Evidence map›Paper›PMID 40762006›Full record

ArticleJournal of rehabilitation and assistive technologies engineering

Harnessing social support to empower individuals with spinal cord injury to increase physical activity levels: Observations from feasibility studies.

Rithika Lakshminarayanan, Alexandra Canori, Melissa Nunn, Shivayogi V Hiremath, Stephen Intille

Abstract read
In one paragraph

Article in Journal of rehabilitation and assistive technologies engineering. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Rithika LakshminarayananNortheastern University, Boston, MA, USA.ORCID https://orcid.org/0000-0003-3720-9206
Alexandra CanoriTemple University, Philadelphia, PA, USA.
Melissa NunnTemple University, Philadelphia, PA, USA.
Shivayogi V HiremathTemple University, Philadelphia, PA, USA.ORCID https://orcid.org/0000-0002-9708-1411
Stephen IntilleNortheastern University, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: We report findings from two feasibility studies with persons with SCI that aimed to leverage social support to increase PA: a two-week study with nine participants and a four-week study with six participants. Method: We recruited a total of 17 participants across two phases (10 participants in Phase 1 and seven participants in Phase 2). In dyads, participants used a smartphone-smartwatch application that we iteratively developed based on participant feedback. The application delivered just-in-time support based on measured PA and encouraged reciprocal self-disclosure to increase closeness within dyads. Results: Participants found the delivery of messages during detected PA to be motivational. Some liked automatically sharing tracked PA with others and did not have privacy concerns about doing so, and most preferred exchanging real-time messages more than context- or activity-triggered messages. Participants also expressed that feeling connected to their partner increased motivation to engage in PA. Conclusion: Participants expressed that they liked being able to connect with individuals with shared life experience to exchange encouraging messages. There are, however, challenges that need to be addressed before a large-scale deployment of this technology, including user concerns about automatically detected activity.

Indexed as

closenessJITAIjust-in-time adaptive interventionphysical activitySCIsocial supportspinal cord injurywheelchair

Identifiers

PMID40762006
PMCPMC12319211

What OpenQuestion holds

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LicenceCC BY-NC
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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 OpenQuestion graph.