Evidence map›Paper›PMID 41332378›Full record

Observational studyCirculation. Heart failure2026

Temporal Variation in Psychosocial Factors and Physical Activity Levels Among Patients With Heart Failure.

Jessica R Golbus, Tanima Basu, Evan Luff, Yuwei Hu, Donglin Zeng, Chelsie Gesierich, Ken Resnicow, Predrag Klasnja, Brahmajee K Nallamothu

Abstract readObservational Study
In one paragraph

Observational study in Circulation. Heart failure, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Jessica R GolbusDivision of Cardiovascular Diseases, Department of Internal Medicine (J.R.G., T.B., E.L., C.G., B.K.N.), University of Michigan, Ann Arbor.ORCID 0000-0002-9538-3926
Tanima BasuDivision of Cardiovascular Diseases, Department of Internal Medicine (J.R.G., T.B., E.L., C.G., B.K.N.), University of Michigan, Ann Arbor.ORCID 0000-0002-5846-7557
Evan LuffDivision of Cardiovascular Diseases, Department of Internal Medicine (J.R.G., T.B., E.L., C.G., B.K.N.), University of Michigan, Ann Arbor.
Yuwei HuDepartment of Biostatistics (Y.H., D.Z.), University of Michigan, Ann Arbor.
Donglin ZengDepartment of Biostatistics (Y.H., D.Z.), University of Michigan, Ann Arbor.ORCID 0000-0003-0843-9280
Chelsie GesierichDivision of Cardiovascular Diseases, Department of Internal Medicine (J.R.G., T.B., E.L., C.G., B.K.N.), University of Michigan, Ann Arbor.
Ken ResnicowDivision of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis (K.R.).ORCID 0000-0003-1416-9627
Predrag KlasnjaSchool of Information (P.K.), University of Michigan, Ann Arbor.ORCID 0000-0002-4570-703X
Brahmajee K NallamothuDivision of Cardiovascular Diseases, Department of Internal Medicine (J.R.G., T.B., E.L., C.G., B.K.N.), University of Michigan, Ann Arbor.ORCID 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 HL168220NHLBI NIH HHS L30 HL143700
6 · The paper itself

Abstract

backgroundAnecdotal evidence suggests that symptoms and physical activity levels in patients with heart failure (HF) fluctuate considerably, though empirical data to support this claim are sparse. We examined how stable psychosocial traits (eg, intrinsic motivation), situational psychosocial states (eg, vitality), and HF symptoms vary in stable patients with HF and their association with physical activity.

methodsThe MOVIN-HF study (Mobile Health Intervention to Increase Activity in Heart Failure) was a prospective, observational study of patients with symptomatic HF. We collected data on (1) psychosocial traits at baseline and (2) twice daily ecological momentary assessments for 28 days of participants' symptoms and current psychosocial states. Physical activity was measured by smartwatch step counts. We evaluated the association between baseline psychosocial states and mean daily step counts and between ecological momentary assessments of symptoms and psychosocial states and short-term step counts (12 hours after ecological momentary assessments). Mixed effects models quantified associations.

resultsBetween February and June 2024, 30 participants enrolled in the study; the mean age was 59.7 (SD, 13.6) years, 53% were female, and most (63%) had New York Heart Association class 2 HF symptoms. Baseline psychosocial traits like motivational quality were significantly associated with daily step count. For example, each 1-point increase in intrinsic motivation was associated with 39% higher daily step count (95% CI, 3%-87%). There was also significant variability in ecological momentary assessment scores of symptoms and psychosocial states: 10 (33%) participants experienced a 50% or greater change in HF symptoms, and 18 (60%) a 50% or greater change in vitality. HF symptoms and psychosocial states (eg, vitality, competence) were significantly associated with 12-hour step count.

conclusionsBaseline psychosocial traits are associated with daily physical activity. In addition, symptoms and psychosocial states fluctuate frequently among patients with HF and are associated with short term physical activity. These findings suggest tailored interventions may improve physical activity levels.

Indexed as

ExerciseHeart FailureAgedEcological Momentary AssessmentFemaleHumansMaleMiddle AgedMotivationProspective StudiesTime Factorsecological momentary assessmentsexerciseheart failuremotivationquality of life

Identifiers

PMID41332378
PMCPMC12766568

What OpenQuestion holds

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Registered trials

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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.