Journal List > Korean J Sports Med > v.37(3) > 1131241

Jeong, Bang, Park, Lee, Kim, and Kim: Relative Age Effects in Korean Football: Analysis of Age-Specific International Teams

Abstract

Purpose

This study aimed to identify relative age effects of South Korea national male football teams that participated in 38 international competitions in age-specific categories from 2000 to 2018; U-16 (n=176), U-17 (n=82), U-19 (n=198), U-20 (n=147), and U-23 (n=166).

Methods

Available information on birth-dates, heights, and body weights of South Korean elite male football players was collected from the official websites. Chi-square test was conducted and odds ratios were calculated with 95% confidence interval in order to examine differences of quarter distribution between expected and observed subgroups.

Results

The birth distributions observed in each team were significantly different than those expected in general population of the same age (U-16: χ2=59.364, p<0.05; U-17: χ2=36.829, p<0.05; U-19: χ2=51.697, p<0.05; U-20: χ2=39.531, p< 0.05) except U-23 (χ2=17.759, p=0.087). The magnitude of birth distribution was 3.2 times higher in the first quarter compared to that in the fourth quarter and was decreased in accordance with age. In accordance with age, the distribution of “competition age group” was significantly decreased in each team (U-16, 91%; U-17, 89%; U-19, 76%; U-20, 63%; U-23, 42%; p<0.05) but that of “under-competition age group” was increased (U-16, 9%; U-17, 11%; U-19, 24%; U-20, 37%; U-23, 58%; p< 0.05). There is also significant difference in distribution between both “competition” and “under-competition age group” at the same tournament category (p<0.05).

Conclusion

Conclusively, these findings indicate that Korean players who are in the early stage of development have higher “relative age effects” than those in the late stage of development. This may implicate that it is necessary to develop strategies for relatively late-mature players who have potentials in terms of skills and intelligence of football.

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Fig. 1.
Quarterly distribution of birth-date by each age-specific subgroup. Q1: January to March, Q2: April to June, Q3: July to September, Q4: October to December.
kjsm-37-94f1.tif
Fig. 2.
Birth-month distribution of players by age-specific subgroups. Distribution of each subgroup was significantly different in accordance with month (p<0.05).
kjsm-37-94f2.tif
Fig. 3.
Distribution of “competition age group” and “under-competition age group” significantly decreased (∗) and increased () in accordance with age, respectively. In each age-specific subgroup, there were significant differences in the distribution between both groups ().
kjsm-37-94f3.tif
Table 1.
Age-specific international competitions included in the study
Group U-16 (n=176) U-17 (n=82) U-19 (n=198) U-20 (n=147) U-23 (n=166)
Tournament 8 AFC Championship (2002, 2004, 2006, 2008, 2012, 2014, 2016, 2018) 4 FIFA WC (2003, 2007, 2009, 2015) 9 AFC Championship 2002, 2004, 2006, 2008, 2010, 2012, 2014, 2016, 2018) 7 FIFA WC (2003, 2005, 2007, 2009, 2011, 2013, 2017) 5 AG (2002, 2006, 2010, 2014, 2018), 5 OG (2000, 2004, 2008, 2012, 2016)

AFC: Asian Football Confederation, FIFA: Federation Internationale de Football Association, WC: World Cup, AG: Asian Games, OG: Olympic Games.

In U-23 subgroup, players who were over-competition age (i.e., wild card) were excluded.

All data were sourced from www.kfa.or.kr, www.fifa.com, and www.the-afc.com.

Table 2.
Comparison of differences between the observed and expected birth-date distributions across the four quarters
Group Number Median birth month χ2 p-value Regression coefficient
β p-value
U-16 176 April 59.364 0.000 −0.879 0.000
U-17 82 April 36.829 0.000 −0.762 0.000
U-19 198 April 51.697 0.000 −0.752 0.000
U-20 147 April 39.531 0.000 −0.751 0.000
U-23 166 June 17.759 0.087 −0.591 0.000
Entire cohort 769 April 156.841 0.000 −0.903 0.000

χ2 : chi-square test.

Table 3.
The magnitude of quarterly distribution of players in each age-specific subgroup
Group Number Q1/Q4 Q2/Q4 Q3/Q4
U-16 176 4.0 (1.7−9.5) 2.5 (1.0−6.2) 1.5 (0.6−4.0)
U-17 82 3.8 (1.6−8.7) 2.8 (1.2−6.5) 0.8 (0.3−2.3)
U-19 198 3.5 (1.5−8.2) 2.2 (0.9−5.2) 1.7 (0.7−4.1)
U-20 147 3.7 (1.6−8.5) 2.1 (0.9−5.0) 1.7 (0.7−4.1)
U-23 166 2.1 (0.9−4.7) 1.5 (0.6−3.5) 1.7 (0.7−3.9)
Entire cohort 769 3.2 (1.4−7.3) 2.1 (0.9−4.9) 1.5 (0.6−3.8)

Values are presented as odds ratio (95% confidence interval).

Q1: January to March, Q2: April to June, Q3: July to September, Q4: October to December.

Table 4.
Mean height and body weight of players in accordance with birth-quarter
Group Total Q1 Q2 Q3 Q4
U-16
Height (m) 1.78±0.06 1.78±0.05 1.78±0.06 1.78±0.05 1.78±0.06
Body weight (kg) 68.4±6.1 68.6±5.5 68.5±7.2 67.4±5.5 68.8±6.3
U-17
Height (m) 1.79±0.06 1.78±0.06 1.79±0.06 1.80±0.05 1.81±0.06
Body weight (kg) 68.4±6.1 68.3±7.3 69.8±7.0 70.1±5.1 69.7±7.4
U-19
Height (m) 1.80±0.06∗ 1.80±0.06 1.81±0.06 1.80±0.06 1.80±0.07
Body weight (kg) 71.8±6.6∗,† 71.6±6.8 72.7±6.3 71.6±5.9 71.0±8.1
U-20
Height (m) 1.81±0.07∗ 1.81±0.07 1.82±0.07 1.81±0.06 1.81±0.08
Body weight (kg) 72.7±6.9∗,† 72.2±6.6 74.3±7.3 71.8±5.6 72.6±9.2
U-23
Height (m) 1.81±0.06∗ 1.80±0.05 1.82±0.07 1.80±0.05 1.83±0.06
Body weight (kg) 73.7±6.3∗,† 72.9±5.4 75.1±7.5 72.4±5.9 75.4±6.2

Values are presented as mean±standard deviation.

Q1: January to March, Q2: April to June, Q3: July to September, Q4: October to December.

∗,† Significantly different from U-16 and U-17 subgroup, respectively (p<0.05).

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