SciELO - Scientific Electronic Library Online

 
vol.34 issue1An evaluation of bicycle-specific agility and reaction times in mountain bikers and road cyclistsAddressing negative psychosocial factors linked to severe injury in professional rugby players: An introduction to a group psychotherapy approach author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Article

Indicators

Related links

  • On index processCited by Google
  • On index processSimilars in Google

Share


South African Journal of Sports Medicine

On-line version ISSN 2078-516X
Print version ISSN 1015-5163

Abstract

DUBE, S  and  GROBBELAAR, H. Prevalence of the relative age effect among high-performance, university student-athletes, versus an age-matched student cohort. SA J. Sports Med. [online]. 2022, vol.34, n.1, pp.1-6. ISSN 2078-516X.  http://dx.doi.org/10.17159/2078-516x/2022/v34i1a13310.

BACKGROUND: Relative age effect (RAE) refers to the over-representation of athletes born earlier in the calendar year covering a specific sport. The RAE is especially prevalent in youth sports but often persists into senior competitive levels. OBJECTIVES: To determine the prevalence and magnitude of the RAE among student-athletes in a high performance (HP) programme at a South African university, according to year, sports code and sex, compared to the general student cohort. METHODS: Cross-sectional descriptive analysis of HP-student-athletes and an age-matched student cohort from 2016 to 2021. Birthdate data were extracted for the HP student-athletes (N = 950: men = 644, women = 306) and student comparison group (N = 47 068; men = 20 464; women = 26 591; not disclosed = 13). Differences were determined using Chi-squared and Fisher's exact test. Residuals examined relative age quartile differences. The steps were applied across academic years, sport code and sex. RESULTS: The RAE was more pronounced among the student-athletes compared to the age-matched student cohort. The RAE was occasionally observed among the HP-student-athletes; however, the prevalence was inconsistent across the respective years under investigation and only noted in certain sport codes (i.e. swimming, rugby union and cricket). There were no sex differences among the HP student-athletes. CONCLUSION: Where the RAE was noted, the selection bias favoured the relatively older student-athletes. The mechanisms for RAE are multifactorial and complex. A combination of factors, such as competition depth, the popularity and physicality of a sport and socialisation may be involved.

Keywords : university sport; birth quartiles; selection bias; birth dates.

        · text in English     · English ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License