Evidence map›Paper›PMID 39728867›Full record

ArticleSports (Basel, Switzerland)2024

Heading in Female Soccer: A Scoping Systematic Review.

Yinhao Shen, Shinting Chen, Qingguang Liu, Antonio Cicchella

Abstract readScoping Review
In one paragraph

Article in Sports (Basel, Switzerland), 2024. 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. 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

4 authors.

Yinhao ShenInternational College of Football, Tongji University, No.1239, Siping Road, Yangpu, Shanghai 200092, China.
Shinting ChenInternational College of Football, Tongji University, No.1239, Siping Road, Yangpu, Shanghai 200092, China.
Qingguang LiuInternational College of Football, Tongji University, No.1239, Siping Road, Yangpu, Shanghai 200092, China.
Antonio CicchellaInternational College of Football, Tongji University, No.1239, Siping Road, Yangpu, Shanghai 200092, China.ORCID 0000-0002-0851-9312

Funding

Research Fund of Central Universities of China PA2023000337
6 · The paper itself

Abstract

Heading is a key skill in soccer, and it is few investigated in females. Research on heading focused mostly on males and on young players. Data on females' soccer players are sparse and it is difficult to draw firm conclusions. Thus, little is known is known about heading in females. The most investigated aspects of heading are the relationship between heading and play state, training level and anthropometrics. The relationship between the frequency and intensity of headings and long-time outcomes in terms of vigilance, and neuro-cognitive status is also a topic of interest. Aim of this scoping review is to survey the available knowledge about heading in female football to identify possible weaknesses and issues for future research direction in the field. A structured literature search was performed in the main databases. Results show research on heading in female soccer is sparse and to draw firm conclusion on the investigated aspects (effect of play position, occurrence, cognitive impairment, influence of muscle strength, and player's level) is difficult. It emerged mild intensity heading is not dangerous, helmet does not help, play state and player position influences the heading and that high rotational velocities are achieved. The survey identified new directions for research, that should focus on how to ameliorate heading training and skills and develop a more effective and safe heading technique.

Indexed as

femaleheadingheading exposureheading skillskinematicssoccer

Identifiers

PMID39728867
PMCPMC11679905

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.