Evidence map›Paper›PMID 35003241›Full record

ArticleComputational intelligence and neuroscience2021

Research on the Influence of Sports and Nutrition Matching on Improving Students' Physique Based on Intelligent Sensor.

Yejin Wu, Fucai Zhang

Open access · hybridAbstract read
In one paragraph

Article in Computational intelligence and neuroscience, 2021. 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
0.3field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

2 authors at 1 institution in 1 country.

Yejin WuSchool of Physical Education and Health, LinYi University, LinYi, Shandong 276000, China.ORCID https://orcid.org/0000-0002-9354-2364
Fucai ZhangSchool of Physical Education and Health, LinYi University, LinYi, Shandong 276000, China.ORCID https://orcid.org/0000-0001-7177-5450
Linyi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the continuous development of social economy, students' learning is paid more and more attention, but at the same time, their physical condition also deserves attention. In view of these problems and limitations, this paper is based on intelligent sensors, which is different from the traditional physical education teaching, adopts the corresponding prescription for sports teaching, combines teaching with fun for the corresponding health intervention, and realizes the two-way dimensional analysis of compound sports prescription through comprehensive nutrition collocation, so as to improve students' physical and mental health, in order to improve students' physical fitness. The simulation results show that the intelligent sensor is effective, which can improve the systematicness and scientificity of students' participation in exercise in sports activities and improve students' learning and physical fitness.

Indexed as

SportsStudentsExerciseHumansIntelligencePhysical Education and Training

Identifiers

PMID35003241
PMCPMC8741363
OpenAlexW4205960425

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.