为结果的随机对照试验。
Health Informatics J. 2020 Dec;26(4):2315-2331. doi: 10.1177/1460458220902330. Epub 2020 Feb 6.
8
User-documented food consumption data from publicly available apps: an analysis of opportunities and challenges for nutrition research.用户记录的来自公开可用应用程序的食物消费数据：营养研究的机会和挑战分析。
Nutr J. 2018 Jun 9;17(1):59. doi: 10.1186/s12937-018-0366-6.

本文引用的文献

1
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.
2
Dietary self-monitoring, but not dietary quality, improves with use of smartphone app technology in an 8-week weight loss trial.在一项为期8周的减肥试验中，使用智能手机应用程序技术可改善饮食自我监测情况，但对饮食质量无改善作用。
J Nutr Educ Behav. 2014 Sep-Oct;46(5):440-4. doi: 10.1016/j.jneb.2014.04.291.
3
The technology boom: a new era in obesity management.科技热潮：肥胖管理的新时代。
J Diabetes Sci Technol. 2014 May;8(3):596-608. doi: 10.1177/1932296814525189. Epub 2014 Feb 27.
4
Randomized controlled pilot study testing use of smartphone technology for obesity treatment.一项测试智能手机技术用于肥胖症治疗的随机对照试点研究。
J Obes. 2013;2013:151597. doi: 10.1155/2013/151597. Epub 2013 Dec 10.
5
Adherence to a smartphone application for weight loss compared to website and paper diary: pilot randomized controlled trial.与网站和纸质日记相比，使用智能手机应用程序进行减肥的依从性：试点随机对照试验。
J Med Internet Res. 2013 Apr 15;15(4):e32. doi: 10.2196/jmir.2283.

Adherence to Diet Applications Using a Smartphone Was Associated With Weight Loss in Healthy Overweight Adults Irrespective of the Application.

作者信息

Thompson-Felty Claudia, Johnston Carol S

机构信息

1 School of Nutrition and Health Promotion, Arizona State University, Phoenix, AZ, USA.

出版信息

J Diabetes Sci Technol. 2017 Jan;11(1):184-185. doi: 10.1177/1932296816656209. Epub 2016 Jul 9.

DOI:10.1177/1932296816656209
PMID:27334302
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5375066/
Abstract
摘要