• 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

可穿戴健身追踪器和活动充足心态对情感、行为和健康的影响:纵向随机对照试验。

Effects of Wearable Fitness Trackers and Activity Adequacy Mindsets on Affect, Behavior, and Health: Longitudinal Randomized Controlled Trial.

机构信息

Department of Organizational Behavior, Stanford University Graduate School of Business, Stanford, CA, United States.

Department of Psychology, Stanford University, Stanford, CA, United States.

出版信息

J Med Internet Res. 2023 Jan 25;25:e40529. doi: 10.2196/40529.

DOI:10.2196/40529
PMID:36696172
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9909519/
Abstract

BACKGROUND

There is some initial evidence suggesting that mindsets about the adequacy and health consequences of one's physical activity (activity adequacy mindsets [AAMs]) can shape physical activity behavior, health, and well-being. However, it is unknown how to leverage these mindsets using wearable technology and other interventions.

OBJECTIVE

This research examined how wearable fitness trackers and meta-mindset interventions influence AAMs, affect, behavior, and health.

METHODS

A total of 162 community-dwelling adults were recruited via flyers and web-based platforms (ie, Craigslist and Nextdoor; final sample size after attrition or exclusion of 45 participants). Participants received an Apple Watch (Apple Inc) to wear for 5 weeks, which was equipped with an app that recorded step count and could display a (potentially manipulated) step count on the watch face. After a baseline week of receiving no feedback about step count, participants were randomly assigned to 1 of 4 experimental groups: they received either accurate step count (reference group; 41/162, 25.3%), 40% deflated step count (40/162, 24.7%), 40% inflated step count (40/162, 24.7%), or accurate step count+a web-based meta-mindset intervention teaching participants the value of adopting more positive AAMs (41/162, 25.3%). Participants were blinded to the condition. Outcome measures were taken in the laboratory by an experimenter at the beginning and end of participation and via web-based surveys in between. Longitudinal analysis examined changes within the accurate step count condition from baseline to treatment and compared them with changes in the deflated step count, inflated step count, and meta-mindset conditions.

RESULTS

Participants receiving accurate step counts perceived their activity as more adequate and healthier, adopted a healthier diet, and experienced improved mental health (Patient-Reported Outcomes Measurement Information System [PROMIS]-29) and aerobic capacity but also reduced functional health (PROMIS-29; compared with their no-step-count baseline). Participants exposed to deflated step counts perceived their activity as more inadequate; ate more unhealthily; and experienced more negative affect, reduced self-esteem and mental health, and increased blood pressure and heart rate (compared with participants receiving accurate step counts). Inflated step counts did not change AAM or most other outcomes (compared with accurate step counts). Participants receiving the meta-mindset intervention experienced improved AAM, affect, functional health, and self-reported physical activity (compared with participants receiving accurate step counts only). Actual step count did not change in either condition.

CONCLUSIONS

AAMs--induced by trackers or adopted deliberately--can influence affect, behavior, and health independently of actual physical activity.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03939572; https://www.clinicaltrials.gov/ct2/show/NCT03939572.

摘要

背景

有一些初步的证据表明,对一个人身体活动的充足性和健康后果的心态(活动充足性心态[AAMs])可以影响身体活动行为、健康和幸福感。然而,目前尚不清楚如何利用可穿戴技术和其他干预措施来利用这些心态。

目的

本研究旨在探讨可穿戴健身追踪器和元心态干预如何影响 AAMs、影响、行为和健康。

方法

共有 162 名社区居民通过传单和基于网络的平台(即 Craigslist 和 Nextdoor;在排除或流失 45 名参与者后,最终样本量)招募。参与者收到了一个 Apple Watch(Apple Inc),佩戴了 5 周,该手表配备了一个可以记录步数的应用程序,并且可以在手表表面显示(可能被操纵的)步数。在基线周不反馈步数后,参与者被随机分配到 4 个实验组中的 1 个:他们分别接受了准确的步数(对照组;41/162,25.3%)、40%虚低的步数(40/162,24.7%)、40%虚高的步数(40/162,24.7%)或准确的步数+一个教授参与者采用更积极的 AAMs 价值的网络元心态干预(41/162,25.3%)。参与者对条件不知情。在参与期间,通过实验室由实验员在开始和结束时进行了结果测量,并通过基于网络的调查进行了中间测量。纵向分析检查了准确步数条件从基线到治疗的变化,并将其与虚低步数、虚高步数和元心态条件的变化进行了比较。

