• 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

可穿戴设备和物联网中行为改变技术的综合综述:对健康和幸福的影响

A Comprehensive Review of Behavior Change Techniques in Wearables and IoT: Implications for Health and Well-Being.

作者信息

Del-Valle-Soto Carolina, López-Pimentel Juan Carlos, Vázquez-Castillo Javier, Nolazco-Flores Juan Arturo, Velázquez Ramiro, Varela-Aldás José, Visconti Paolo

机构信息

Facultad de Ingeniería, Universidad Panamericana, Álvaro del Portillo 49, Zapopan 45010, Mexico.

Department of Informatics and Networking, Universidad Autónoma del Estado de Quintana Roo, Chetumal 77019, Mexico.

出版信息

Sensors (Basel). 2024 Apr 10;24(8):2429. doi: 10.3390/s24082429.

DOI:10.3390/s24082429
PMID:38676044
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11054424/
Abstract

This research paper delves into the effectiveness and impact of behavior change techniques fostered by information technologies, particularly wearables and Internet of Things (IoT) devices, within the realms of engineering and computer science. By conducting a comprehensive review of the relevant literature sourced from the Scopus database, this study aims to elucidate the mechanisms and strategies employed by these technologies to facilitate behavior change and their potential benefits to individuals and society. Through statistical measurements and related works, our work explores the trends over a span of two decades, from 2000 to 2023, to understand the evolving landscape of behavior change techniques in wearable and IoT technologies. A specific focus is placed on a case study examining the application of behavior change techniques (BCTs) for monitoring vital signs using wearables, underscoring the relevance and urgency of further investigation in this critical intersection of technology and human behavior. The findings shed light on the promising role of wearables and IoT devices for promoting positive behavior modifications and improving individuals' overall well-being and highlighting the need for continued research and development in this area to harness the full potential of technology for societal benefit.

摘要

本研究论文深入探讨了信息技术,特别是可穿戴设备和物联网(IoT)设备所催生的行为改变技术在工程和计算机科学领域的有效性和影响。通过对从Scopus数据库获取的相关文献进行全面综述,本研究旨在阐明这些技术用于促进行为改变的机制和策略,以及它们对个人和社会的潜在益处。通过统计测量和相关研究,我们的工作探索了2000年至2023年这二十年期间的趋势,以了解可穿戴设备和物联网技术中行为改变技术的演变情况。特别关注了一个案例研究,该研究考察了使用可穿戴设备监测生命体征的行为改变技术(BCTs)的应用,强调了在技术与人类行为这一关键交叉领域进一步研究的相关性和紧迫性。研究结果揭示了可穿戴设备和物联网设备在促进积极行为改变以及改善个人整体幸福感方面的潜在作用,并强调了在该领域持续进行研发的必要性,以便充分发挥技术对社会的益处。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/ecc0eed5482c/sensors-24-02429-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/0af372658570/sensors-24-02429-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/99d24593dcde/sensors-24-02429-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/07e1228595df/sensors-24-02429-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/b9d450586464/sensors-24-02429-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/3421b6544fa1/sensors-24-02429-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/87824ac6b382/sensors-24-02429-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/1c3defd5aaff/sensors-24-02429-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/52fbe31bb546/sensors-24-02429-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/75b8e65ca353/sensors-24-02429-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/96eea1a27c77/sensors-24-02429-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/548f06acaa73/sensors-24-02429-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/e002c49f315d/sensors-24-02429-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/2b9e8001d5d7/sensors-24-02429-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/1d8ff2a7a1fe/sensors-24-02429-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/3a10536ec822/sensors-24-02429-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/e0f3e62d6195/sensors-24-02429-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/ecc0eed5482c/sensors-24-02429-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/0af372658570/sensors-24-02429-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/99d24593dcde/sensors-24-02429-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/07e1228595df/sensors-24-02429-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/b9d450586464/sensors-24-02429-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/3421b6544fa1/sensors-24-02429-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/87824ac6b382/sensors-24-02429-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/1c3defd5aaff/sensors-24-02429-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/52fbe31bb546/sensors-24-02429-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/75b8e65ca353/sensors-24-02429-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/96eea1a27c77/sensors-24-02429-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/548f06acaa73/sensors-24-02429-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/e002c49f315d/sensors-24-02429-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/2b9e8001d5d7/sensors-24-02429-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/1d8ff2a7a1fe/sensors-24-02429-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/3a10536ec822/sensors-24-02429-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/e0f3e62d6195/sensors-24-02429-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9066/11054424/ecc0eed5482c/sensors-24-02429-g017.jpg

