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Doubly disadvantaged? The relative age effect in Poland's basketball players.

Introduction

Categorizing players into respective age groups according to a cut-off date is typical of team sports (Baker et al., 2009). This process arises from the necessity of organizing the games for the purposes of competition among young athletes. This grouping leads to a situation in which players with even 12-month chronological age differences are competing against each other (Cobley et al., 2009). Consequently, there are considerable differences in the physical body structure of these athletes, which may hinder their development and promote disturbances in the process of sport talent identification (Williams and Drust, 2012). This situation results in the phenomenon of overrepresentation of players born in the quarter of a calendar year that is the closest to the cut-off date, called the relative age effect (RAE) (Delorme et al., 2010) .

One of the main predictors of success in basketball is height (Silva et al., 2013; Torres-Unda et al., 2013). Additionally, anthropometric basketball players' body measurements are a key factor in selecting their position on the team (Ben Abdelkrim et al., 2010a; Drinkwater et al., 2008; Koklu et al., 2011). Therefore, the advantage in motor skills of relatively older players may disturb the assessment of a player's performance potential (Lockie et al., 2014; Sisic et al., 2016).

The existence of the RAE in basketball has been confirmed in youth and professional sports (Arrieta et al., 2016; Chittle et al., 2016; Delorme and Raspaud, 2009). However, this phenomenon has not been observed among the players of the national teams during the Olympics (Werneck et al., 2016). The only exception was the national team of France, where the occurrence of RAE among the entire population of basketball players was confirmed by another study (Delorme and Raspaud, 2009). Additionally, the RAE has not been reported in the National Collegiate Athletic Association (NCAA) in the United States (Chittle et al., 2016). Nevertheless, the RAE in European basketball is a phenomenon with a long-term influence, resulting in the overrepresentation of judges and coaches born in the first quarter of a calendar year (Schorer et al., 2011).

Skewed distribution of dates of birth was observed at any positon on the court regardless of sex (Arrieta et al., 2016). However, a basketball player's position in the field is related to body height and age at peak height velocity (APHV) (Ben Abdelkrim et al., 2010a). Additionally, boys enter their APHV much later than girls (Carvalho et al., 2011). Furthermore, a strong relation between the RAE and players' performance, called the PIR (performance index rating) index (Torres-Unda et al., 2016), has been observed. The statistical formula for calculating the PIR index generally classifies the player's performance and his/her impact on the team's performance. However, the PIR index may not have been sufficiently adjusted to the specific characteristics of youth basketball.

A player's age at puberty is a key distracting factor in the process of basketball selection (te Wierike et al., 2015). It has been observed that the weight of a basketball may considerably change the shooting strategy of young players (Arias et al., 2012). Therefore, players with a physical advantage over their peers may make more three-point attempts. Furthermore, there is a shooting technique in which the hands are held up high among young players, which may hinder effective defense for shorter players (Arias, 2012). Consequently, shorter players may choose to shoot from distances closer to the basket, often giving up long-distance shots completely. However, there has been no research identifying the RAE phenomenon considering effectiveness with regard to a shot zone in relation to a player's position during a game.

To address this research gap, the objective of the article is to identify the RAE in youth basketball games in Poland while taking into consideration the age, sex and the players' match statistics. Additionally, the aim of this study is to determine whether differences in the body height of players are associated with the success of the team. We hypothesized that the phenomenon of RAE occurs in the Polish Championships, regardless of sex and age of the basketball players.

Methods

Data collection

This study included 7268 young male and female basketball players from 591 teams registered in the official database of the Polish Basketball Association between 2013 and 2016. The analyzed players were from 14 to 22 years old and participated in the finals of the Polish Championships. The obtained data concerned the date of birth, body height and players' match statistics. The Central Statistical Office provided distributions of births in the Polish population (PP) between 1994 and 2003, which corresponded to the dates of birth in the analyzed groups. The data were obtained according to the Data Protection Act in Poland. All the research procedures were approved by the Research Ethics Committee of the University School of Physical Education in Wroclaw.

Procedures

To identify the date of birth distribution, the players were assigned to the subsequent quarters of a calendar year: Q1 (January-March), Q2 (April-June), Q3 (July-September), and Q4 (October-December). Furthermore, the players were divided into two halves of a year: H1 (January-June) and H2 (July-December). The dates of birth of female and male populations in Poland between 1994 and 2003, which correspond with the dates of birth of the players participating in the finals of the Polish Youth Basketball Championships, were arranged in a similar way. Additionally, the players were assigned to three categories according to the obtained results of teams: the best three teams of a particular category (TOP 3), teams ranked 4th-8th (4-8 PLACES) and others that did not qualify for the quarterfinals (9 or LESS).