结果

接受准确步数的参与者认为自己的活动更充足、更健康,采用了更健康的饮食,并且心理健康(患者报告的结果测量信息系统[PROMIS]-29)和有氧能力得到改善,但功能性健康(PROMIS-29;与他们无步数的基线相比)有所下降。暴露于虚低步数的参与者认为自己的活动不足;吃得更不健康;负面情绪更多,自尊心和心理健康下降,血压和心率升高(与接受准确步数的参与者相比)。虚高的步数并没有改变 AAM 或大多数其他结果(与准确的步数相比)。接受元心态干预的参与者经历了 AAM、情绪、功能性健康和自我报告的身体活动的改善(与仅接受准确步数的参与者相比)。在任何条件下,实际步数都没有变化。

结论

通过追踪器或故意采用的 AAMs 可以独立于实际身体活动影响情绪、行为和健康。

试验注册

ClinicalTrials.gov NCT03939572;https://www.clinicaltrials.gov/ct2/show/NCT03939572。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fce/9909519/05ededd3c42a/jmir_v25i1e40529_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fce/9909519/ef328a5f9b90/jmir_v25i1e40529_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fce/9909519/c771cd700daf/jmir_v25i1e40529_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fce/9909519/05ededd3c42a/jmir_v25i1e40529_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fce/9909519/ef328a5f9b90/jmir_v25i1e40529_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fce/9909519/c771cd700daf/jmir_v25i1e40529_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1fce/9909519/05ededd3c42a/jmir_v25i1e40529_fig3.jpg

相似文献

1
Effects of Wearable Fitness Trackers and Activity Adequacy Mindsets on Affect, Behavior, and Health: Longitudinal Randomized Controlled Trial.可穿戴健身追踪器和活动充足心态对情感、行为和健康的影响:纵向随机对照试验。
J Med Internet Res. 2023 Jan 25;25:e40529. doi: 10.2196/40529.
2
A Social Group-Based Information-Motivation-Behavior Skill Intervention to Promote Acceptability and Adoption of Wearable Activity Trackers Among Middle-Aged and Older Adults: Cluster Randomized Controlled Trial.基于社交群组的信息-动机-行为技能干预促进中年和老年人可接受性和采用可穿戴活动追踪器:聚类随机对照试验。
JMIR Mhealth Uhealth. 2020 Apr 9;8(4):e14969. doi: 10.2196/14969.
3
Effects of Mobile Health Including Wearable Activity Trackers to Increase Physical Activity Outcomes Among Healthy Children and Adolescents: Systematic Review.移动健康(包括可穿戴活动追踪器)对增加健康儿童和青少年身体活动效果的影响:系统评价。
JMIR Mhealth Uhealth. 2019 Apr 30;7(4):e8298. doi: 10.2196/mhealth.8298.
4
Evaluating Motivational Interviewing and Habit Formation to Enhance the Effect of Activity Trackers on Healthy Adults' Activity Levels: Randomized Intervention.评估动机性访谈和习惯形成对提高活动追踪器对健康成年人活动水平的影响:随机干预。
JMIR Mhealth Uhealth. 2019 Feb 14;7(2):e10988. doi: 10.2196/10988.
5
The effects of step-count monitoring interventions on physical activity: systematic review and meta-analysis of community-based randomised controlled trials in adults.计步监测干预对身体活动的影响:基于社区的成年人随机对照试验的系统评价和荟萃分析。
Int J Behav Nutr Phys Act. 2020 Oct 9;17(1):129. doi: 10.1186/s12966-020-01020-8.
6
The Impact of a Wearable Activity Tracker and Structured Feedback Program on Physical Activity in Hemodialysis Patients: The Step4Life Pilot Randomized Controlled Trial.可穿戴活动追踪器和结构化反馈计划对血液透析患者身体活动的影响:Step4Life 试验性随机对照研究。
Am J Kidney Dis. 2023 Jul;82(1):75-83. doi: 10.1053/j.ajkd.2022.12.011. Epub 2023 Feb 17.
7
Effects of Activity Tracker Use With Health Professional Support or Telephone Counseling on Maintenance of Physical Activity and Health Outcomes in Older Adults: Randomized Controlled Trial.活动追踪器使用结合健康专业人员支持或电话咨询对老年人维持身体活动和健康结果的影响:随机对照试验。
JMIR Mhealth Uhealth. 2021 Jan 5;9(1):e18686. doi: 10.2196/18686.
8
Consumer-Based Wearable Activity Trackers Increase Physical Activity Participation: Systematic Review and Meta-Analysis.基于消费者的可穿戴活动追踪器可提高身体活动参与度:系统评价和荟萃分析。
JMIR Mhealth Uhealth. 2019 Apr 12;7(4):e11819. doi: 10.2196/11819.
9
Impact of Personal Health Records and Wearables on Health Outcomes and Patient Response: Three-Arm Randomized Controlled Trial.个人健康记录和可穿戴设备对健康结果和患者反应的影响:三臂随机对照试验。
JMIR Mhealth Uhealth. 2019 Jan 4;7(1):e12070. doi: 10.2196/12070.
10
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.

