Influence of oxygen uptake kinetics on physical performance in youth soccer

Doncaster, Greg; Marwood, Simon; Iga, John; Unnithan, Viswanath B.

doi:10.1007/s00421-016-3431-x

Cited by 19 publications

(23 citation statements)

References 49 publications

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“…The methodological quality scores attributed to the included studies can be found in Table 2. Scores for the articles ranged from a minimum of 44% [66] to the maximal possible score (100%) (two studies [20,47]). We identified a mean ± standard deviation quality score for the 50 selected articles of 79 ± 13%.…”

Section: Methodological Qualitymentioning

confidence: 99%

“…We identified a mean ± standard deviation quality score for the 50 selected articles of 79 ± 13%. Several papers (N = 20), accounting for 40% of the total literature, were classified as 80-90% [13, 14, 16, 17, 19, 24, 26, 29, 30, 33, 38, 41, 42, 48, 49, 52-54, 57, 60]; in addition, six papers (12%) received very high ratings of between 90 and 100% [15,18,20,46,47,51]. A total of 72% of the papers (N = 36 publications [12-20, 24, 26, 28-30, 32, 33, 38, 40-43, 46-49, 51-54, 56-58, 60-63]) reached an appropriate quality score, being classified as > 75% [34], and this was not the case for the remaining articles (28%; N = 14 publications [23,27,31,37,39,44,45,50,55,59,[64][65][66][67]).…”

Section: Methodological Qualitymentioning

confidence: 99%

“…The mean age for the youngest group identified was 7.9 years [20], and the oldest group included 20-year-old players [57]. The majority of evaluations were from the European continent (62% of the total): England (14%) [13,15,19,26,33,44,47], Italy (10%) [20,24,37,57,66], Denmark [38,54,67], Portugal [43,62,65], Poland [23,55,64], Spain [56,61], San Marino [39,40], Norway [31,59], Turkey [29], Croatia [50] and Austria [49]. Other investigations were conducted in Asia, particularly in Qatar (18%) [12, 14, 17, 18, 41, 42, [35], Castellano et al [36], with permission Strict rules applied to Q2 (no information = 0 point; only age/age group was informed = 1 point; maturity offset also measured = 2 points); Q3 (0-1 item described = 0 point; 2-3 items described = 1 point; 4-5 items described = 2 points); and Q8 (description of mean, standard deviation and null hypothesis significance test [p-value] = 1 point; also included effect size/magnitude-based inferences = 2 points)…”

Section: Methodological Qualitymentioning

confidence: 99%

“…Further studies also examined the influence of biological maturity [38,51,60], playing standards [33,38,48,54] and retained versus released players [15,19,26] and compared match running performances between game formats [37,54,61] and between specific training regimens [63]. Approximately one-third of all the studies evaluated relationships between the variables of match running performance and (1) anthropometric measures (e.g., height, body weight, and skinfolds) [50,60], (2) physiological markers [45,57] [71]) [14,17,18,20,28,29,39,40,43,46,47,65]. Researchers also investigated the effects of match congestion [49,51,52], moderate [53] and high altitude [30,58], specific pitch surface [62] and opponent quality [48] on running performance.…”

Section: Study Objectivesmentioning

confidence: 99%

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Match Running Performance in Young Soccer Players: A Systematic Review