The players' PIR was calculated according to the formula used by the International Basketball Federation (FIBA):

PIR = (Points + Rebounds + Assists + Steals + Blocks + Fouls Drawn) / (Missed Field Goals + Missed Free Throws + Turnovers + Shots Rejected + Fouls Committed)

Statistical analysis

The statistical analysis was carried out with the use of IBM SPPS statistical software (version 22.0, IBM SPSS, Armonk, NY, USA). The normality of distribution of variables was investigated with the Kolmogorov-Smirnov test with the Lilliefors correction. The significance of differences in the numbers in the particular quarters was analyzed with a chi-squared test ([chi square]) among all the analyzed groups. The effect-size measure was calculated using Cramer's V measure. Differences in body height and match statistics were analyzed with ANOVA and Tukey's post hoc test. The calculations used a confidence interval of p < 0.05.

Results

The distribution of the birthdates of male and female players is shown in Table 1. The RAE was observed in each of the analyzed groups. The most statistically robust RAE finding occurred in U16 group of boys (V = 0.25, p < 0.0001). The strength of the effect (V) of the RAE was the lowest in U22 female and U20 male players.

Table 2 shows the average body height of young female and male basketball players for each quarter. Significant differences in the average body height were recognized in U14 group of girls (p < 0.01) as well as U14 and U16 boys (p < 0.0001). Therefore, the half-yearly comparison showed a difference in the average body height of boys from U18 category (p < 0.01) born in the first half of a calendar year.

The differences in the mean match statistics of male and female basketball players are presented in Table 3. Significant differences were observed in each of the analyzed statistics in U14 group of boys. Additionally, the value of the PIR index was higher in U18 group of girls (p < 0.001) born in the first half of a calendar year.

The distribution of birth dates of male and female players according to the place won by a team in the Polish Youth Championships is shown in Table 4. The RAE was observed in each category; it was the most visible in the group of boys from teams with the worst results (p<0.0001) and characterized by the largest disproportion of body height among players born in the first or fourth quarter of a calendar year (p < 0.0001). Height averages were the highest in the group of male and female players from the top 3 teams (p < 0.001) (Figure 1).

Discussion

The aim of this article was to identify the distribution of birthdates among male and female players participating in elite basketball games in Poland. We assumed that the RAE phenomenon will be strongly visible among young Polish basketball players. The skewed distribution of the birthdates of male and female players was observed regardless of an age category. Additionally, a difference in the average heights and match statistics in the group of players born in the first half of a year was recognized. This study shows the difference in body height between players born in different quarter of the calendar year in the youngest basketball players.

The results of our study are consistent with the findings of Arrieta et al. (2016), who showed a strong RAE phenomenon in youth teams of European countries. Accordingly, the nature of disparities in the distributions of dates of births and their decreasing in the older groups are consistent with reports concerning German elite youth basketball competitions (Steingrover et al., 2017). Furthermore, differences in body height in players born in different quarters of a year were similar to those of French populations of male and female basketball players (Delorme and Raspaud, 2009). Previous studies have shown significant differences in players' body heights between the selected group of players (elite) and players with lower skill levels (non-elite) (Drinkwater et al., 2007; Torres-Unda et al., 2013). Therefore, the results of this study suggest that discrimination against shorter players is associated with the results of youth basketball teams. This phenomenon especially affects players who were born in the last quarter of a calendar year. This condition may stem from the fact that a chronological age and age at peak high velocity are key factors influencing the body heights of young basketball players (te Wierike et al., 2015).

