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ORIGINAL RESEARCH article

Front. Sports Act. Living, 01 July 2024
Sec. Elite Sports and Performance Enhancement
This article is part of the Research Topic Physical, Physiological and Technical Development in Youth Athletes View all articles

Norwegian male U14 soccer players have superior running capacity compared to Icelandic players

\r\nSigurur BenediktssonSigurður Benediktsson1Erlingur Johannsson,
&#x;Erlingur Johannsson1,2*Cecilie Brekke Rygh,,&#x;Cecilie Brekke Rygh3,4,†Hilde Gundersen,&#x;\r\nHilde Gundersen2,†
  • 1Center of Sport and Health Sciences, School of Education, University of Iceland, Reykjavik, Iceland
  • 2Department of Sport, Food and Natural Sciences, Western Norway University of Applied Sciences, Bergen, Norway
  • 3Department of Health and Functioning, Western Norway University of Applied Sciences, Bergen, Norway
  • 4Department of Radiology, Haukeland University Hospital, Bergen, Norway

The organisation and development strategies of youth soccer differ between Norway and Iceland. Whether this affect physical capacity is unknown. Thus, the first aim of the present study is to compare physical capacity between players from Iceland and Norway. Secondary aim is to assess associations between biological maturity and physical capacity in the Icelandic players since an association previously has been shown among the Norwegians. There were 48 U14 players from Iceland included and 103 players from Norway. Bone age (BA), measured with left-wrist x-ray, was used as an indicator of biological maturity. To measure physical capacity, 40 metre (m) linear sprint, standing long jump (SLJ), countermovement jump (CMJ), the Yo-Yo intermittent recovery test (IR1-test) and a maximal oxygen uptake test (VO2max) were used. Training load was assessed by questionnaire. The results showed that the Norwegian players ran faster (5.90 ± 0.38 vs. 6.37 ± 0.44 s, p < .001), had better intermittent endurance capacity (1,235 ± 461 vs. 960 ± 423 m, p < .001) and higher VO2max, (60.3 ± 6.5 vs. 54.8 ± 5.3 ml·kg−1·min−1, p < .001) than the Icelandic players. The players from Norway reported a higher number of weekly organised soccer training hours than the Icelandic. We also found significant correlations between BA and performance on 40 m linear sprint (r = −.566, p < .001), SLJ (r = .380, p = .008) and CMJ (r = .354, p = .014) among the Icelandic players. Moreover, no correlations were found between BA and VO2max or intermittent endurance capacity. In conclusion, the Norwegian players ran faster and had better VO2max and intermittent endurance capacity than the Icelandic players. Biological maturity level was associated with speed and jumping performance in U14 soccer players in Iceland, but not with VO2max or intermittent endurance capacity. Findings indicate that more research is needed to investigate the influence of different organisation and structure of youth soccer between the two countries on physical capacity.

1 Introduction

Soccer requires players to possess physical, technical, and tactical capabilities (1) due to its complexity. Despite the goal of developing successful soccer players at the elite senior level, the organisation and development strategies in youth soccer differ between countries (24). To succeed at the elite level, speed, intermittent endurance capacity and aerobic capacity at high level are required (59). The growth, biological maturity and physical capacity of male youth soccer players have received great attention in the literature (1015). However, it remains unclear how various organizational and developmental strategies in youth soccer impact the development of physical capabilities among young athletes.

Both in Norway and Iceland, soccer is the most popular sport among children and youth. Players from both countries usually train with their local soccer club on teams with their schoolmates until the age of 13. After that age, the organisation differs between the countries. In Iceland, there is no strict differentiation between grassroots and elite youth soccer and the opportunity to join local soccer clubs is available for all youth soccer players regardless of their skills or training backgrounds, meaning that players at different levels are training together. The soccer clubs in Iceland do not have a traditional soccer academy for talent development, according to definitions from the Fédération Internationale de Football Association (FIFA) (16). Unlike in Iceland, most elite clubs in Norway recruit talented youth players from local soccer clubs to their academies at the age of 13–15 years, meaning that players at highest level train and play matches together as suggested by FIFA. Despite different organisational and developmental strategies for youth soccer, both Iceland and Norway have a strong passion for soccer and have achieved notable success on the international stage, making them interesting subjects for comparison. In 2023, both Iceland and Norway qualified for the male European U20 championship, showing that both countries have national junior teams at elevated levels.

