• 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

定制化且吸引人的营养行为改变移动健康游戏化框架。

A Tailored and Engaging mHealth Gamified Framework for Nutritional Behaviour Change.

机构信息

Unitat de Salut Digital, Centre Tecnològic de Catalunya, Eurecat, 08005 Barcelona, Spain.

Unitat de Nutrició i Salut, Centre Tecnològic de Catalunya, Eurecat, 43204 Reus, Spain.

出版信息

Nutrients. 2023 Apr 18;15(8):1950. doi: 10.3390/nu15081950.

DOI:10.3390/nu15081950
PMID:37111168
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10142076/
Abstract

Mobile health applications (apps) have been shown to be effective for improving eating habits. However, most of the existing apps rely on calorie and nutrient counting which have several limitations including the difficulty in sustaining long-term use, inaccuracy, and the risk of developing eating disorders. We designed and developed a mHealth framework for nutritional behaviour change, integrated into the CarpeDiem app, that focuses on the intake of key food groups which are known to have a higher impact on health indicators instead of the intake of nutrients. This framework is mainly based on a gamified system that delivers personalized dietary missions to the user and provides motivational recommendations that help the user to achieve these missions. Its design was guided by an evidenced-based theory of behavioural change, the HAPA model, and it is also characterized by the personalization of the system and the use of a recommender system based on advanced artificial intelligence techniques. Overall, the approach used in the present app could foster a sustained improvement of eating habits among the general population, which is the main challenge of dietary interventions, decreasing the risk of developing the chronic diseases associated with unhealthy dietary habits.

摘要

移动健康应用程序(apps)已被证明可以有效改善饮食习惯。然而,大多数现有的应用程序依赖于卡路里和营养计数,这存在几个限制,包括难以长期使用、不准确和饮食失调的风险。我们设计并开发了一个用于营养行为改变的移动健康框架,集成到 CarpeDiem 应用程序中,该框架侧重于摄入关键食物组,这些食物组已知对健康指标有更高的影响,而不是摄入营养物。该框架主要基于一个游戏化系统,为用户提供个性化的饮食任务,并提供激励性建议,帮助用户完成这些任务。它的设计是由行为改变的循证理论 HAPA 模型指导的,其特点还包括系统的个性化和使用基于先进人工智能技术的推荐系统。总的来说,本应用程序中使用的方法可以促进普通人群饮食习惯的持续改善,这是饮食干预的主要挑战,可以降低与不健康饮食习惯相关的慢性疾病的风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bcc4/10142076/aa0489d667fe/nutrients-15-01950-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bcc4/10142076/c535a15ccd06/nutrients-15-01950-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bcc4/10142076/c698225ae491/nutrients-15-01950-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bcc4/10142076/5483d7fc3427/nutrients-15-01950-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bcc4/10142076/ce626087bbe7/nutrients-15-01950-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bcc4/10142076/aa0489d667fe/nutrients-15-01950-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bcc4/10142076/c535a15ccd06/nutrients-15-01950-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bcc4/10142076/c698225ae491/nutrients-15-01950-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bcc4/10142076/5483d7fc3427/nutrients-15-01950-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bcc4/10142076/ce626087bbe7/nutrients-15-01950-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bcc4/10142076/aa0489d667fe/nutrients-15-01950-g005.jpg

相似文献

1
A Tailored and Engaging mHealth Gamified Framework for Nutritional Behaviour Change.定制化且吸引人的营养行为改变移动健康游戏化框架。
Nutrients. 2023 Apr 18;15(8):1950. doi: 10.3390/nu15081950.
2
Archetypes of Gamification: Analysis of mHealth Apps.游戏化的原型:移动健康应用分析。
JMIR Mhealth Uhealth. 2020 Oct 19;8(10):e19280. doi: 10.2196/19280.
3
LIFANA - toward developing a meal recommender system as a dietary support app for the elderly.LIFANA- 开发老年膳食推荐系统作为饮食支持应用程序。
Int J Vitam Nutr Res. 2024 Jun;94(3-4):221-238. doi: 10.1024/0300-9831/a000795. Epub 2023 Oct 25.
4
Evaluating the Impact of Adaptive Personalized Goal Setting on Engagement Levels of Government Staff With a Gamified mHealth Tool: Results From a 2-Month Randomized Controlled Trial.评估游戏化移动健康工具的自适应个性化目标设定对政府工作人员参与度的影响:一项为期 2 个月的随机对照试验的结果。
JMIR Mhealth Uhealth. 2022 Mar 31;10(3):e28801. doi: 10.2196/28801.
5
More Stamina, a Gamified mHealth Solution for Persons with Multiple Sclerosis: Research Through Design.“更多耐力”,一种针对多发性硬化症患者的游戏化移动健康解决方案:通过设计进行研究。
JMIR Mhealth Uhealth. 2018 Mar 2;6(3):e51. doi: 10.2196/mhealth.9437.
6
Quality, Usability, and Effectiveness of mHealth Apps and the Role of Artificial Intelligence: Current Scenario and Challenges.移动医疗应用程序的质量、可用性和有效性以及人工智能的作用:现状与挑战。
J Med Internet Res. 2023 May 4;25:e44030. doi: 10.2196/44030.
7
Encouraging Behavior Changes and Preventing Cardiovascular Diseases Using the Prevent Connect Mobile Health App: Conception and Evaluation of App Quality.使用“预防连接”移动健康应用程序鼓励行为改变并预防心血管疾病:应用程序质量的概念与评估
J Med Internet Res. 2022 Jan 20;24(1):e25384. doi: 10.2196/25384.
8
Change in Nutrient and Dietary Intake in European Children with Cystic Fibrosis after a 6-Month Intervention with a Self-Management mHealth Tool.欧洲囊性纤维化患儿使用自我管理型移动医疗工具 6 个月后营养和饮食摄入的变化。
Nutrients. 2021 May 26;13(6):1801. doi: 10.3390/nu13061801.
9
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.
10
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.

