Evidence map›Paper›PMID 31310610›Full record

ArticlePloS one2019

A new approach to study the relative age effect with the use of additive logistic regression models: A case of study of FIFA football tournaments (1908-2012).

Miguel Saavedra-García, Marcos Matabuena, Antonio Montero-Seoane, Juan J Fernández-Romero

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

4 authors.

Miguel Saavedra-GarcíaGrupo de Investigación en Ciencias del Deporte (INCIDE). Departamento de Educación Física y Deportiva, Universidade da Coruña, A Coruña, Spain.ORCID 0000-0001-6248-9188
Marcos MatabuenaCentro Singular de Investigación en Tecnoloxías da Información (CiTIUS), Universidade de Santiago de Compostela, Santiago de Compostela, Spain.
Antonio Montero-SeoaneGrupo de Investigación en Ciencias del Deporte (INCIDE). Departamento de Educación Física y Deportiva, Universidade da Coruña, A Coruña, Spain.
Juan J Fernández-RomeroGrupo de Investigación en Ciencias del Deporte (INCIDE). Departamento de Educación Física y Deportiva, Universidade da Coruña, A Coruña, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relative age effect plays an important role in the pursuit of excellence, providing advantage to athletes born at the beginning of the year or near the cut-off date. This phenomenon has been observed in areas such as sports, education or business. Traditionally, the chi-square test has been used to analyze whether there are statistically significant differences in the distribution of births in each of the four quarters of the year. However, this approach is limited, focusing only on the analysis of the response variable, without taking into account the effect of a set of predictive variables. In this paper a new approach is proposed to study the relative age effect with the use of a logistic regression additive model. The new method has been evaluated with a sample of 21,639 players involved in football tournaments organized by the Fédération Internationale de Football Association (FIFA) between 1908 and 2012. New conclusions have been established that the relative age effect exists regarding player age and the year of the competition in male FIFA competitions and its effect is dynamic and complex.

Indexed as

Age FactorsAthletesRegression AnalysisSoccerAdolescentAdultFemaleHumansLogistic ModelsMaleOdds RatioPoisson DistributionPredictive Value of TestsYoung Adult

Identifiers

PMID31310610
PMCPMC6634404

What OpenQuestion holds

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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.