Bone age (BA) is an important marker of biological maturation, in other words, puberty. In youth athletes, physical capacity is influenced by puberty, making talent identification and development challenging. Several studies have shown that biological maturity level is associated with physical capacities, indicating that more mature youth players have a physical advantage compared to their less mature peers (1722). While the relationship between biological maturation and physical capacity has been established among Norwegian soccer players, it remains unexplored among Icelandic players. Thus, it is imperative to acknowledge the role of biological maturation when comparing physical capacities across different populations.

Comparing physical capacity among youth players from two countries with distinct soccer traditions is interesting, despite their small populations. Moreover, a comparison of physical capacities among youth soccer players from two different Nordic countries is lacking in the current literature. Based on current knowledge, the first aim of this study was to compare physical capacity between 14-year-old soccer players from Norway and Iceland. Considering the notably distinct structures and organization of youth soccer in Norway and Iceland, our hypothesis posits that the physical capacities of 14-year-old soccer players from these two Nordic countries would differ. Secondly, we aimed to assess the association between biological maturity and physical capacity in 14-year-old Icelandic soccer players. Our second hypothesis is to confirm the association between biological maturity and physical capacity in 14-year-old Icelandic soccer players as have been shown in the Norwegian players.

2 Materials and methods

The present study was a collaboration between researchers at the University of Iceland, Reykjavik, Iceland, and Western Norway University of Applied Sciences, Bergen, Norway. The data included in this study for the U14 players in Norway was collected in June 2018 as part of a longitudinal research project examining factors related to talent development in youth soccer. The results from the Norwegian sample have previously been published for other purposes (19, 20, 23). Data from Iceland was collected from February to May 2021. All tests were conducted indoors with experienced testing personnel. The same test protocol was used in both countries.

2.1 Participants

In total, 151 U14 male soccer players were included in this study. The Norwegian players (n = 103) were recruited from seven local U14 soccer teams. Among the Norwegian players, 80 were selected to local academy teams before the U14 season, whereas 23 played on lower-level teams, defining them as deselected players. The Icelandic players (n = 48) were recruited from two local U14 soccer clubs. Since there are no academies in Iceland, both teams included players at all levels.

Both the National Bioethics Committee of Iceland (VSN-19-206) and the Regional Committee for Medical and Health Research Ethics in Norway (2017/1731) approved the study, and the study was conducted in accordance with the Helsinki Declaration. Because players were under the legal age of consent, both the players and their parents gave written informed consent for participation. Results were treated anonymously for all participants.

2.2 Anthropometric data

Anthropometric measurements included height and weight. Height was measured with a stadiometer (Seca 206 and Seca 217, Hamburg, Germany). Measurements were performed barefoot using standard procedures. In Norway, body weight was assessed with an eight-polar bioimpedance method using multifrequency current (InBody™ 720, Biospace Co.). In Iceland, body weight was assessed using a digital weight scale (FG-150KAL, A&D Company, limited).

2.3 Physical tests

In Norway, 40 m linear sprint, standing long jump (SLJ) and the Yo-Yo intermittent recovery test (IR1-test) were performed on the first test day, whereas countermovement jump (CMJ), and maximal oxygen uptake (VO2max) were assessed on the second test day. The same order of tests was completed in Iceland, except for an additional test day for the IR1-test for practical reasons. The players were wearing t-shirts, along with shorts and indoor sports shoes during the tests.

2.4 40-m linear sprint

A 40 m linear sprint test was conducted to measure the player's speed. All players conducted a standardized 30-min warm-up protocol before the test, led by a physical trainer. The warm-up consisted of 10-min low-intensity running, followed by 5 min of dynamic stretching. In the final part of the warm-up, players performed 4 × 40–50 m linear runs with increasing intensity and speed, followed by two maximal linear accelerations of 20 m.

After the warm-up, all players performed three maximal sprints of 40 m separated by 2–3 min of rest. The players started from a standing position with split legs, with the toes of the front foot placed 60 cm behind the first photogates. The fastest sprint of three attempts was included in the analysis (24).

