Evidence map›Paper›PMID 39416514›Full record

ArticleBiology of sport2024

Characterizing the most demanding passages of kinematic and mechanical activity in elite football: a multifactorial approach.

Farzad Yousefian, Abdullah Zafar, Dan Fransson, Magni Mohr, João Brito, Bruno Travassos

Abstract read
In one paragraph

Article in Biology of sport, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

6 authors.

Farzad YousefianResearch Centre in Sports Sciences, Health Sciences and Human Development (CIDESD), Department of Sport Sciences, University of Beira Interior, Covilhã, Portugal.
Abdullah ZafarDepartment of Kinesiology, University of Waterloo, Waterloo, Canada.
Dan FranssonCenter for Health and Performance, Department of Food and Nutrition and Sports Science, University of Gothenburg, Gothenburg, Sweden.
Magni MohrDepartment of Sports Sciences and Clinical Biomechanics, SDU Sport and Health Science Cluster (SHSC), University of Southern Denmark, Odense, Denmark.
João BritoPortugal Football School, Portuguese Football Federation, Oeiras, Portugal.
Bruno TravassosResearch Centre in Sports Sciences, Health Sciences and Human Development (CIDESD), Department of Sport Sciences, University of Beira Interior, Covilhã, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the 5-minute most demanding passages (MDP) of kinematic (distance covered) and mechanical (acceleration and deceleration) activities in elite male football according to multifactorial criterion performance variables. Global positioning systems data were collected from 39 players across 45 matches in the Swedish first division (n = 329 observations). The multifactorial kinematic variable (MDPk) was composed of the concurrent distances covered at moderate-speed running, high-speed running, and sprinting distances, and the multifactorial mechanical (MDPm) considered the concurrent occurrences of high-intensity acceleration and deceleration activities. A moving average method was used to identify the MDP across a 5-minute period. The frequency distribution of the multifactorial variables, and differences in the time of occurrence and magnitude between multifactorial performance variables and their univariate constituent variables were investigated. Frequency distribution analysis revealed MDPk and MDPm peaked in the first 5 min of the match (MDPk: χ

Indexed as

GPSMatch demandsMost intense periodsPerformanceTeam sports

Identifiers

PMID39416514
PMCPMC11475012

What OpenQuestion holds

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LicenceCC BY-SA
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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.