The process of talent identification is multivariate and strongly influenced by body height, motor abilities and basketball skills (Hoare, 2000). In addition, basketball requires from the player to take a high frequency of high-intensity movements in 24 seconds of action. (Ben Abdelkrim et al., 2010b; Marcelino et al., 2016). The discussed players seem to be "doubly disadvantaged" due to discrimination with regard to the quarter of birth and body height. Additionally, the RAE as well as differences in body heights in the analyzed groups are more significant in boys from U14 and U16 groups, who enter their age at peak high velocity later than girls (Carvalho et al., 2011). Thus, a talented boy playing basketball with a much younger chronological age and delayed entry into APHV may have difficulties with effective performance on the court. This difficulty is related to the fact that higher values of blocks and effectiveness on two-point shots are features distinguishing winning teams from failing teams in youth boys' games (Lorenzo et al., 2010). This correlation is confirmed by the results of the present study that showed significant differences in the PIR of U14 players born in different halves of a calendar year. Differences in the distribution of birthdates and body heights of young female basketball players from successful teams are less visible than in boys because of the dynamics of puberty in girls, which are different than that in boys. A two-and-ahalf-year delay in bone development at the age of puberty has been demonstrated in boys in relation to girls (Baptista et al., 2016). Accelerated stabilization of the ultimate girls' body heights is reflected in a faster blurring of differences between body height and the quarter of birth than in older boys' categories. This phenomenon is also confirmed by the results of this study, which revealed a lack of significant differences in the body heights of female players based on the quarter of the year in which they were born or between body heights and match statistics in U16 category and higher.

Men's and women's basketball differ in demands of physical requirements for players (Sampaio, et al., 2004). Furthermore, the players' physical advantage, could be crucial in men's basketball (Ribeiro et all., 2016). The results of our study show a different nature of the changes in the distribution of birth dates in youth basketball players due to gender. It depends not only on the PHV start time but also on non-linear development of motor skills (i.e. isometric strength), as in boys. (Buchanan et al., 2003; Ioakimidis et al., 2004). Therefore, it is reasonable to create dedicated solutions for each gender to minimize the phenomenon of RAE in youth basketball. In Poland, young male and female players take part in the central games from the age of 14. During that time, the first selection to national teams begins. The latest findings of Jakovljevic et al. (2016) showed tremendous differences in anthropometric constitution and agility in boys who reach puberty early, normally and late at the age of 14 years. A greater than 20-cm difference in body height and a 12-cm advantage in vertical jumping may constitute a great hindrance to talented basketball players who reach the age of puberty late. In the youth groups, the selection of players who score the highest number of points during a game clearly favors taller players. This correlation has been confirmed by the research of Erculj and Strumbelj (2015), who indicated that the distance from the basket is a determinant of effectiveness of shots in youth basketball. Additionally, these authors report a higher frequency of dribbling and cutting in senior games. In this case, disproportions in the anthropometric constitution of guards may considerably limit the effectiveness of these actions because of players who reach their puberty age late. In summary, the RAE is present in every category of the game, regardless of the age of the players. However, the differences in body height related to the quarter in which a player was born are visible only in younger categories. The later entry of boys into the APHV may be connected with the discrimination in successful youth basketball teams against players who grow up more slowly. A player born in the last quarter of a calendar year who reaches his puberty age late seems to be "doubly disadvantaged." In girls, this "double discrimination" may occur around the ages of Hand 12 years.

Limitations

The current study had some limitations. Firstly, this study concerns only the analyzed distribution of birth dates in youth basketball in Poland, without taking into consideration the mechanisms of players' selection for teams. Therefore, it seems reasonable to include the wide social context of the phenomenon of RAE in Poland in future studies.

Conclusion

The biological development of boys and girls is different. Thus, it is necessary to create comprehensive strategies to minimize the RAE phenomenon in basketball, for each sex separately. In relation to the results of this study, coaches evaluating the potential of young boys playing basketball should be especially focused on players who are 14 years old. For example, many talented boys, U14 players, may be rejected in the process of selection because of the RAE and slower physical development. At the same age, most of the girls playing basketball are already close to the end of puberty. Trainers should carefully observe decisions made by the player during a game and their tactical context. The evaluation of shooting effectiveness may be disrupted by differences in anthropometric indices and the motor skills of their opponents.

Key points

* The RAE was identified in all groups competing in the elite games of the Polish Youth Championships.

* Height averages were the highest in the group of male and female players from the top 3 teams.

* The research results show the impact of the RAE on the success of youth basketball teams in Poland.

* It is necessary to create comprehensive strategies to minimize the RAE phenomenon in basketball, for each sex separately.

Received: 30 January 2017 / Accepted: 06 May 2017 / Published (online): 01 June 2017

Acknowledgment

This study is in line with current laws in the Poland. There is no conflict of interest, and this study did not use sources of funding.