A wall-mounted photogate system (IC Control TrackTimer) was used in Norway, whereas a portable photogate system (Witty, Microgate, Italy) was used in Iceland. The height of the first photogate was 50 cm above the running surface, while the photogates at 10, 20, 30, and 40 m were positioned 120 cm above the running surface (24).

2.5 Jump performance

2.5.1 Standing long jump

Standing long jump (SLJ) was performed to measure the player's explosive strength in the horizontal plane. Players started with both feet placed behind a line marked on the ground and jumped as long as possible in a forward direction. Players were not allowed to move their feet before jumping. Players had magnesium under the soles of their shoes to identify the landing mark. The horizontal distance from the start line to the mark made by the heel closest to the start line was measured and used to determine the jumping length. The jump was not approved if the player touched the ground with one of their hands. The best of three attempts was used in the analyses.

2.5.2 Countermovement jump

Countermovement jump (CMJ) was performed to measure the players explosive strength in the vertical plane. Players started in a standing position with their arms on their hips, and with hips and legs extended. Players were instructed to jump as high as possible, after an initial knee flexion. They were also instructed to have straight legs in the air. Instructions on jump technique and trail jumps were given to ensure that players were familiar with the jumping technique. The best of three attempts was used in the analyses. The CMJ test was performed with the Kistler 9286B force plate (Kistler Instruments AG) in Norway and an optical measurement system with a sampling frequency of 1,000 Hz (Optojump RX 10, Microgate, Italy) in Iceland. Maximum jump height in centimetres (cm) was calculated from take-off velocity in Norway and from flight time in Iceland.

2.6 Aerobic capacity and intermittent endurance capacity

2.6.1 Maximal oxygen uptake

To determine VO2max, players ran on the constant inclination of 5.3% on a motorized treadmill (Woodway PPS55, USA). The inclination of the treadmill was used to limit the effect of the running technique on test performance. The test protocol started with a speed between 7 and 10 km h−1, with individual starting speeds decided for each player after the warm-up. After the start of the test, the speed was increased by 1 km h−1 every minute to voluntary exhaustion. The VO2max was determined using the highest average of two consecutive 30-s measurements (ml·kg−1·min−1). Players' perceived exertion on the Borg scale was registered within 30 s after the test was finished.

Before the test, each player performed a 10-min warm-up on a treadmill, with a gradual increase in speed. Heart rate (HR) was measured with an HR monitor (Polar V800, Polar Electro OY). The volume of oxygen (VO2) was measured using a computerized metabolic system with a mixing chamber (Oxycon Pro, Erich Jaeger GmbH). The flowmeter was calibrated with a 3-L volume syringe (Hans Rudolph, Inc.) before each test. The VO2 and carbon dioxide (VCO2) using high-precision gases were also calibrated (16.00 ± 0.04% O2 and 5.00 ± 0.1% CO2, Riessner-Gase GmbH & co, Lichtenfels, Germany).

2.6.2 The Yo-Yo intermittent recovery test

The Yo-Yo intermittent recovery test (IR1-test) was used to assess the players' intermittent endurance capacity. Standardized procedures were conducted, with a standard starting speed for all players (25). The total distance covered in metres was used for statistical analysis. In Norway, the test was performed on an indoor wooden sports floor, while in Iceland, players ran the test in an indoor soccer arena with artificial grass.

2.7 Questionnaire data

All players answered questions regarding the number of sessions and hours of weekly organised soccer training and the age at which they started to play organised soccer.

2.8 Bone age

Players underwent an x-ray of their left wrist to estimate skeletal and biological maturity based on their bone age (BA). The x-ray images were obtained using Siemens Yasi Max with the integrated imaging system FLUORPSPO Compacts (software version VE10; Siemens Healthineers). The field of view covered the hand, as well as 3 cm of the lower distal arm to include the epiphyseal plates in the radius and ulna. The parameters were as follows: tube-detector distance 1 m, x-ray energy 50-kilo volt (kV), and 1–1.5 milliampere seconds (mAs), with no processing or filtering of the images.

BoneXpert standalone version 2.5 (Visiana) was used to analyse the radiographs. The system automatically performs 8–13 independent BA measurements from 8 to 13 different bones in the left hand. The automated determination of BA rules out inter- and intra-observer variation. This BA determination was based on the Greulich Pyle methodology (26).