et al. 2019

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Background To date, athletic performance has been extensively assessed in youth soccer players through laboratory and field testing. Only recently has running performance via time-motion analysis been assessed during match play. Match running data are often useful in a practical context to aid game understanding and decision making regarding training content and prescriptions. A plethora of previous reviews have collated and appraised the literature on time-motion analysis in professional senior players, but none have solely examined youth players. Objective The aim of the present systematic review was to provide a critical appraisal and summary of the original research articles that have evaluated match running performance in young male soccer players. Methods Following the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) statement, literature searches were performed in four databases: PubMed, ISI Web of Science, SPORTDiscus and SciELO. We used the following descriptors: soccer, football, young, youth, junior, physical performance, running performance, match running performance, movement patterns, time-motion analysis, distances covered, activity profile, work rate, match analysis, and match performance. Articles were included only if they were original articles written in the English language, studied populations of male children and/or adolescents (aged ≤ 20 years), were published/ahead of print on or before 31 December 2017 and showed at least one outcome measure regarding match running performance, such as total distance covered, peak game speed or indicators of activities performed at established speed thresholds. Results A total of 5801 records were found. After duplicates were removed and exclusion and inclusion criteria applied, 50 articles were included (n = 2615 participants). Their outcome measures were extracted and findings were synthesized. The majority of the reviewed papers covered the European continent (62%) and used global positioning systems (GPS) (64%). Measurement error of the tools used to obtain position data and running metrics was systematically overlooked among the studies. The main aims of studies were to examine differences across playing positions (20%), age groups (26%) and match halves (36%). Consistent findings pointed to the existence of positional role and age effects on match running output (using fixed running speed thresholds), but there was no clear consensus about reductions in activity over the course of match play. Congested schedules negatively affected players' running performance. While over 32% of all studies assessed the relationships between match running performance and physical capacity, biochemical markers and body composition, ~ 70% of these did not account for playing position. Conclusions This review collated scientific evidence that can aid soccer conditioning professionals in understanding external match loads across youth categories. Coaches working with youth development programs should consider that data derived from a given po...

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Section: Methodological Qualitymentioning

confidence: 99%

Section: Methodological Qualitymentioning

confidence: 99%

Section: Methodological Qualitymentioning

confidence: 99%

Section: Study Objectivesmentioning

confidence: 99%

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Match Running Performance in Young Soccer Players: A Systematic Review

et al. 2019

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“…In contrast to this notion and the earlier studies, more recent, methodologically rigorous, studies report a significant influence of training status on the V  O2 kinetics of both prepubertal children (80,112) and pubertal adolescents (78,81,104), although these differences were still restricted to the temporal parameters with no influence of the magnitude of the V  O2 slow component. Perhaps surprisingly given the relevance to training guidelines and performance (33), no studies have directly addressed the question of sex differences in the response of V  O2 kinetics to training. Inter-study comparisons suggest that sex is unlikely to mediate the V  O2 kinetic response to training, in agreement with reports of similar relative training induced adaptations in peak V  O2 irrespective of sex (4), although it is pertinent to note that the mechanistic basis for such training adaptations may be sex-dependent, especially following the onset of puberty.…”

Section: Influence Of Training On Pulmonary V  O2 Kineticsmentioning

confidence: 99%

Oxygen Uptake Kinetics in Youth: Characteristics, Interpretation, and Application

McNarry

2019

Pediatric Exercise Science

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Pulmonary oxygen uptake (V  O2) kinetics, which describe the aerobic response to near instantaneous changes in metabolic demand, provide a valuable insight into the control and coordination of oxidative phosphorylation during exercise. Despite their applicability to the highly sporadic habitual physical activity and exercise patterns of children, relatively little is known regarding the influence of internal and external stimuli on the dynamic V  O2 response. Whilst insufficient evidence is available during moderate intensity exercise, an age-related slowing of the phase II time constant (τ) and augmentation of the V  O2 slow component appears to be manifest during heavy intensity exercise, which may be related to changes in the muscle phosphate controllers of oxidative phosphorylation, muscle oxygen delivery and utilisation and/or muscle fibre type recruitment patterns. Similar to findings in adults, aerobic training is associated with a faster phase II τ and smaller V  O2 slow component in youth, independent of age or maturity, indicative of an enhanced oxidative metabolism. However, a lack of longitudinal or intervention-based training studies limit our ability to attribute these changes to training per se. Further, methodologically rigorous studies are required to fully resolve the interaction(s) between age, sex, biological maturity and external stimuli, such as exercise training and exercise intensity, and the dynamic V  O2 response at the onset and offset of exercise.

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