Evidence map›Paper›PMID 40997343›Full record

Trial reportJMIR cardio2025

Daily Dietary Sodium Intake Among Clinical Trial Participants Recruited From a University Health System or a Federally Qualified Health Center: Secondary Analysis of Baseline Participant Characteristics.

Gabriella V Rubick, Michael P Dorsch, Scott L Hummel, Tanima Basu, Evan Luff, Kimberly Warden, Michael Giacalone, Sarah Bailey, Mark W Newman, Lesli E Skolarus and 2 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in JMIR cardio, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Gabriella V RubickDepartment of Internal Medicine, University of Michigan-Ann Arbor, 1500 E Medical Center Dr., Ann Arbor, MI, 48109, United States, 1 7349364000.ORCID http://orcid.org/0009-0005-1425-5674
Michael P DorschDepartment of Clinical Pharmacy, College of Pharmacy, University of Michigan-Ann Arbor, Ann Arbor, MI, United States.ORCID http://orcid.org/0000-0003-2910-1879
Scott L HummelDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan-Ann Arbor, Ann Arbor, MI, United States.ORCID http://orcid.org/0000-0002-0924-3135
Tanima BasuDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan-Ann Arbor, Ann Arbor, MI, United States.ORCID http://orcid.org/0000-0002-5846-7557
Evan LuffDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan-Ann Arbor, Ann Arbor, MI, United States.ORCID http://orcid.org/0009-0004-4582-0034
Kimberly WardenHamilton Community Health Network, Flint, MI, United States.ORCID http://orcid.org/0000-0002-2379-6553
Michael GiacaloneHamilton Community Health Network, Flint, MI, United States.ORCID http://orcid.org/0009-0003-6725-8479
Sarah BaileyBridges into the Future, Flint, MI, United States.ORCID http://orcid.org/0000-0002-0149-997X
Mark W NewmanSchool of Information and Department of Electrical Engineering and Computer Science, University of Michigan-Ann Arbor, Ann Arbor, MI, United States.ORCID http://orcid.org/0000-0001-7186-1383
Lesli E SkolarusDepartment of Neurology, Stroke and Vascular Neurology, Northwestern Medicine, Chicago, IL, United States.ORCID http://orcid.org/0000-0002-3088-9838
Brahmajee K NallamothuDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan-Ann Arbor, Ann Arbor, MI, United States.ORCID http://orcid.org/0000-0003-4331-6649
Jessica R GolbusDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan-Ann Arbor, Ann Arbor, MI, United States.ORCID http://orcid.org/0000-0002-9538-3926

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
CSRD VA I01 CX001636NHLBI NIH HHS K23 HL168220NHLBI NIH HHS L30 HL143700
6 · The paper itself

Abstract

Background: Efforts to improve diversity in clinical trials often prioritize recruitment based on broad demographic factors. This approach may overlook the influence of community context and health-related social needs on health behaviors, including sodium intake, a key modifiable risk factor for hypertension and cardiovascular disease. Objective: This study aims to assess the impact of enrollment site, sociodemographic factors, and health-related social needs on baseline dietary sodium intake among participants in a mobile health clinical trial aimed at lowering blood pressure. Methods: The myBPmyLife study is a prospective, randomized controlled trial evaluating a mobile health intervention to lower blood pressure through increased physical activity and lower sodium food choices. Participants with hypertension were recruited from a university health system and a federally qualified health center (FQHC). All participants completed a validated sodium screener at enrollment. Sociodemographic data and health-related social needs were self-reported. Univariable and multivariable linear regression models were used to evaluate the associations between sodium intake and participant characteristics. This analysis presents a cross-sectional examination of the baseline characteristics of participants enrolled in the myBPmyLife study. Results: Among 600 included participants, 96 (16.0%) were from the FQHC. Mean age was 60.1 (SD 13.5) years; 48.2% (289/600) were women, and 13.0% (78/600) were Black. FQHC participants were significantly younger (mean age 47.9, SD 11.1 vs 62.5, SD 12.7 years), more likely to be Black (43/96, 44.8% vs 35/504, 6.9%), and 8.5 times more likely to have difficulty paying for their health-related social needs. Mean baseline sodium intake was 3082.3 (SD 1072.5) mg/day, with 85.5% (513/600) of participants exceeding the World Health Organization's recommended daily sodium limit. Baseline sodium intake was significantly higher for FQHC participants (mean difference 381.1, SD 1064.2 mg/d; 95% CI 84.5-677.7; P=.01), men (mean difference 543.9, SD 1038.3 mg/d; 95% CI 377.3-710.5; P<.001), Black participants (mean difference 442.5, SD 1043.4 mg/d; 95% CI 119.7-765.3; P=.008) and those with difficulty affording basic needs (mean difference 338.1, SD 1066.7 mg/d; 95% CI 95.2-581.0; P=.02). Sodium intake was lower in older participants (-196.4 mg/d per 10 years; 95% CI -258.0 to -134.9; P<.001). In a multivariable analysis, age, gender, and race remained independently associated with sodium intake, while differences by site and health-related social needs were not statistically significant. Conclusions: Differences in sodium intake were observed across sociodemographic groups. While the enrollment site was not independently associated with sodium intake after adjustment, it played a role in shaping the participant population, evidenced by the differences in demographics and health-related social needs among participants based on enrollment site. These findings underscore the importance of recruiting from distinct clinical settings to capture a range of contextual factors that influence health behaviors. Clinical trials aiming for representativeness should consider both individual- and community-level factors during recruitment to more accurately inform interventions and health outcomes.

Indexed as

HypertensionSodium, DietaryAgedBlood PressureCross-Sectional StudiesFemaleHealth BehaviorHumansMaleMiddle AgedProspective StudiesUniversitiesSodium, Dietaryblood pressurecardiovascular diseasesclinical trialdietary sodiumhypertensionsociodemographic factorssodium consumption

Identifiers

PMID40997343
PMCPMC12463386

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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 OpenQuestion graph.