2.9 Statistical analyses

Descriptive data is shown as mean ± standard deviation (SD) and minimum (min) and maximum (max) values. The normality of data was assessed with the Shapiro-Wilkins test. One-way ANOVA analysis was performed to evaluate differences between the Icelandic and the Norwegian players regarding chronological age (CA), BA, height, weight, and number of weekly organised training sessions and hours. Because previous studies have shown a relationship between BA and physical capacity, and since we found a significant difference in BA between the Norwegian and Icelandic players one-way analysis of covariance (ANCOVA) was performed to compare the physical capacities between the Icelandic and Norwegian players, with BA as a covariate. The least significant difference (LSD) post hoc analyses were performed to compare the Icelandic players with the selected and deselected Norwegian players. Data presented in the Tables are unadjusted. The relationship between variables was assessed using Pearson's correlation coefficient r. An r -value between 0.01 and 0.29 was defined as a small correlation, between 0.30 and 0.49 as a medium correlation, and from 0.05 to 1.0 as a large correlation (27). The Statistical Products of Service Solution package (SPSS, version 29) was used for all statistical analyses, and p-values of ≤0.05 were considered statistically significant.

3 Results

3.1 Descriptive data

Mean CA of the players (n = 151) was 14.0 ± 0.3 years, whereas mean BA was 13.9 ± 1.0 years. When the Norwegian group was divided into the selected and deselected groups, no significant differences were observed between the groups regarding BA, date not shown. Mean body height and weight were 166.8 ± 8.6 cm and 53.8 ± 8.9 kg, respectively. For an overview of the characteristics of the players from Iceland and Norway separately, see Table 1.

Table 1
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Table 1 An overview of characteristics of the Icelandic and Norwegian U14 soccer players. Data are represented as mean ± SD.

The Icelandic and Norwegian players reported that they started with organised soccer training at an age of 5.5 ± 2.1 years and 5.8 ± 1.0 years, respectively. There was no significant difference between players from the two countries regarding when they started to play soccer.

3.2 Physical capacities between players from Iceland and Norway

Significant differences in speed and endurance capacity were seen between the Norwegian and Icelandic players (Table 2). Overall, the analysis showed that players from Norway ran faster, had higher VO2max and ran longer in the IR1 recovery test. There was no significant difference between players from the two countries in SLJ and CMJ. ANCOVA analysis showed that the differences between players from Iceland and Norway were consistent also after adjusting for BA.

Table 2
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Table 2 An overview of the physical capacities and the weekly organised soccer training volume among the Icelandic and Norwegian U14 players. Data are represented as mean ± SD (min–max).

When splitting the Norwegian players into selected players and deselected players, the selected Norwegian players were significantly faster and had higher VO2max than both the deselected Norwegian players and the Icelandic players, with no significant difference between the deselected Norwegian players and the Icelandic players. In the 40-meter test, IR1-test and V˙O2max test, the selected Norwegian players performed significantly better than the deselected Norwegian players and the Icelandic players. In addition, the Icelandic players performed significantly better than the deselected Norwegian players in IR1-test and V˙O2max test. In CMJ, both the selected Norwegian players and the Icelandic players were superior to the deselected Norwegian players, and there were no significant differences between the players in SLJ (Table 3).

Table 3
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Table 3 An overview of the physical capacities and the weekly organised soccer training among the Norwegian and Icelandic players when splitting the Norwegian players in a selected and deselected group. Data are represented as mean ± SD. (min–max).

3.3 Organised soccer training volume between players from Iceland and Norway

In general, there was no significant difference in the number of organised weekly training sessions between players from Iceland and Norway (Table 2). However, when splitting the Norwegian players into selected and deselected players, both the selected Norwegian players and the Icelandic players reported significantly higher number of weekly organised soccer training sessions compared to the deselected Norwegian players (Table 3). Moreover, the Norwegian players reported a significantly higher number of organised weekly training hours than the Icelandic players (Table 2). Analyses also showed that the selected Norwegian players had a significantly higher number of organised weekly training hours than both the Icelandic players and the deselected Norwegian players. However, the Icelandic players reported a significantly higher number of organised weekly training hours compared to the deselected Norwegian players (Table 3).

