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

Author:

Javed Ali1,Kim Daniel Seung1ORCID,Hershman Steven G12,Shcherbina Anna1,Johnson Anders1,Tolas Alexander1,O’Sullivan Jack W1,McConnell Michael V13,Lazzeroni Laura4,King Abby C156ORCID,Christle Jeffrey W1,Oppezzo Marily1,Mattsson C Mikael1,Harrington Robert A1,Wheeler Matthew T17,Ashley Euan A1478

Affiliation:

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

2. Biofourmis , Boston, MA , USA

3. identifeye HEALTH , Redwood City, CA , USA

4. Department of Biomedical Data Science, Stanford University School of Medicine , Stanford, CA 94305 , USA

5. Department of Health Research and Policy, Stanford University , Stanford, CA , USA

6. Department of Medicine, Stanford Prevention Research Center, Stanford University School of Medicine , Stanford, CA , USA

7. Stanford Cardiovascular Institute, Stanford University , Stanford, CA 94305 , USA

8. Department of Genetics, Stanford University School of Medicine , Stanford, CA 94305 , USA

Abstract

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, 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.

Funder

Stanford Data Science Initiative and Catalyst Program

Apple

Google

Publisher

Oxford University Press (OUP)

Subject

Energy Engineering and Power Technology,Fuel Technology

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