Evidence map›Paper›PMID 34925536›Full record

ArticleComputational and mathematical methods in medicine2021

Relationship between Volleyball Sports Nutrition Food and Sports Athletes' Training and Physical Health Based on Medical Image Recognition.

Jian Liu

RetractedAbstract readRetracted Publication
In one paragraph

Article in Computational and mathematical methods in medicine, 2021. 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 It has been retracted, and should not be counted.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

1 author.

Jian LiuInstitute of Physical Education, East China University of Technology, Nanchang, 330013 Jiangxi, China.ORCID https://orcid.org/0000-0002-9067-7714

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As we all know, the dietary nutrition of athletes has a great influence on physical condition and exercise ability. A good diet pattern is the basis of a reasonable diet for athletes. It helps to improve the function and physical state of athletes. This article is aimed at studying the impact of nutritious food on athletes' training and physical health. This article proposes the relevant technology of medical image recognition, which is used to study the relationship between nutritious food and the health of volleyball players and athletes, and proposes methods such as weighing method, meal review method, and measurement method, and the purpose is to exercise nutritional research and provide new ideas and methods. In addition, 200 female volleyball players were randomly selected for comparative analysis. The experimental results in this paper show that the energy intake and energy consumption of the female intervention group maintained a balance after the intervention, and there was a significant change in the negative balance state before the intervention. The energy consumption changed from -158.2 ± 156.2 to -157.2 ± 129.6. The number of athletes whose weight is close to the ideal range has increased from 44.8% to 48.5%.

Indexed as

Physical Conditioning, HumanSports Nutritional Physiological PhenomenaAdolescentAgedAthletesBody CompositionBody WeightComputational BiologyCross-Sectional StudiesDietEnergy IntakeFemaleHumansImage Processing, Computer-AssistedNutritional StatusProspective Studies

Identifiers

PMID34925536
PMCPMC8683183

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.