3.4 Relationships between BA and physical capacities among Icelandic players

Among the Icelandic players, there was a strong correlation between BA and performance on the 40 m linear sprint test (r = −0.566, p < 0.001), and medium correlations between BA and jumping performance (SLJ: r = 0.380, p = 0.008, CMJ: r = 0.354, p = 0.014). On the other hand, no significant correlations were observed between BA and performance on the IR1-test (r = 0.206, p = 0.161) nor the V˙O2max test (r = 0.125, p = 0.369).

4 Discussion

In the present study, associations between BA and physical capacities in Icelandic U14 soccer players were investigated, and the physical capacity level and the volume of weekly organised soccer training between Icelandic and Norwegian youth soccer players were compared. The results showed that the Norwegian players were faster, had higher intermittent endurance capacity and higher V˙O2max than the Icelandic players. Moreover, the Norwegian players reported a significantly higher number of weekly training hours than the Icelandic players, on average. In addition, BA of the Icelandic players was associated with speed and maximal jump performance, but not with intermittent endurance capacity or V˙O2max.

When comparing the U14 players from Iceland and Norway, our findings showed, after adjusting for biological maturity level, that the Norwegian players ran significantly faster than the Icelandic players on the 40 m linear sprint test. Overall, the Norwegian players also had significantly higher VO2max and performed significantly better on the intermittent endurance capacity test compared to the Icelandic players. However, when splitting the Norwegian players into selected and deselected players, only the selected Norwegian players were superior to the Icelandic players when it comes to speed, intermittent endurance capacity and V˙O2max.

Differences in running capacity between the Norwegian selected players and Icelandic players may be caused by different reasons. One possible explanation refers to the different organisation of youth soccer in the two countries. Norwegian soccer academies may provide a more conducive training environment with high-level coaches, skilled teammates, and better training facilities, which can result in increased motivation and improved physical capacities (28). The organisation of youth soccer and talent identification in Norway correspond to general recommendations by FIFA, such as investment in the professionalisation of academies, when it comes to the selection of players (16).

Faster running speed and better physical capacity among the selected Norwegian players may be related to the selection of players per se, i.e., players with outstanding physical capacity are more likely to be selected to academies (19, 29), although previous studies have shown inconsistent and conflicting findings regarding physical fitness and selection to academies. The higher number of organised weekly training hours seen among the selected Norwegian players could also be an explanation. As mentioned before, the selected Norwegian players may also have higher training intensity due to higher competition among players and superior training motivation. Further research and assessments are needed. On the other hand, there was no significant difference between the deselected Norwegian players and the Icelandic players in 40 m linear sprint time and maximal oxygen consumption, despite the significantly higher number of organised training hours among the Icelandic players.

Our results showed a relationship between BA and running speed and jumping performance among the Icelandic players. This is in accordance with previous findings among Norwegian players at the same age (19, 20) and confirms previous findings regarding the effect of biological maturation on speed and explosive leg strength (17, 18, 21, 22). Our findings indicate that biological maturity level affects physical capacity among Icelandic youth soccer players, as has been demonstrated in other countries. Furthermore, there was no relationship between BA and endurance capacity among the Icelandic players. This is also in line with previous findings among Norwegian U14 soccer players (19, 20), and indicates that endurance capacity is not influenced by biological maturity status in highly trained youth soccer players. However, a recent investigation suggests that the positive change in VO2max was paralleled by the increase in fat-free mass. Therefore, an increase in endurance capacity may be more related to body composition development, growth and maturation rather than different intensity or volume of the training (30). This finding indicates that physical training for youth soccer players needs to be investigated further in more detail in the future.

The present study has some limitations that are worth mentioning. The Icelandic measurements were conducted during the end of the COVID-19 pandemic, which presented unexpected obstacles, such as training bans, quarantine and additional limitations when measuring the youth soccer players. During the late COVID-19 period very limited training restrictions occur amount youth soccer players in Iceland. However, this may have affected the players' results in the various measurements and might skew results. It is also worth mentioning that different equipment was used for the 40 m sprint test and the CMJ test in the two countries. In the CMJ test, maximum jump height was calculated based on take-off velocity in Norway, while in Iceland it was derived from flight time. To ensure reliable results, only jumps with correct technique were considered valid (i.e., players were instructed to maintain straight legs in the air for accurate flight time). The portable photogates employed for the 40 m sprint test in Iceland were set up by experienced personnel, and there is no reason to suspect that the variance in running speed was influenced using a portable system in Iceland vs. the wall-mounted system in Norway. A strength of the study was that experienced personnel administered all tests. However, a limitation was the use of different photogate systems for the 40 m sprint test. Moreover, the IR1-test was done on different surfaces in the two countries. In Norway, the test IR1 test was conducted indoors on a wooden sports floor, while the test was conducted indoors on artificial grass in Iceland. It cannot be ruled out that different running surfaces may have had an impact on the test results. However, it is unlikely that the COVID-19 pandemic, the use of different equipment and different running surface alone can explain the difference between the Norwegian and the Icelandic players.

