Evidence map›Paper›PMID 41499691›Full record

Trial reportJournal of medical Internet research2026

Impact of Push Notifications on Physical Activity and Sodium Intake Among Patients with Hypertension: Microrandomized Trial of a Just-in-Time Adaptive Intervention.

Jessica R Golbus, Michael P Dorsch, Yuxuan Chen, Tanima Basu, Evan Luff, Predrag Klasnja, Mark W Newman, Lesli E Skolarus, Walter Dempsey, Brahmajee K Nallamothu

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jessica R Golbus *Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, 2723 Cardiovascular Center, 1500 E Medical Center Dr. SPC 5853, Ann Arbor, MI, 48109, United States, 1 7342325045.ORCID http://orcid.org/0000-0002-9538-3926
Michael P Dorsch *Department of Clinical Pharmacy, College of Pharmacy, University of Michigan, Ann Arbor, MI, United States.ORCID http://orcid.org/0000-0003-2910-1879
Yuxuan ChenDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, United States.ORCID http://orcid.org/0009-0006-0245-3486
Tanima BasuDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, 2723 Cardiovascular Center, 1500 E Medical Center Dr. SPC 5853, Ann Arbor, MI, 48109, United States, 1 7342325045.ORCID http://orcid.org/0000-0002-5846-7557
Evan LuffDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, 2723 Cardiovascular Center, 1500 E Medical Center Dr. SPC 5853, Ann Arbor, MI, 48109, United States, 1 7342325045.ORCID http://orcid.org/0009-0004-4582-0034
Predrag KlasnjaSchool of Information and Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, United States.ORCID http://orcid.org/0000-0002-4570-703X
Mark W NewmanSchool of Information and Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, United States.ORCID http://orcid.org/0000-0001-7186-1383
Lesli E SkolarusDivision of Stroke Vascular Neurology, Davee Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID http://orcid.org/0000-0002-3088-9838
Walter DempseyDepartment of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, United States.ORCID http://orcid.org/0000-0002-6510-4121
Brahmajee K NallamothuDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, 2723 Cardiovascular Center, 1500 E Medical Center Dr. SPC 5853, Ann Arbor, MI, 48109, United States, 1 7342325045.ORCID http://orcid.org/0000-0003-4331-6649

Funding

MObile health interVention to INcrease activity in Heart Failure (MOVIN-HF)K23HL168220 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Rachel Golbus · 2023 to 2026
$730k
NHLBI NIH HHS K23 HL168220
6 · The paper itself

Abstract

Background: Achieving adequate blood pressure control is challenging for patients and clinicians. Digital hypertension management solutions that use push notifications to promote lifestyle management have been proposed as an approach, but their effectiveness remains unknown. Objective: This analysis was designed to interrogate the independent and short-term effects of push notifications, tailored to participant and environmental factors, and on physical activity levels and sodium intake among individuals with hypertension. Methods: The myBPmyLife study was a 6-month randomized controlled trial of participants with self-reported hypertension recruited from an academic medical center and federally qualified health centers. A core component of the intervention consisted of microrandomized push notifications promoting lifestyle modifications that were randomly delivered at 4 daily time points and focused on physical activity and dietary sodium intake. Our primary outcome for this secondary analysis was the step count 60 minutes after a physical activity notification and lower-sodium food choices 24 hours after a dietary notification. This analysis focuses on the results of the microrandomized trial and used a centered and weighted least squares method adapted for 2 or more treatments. Results: A total of 298 participants were randomized to the intervention arm, of whom 287 had data available for analysis. Participants' mean age was 59.5 (SD 13.1) years, 138 (48.1%) were women, and 206 (71.8%) were White. Participants were randomized at 187,517 time points over 6 months, which led to 0.96 (SD 0.86) push notifications per day divided between activity (50.4%; SD 0.4) and dietary (49.8%; SD 0.4) notifications. Activity notifications did not increase step count in the 60 minutes after a notification (estimate 1.01, 95% CI 0.98-1.04; P=.40). Similarly, dietary notifications did not impact the number of lower-sodium food choices in the subsequent 24 hours (estimate 0.93, 95% CI 0.83-1.04; P=.23), but in exploratory post hoc analyses, did increase mobile app use by 95.5% (95% CI 1.81-2.10; P<.001), mobile app clicks or searches by 93.7% (95% CI 1.72%-2.16%; P<.001), and low sodium searches by 113.0% (95% CI 1.73-2.53; P<.001), all within 60 minutes. Conclusions: In patients with hypertension, push notifications did not impact short-term physical activity levels or dietary sodium intake but did improve intervention engagement.

Indexed as

ExerciseHypertensionSodium, DietaryAgedFemaleHumansMaleMiddle AgedSodium, Dietarydigital healthhypertensionjust-in-time adaptive interventionmHealthmobile healthphysical activity

Identifiers

PMID41499691
PMCPMC12779098

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.