Evidence map›Paper›PMID 35548686›Full record

ArticleApplied bionics and biomechanics2022

Practical Research on the Development of Physical Exercise and Physical Education Training Based on 5G Technology.

Heqin Qing, Bowen Liu

RetractedAbstract readRetracted Publication
In one paragraph

Article in Applied bionics and biomechanics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. 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

5 · Who and what money

Authors and funding

2 authors.

Heqin QingDepartment of Sport, Taiyuan Normal University, Jinzhong, 030619 Shaanxi, China.
Bowen LiuDepartment of Physical Education, Bengbu College of Technology and Business, Bengbu, 233000 Anhui, China.ORCID https://orcid.org/0000-0003-4152-839X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The traditional physical education teaching model in colleges and universities is basically based on "teaching" to teach learning, to cultivate the knowledge and skills of college students, and to master some scientific physical exercise methods and skills. This article was aimed at conducting research based on the practice of 5G technology to help physical exercise development and physical education training. This article first discusses the importance of outreach training in physical education. It is feasible to implement expansion training in physical education, and it can have a profound impact. It can have a great impact on students' personality, psychology, and work attitude and will greatly help them enter the society in the future. At the same time, this article introduces the human movement data monitoring method based on 5G technology. It expounds on the two aspects of human body posture description method and exercise data parameter calculation and analyzes and discusses the exercise time, exercise frequency, exercise intensity, exercise items, and exercise persistence of college students of different genders, disciplines, and grades. The results of the study show that the proportion of college students who take part in physical exercise every time "within 0.5 hours" is the highest, which is 40% of the total sample size. The option of "1.5 hours or more" is the least, only 11% of the total number of people. There is a significant difference between the two, indicating that college students should strengthen physical exercise.

Identifiers

PMID35548686
PMCPMC9085311

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.