5 Perspective

In this study we compare physical capacity between U14 soccer players from Iceland and Norway. The main results showed that the Norwegian players had exhibited superior endurances capacity and ran faster than the Icelandic players. Furthermore, the Norwegian players reported a higher number of weekly organised soccer training hours than the Icelandic. These results are interesting, because the Fédération Internationale de Football Association (FIFA) highly recommended the soccer clubs to utilise the professional soccer academic during the process of the identification and talent development of the youth soccer players. In Norway, many of the promising young soccer players are selected to the academies at an age of 13, on the other hand, the traditional academies are not established or utilised in Iceland. However, the success of the Iceland men senior soccer team has been remarkable during the last decades, which indicate great potency of the Icelandic system. Furthermore, both Iceland and Norway were qualified for the male European U20 championship in 2023, showing that both nations can reach high international junior levels. Further research is needed to investigate the relationship between development of physical capacity, training load and different organisational structures of both youth and senior soccer players in Scandinavian.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving humans were approved by Both the National Bioethics Committee of Iceland (VSN-19-206) and the Regional Committee for Medical and Health Research Ethics in Norway (2017/1731) approved the study, and the study was conducted in accordance with the Helsinki Declaration. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

SB: Data curation, Investigation, Methodology, Validation, Writing – original draft, Writing – review & editing, Project administration, Software. EJ: Conceptualization, Funding acquisition, Investigation, Project administration, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. CR: Investigation, Methodology, Validation, Writing – original draft, Writing – review & editing. HG: Conceptualization, Data curation, Formal Analysis, Investigation, Methodology, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.

Acknowledgments

We would like to thank all participants both in Iceland and Norway.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Reilly T, Williams AM, Nevill A, Franks A. A multidisciplinary approach to talent identification in soccer. J Sports Sci. (2000) 18(9):695–702. doi: 10.1080/02640410050120078

PubMed Abstract | Crossref Full Text | Google Scholar

2. Ford PR, Bordonau JLD, Bonanno D, Tavares J, Groenendijk C, Fink C, et al. A survey of talent identification and development processes in the youth academies of professional soccer clubs from around the world. J Sports Sci. (2020) 38(11–12):1269–78. doi: 10.1080/02640414.2020.1752440

PubMed Abstract | Crossref Full Text | Google Scholar

3. Green K, Sigurjónsson T, Skille EÅ. Sport in Scandinavia and the Nordic Countries. London: Taylor & Francis (2018).

Google Scholar

4. Halldorsson V. The black swan of elite football: the case of Iceland. Soccer Soc. (2020) 21(7):711–24. doi: 10.1080/14660970.2019.1710491

Crossref Full Text | Google Scholar

5. Barnes C, Archer DT, Hogg B, Bush M, Bradley PS. The evolution of physical and technical performance parameters in the English premier league. Int J Sports Med. (2014) 35(13):1095–100. doi: 10.1055/s-0034-1375695

PubMed Abstract | Crossref Full Text | Google Scholar

6. Bradley PS, Di Mascio M, Peart D, Olsen P, Sheldon B. High-intensity activity profiles of elite soccer players at different performance levels. J Strength Cond Res. (2010) 24(9):2343–51. doi: 10.1519/JSC.0b013e3181aeb1b3

PubMed Abstract | Crossref Full Text | Google Scholar

7. Di Mascio M, Bradley PS. Evaluation of the most intense high-intensity running period in English FA premier league soccer matches. J Strength Cond Res. (2013) 27(4):909–15. doi: 10.1519/JSC.0b013e31825ff099