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Krystian Rubajczyk [mail], Kamil Swierzko and Andrzej Rokita

Department of Team Games Sport, University School of Physical Education in Wroclaw, Poland

[mail] Krystian Rubajczyk Department of Team Games Sport, University School of Physical Education, Wroclaw, Poland

AUTHOR BIOGRAPHY

Krystian RUBAJCZYK

Employment

Assistant, University School of Physical Education in Wroclaw, Department of Team Sport Gaines

Degree

MSc

Research interests

Identification of the REA in team sports

E-mail: krystian.mbajczyk@gmail.com

Kamil SWIERZKO

Employment

Assistant, University School of Physical Education in Wroclaw, Department of Team Sport Games

Degree

MSc

Research interests

Talent identification in team sports, motor abilities

E-mail: kamil.swierzko@gmail.com

Andrzej ROKITA

Employment

Professor, University School of Physical Education in Wroclaw, Department of Team Sport Games

Degree

PhD, DSc

Research interests

The use of the "EDUball" educational ball in primary schools. Talent identification in team sports.

E-mail: andrzej.rokita@awf.wroc.pl

Caption: Figure 1. Differences in the body heights of young male and female basketball players in Poland stratified by the results of each team.
Table 1. Analysis of birth dates distribution by quarter of Polish
youth basketball players between 2013 and 2016.

                    Q1 (%)        Q2 (%)        Q3 (%)

[female]   U 14   430 (35.02)   319 (25.98)   304 (24.75)
           U 16   318 (34.49)   269 (29.18)   207 (22.45)
           U 18   268 (29.78)   270 (30.00)   213 (23.67)
           U 22   107 (29.00)   113 (30.62)   82 (22.22)

[male]     U 14   468 (38.27)   361 (29.52)   247 (20.19)
           U 16   388 (41.86)   271 (29.23)   179 (19.31)
           U 18   341 (37.60)   276 (30.43)   178 (19.62)
           U 20   277 (34.98)   213 (26.89)   171 (21.59)

                    Q4 (%)      TOTAL   [[chi square].sub.3]     p

[female]   U 14   175 (14.25)   1228           56.92           <.0001
           U 16   128 (13.88)    922           47.55           <.0001
           U 18   149 (16.55)    900           23.61           <.0001
           U 22   67 (18.16)     369            7.81            <.05

[male]     U 14   147 (12.02)   1223           101.26          <.0001
           U 16    89 (9.60)     927           112.98          <.0001
           U 18   112 (12.35)    907           72.70           <.0001
           U 20   131 (16.54)    792           29.31           <.0001

                   V    Effect

[female]   U 14   .15   small
           U 16   .16   medium
           U 18   .11   small
           U 22   .10   small

[male]     U 14   .20   medium
           U 16   .25   medium
           U 18   .20   medium
           U 20   .14   medium

[[chi square].sub.[3.bar]]--chi-squared test value; p--probability
value; V--Cramer's V value

Table 2. Comparison of body height (cm) between categories of male
and female basketball players at Polish youth basketball players
between 2013 and 2016. Data are means ([+ or -] SD).

                     Q1 (SD)         Q2 (SD)       Q3 (SD)

            U14     168.3 (7.1)     166.9 (8.2)   166.8 (7.4)

[female]   U 16     172.2 (7.2)     172.4 (7.2)   172.4 (7.45)
           U 18     173.5 (7.3)     174.4 (6.5)   173.9 (7.8)
           U 22     175.9 (6.5)     177.3 (7.1)   175.8 (7.7)

[male]     U 14     176 4 (10 3)    174 4 (9 6)   172 2 (9 8)
           U 1 6    1Q4 8 (7 Q)     1Q5 3 (Q 4)   184 2 (8 6)
           U 1 Q    1 QQ Q (7 4)    1Q9 9 (7 7)   187 6 (8 5)
           U 20     190.9 (7.7)     191.0 (7.6)   189.4 (8.5)

                   Q4 (SD)           Q1-Q4             Post hoc
                               ([double dagger])

           U14    166.1 (6.9)         2.18           Q1=Q2=Q3>Q4 *
                                                     Q1,Q2>Q3,Q4 **
[female]   U 16    171.8 (6.5)          .42            Q1=Q2=Q3=Q4
           U 18    172.8 (6.4)          .73            Q1=Q2=Q3=Q4
           U 22    175.7 (7.1)          .19            Q1=Q2=Q3=Q4

[male]     U 14    169 5 (9 4)         6 87          Q1 >Q2>Q3>Q4 ***
                                                      Q1,Q2>Q3,Q4 ***
           U 1 6   1Q1 2 (9 4)         3 66           Q1=Q2=Q3>Q4 *
                                                      Q1,Q2>Q3,Q4 **
           U 1 Q   188 4 (9 1)          42             Q1=Q2=Q3=Q4
                                                      Q1,Q2>Q3,Q4 *
           U 20    190.5 (8.7)          .41            Q1=Q2=Q3=Q4

* p<0.01, ** p<0.001, *** p<0.0001 for post hoc Tukey Test. ([double
dagger]) Height difference Q1 to Q4

Table 3. Differences in the mean match statistics of male and female
basketball players participating in Polish Youth Championship games
in a half-yearly comparison ([H.sub.1]-[H.sub.2]).

