ArticlePloS one2024
The prevalence of relative age effects in a nationwide analysis of racket sports: Happy birthday?
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- "More players can reach national and international levels": coaches perceptions of "birthday-banding" in youth squash and its potential for minimising relative age effects.Frontiers in sports and active living · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Relative age effects (RAEs) refer to all consequences of chronological age-based systems. The purpose of this study was to investigate the prevalence of RAEs among Turkish racket sports players. As a nationwide analysis, the present study extends beyond the typical investigations of elite-level popular sports by examining RAEs in racket sports players from the lowest grassroots level to the top and from children to veteran athletes. A total of 57476 racket sports players (i.e., badminton, squash, table tennis and tennis) were evaluated in the study. To investigate interquartile distributions, Chi-square goodness-of-fit tests were used. Odds Ratios (OR) and 95% Confidence Intervals (95% CIs) were calculated to compare quartiles. Poisson regression with canonical link was conducted to analyze the count data. A statistically significant difference in the prevalence of RAEs was noted in both genders and in total sample. The ID in Poisson regression shows that players born at the beginning of the year are 1.63 more likely to be represented than those born at the end of the year. Considering the sports separately, statistically significant distribution bias was found in badminton, table tennis and tennis but not in squash. Moreover, regarding the age categories, the peak RAEs were noted in the youngest age category of tennis as 30.6% of players were in Q1 while only 17.4% were in Q4. Such findings have been discussed with different moderators, hypotheses and models such as the developmental systems model, social agents, psychological issues, and the role of selection processes by coaches. In conclusion, process (i.e. athlete development process) is suggested to be focused instead of a point in the continuum for selection and scouting practices, which may ensure avoiding talent loss and sports drop-out and establishing quality sport participation environments for all.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.