PubMed Abstract | Crossref Full Text | Google Scholar

8. Faude O, Koch T, Meyer T. Straight sprinting is the most frequent action in goal situations in professional football. J Sports Sci. (2012) 30(7):625–31. doi: 10.1080/02640414.2012.665940

PubMed Abstract | Crossref Full Text | Google Scholar

9. Slimani M, Nikolaidis PT. Anthropometric and physiological characteristics of male soccer players according to their competitive level, playing position and age group: a systematic review. J Sports Med Phys Fitness. (2019) 59(1):141–63. doi: 10.1519/JSC.0b013e318216305d

PubMed Abstract | Crossref Full Text | Google Scholar

10. Vaeyens R, Malina RM, Janssens M, Van Renterghem B, Bourgois J, Vrijens J, et al. A multidisciplinary selection model for youth soccer: the Ghent youth soccer project. Br J Sports Med. (2006) 40(11):928–34. discussion 34. doi: 10.1136/bjsm.2006.029652

PubMed Abstract | Crossref Full Text | Google Scholar

11. Waldron M, Murphy A. A comparison of physical abilities and match performance characteristics among elite and subelite under-14 soccer players. Pediatr Exerc Sci. (2013) 25(3):423–34. doi: 10.1123/pes.25.3.423

PubMed Abstract | Crossref Full Text | Google Scholar

12. Bongiovanni T, Trecroci A, Cavaggioni L, Rossi A, Perri E, Pasta G, et al. Importance of anthropometric features to predict physical performance in elite youth soccer: a machine learning approach. Res Sports Med. (2021) 29(3):213–24. doi: 10.1080/15438627.2020.1809410

PubMed Abstract | Crossref Full Text | Google Scholar

13. Trecroci A, Rossi A, Dos’Santos T, Formenti D, Cavaggioni L, Longo S, et al. Change of direction asymmetry across different age categories in youth soccer. PeerJ. (2020) 8:e9486. doi: 10.7717/peerj.9486

PubMed Abstract | Crossref Full Text | Google Scholar

14. Trecroci A, Milanović Z, Frontini M, Iaia FM, Alberti G. Physical performance comparison between under 15 elite and sub-elite soccer players. J Hum Kinet. (2018) 61(1):209–16. doi: 10.1515/hukin-2017-0126

PubMed Abstract | Crossref Full Text | Google Scholar

15. Coelho ESMJ, Figueiredo AJ, Simões F, Seabra A, Natal A, Vaeyens R, et al. Discrimination of u-14 soccer players by level and position. Int J Sports Med. (2010) 31(11):790–6. doi: 10.1055/s-0030-1263139

PubMed Abstract | Crossref Full Text | Google Scholar

16. FIFA. Increasing global competitiveness—An analysis of the talent development ecosystem. Fédération Internationale de Football Association (2021). Available online at: https://digitalhub.fifa.com/m/7536bd565b7c83a/original/Increasing-global-competitiveness-An-analysis-of-the-talent-development-ecosystem.pdf (Accessed September 01, 2023).

17. Francini L, Rampinini E, Bosio A, Connolly D, Carlomagno D, Castagna C. Association between match activity, endurance levels and maturity in youth football players. Int J Sports Med. (2019) 40(9):576–84. doi: 10.1055/a-0938-5431

PubMed Abstract | Crossref Full Text | Google Scholar

18. Goto H, Morris JG, Nevill ME. Influence of biological maturity on the match performance of 8- to 16-year-old, elite, male, youth soccer players. J Strength Cond Res. (2019) 33(11):3078–84. doi: 10.1519/JSC.0000000000002510

PubMed Abstract | Crossref Full Text | Google Scholar

19. Grendstad H, Nilsen A-K, Rygh CB, Hafstad A, Kristoffersen M, Iversen VV, et al. Physical capacity, not skeletal maturity, distinguishes competitive levels in male Norwegian U14 soccer players. Scand J Med Sci Sports. (2020) 30(2):254–63. doi: 10.1111/sms.13572

PubMed Abstract | Crossref Full Text | Google Scholar

20. Gundersen H, Riiser A, Algroy E, Vestbostad M, Saeterbakken AH, Clemm HH, et al. Associations between biological maturity level, match locomotion, and physical capacities in youth male soccer players. Scand J Med Sci Sports. (2022) 32(11):1592–601. doi: 10.1111/sms.14225