引用本文的文献

1
Effectiveness of remote gamification pulmonary rehabilitation intervention based on the health action process approach theory in older adults with chronic obstructive pulmonary disease: a pilot randomized controlled trial.基于健康行动过程方法理论的远程游戏化肺康复干预对老年慢性阻塞性肺疾病患者的有效性:一项随机对照试验试点研究
Front Med (Lausanne). 2025 Jun 19;12:1576256. doi: 10.3389/fmed.2025.1576256. eCollection 2025.
2
Personal Goals, User Engagement, and Meal Adherence within a Personalised AI-Based Mobile Application for Nutrition and Physical Activity.基于人工智能的个性化营养与体育活动移动应用中的个人目标、用户参与度和饮食依从性
Life (Basel). 2024 Sep 27;14(10):1238. doi: 10.3390/life14101238.

本文引用的文献

1
Nutritional strategies for intervention of diabetes and improvement of β-cell function.糖尿病干预和改善β细胞功能的营养策略。
Biosci Rep. 2023 Feb 27;43(2). doi: 10.1042/BSR20222151.
2
Usage of Mobile Applications or Mobile Health Technology to Improve Diet Quality in Adults.使用移动应用程序或移动健康技术改善成年人的饮食质量。
Nutrients. 2022 Jun 12;14(12):2437. doi: 10.3390/nu14122437.
3
Personalised Nutritional Recommendations Based on Individual Post-Prandial Glycaemic Responses Improve Glycaemic Metrics and PROMs in Patients with Type 2 Diabetes: A Real-World Assessment.
基于个体餐后血糖反应的个性化营养建议可改善 2 型糖尿病患者的血糖指标和 PROMs:一项真实世界评估。
Nutrients. 2022 May 19;14(10):2123. doi: 10.3390/nu14102123.
4
Developing dietary interventions as therapy for cancer.开发饮食干预作为癌症治疗方法。
Nat Rev Cancer. 2022 Aug;22(8):452-466. doi: 10.1038/s41568-022-00485-y. Epub 2022 May 25.
5
The use of Big Data Analytics in healthcare.大数据分析在医疗保健领域的应用。
J Big Data. 2022;9(1):3. doi: 10.1186/s40537-021-00553-4. Epub 2022 Jan 6.
6
A Comprehensive Survey of Image-Based Food Recognition and Volume Estimation Methods for Dietary Assessment.用于饮食评估的基于图像的食物识别和体积估计方法综合调查
Healthcare (Basel). 2021 Dec 3;9(12):1676. doi: 10.3390/healthcare9121676.
7
Using an app to count calories: Motives, perceptions, and connections to thinness- and muscularity-oriented disordered eating.使用应用程序计算卡路里:动机、感知与瘦体重体型导向的饮食障碍的关联。
Eat Behav. 2021 Dec;43:101568. doi: 10.1016/j.eatbeh.2021.101568. Epub 2021 Sep 15.
8
Wearable and Mobile Sensors for Personalized Nutrition.可穿戴和移动传感器在个性化营养中的应用。
ACS Sens. 2021 May 28;6(5):1745-1760. doi: 10.1021/acssensors.1c00553. Epub 2021 May 19.
9
A digital lifestyle behaviour change intervention for the prevention of type 2 diabetes: a qualitative study exploring intuitive engagement with real-time glucose and physical activity feedback.一项预防2型糖尿病的数字生活方式行为改变干预措施:一项探索与实时血糖和身体活动反馈直观互动的定性研究。
BMC Public Health. 2021 Jan 12;21(1):130. doi: 10.1186/s12889-020-09740-z.
10
How the Use of a Patient-Accessible Health Record Contributes to Patient-Centered Care: Scoping Review.患者可访问的健康记录的使用如何有助于以患者为中心的护理:范围综述。
J Med Internet Res. 2021 Jan 11;23(1):e17655. doi: 10.2196/17655.