相似文献

1
A Comprehensive Review of Behavior Change Techniques in Wearables and IoT: Implications for Health and Well-Being.可穿戴设备和物联网中行为改变技术的综合综述:对健康和幸福的影响
Sensors (Basel). 2024 Apr 10;24(8):2429. doi: 10.3390/s24082429.
2
Wearables and Internet of Things (IoT) Technologies for Fitness Assessment: A Systematic Review.可穿戴设备和物联网 (IoT) 技术在健身评估中的应用:系统评价。
Sensors (Basel). 2021 Aug 11;21(16):5418. doi: 10.3390/s21165418.
3
Unveiling wearables: exploring the global landscape of biometric applications and vital signs and behavioral impact.揭开可穿戴设备的面纱:探索生物识别应用、生命体征及行为影响的全球格局。
BioData Min. 2024 Jun 11;17(1):15. doi: 10.1186/s13040-024-00368-y.
4
Internet of things (IoT) applications for elderly care: a reflective review.物联网(IoT)在老年护理中的应用:反思性回顾。
Aging Clin Exp Res. 2021 Apr;33(4):855-867. doi: 10.1007/s40520-020-01545-9. Epub 2020 Apr 10.
5
Wearing the Future-Wearables to Empower Users to Take Greater Responsibility for Their Health and Care: Scoping Review.穿戴式未来科技赋予用户更大的健康和护理自主权:范围综述。
JMIR Mhealth Uhealth. 2022 Jul 13;10(7):e35684. doi: 10.2196/35684.
6
Longitudinal Coadaptation of Older Adults With Wearables and Voice-Activated Virtual Assistants: Scoping Review.老年人穿戴设备和语音激活虚拟助手的纵向协同适应:范围综述。
J Med Internet Res. 2024 Aug 7;26:e57258. doi: 10.2196/57258.
7
Big data collision: the internet of things, wearable devices and genomics in the study of neurological traits and disease.大数据碰撞:物联网、可穿戴设备和基因组学在神经特征和疾病研究中的应用。
Hum Mol Genet. 2018 May 1;27(R1):R35-R39. doi: 10.1093/hmg/ddy092.
8
Internet of things-based smart wearable system to monitor sports person health.基于物联网的智能可穿戴系统,用于监测运动员的健康状况。
Technol Health Care. 2021;29(6):1249-1262. doi: 10.3233/THC-213004.
9
Internet of Things in Pregnancy Care Coordination and Management: A Systematic Review.物联网在妊娠护理协调和管理中的应用:系统评价。
Sensors (Basel). 2023 Nov 23;23(23):9367. doi: 10.3390/s23239367.
10
Radiology, Mobile Devices, and Internet of Things (IoT).放射学、移动设备和物联网 (IoT)。
J Digit Imaging. 2020 Jun;33(3):735-746. doi: 10.1007/s10278-019-00311-2.

引用本文的文献

1
Integrating Precision Medicine and Digital Health in Personalized Weight Management: The Central Role of Nutrition.将精准医学和数字健康整合到个性化体重管理中:营养的核心作用。
Nutrients. 2025 Aug 20;17(16):2695. doi: 10.3390/nu17162695.
2
Digital public health interventions for the promotion of mental well-being and health behaviors among university students: a rapid review.促进大学生心理健康和健康行为的数字公共卫生干预措施:一项快速综述
BMC Public Health. 2025 Jul 18;25(1):2500. doi: 10.1186/s12889-025-23669-1.
3
Community-Based Intelligent Blood Glucose Management for Older Adults With Type 2 Diabetes Based on the Health Belief Model: Randomized Controlled Trial.