PubMed Abstract | Crossref Full Text | Google Scholar

21. Itoh R, Hirose N. Relationship among biological maturation, physical characteristics, and motor abilities in youth elite soccer players. J Strength Cond Res. (2020) 34(2):382–8. doi: 10.1519/JSC.0000000000003346

PubMed Abstract | Crossref Full Text | Google Scholar

22. Malina RM, Eisenmann JC, Cumming SP, Ribeiro B, Aroso J. Maturity-associated variation in the growth and functional capacities of youth football (soccer) players 13–15 years. Eur J Appl Physiol. (2004) 91(5–6):555–62. doi: 10.1007/s00421-003-0995-z

PubMed Abstract | Crossref Full Text | Google Scholar

23. Algroy E, Grendstad H, Riiser A, Nybakken T, Saeterbakken AH, Andersen V, et al. Motion analysis of match play in U14 male soccer players and the influence of position, competitive level and contextual variables. Int J Environ Res Public Health. (2021) 18(14):1–9. doi: 10.3390/ijerph18147287

Crossref Full Text | Google Scholar

24. Haugen T, Buchheit M. Sprint running performance monitoring: methodological and practical considerations. Sports Med. (2016) 46(5):641–56. doi: 10.1007/s40279-015-0446-0

PubMed Abstract | Crossref Full Text | Google Scholar

25. Krustrup P, Mohr M, Amstrup T, Rysgaard T, Johansen J, Steensberg A, et al. The yo-yo intermittent recovery test: physiological response, reliability, and validity. Med Sci Sports Exerc. (2003) 35(4):697–705. doi: 10.1249/01.MSS.0000058441.94520.32

PubMed Abstract | Crossref Full Text | Google Scholar

26. Thodberg HH, Kreiborg S, Juul A, Pedersen KD. The BoneXpert method for automated determination of skeletal maturity. IEEE Trans Med Imaging. (2008) 28(1):52–66. doi: 10.1109/TMI.2008.926067

Crossref Full Text | Google Scholar

27. Cohen J. Set correlation and contingency tables. Appl Psychol Meas. (1988) 12(4):425–34. doi: 10.1177/014662168801200410

Crossref Full Text | Google Scholar

28. Gangsø K, Aspvik NP, Mehus I, Høigaard R, Sæther SA. Talent development environments in football: comparing the top-five and bottom-five-ranked football academies in Norway. Int J Environ Res Public Health. (2021) 18(3):1–7. doi: 10.3390/ijerph18031321

Crossref Full Text | Google Scholar

29. Deprez DN, Fransen J, Lenoir M, Philippaerts RM, Vaeyens R. A retrospective study on anthropometrical, physical fitness, and motor coordination characteristics that influence dropout, contract status, and first-team playing time in high-level soccer players aged eight to eighteen years. J Strength Cond Res. (2015) 29(6):1692–704. doi: 10.1519/JSC.0000000000000806

PubMed Abstract | Crossref Full Text | Google Scholar

30. Grendstad H, Hallén J. Effects of adding high-intensity training during an 8-week period on maximal oxygen uptake in 12-year-old youth athletes. Scand J Med Sci Sports. (2024) 34(1):1–10. doi: 10.1111/sms.14489

Crossref Full Text | Google Scholar

Keywords: youth athletes, Iceland, Norway, physical performance, biological maturity, selected and deselected players

Citation: Benediktsson S, Johannsson E, Rygh CB and Gundersen H (2024) Norwegian male U14 soccer players have superior running capacity compared to Icelandic players. Front. Sports Act. Living 6:1407842. doi: 10.3389/fspor.2024.1407842

Received: 27 March 2024; Accepted: 11 June 2024;
Published: 1 July 2024.

Edited by:

Chiara Zoppirolli, University of Verona, Italy

Reviewed by:

Thiago Teixeira Mendes, Federal University of Bahia (UFBA), Brazil
Athos Trecroci, University of Milan, Italy

© 2024 Benediktsson, Johannsson, Rygh and Gundersen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Erlingur Johannsson, erljo@hi.is

ORCID:
Erlingur Johannsson
orcid.org/0000-0002-8028-7851
Cecilie Brekke Rygh
orcid.org/0009-0002-9589-845X
Hilde Gundersen
orcid.org/0000-0001-6609-1257

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