Evidence map›Paper›PMID 40523272›Full record

ArticleJMIR mHealth and uHealth2025

College Community-Based Physical Activity Support at a Public University During the COVID-19 Pandemic: Retrospective Longitudinal Analysis of Intra- Versus Interpersonal Components for Uptake and Outcome Association.

Garrett I Ash, Selene S Mak, Adrian D Haughton, Madilyn Augustine, Phillip O Bodurtha, Robert S Axtell, Beatrice Borsari, Jason J Liu, Shaoke Lou, Xin Xin and 4 more

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
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

14 authors.

Garrett I Ash *Program in Computational Biology & Bioinformatics, Yale University, New Haven, CT, United States.ORCID 0000-0002-8655-7525
Selene S Mak *Center for the Study of Healthcare Innovation, Implementation & Policy (CSHIIP), VA Greater Los Angeles Healthcare system, Los Angeles, CA, United States.ORCID 0000-0002-3722-4361
Adrian D HaughtonDepartment of Health and Movement Sciences Programs, Southern Connecticut State University, New Haven, CT, United States.ORCID 0009-0005-3227-3294
Madilyn AugustineDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, United States.ORCID 0009-0007-4043-8233
Phillip O BodurthaDepartment of Health and Movement Sciences Programs, Southern Connecticut State University, New Haven, CT, United States.ORCID 0009-0009-5837-6784
Robert S AxtellDepartment of Health and Movement Sciences Programs, Southern Connecticut State University, New Haven, CT, United States.ORCID 0000-0002-1356-5217
Beatrice BorsariProgram in Computational Biology & Bioinformatics, Yale University, New Haven, CT, United States.ORCID 0000-0003-4357-3557
Jason J LiuProgram in Computational Biology & Bioinformatics, Yale University, New Haven, CT, United States.ORCID 0000-0001-7197-7319
Shaoke LouDepartment of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, United States.ORCID 0000-0002-2626-5897
Xin XinCenter for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT, United States.ORCID 0000-0002-0223-923X
Lisa M FucitoDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, United States.ORCID 0000-0001-9410-2830
Sangchoon JeonYale School of Nursing, Orange, CT, United States.ORCID 0000-0003-2855-2053
Matthew Stults-KolehmainenCenter for Weight Management, Yale New Haven Hospital, New Haven, CT, United States.ORCID 0000-0001-5361-9614
Mark B GersteinProgram in Computational Biology & Bioinformatics, Yale University, New Haven, CT, United States.ORCID 0000-0002-9746-3719

Funding

Characterizing initial recovery from alcohol use disorder and predicting heavy drinking using mobile biosensorsR01AA031959 · NIAAA · YALE UNIVERSITY · PI Sherry Ann McKee, Walter McRainey Roberts · 2024 to 2026
$2.1M
Informatics-Based Digital Application to Promote Safe Exercise in Middle-Aged Adults with Type 1 DiabetesK01DK129441 · NIDDK · YALE UNIVERSITY · PI Garrett Igo Ash · 2022 to 2026
$950k
NIAAA NIH HHS R01 AA031959NIDDK NIH HHS K01 DK129441
6 · The paper itself

Abstract

backgroundCollege students are vulnerable to setting long-term trajectories of low physical activity (PA) but are reachable via mobile health fitness tracking (eg, mobile health step counting) and interpersonal support tailored to the college community. However, no studies have statistically isolated the appeal and influence of these intra- and interpersonal components in college-based PA interventions.

objectiveThis study retrospectively examined a college-based PA promotion program at a northeast US public university during the COVID-19 pandemic to (1) test the impact of student status on the use of intervention components and (2) determine whether such use was associated with successful retention and goal achievement in the program.

methodsThe university used a commercial platform for a 30-day PA promotion program during April 2021 with intrapersonal (step-tracker syncing, education, self-monitoring, and motivational messaging) and interpersonal (friend interactions and team games) components. App use was operationalized as intrapersonal (frequency of opening app, education, and self-monitoring) and interpersonal (friends made in-app and team affiliation and size).

resultsCampus-wide emails elicited sign-up by 156 undergraduate students, 57 graduate students, and 126 faculty and staff members. Objective 1 yielded the following results: undergraduates used the app less frequently (median 0.8, IQR 0.4-1.7 times per day) than other groups (graduate students: median 1.4, IQR 0.7-2.7 times per day; P=.01; faculty: median 1.3, IQR 0.7-2.7 times per day, H

conclusionsCollege students, compared with faculty and staff, used the app less frequently, used the app for a shorter duration before abandonment, and met the step goal on fewer days. Engagement with the program was associated with longer retention and better PA outcomes, which were critically modified by the interpersonal engagement. These findings suggest that college students using virtual PA support during times of physical isolation could benefit from more tailored implementation strategies (eg, timed prompts and team reassignments).

Indexed as

COVID-19ExerciseHealth PromotionStudentsAdultFemaleHumansInterpersonal RelationsLongitudinal StudiesMaleMobile ApplicationsPandemicsRetrospective StudiesSARS-CoV-2UniversitiesYoung Adulteducationfacultygoalsmobile appssocial networksstudentsuniversities

Identifiers

PMID40523272
PMCPMC12209730

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.