                  BH [cm]      PTS     AST      REB       STL

[female]   U 14    1.19 *      .43     .02      .28       .08
           U 16     .14        .69     .08      .37       .05
           U 18     053        .80     .18*     .32       .18*
           U 22     085        .72     .16      .30       .15

[male]     U 14   4 39 ***   1.63 **   .15    1.28 ***   .29 **
           U 16    1.81 *     -.04     -.11     .20       .01
           U 18     1.4*       .05     -.08     .12       .05
           U 20     1.01      -.08     -.08     -.01      -.03

                   Hbls      TO       PIR

[female]   U 14    .02      .05       .48
           U 16    .01      .14       .52
           U 18    .01      .16       .95*
           U 22    .07      .20       .95

[male]     U 14   17 ***   47 ***   2.22 ***
           U 16    -.01     -.05      .05
           U 18    -.02     .04       -.21
           U 20    -.05     -.04      -.49

BH--body height; PTS--points per game; AST--assists per game;
REB--rebounds per game; STL--steals per game; BLS -blocks per game;
TO--turnovers per game. * p<0.01, ** p<0.001, *** p<0.0001 for
post hoc Tukey Test

Table 4. Distribution of birth dates of players compared to the
teams' results in the Polish Youth Basketball Championships.

                                Q1 (%)        Q2 (%)        Q3 (%)

[female]        TOP 3         154 (34.4)    122 (27.2)    111 (24.8)
              4-8 PLACES      222 (30.7)    235 (32.5)    155 (21.4)
              9 OR LESS       747 (33.2)    614 (27.3)    540 (24.0)

[male]          TOP 3         166 (35.9)    135 (29.2)    103 (22.3)
              4-8 PLACES      302 (38.3)    220 (27.9)    159 (20.2)
              9 OR LESS       1006 (38.7)   766 (29.5)    514 (19.8)

         Polish Population  53362(25.3)   54879(26.0)   5557 (26.3)
            ([dagger])

                                Q4 (%)      TOTAL        HEIGHT
                                                     Q1-Q4 ([double
                                                     dagger]) [cm]

[female]        TOP 3          61 (13.6)     448          ,48
              4-8 PLACES      112 (15.5)     724          1.03
              9 OR LESS       346 (15.4)     2247         .73

[male]          TOP 3          59 (12.7)     463          1.15
              4-8 PLACES      108 (13.7)     789          .40
              9 OR LESS       311 (12.0)     2597       3.50 ***

         Polish Population  47233(22.4)   211046
            ([dagger])

                              [[chi square].sub.[3.bar]]     p       v

[female]        TOP 3                    22.1              <.0001   0.16
              4-8 PLACES                29.44              <.0001   0.14
              9 OR LESS                 80.31              <.0001   .13

[male]          TOP 3                   29.73              <.0001   .18
              4-8 PLACES                53.46              <.0001   .18
              9 OR LESS                 221.44             <.0001   .21

         Polish Population
            ([dagger])

                             Effect

[female]        TOP 3         medium
              4-8 PLACES      small
              9 OR LESS       small

[male]          TOP 3         medium
              4-8 PLACES      medium
              9 OR LESS       medium

         Polish Population
            ([dagger])

[[chi square].sub.[3.bar]]--chi-squared test value; p--probability
value; V--Cramer's V value, * p<0.01, ** p<0.001, *** p<0.0001 for
post hoc Tukey test, ([dagger]) births per year in 1995-2003,
([double dagger]) Height difference Q1 to Q4
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Article Details
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Title Annotation:Research article
Author:Rubajczyk, Krystian; Swierzko, Kamil; Rokita, Andrzej
Publication:Journal of Sports Science and Medicine
Article Type:Report
Geographic Code:4EXPO
Date:Jun 1, 2017
Words:5001
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