A Physical Activity and Diet Just‐in‐Time Adaptive Intervention to Reduce Blood Pressure: The myBPmyLife Study Rationale and Design Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.1161/jaha.123.031234
Background Smartphone applications and wearable devices are promising mobile health interventions for hypertension self‐management. However, most mobile health interventions fail to use contextual data, potentially diminishing their impact. The myBPmyLife Study is a just‐in‐time adaptive intervention designed to promote personalized self‐management for patients with hypertension. Methods and Results The study is a 6‐month prospective, randomized‐controlled, remotely administered trial. Participants were recruited from the University of Michigan Health in Ann Arbor, Michigan or the Hamilton Community Health Network, a federally qualified health center network in Flint, Michigan. Participants were randomized to a mobile application with a just‐in‐time adaptive intervention promoting physical activity and lower‐sodium food choices as well as weekly goal setting or usual care. The mobile study application encourages goal attainment through a central visualization displaying participants' progress toward their goals for physical activity and lower‐sodium food choices. Participants in both groups are followed for up for 6 months with a primary end point of change in systolic blood pressure. Exploratory analyses will examine the impact of notifications on step count and self‐reported lower‐sodium food choices. The study launched on December 9, 2021, with 484 participants enrolled as of March 31, 2023. Enrollment of participants was completed on July 3, 2023. After 6 months of follow‐up, it is expected that results will be available in the spring of 2024. Conclusions The myBPmyLife study is an innovative mobile health trial designed to evaluate the effects of a just‐in‐time adaptive intervention focused on improving physical activity and dietary sodium intake on blood pressure in diverse patients with hypertension. Registration URL: https://www.clinicaltrials.gov ; Unique identifier: NCT05154929.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1161/jaha.123.031234
- https://www.ahajournals.org/doi/pdf/10.1161/JAHA.123.031234
- OA Status
- gold
- Cited By
- 7
- References
- 36
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4390918100
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4390918100Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1161/jaha.123.031234Digital Object Identifier
- Title
-
A Physical Activity and Diet Just‐in‐Time Adaptive Intervention to Reduce Blood Pressure: The myBPmyLife Study Rationale and DesignWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-01-16Full publication date if available
- Authors
-
Jessica R. Golbus, V. Swetha E. Jeganathan, Rachel Stevens, Weena Ekechukwu, Zahera Farhan, Rocio Contreras, Nikhila Rao, Brad Trumpower, Tanima Basu, Evan Luff, Lesli E. Skolarus, Mark Newman, Brahmajee K. Nallamothu, Michael P. DorschList of authors in order
- Landing page
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https://doi.org/10.1161/jaha.123.031234Publisher landing page
- PDF URL
-
https://www.ahajournals.org/doi/pdf/10.1161/JAHA.123.031234Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.ahajournals.org/doi/pdf/10.1161/JAHA.123.031234Direct OA link when available
- Concepts
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Psychological intervention, Randomized controlled trial, Medicine, Physical therapy, mHealth, Intervention (counseling), Blood pressure, Behavior change, Gerontology, Nursing, Pathology, Surgery, RadiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
7Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 6, 2024: 1Per-year citation counts (last 5 years)
- References (count)
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36Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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