Suppr超能文献

个性化数字行为干预可增加短期身体活动量:“我的心脏计数”心血管健康研究的一项随机对照交叉试验子研究

Personalized digital behaviour interventions increase short-term physical activity: a randomized control crossover trial substudy of the MyHeart Counts Cardiovascular Health Study.

作者信息

Javed Ali, Kim Daniel Seung, Hershman Steven G, Shcherbina Anna, Johnson Anders, Tolas Alexander, O'Sullivan Jack W, McConnell Michael V, Lazzeroni Laura, King Abby C, Christle Jeffrey W, Oppezzo Marily, Mattsson C Mikael, Harrington Robert A, Wheeler Matthew T, Ashley Euan A

机构信息

Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.

Biofourmis, Boston, MA, USA.

出版信息

Eur Heart J Digit Health. 2023 Aug 9;4(5):411-419. doi: 10.1093/ehjdh/ztad047. eCollection 2023 Oct.

Abstract

AIMS

Physical activity is associated with decreased incidence of the chronic diseases associated with aging. We previously demonstrated that digital interventions delivered through a smartphone app can increase short-term physical activity.

METHODS AND RESULTS

We offered enrolment to community-living iPhone-using adults aged ≥18 years in the USA, UK, and Hong Kong who downloaded the MyHeart Counts app. After completion of a 1-week baseline period, e-consented participants were randomized to four 7-day interventions. Interventions consisted of: (i) daily personalized e-coaching based on the individual's baseline activity patterns, (ii) daily prompts to complete 10 000 steps, (iii) hourly prompts to stand following inactivity, and (iv) daily instructions to read guidelines from the American Heart Association (AHA) website. After completion of one 7-day intervention, participants subsequently randomized to the next intervention of the crossover trial. The trial was completed in a free-living setting, where neither the participants nor investigators were blinded to the intervention. The primary outcome was change in mean daily step count from baseline for each of the four interventions, assessed in a modified intention-to-treat analysis (modified in that participants had to complete 7 days of baseline monitoring and at least 1 day of an intervention to be included in analyses). This trial is registered with ClinicalTrials.gov, NCT03090321.

CONCLUSION

Between 1 January 2017 and 1 April 2022, 4500 participants consented to enrol in the trial (a subset of the approximately 50 000 participants in the larger MyHeart Counts study), of whom 2458 completed 7 days of baseline monitoring (mean daily steps 4232 ± 73) and at least 1 day of one of the four interventions. Personalized e-coaching prompts, tailored to an individual based on their baseline activity, increased step count significantly (+402 ± 71 steps from baseline, = 7.1⨯10). Hourly stand prompts (+292 steps from baseline, = 0.00029) and a daily prompt to read AHA guidelines (+215 steps from baseline, = 0.021) were significantly associated with increased mean daily step count, while a daily reminder to complete 10 000 steps was not (+170 steps from baseline, = 0.11). Digital studies have a significant advantage over traditional clinical trials in that they can continuously recruit participants in a cost-effective manner, allowing for new insights provided by increased statistical power and refinement of prior signals. Here, we present a novel finding that digital interventions tailored to an individual are effective in increasing short-term physical activity in a free-living cohort. These data suggest that participants are more likely to react positively and increase their physical activity when prompts are personalized. Further studies are needed to determine the effects of digital interventions on long-term outcomes.

摘要

目的

身体活动与衰老相关慢性疾病的发病率降低有关。我们之前证明,通过智能手机应用程序提供的数字干预可以增加短期身体活动。

方法与结果

我们邀请了美国、英国和中国香港年龄≥18岁、使用iPhone且居住在社区的成年人参与研究,这些人下载了“MyHeart Counts”应用程序。在完成为期1周的基线期后,经电子同意的参与者被随机分配到四种为期7天的干预措施中。干预措施包括:(i)根据个人基线活动模式提供每日个性化电子指导;(ii)每日提醒完成10000步;(iii)每小时提醒久坐后站立;(iv)每日指导阅读美国心脏协会(AHA)网站的指南。完成一次为期7天的干预后,参与者随后被随机分配到交叉试验的下一次干预措施中。该试验在自由生活环境中完成,参与者和研究人员均未对干预措施进行盲法处理。主要结局是四种干预措施中每种措施从基线开始的平均每日步数变化,在改良意向性分析中进行评估(改良之处在于参与者必须完成7天的基线监测和至少1天的干预才能纳入分析)。该试验已在ClinicalTrials.gov注册,注册号为NCT03090321。

