Evidence map›Paper›PMID 34887806›Full record

ArticleFrontiers in psychology2021

How Do Social Network Sites Influence Workout Intentions: A Social Norm Approach.

Jian Raymond Rui, Shuangqing Liu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 35% of its field
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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 1 country.

Jian Raymond RuiSchool of Journalism and Communication, South China University of Technology, Guangzhou, China.
Shuangqing LiuGuangming School of Journalism and Communication, China University of Political Science and Law, Beijing, China.
China University of Political Science and Law · CNSouth China University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

People share their workout experiences on social network sites (SNSs). The present study examined how perceived exposure to these workout-related SNS posts may affect individuals' engagement in physical activities through perceived descriptive and injunctive norms of workout in their network, and how self-efficacy in workout moderated the effect of perceived descriptive norm on their workout intention, which was measured in general and specific ways. An online survey was conducted with a convenience sample of 807 responses in China. Results show that perceived descriptive norm of workout in one's network mediated the relationship between perceived exposure to workout-related SNS posts and perceived injunctive norm. In addition, self-efficacy in workout moderated the effect of perceived descriptive norm on workout intention-both general and specific-but the normative influence was stronger at a low level of self-efficacy compared to a high level. Furthermore, perceived injunctive norm only predicted the general rather than specific workout intention, suggesting that the perception of most people's approval might not be priority when people consider details about workout. These findings develop the theory of normative social behavior by illustrating the relationship between perceived descriptive and injunctive norm and shed light on the relative strength of the motivating factors of workout in different situations.

Indexed as

perceived descriptive normperceived injunctive normpsychological distanceself-efficacySNSworkout

Identifiers

PMID34887806
PMCPMC8648600
OpenAlexW3216089342

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.