Evidence map›Paper›PMID 36091494›Full record

ArticleUniversal access in the information society2022

Interactive communication in the process of physical education: are social media contributing to the improvement of physical training performance.

Suyi Jiang, Chang Feng Ning

Abstract read
In one paragraph

Article in Universal access in the information society, 2022. 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

2 authors.

Suyi JiangDepartment of Physical Education, Hohai University, Nanjing, China.
Chang Feng NingInstitute of Physical Education, Yancheng Institute of Technology, Yancheng, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of modern technologies and the use of social networks create an environment for the exchange of information, interactive communication, learning, and optimization of various processes. The study describes the results of the effectiveness of using various social media tools to increase the level of physical activity in people of different ages (12-35 years old). Effective tools for increasing the level of physical activity that can be used on social media have been considered. A survey created in Google forms was conducted to select research participants and group them; the pedagogical experiment is the introduction of social media tools to encourage users to do sports. The experiment involved 148 people of different age groups: adolescents, students, adults. After the experiment with the experimental group, there were 59.20% of participants with an average level of physical activity and 22.37% of participants with a high level of physical activity; in the control group, 31.58% of participants had a low level of physical activity, 48.70%-average, 10.53%-high. Most participants of all ages (88.16%) refrained from posting videos of their achievements on social media, while nine participants (5 pupils and 4 students) posted their achievements in the form of short video exercises or screenshots, and reports of exercises in mobile applications in their groups. The research results are applicable to various social groups and can be used to create private groups on social media to encourage physical activity. The data obtained can be used for further development of specialized training programs using digital technology and social networks.

Indexed as

ContentExerciseLifestylePersonal trainerSportsTrainerVideo

Identifiers

PMID36091494
PMCPMC9443638

What OpenQuestion holds

Textmetadata
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.