引用本文的文献

1
Rise of wearable fitness devices (WFD): Effects of health technician and health consultant affordances on health-promoting behavior in China.可穿戴健身设备(WFD)的兴起:健康技术人员和健康顾问的可供性对中国健康促进行为的影响。
Digit Health. 2025 May 11;11:20552076251338896. doi: 10.1177/20552076251338896. eCollection 2025 Jan-Dec.
2
Connecting women who are diagnosed and treated for breast cancer to engage in physical activity: a two-arm randomized controlled trial.将被诊断患有乳腺癌并接受治疗的女性与体育活动联系起来:一项双臂随机对照试验。
BMC Sports Sci Med Rehabil. 2025 Apr 25;17(1):96. doi: 10.1186/s13102-025-01131-4.
3

本文引用的文献

1
Behavior Change Techniques in Wrist-Worn Wearables to Promote Physical Activity: Content Analysis.腕戴可穿戴设备中促进身体活动的行为改变技术:内容分析。
JMIR Mhealth Uhealth. 2020 Nov 19;8(11):e20820. doi: 10.2196/20820.
2
Patterns of Use and Key Predictors for the Use of Wearable Health Care Devices by US Adults: Insights from a National Survey.美国成年人使用可穿戴医疗设备的模式及关键预测因素:一项全国性调查的见解
J Med Internet Res. 2020 Oct 16;22(10):e22443. doi: 10.2196/22443.
3
M-LoCUS: A Scalable Intervention Enhances Growth Mindset and Internal Locus of Control in Undergraduate Students in STEM.
Home Environment as a Therapeutic Target for Prevention and Treatment of Chronic Diseases: Delivering Restorative Living Spaces, Patient Education and Self-Care by Bridging Biophilic Design, E-Commerce and Digital Health Technologies.
家庭环境作为慢性病防治的治疗靶点:通过融合亲生物设计、电子商务和数字健康技术,提供恢复性居住空间、患者教育和自我护理。
Int J Environ Res Public Health. 2025 Feb 5;22(2):225. doi: 10.3390/ijerph22020225.
4
Digital Fitness Revolution: User Perspectives on Fitbit's Role in Health Management.数字健身革命:用户对Fitbit在健康管理中作用的看法。
Behav Sci (Basel). 2025 Feb 18;15(2):231. doi: 10.3390/bs15020231.
5
Work conditions and determinants of health status among industrial shift workers: a cross-sectional study.产业轮班工人的工作条件与健康状况决定因素:一项横断面研究
Front Public Health. 2025 Jan 7;12:1489178. doi: 10.3389/fpubh.2024.1489178. eCollection 2024.
6
Any old iron, man.老兄,有什么陈腐的观念吗。 (注:这里的“old iron”直译为“旧铁”,在口语中可能有“老一套、陈腐观念”等含义,具体意思需根据语境确定,译文只是一种基于常见理解的翻译。)
Exp Physiol. 2025 Jan;110(1):6-10. doi: 10.1113/EP092295. Epub 2024 Oct 28.
7
A randomized clinical trial testing digital mindset intervention for knee osteoarthritis pain and activity improvement.一项测试数字思维干预对膝关节骨关节炎疼痛和活动改善效果的随机临床试验。
NPJ Digit Med. 2024 Oct 17;7(1):285. doi: 10.1038/s41746-024-01281-8.
8
