Evidence map›Paper›PMID 39055784›Full record

ArticleDigital health

Association between fitness technology use and physical activity mediated by communication behaviors on social media.

Xia Zheng, Wenbo Li

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

2 authors.

Xia ZhengSchool of Communication and Journalism, the Alan Alda Center for Communicating Science, Stony Brook University, Stony Brook, NY, USA.ORCID https://orcid.org/0000-0002-1269-4543
Wenbo LiSchool of Communication and Journalism, the Alan Alda Center for Communicating Science, Stony Brook University, Stony Brook, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Fitness technologies, such as smartphone applications and wearable tracking devices, have gained widespread popularity. This study had two main objectives: 1) to examine whether fitness technology use is associated with increased physical activity (PA) levels and 2) to investigate whether communication behaviors on social media mediated the association between fitness technology use and PA. Methods: Data were from the U.S. Health Information National Trends Survey 2022 ( Results: Controlling for demographic and other known influences on PA, the findings revealed that users of fitness technology reported higher levels of both moderate PA ( Conclusion: The results underscored the potential of fitness technologies in enhancing PA levels through promoting communication behaviors on social media.

Indexed as

appscommunication mediationFitness technologyhealth information technologyPAsocial mediawearable tracking devices

Identifiers

PMID39055784
PMCPMC11271164

What OpenQuestion holds

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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.