Clinical trial NCT03090321: MyHeart Counts Cardiovascular Health Study
Official title: MyHeart Counts Cardiovascular Health Study
Study type: INTERVENTIONAL
Overall status: ACTIVE_NOT_RECRUITING
Phase: NA
Conditions: Cardiovascular Health
Keywords: fitness
health
activity
heart risk
wellness
Lead sponsor: Stanford University
Sponsor class: OTHER
First posted: 2017-03-24
Enrollment: 2000000
Sex: ALL
Minimum age (years): 18
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: yes
Allocation: RANDOMIZED
Intervention model: PARALLEL
Primary purpose: PREVENTION

Brief summary: The MyHeart Counts Cardiovascular Health Study will utilize mobile health capabilities of smartphones and wearables to assess daily activity measures of the general population and compare these to measures of cardiovascular health risk factors and fitness. How people divide their time among exercise, sedentary behavior, and sleep all affect cardiovascular health, yet to date these have largely gone unmeasured. With the advancement of phone sensors and wearable fitness tracking devices these factors are now more straightforward to gather and measure. The use of smartphones by a large segment of the population allows for data collection on an unprecedented scale. The investigators aim to amass activity and cardiovascular health data on thousands of participants as well as provide significantly more quantitative data on type,duration, and intensity of daily activities.

In the second phase of the MyHeart Counts Cardiovascular Health Study (Randomized Assessment of Physical Activity Prompts In A Large Ambulatory Population) the researchers will conduct a randomized controlled clinical trial of four different physical activity prompts (intervention) and their effect on the level of physical activity in the study population as measured by change in step count.

Detailed description: MyHeart Counts Cardiovascular Health Study is a smartphone-based mobile cardiovascular health research study. The study will utilize the mobile health capabilities of smartphones and wearables to assess daily activity measures of the general public and compare these to measures of cardiovascular health - risk factors and fitness. How people divide their time among exercise, sedentary behavior, and sleep all affect cardiovascular health, yet these largely go unmeasured. With the advancement in phone sensors and wearables these factors are now more straightforward to gather and measure. The use of smartphones by a large segment of the population allows for data collection on an unprecedented scale. The investigators aim to amass activity and cardiovascular health data on thousands of participants as well as provide much more quantitative data on type,duration, and intensity of daily activities. The MyHeart Counts Cardiovascular Health mobile application provides a platform for the investigation of methods aimed to aid participants in increasing heart healthy activities. The overall goal of the study is to develop an extensive source of data which will inform future cardiovascular health guidelines.

In the second phase of the MyHeart Counts Cardiovascular Health Study (Randomized Assessment of Physical Activity Prompts In A Large Ambulatory Population) the investigators will conduct a randomized controlled clinical trial of four different physical activity prompts (intervention) and their effect on increasing physical activity in the study population as measured by change in step count.

Of note to supplement the activity data the investigators will ask participants who have completed a genetic analysis to share their that data with the MyHeart Counts Cardiovascular Health Study research team. The investigators believe the opportunity to overlay activity, heart risk and genetic data for participants is a great tool for discovery.

Eligibility criteria: Inclusion Criteria:

* All adults over the age of 18

Exclusion Criteria:

* Children under the age of 18

Primary outcomes:
measure: Activity frequency and duration as Measured By Smartphone Core Motion Chip Sensor (Step count as seen in Apple's Healthkit)
timeFrame: 5 weeks
Secondary outcomes:
measure: Change in self reported levels of happiness as indicated on a numerical gradient scale and self reported by participant using the OECD Guidelines on Measuring Subjective Well Being survey
timeFrame: 5 weeks
measure: Change in responses ( to survey questions on self perceived risk of cardiovascular disease and well being (survey adopted from reference in description)
timeFrame: 5 weeks
measure: Change in sleep duration as measured by Apples core motion chip.
timeFrame: 5 weeks
measure: Change in self reported sleep duration obtained from a daily user survey.
timeFrame: 5 weeks
Other outcomes:
Locations:
city: Stanford
country: United States
facility: Stanford University
state: California
Study officials:
affiliation: Stanford University
name: Euan Ashley, MD
role: PRINCIPAL_INVESTIGATOR
References:
citation: Organisation for Economic Co-operation and Development (OECD). OECD Guidelines on Measuring Subjective Well-being. Paris: OECD Publishing; 2013 Mar 20. Available from http://www.ncbi.nlm.nih.gov/books/NBK189560/
citation: Knowles JW, Assimes TL, Kiernan M, Pavlovic A, Goldstein BA, Yank V, McConnell MV, Absher D, Bustamante C, Ashley EA, Ioannidis JP. Randomized trial of personal genomics for preventive cardiology: design and challenges. Circ Cardiovasc Genet. 2012 Jun;5(3):368-76. doi: 10.1161/CIRCGENETICS.112.962746. No abstract available.
citation: Hershman SG, Bot BM, Shcherbina A, Doerr M, Moayedi Y, Pavlovic A, Waggott D, Cho MK, Rosenberger ME, Haskell WL, Myers J, Champagne MA, Mignot E, Salvi D, Landray M, Tarassenko L, Harrington RA, Yeung AC, McConnell MV, Ashley EA. Physical activity, sleep and cardiovascular health data for 50,000 individuals from the MyHeart Counts Study. Sci Data. 2019 Apr 11;6(1):24. doi: 10.1038/s41597-019-0016-7.
citation: McConnell MV, Shcherbina A, Pavlovic A, Homburger JR, Goldfeder RL, Waggot D, Cho MK, Rosenberger ME, Haskell WL, Myers J, Champagne MA, Mignot E, Landray M, Tarassenko L, Harrington RA, Yeung AC, Ashley EA. Feasibility of Obtaining Measures of Lifestyle From a Smartphone App: The MyHeart Counts Cardiovascular Health Study. JAMA Cardiol. 2017 Jan 1;2(1):67-76. doi: 10.1001/jamacardio.2016.4395.
citation: Shcherbina A, Hershman SG, Lazzeroni L, King AC, O'Sullivan JW, Hekler E, Moayedi Y, Pavlovic A, Waggott D, Sharma A, Yeung A, Christle JW, Wheeler MT, McConnell MV, Harrington RA, Ashley EA. The effect of digital physical activity interventions on daily step count: a randomised controlled crossover substudy of the MyHeart Counts Cardiovascular Health Study. Lancet Digit Health. 2019 Nov;1(7):e344-e352. doi: 10.1016/S2589-7500(19)30129-3. Epub 2019 Oct 9.