Evidence map›Paper›PMID 38025655›Full record

ArticleHealth equity2023

The Effect of Social Support on Social Media on Asian College Students' Intention to Participate in Physical Activity in the United States.

Ni Zhang, Kele Ding, Chulwoo Park, Jane Vo, Katrina Marie Cantos

Abstract read
In one paragraph

Article in Health equity, 2023. 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. 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

5 authors.

Ni ZhangDepartment of Public Health and Recreation, San Jose State University, San Jose, California, USA.ORCID https://orcid.org/0000-0002-1811-2655
Kele DingSchool of Health Sciences, Kent State University, Kent, Ohio, USA.
Chulwoo ParkDepartment of Public Health and Recreation, San Jose State University, San Jose, California, USA.ORCID https://orcid.org/0000-0003-0667-6549
Jane VoDepartment of Public Health and Recreation, San Jose State University, San Jose, California, USA.
Katrina Marie CantosDepartment of Public Health and Recreation, San Jose State University, San Jose, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: College students who identified themselves as Asians in the United States (i.e., Asian college students) are facing health inequalities and engaging in increasingly low levels of physical activity (PA). Although social support was found to be effective in increasing college students' PA and social media is an important channel for social support for Asian students, few studies have explored how to provide social support through social media interventions to promote Asian students' PA level. Thus, this study aimed to explore the effects of social support on social media on Asian college students' intention to participate in PA based on the theory of planned behavior. Methods: We conducted an online Qualtrics survey among all undergraduate students at a university on the West Coast of the United States. Among 936 respondents, 337 (36%) were Asian college students. Descriptive analysis, regression models, and mediating effect tests were performed using SPSS 28. Results: For Asian students, social support on social media has both direct effects and indirect effects through perceived behavioral control (PBC) on their intention to participate in PA. Conclusion: Future interventions could consider encouraging Asian students to provide support to each other and form support groups using social media to increase their PBC.

Indexed as

Asiansocial mediasocial supportTheory of Planned Behavior

Identifiers

PMID38025655
PMCPMC10664567

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.