结论

在2017年1月1日至2022年4月1日期间,4500名参与者同意参加该试验(这是规模更大的“MyHeart Counts”研究中约50000名参与者的一个子集),其中2458人完成了7天的基线监测(平均每日步数4232±73)以及至少1天的四种干预措施之一。根据个人基线活动量身定制的个性化电子指导提示显著增加了步数(比基线增加402±71步,P = 7.1×10⁻⁵)。每小时站立提示(比基线增加292步,P = 0.00029)和每日阅读AHA指南提示(比基线增加215步,P = 0.021)与平均每日步数增加显著相关,而每日提醒完成10000步则未显示出显著增加(比基线增加170步,P = 0.11)。数字研究相对于传统临床试验具有显著优势,因为它们可以以具有成本效益的方式持续招募参与者,从而通过增加统计效力和完善先前信号提供新的见解。在此,我们提出了一项新发现,即针对个体量身定制的数字干预措施在自由生活队列中有效增加短期身体活动。这些数据表明,当提示个性化时,参与者更有可能做出积极反应并增加身体活动。需要进一步研究以确定数字干预对长期结局的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/666f/10545510/cc89dbcf45c6/ztad047_ga1.jpg

相似文献

10
Behavioural interventions for type 2 diabetes: an evidence-based analysis.
Ont Health Technol Assess Ser. 2009;9(21):1-45. Epub 2009 Oct 1.

引用本文的文献

1
AI and Digital Health: Personalizing Physical Activity to Improve Population Health.
Circ Cardiovasc Qual Outcomes. 2025 Aug 8:e012416. doi: 10.1161/CIRCOUTCOMES.125.012416.
2
Exploring the Latest Advances in Public Health and Epidemiology Informatics.
Yearb Med Inform. 2024 Aug;33(1):262-264. doi: 10.1055/s-0044-1800754. Epub 2025 Apr 8.
3
Fine-tuning Large Language Models in Behavioral Psychology for Scalable Physical Activity Coaching.
medRxiv. 2025 Feb 21:2025.02.19.25322559. doi: 10.1101/2025.02.19.25322559.
4
Transforming the cardiometabolic disease landscape: Multimodal AI-powered approaches in prevention and management.
Cell Metab. 2024 Apr 2;36(4):670-683. doi: 10.1016/j.cmet.2024.02.002. Epub 2024 Feb 29.

本文引用的文献

3
Association of Daily Step Patterns With Mortality in US Adults.
JAMA Netw Open. 2023 Mar 1;6(3):e235174. doi: 10.1001/jamanetworkopen.2023.5174.
4
The effect of a game-based mobile app 'MyHeartMate' to promote lifestyle change in coronary disease patients: a randomized controlled trial.
Eur Heart J Digit Health. 2022 Nov 24;4(1):33-42. doi: 10.1093/ehjdh/ztac069. eCollection 2023 Jan.
6
Prospective Association of Daily Steps With Cardiovascular Disease: A Harmonized Meta-Analysis.
Circulation. 2023 Jan 10;147(2):122-131. doi: 10.1161/CIRCULATIONAHA.122.061288. Epub 2022 Dec 20.
8
Association of step counts over time with the risk of chronic disease in the All of Us Research Program.
Nat Med. 2022 Nov;28(11):2301-2308. doi: 10.1038/s41591-022-02012-w. Epub 2022 Oct 10.
9
Challenges in Participant Engagement and Retention Using Mobile Health Apps: Literature Review.
J Med Internet Res. 2022 Apr 26;24(4):e35120. doi: 10.2196/35120.
10
Genetics of Type 2 Diabetes: Opportunities for Precision Medicine: JACC Focus Seminar.
J Am Coll Cardiol. 2021 Aug 3;78(5):496-512. doi: 10.1016/j.jacc.2021.03.346.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验