本文引用的文献

1
Effects of Aerobic Exercise on Brain Age and Health in Middle-Aged and Older Adults: A Single-Arm Pilot Clinical Trial.有氧运动对中老年人脑龄及健康的影响:一项单臂先导临床试验
Life (Basel). 2024 Jul 8;14(7):855. doi: 10.3390/life14070855.
2
Increasing physical activity using an just-in-time adaptive digital assistant supported by machine learning: A novel approach for hyper-personalised mHealth interventions.利用机器学习支持的即时自适应数字助理增加身体活动:一种用于超个性化移动健康干预的新方法。
J Biomed Inform. 2023 Aug;144:104435. doi: 10.1016/j.jbi.2023.104435. Epub 2023 Jul 1.
3
Efficacy of an mHealth Behavior Change Intervention for Promoting Physical Activity in the Workplace: Randomized Controlled Trial.
基于健康信念模型的社区老年人2型糖尿病智能血糖管理:随机对照试验
JMIR Mhealth Uhealth. 2025 Jun 19;13:e60227. doi: 10.2196/60227.
4
Wearable Intervention for Alcohol Use Risk and Sleep in Young Adults: A Randomized Clinical Trial.针对年轻成年人酒精使用风险和睡眠的可穿戴式干预:一项随机临床试验。
JAMA Netw Open. 2025 May 1;8(5):e2513167. doi: 10.1001/jamanetworkopen.2025.13167.
5
Technologies for well-being: a grand challenge in connected health.幸福技术:互联健康领域的一项重大挑战。
Front Digit Health. 2024 Oct 30;6:1503554. doi: 10.3389/fdgth.2024.1503554. eCollection 2024.
6
A Comprehensive Review on Harnessing Wearable Technology for Enhanced Depression Treatment.利用可穿戴技术加强抑郁症治疗的综合综述
Cureus. 2024 Aug 5;16(8):e66173. doi: 10.7759/cureus.66173. eCollection 2024 Aug.
移动健康行为改变干预措施在促进职场体力活动中的效果:随机对照试验。
J Med Internet Res. 2023 Apr 27;25:e44108. doi: 10.2196/44108.
4
Behaviour change techniques and intervention characteristics in digital cardiac rehabilitation: a systematic review and meta-analysis of randomised controlled trials.数字心脏康复中行为改变技术和干预特征的系统评价和随机对照试验的荟萃分析。
Health Psychol Rev. 2024 Mar;18(1):189-228. doi: 10.1080/17437199.2023.2185653. Epub 2023 Mar 9.
5
Behavior Change Effectiveness Using Nutrition Apps in People With Chronic Diseases: Scoping Review.利用营养类 APP 改变慢性病患者行为的效果:范围综述。
JMIR Mhealth Uhealth. 2023 Jan 13;11:e41235. doi: 10.2196/41235.
6
Behavior Change Techniques in Digital Health Interventions for Midlife Women: Systematic Review.数字健康干预中老年女性行为改变技术:系统评价。
JMIR Mhealth Uhealth. 2022 Nov 9;10(11):e37234. doi: 10.2196/37234.
7
The Effects of Objective Push-Type Sleep Feedback on Habitual Sleep Behavior and Momentary Symptoms in Daily Life: mHealth Intervention Trial Using a Health Care Internet of Things System.客观推式睡眠反馈对日常生活习惯性睡眠行为和即时症状的影响:使用医疗保健物联网系统的移动健康干预试验。
JMIR Mhealth Uhealth. 2022 Oct 6;10(10):e39150. doi: 10.2196/39150.
8
The Apple Watch for Monitoring Mental Health-Related Physiological Symptoms: Literature Review.用于监测心理健康相关生理症状的苹果手表:文献综述
JMIR Ment Health. 2022 Sep 7;9(9):e37354. doi: 10.2196/37354.
9
Use of the Xiaomi Mi Band for sleep monitoring and its influence on the daily life of older people living in a nursing home.小米手环在养老院老年人睡眠监测中的应用及其对他们日常生活的影响。
Digit Health. 2022 Aug 29;8:20552076221121162. doi: 10.1177/20552076221121162. eCollection 2022 Jan-Dec.
10
Behaviour change techniques that constitute effective planning interventions to improve physical activity and diet behaviour for people with chronic conditions: a systematic review.行为改变技术构成有效的规划干预措施,以改善患有慢性病的人的身体活动和饮食行为:系统评价。
BMJ Open. 2022 Aug 22;12(8):e058229. doi: 10.1136/bmjopen-2021-058229.