Value-based digital health: A systematic literature review of the value elements of digital health care.基于价值的数字健康:数字医疗保健价值要素的系统文献综述
Digit Health. 2024 Oct 13;10:20552076241277438. doi: 10.1177/20552076241277438. eCollection 2024 Jan-Dec.
9
Physical Activity and Mental Health of Employed Adults: Mediation and Moderation Effects of Beliefs in the Benefits of Physical Activity.体力活动与成年雇员的心理健康:体力活动有益信念的中介和调节作用。
Int J Environ Res Public Health. 2024 Jun 29;21(7):854. doi: 10.3390/ijerph21070854.
10
Redesigning Pharmacy to Improve Public Health Outcomes: Expanding Retail Spaces for Digital Therapeutics to Replace Consumer Products That Increase Mortality and Morbidity Risks.重新设计药房以改善公共卫生成果:扩大数字疗法的零售空间,取代那些增加死亡和发病风险的消费品。
Pharmacy (Basel). 2024 Jul 12;12(4):107. doi: 10.3390/pharmacy12040107.
M-LoCUS:一种可扩展的干预措施增强了理工科本科生的成长型思维模式和内控点。
J Microbiol Biol Educ. 2020 May 29;21(2). doi: 10.1128/jmbe.v21i2.1987. eCollection 2020.
4
Long-Term Weight Management Using Wearable Technology in Overweight and Obese Adults: Systematic Review.长期使用可穿戴技术管理超重和肥胖成年人的体重:系统评价。
JMIR Mhealth Uhealth. 2020 Mar 10;8(3):e13461. doi: 10.2196/13461.
5
Effects of physical activity recommendations on mindset, behavior and perceived health.体育活动建议对心态、行为和感知健康的影响。
Prev Med Rep. 2019 Dec 9;17:101027. doi: 10.1016/j.pmedr.2019.101027. eCollection 2020 Mar.
6
Changing the Physical Activity Behavior of Adults With Fitness Trackers: A Systematic Review and Meta-Analysis.使用健身追踪器改变成年人身体活动行为:系统评价和荟萃分析。
Am J Health Promot. 2020 May;34(4):418-430. doi: 10.1177/0890117119895204. Epub 2019 Dec 20.
7
The effectiveness of wearable technologies as physical activity interventions in weight control: A systematic review and meta-analysis of randomized controlled trials.可穿戴技术作为控制体重的身体活动干预措施的有效性:随机对照试验的系统评价和荟萃分析。
Obes Rev. 2019 Oct;20(10):1485-1493. doi: 10.1111/obr.12909. Epub 2019 Jul 24.
8
Consumer-Based Wearable Activity Trackers Increase Physical Activity Participation: Systematic Review and Meta-Analysis.基于消费者的可穿戴活动追踪器可提高身体活动参与度:系统评价和荟萃分析。
JMIR Mhealth Uhealth. 2019 Apr 12;7(4):e11819. doi: 10.2196/11819.
9
Learning one's genetic risk changes physiology independent of actual genetic risk.学习一个人的遗传风险会改变生理状况,而与实际遗传风险无关。
Nat Hum Behav. 2019 Jan;3(1):48-56. doi: 10.1038/s41562-018-0483-4. Epub 2018 Dec 10.
10
Can Smartphone Apps Increase Physical Activity? Systematic Review and Meta-Analysis.智能手机应用程序能否增加身体活动?系统评价与荟萃分析。
J Med Internet Res. 2019 Mar 19;21(3):e12053. doi: 10.2196/12053.