个性化数字行为干预增加短期体育活动:MyHeart计数心血管健康研究的随机对照交叉试验子研究。

IF 3.9 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS European heart journal. Digital health Pub Date : 2023-08-09 eCollection Date: 2023-10-01 DOI:10.1093/ehjdh/ztad047
Ali Javed, Daniel Seung Kim, Steven G Hershman, Anna Shcherbina, Anders Johnson, Alexander Tolas, Jack W O'Sullivan, Michael V McConnell, Laura Lazzeroni, Abby C King, Jeffrey W Christle, Marily Oppezzo, C Mikael Mattsson, Robert A Harrington, Matthew T Wheeler, Euan A Ashley
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引用次数: 0

摘要

目的:体育活动和降低和衰老相关的慢性病的发病率有关。我们之前证明,通过智能手机应用程序进行的数字干预可以增加短期体育活动。方法和结果:我们为美国、英国和香港下载MyHeart Counts应用程序的18岁以上社区iPhone用户提供了注册服务。在完成一周的基线期后,电子应答参与者被随机分为四组,为期7天。干预措施包括:(i)根据个人的基线活动模式每天进行个性化的电子交谈,(ii)每天提示完成10000步,(iii)每小时提示在不活动后站立,以及(iv)每天阅读美国心脏协会(AHA)网站指南的说明。在完成一次为期7天的干预后,参与者随后随机进入交叉试验的下一次干预。试验是在一个自由生活的环境中完成的,参与者和研究人员都没有对干预措施视而不见。主要结果是四种干预措施中每一种的平均每日步数与基线相比的变化,在修改后的意向治疗分析中进行评估(修改后的参与者必须完成7天的基线监测和至少1天的干预才能纳入分析)。该试验在ClinicalTrials.gov,NCT03090321上注册。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(大型MyHeart计数研究中约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),并至少完成了四种干预措施中的一种干预措施的1天。根据个人的基线活动量身打造的个性化电子交谈提示显著增加了步数(比基线增加402±71步,P=7.1⨯10-8)。每小时站立提示(比基线减少292步,P=0.00029)和每日阅读AHA指南提示(比基准增加215步,P=0.021)与平均每日步数增加显著相关,而每天提醒完成10000步则没有(比基线增加170步,P=0.11)。数字研究与传统临床试验相比具有显著优势,因为它们可以以成本效益高的方式持续招募参与者,从而通过增加统计能力和细化先前信号来提供新的见解。在这里,我们提出了一项新的发现,即针对个人的数字干预措施可以有效地增加自由生活群体的短期体育活动。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,并增加体力活动。需要进一步的研究来确定数字干预对长期结果的影响。
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Personalized digital behaviour interventions increase short-term physical activity: a randomized control crossover trial substudy of the MyHeart Counts Cardiovascular Health Study.

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, P = 7.1⨯10-8). Hourly stand prompts (+292 steps from baseline, P = 0.00029) and a daily prompt to read AHA guidelines (+215 steps from baseline, P = 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, P = 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.

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