Is training age predictive of physiological performance changes in developmental rugby league players? A prospective longitudinal study

Booth, Mark A.; Cobley, Stephen; Halaki, Mark; Orr, Rhonda

doi:10.1177/1747954120919909

Cited by 6 publications

(7 citation statements)

References 34 publications

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“…Six articles also reported a range of participant observations of three or more [ 34 , 36 , 47 , 51 , 65 , 67 ]. The remaining articles either confirmed that all participants were observed at all time points [ 13 , 28 , 30 , 33 , 35 , 46 , 56 , 58 , 59 , 64 , 66 ], or the number of participant observations was not stated [ 29 , 31 , 32 , 37 , 42 , 48 , 49 , 57 ].…”

Section: Resultsmentioning

confidence: 99%

“…Other reasons included within and between season differences, comparison of sub-groups over time [ 39 ], non-normal data [ 30 ] and longitudinal design [ 28 ]. Methods for supporting the justification included referencing a journal article ( n = 14; 35%) [ 29 , 31 – 34 , 42 , 46 , 47 , 51 , 52 , 61 – 63 , 65 ], the MLwiN software ( n = 5; 13%) [ 36 , 38 , 44 , 45 , 63 ], books ( n = 2) [ 28 , 54 ] and Hopkins website ( n = 1) [ 65 ].…”

Section: Resultsmentioning

confidence: 99%

“…This is a consequence of the specific research questions, rather than limitations of the analysis methods used. For example, Booth et al [ 31 ] used multilevel models to identify the influence of different training ages by including each type of training age individually within their own model. As such Booth et al [ 31 ] were able to identify the magnitude of change over time (regression slope) for each individual training age type but may have missed potential inter-relation effects between them.…”

Section: Discussionmentioning

confidence: 99%

“…For example, Carvalho et al [ 32 ] found both quadratic and cubic terms for age significant (p ≤ 0.01) in height and Yo-Yo intermittent recovery test level 1 models suggesting a non-linear relationship between time and physical qualities was present. Non-linear terms were not included within all articles making use of multilevel models [ 31 , 33 , 37 , 54 ], while others included the assessment of non-linear terms in the methods although they failed to reach significance (e.g. Valente Dos Santos et al [ 61 , 63 ] and skeletal age).…”

Section: Discussionmentioning

confidence: 99%

“…Consequently, the development of physical qualities was only assessed as a result of time (age grade or timepoint). However it is also apparent that a single independent variable was used where a multivariable analysis could be applied, with multilevel [ 28 , 31 ] and segmented linear modelling [ 42 ]. This is a consequence of the specific research questions, rather than limitations of the analysis methods used.…”

Section: Discussionmentioning

confidence: 99%

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Statistical analysis considerations within longitudinal studies of physical qualities in youth athletes: A qualitative systematic methodological review

Owen

Till²,

Darrall-Jones³

et al. 2022

PLoS ONE

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Background The evaluation of physical qualities in talent identification and development systems is vital and commonplace in supporting youth athletes towards elite sport. However, the complex and dynamic development of physical qualities in addition to temporal challenges associated with the research design, such as unstructured data collection and missing data, requires appropriate statistical methods to be applied in research to optimise the understanding and knowledge of long-term physical development. Aim To collate and evaluate the application of methodological and statistical methods used in studies investigating the development of physical qualities within youth athletes. Methods Electronic databases were systematically searched form the earliest record to June 2021 and reference lists were hand searched in accordance with the PRISMA guidelines. Studies were included if they tested physical qualities over a minimum of 3 timepoints, were observational in nature and used youth sporting populations. Results Forty articles met the inclusion criteria. The statistical analysis methods applied were qualitatively assessed against the theoretical underpinnings (i.e. multidimensional development, non-linear change and between and within athlete change) and temporal challenges (i.e. time variant and invariant variables, missing data, treatment of time and repeated measures) encountered with longitudinal physical testing research. Multilevel models were implemented most frequently (50%) and the most appropriately used statistical analysis method when qualitatively compared against the longitudinal challenges. Independent groups ANOVA, MANOVA and X2 were also used, yet failed to address any of the challenges posed within longitudinal physical testing research. Conclusions This methodological review identified the statistical methods currently employed within longitudinal physical testing research and addressed the theoretical and temporal challenges faced in longitudinal physical testing research with varying success. The findings can be used to support the selection of statistical methods when evaluating the development of youth athletes through the consideration of the challenges presented.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 3 more Smart Citations

Statistical analysis considerations within longitudinal studies of physical qualities in youth athletes: A qualitative systematic methodological review

Owen

Till²,

Darrall-Jones³

et al. 2022

PLoS ONE

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The Strength and Power Profile of Junior and Senior Female Rugby League Athletes

Flannery,

Secomb,

West

et al. 2024

Journal of Strength &Amp; Conditioning Research

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Flannery, L, Secomb, JL, West, MA, Compton, HR, and Dascombe, BJ. The strength and power profile of junior and senior female rugby league athletes. J Strength Cond Res XX(X): 000–000, 2024—The purpose of this study was to compare the lower-body strength and power profiles of the various female rugby league (RL) competition levels, thereby establishing normative data for these athletes. Seventy-nine female RL athletes from 3 different competition levels: junior-state (n = 45, age: 17.5 ± 0.6 years), senior-state (n = 15, age: 24.3 ± 3.7 years), and senior-national (n = 19, age: 25.4 ± 4.0 years) participated in this study. All testing was completed in a single session at the beginning of preseason, with the following assessments performed: countermovement jump (CMJ), isometric mid-thigh pull (IMTP), and bilateral and unilateral isometric hip adduction and abduction strength. One-way analyses of variance with Bonferroni post hoc analyses, revealed that junior-state athletes exhibited significantly lower IMTP peak force (PF) and relative PF (rPF), and CMJ height compared with the senior-state and senior-national athletes. Importantly, senior-national athletes demonstrated significantly greater body mass (80.9 ± 14.6 kg) than senior-state athletes (70.9 ± 8.1 kg), but no significant differences were identified between these athletes for any IMTP or CMJ measure. Finally, the senior-national athletes possessed significantly lower unilateral hip adduction rPF (0.13 ± 0.04 N·BW−1) and adduction to abduction strength ratio (0.92 ± 0.14) than senior-state athletes (0.17 ± 0.03 N·BW−1 and 1.04 ± 0.13, respectively), which may have implications for noncontact lower-body injury risk. This study highlights the importance of practitioners prescribing training to increase the lower-body strength and power of junior-state RL athletes. Whereas, for senior-state athletes progressing to senior-national levels, the focus should on maintaining or improving relative strength and power, while increasing their body mass to enhance preparedness for the greater contact demands at that level.

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Stimulating Aerobic Energy Supply Reactions of Athletes in Rugby Union

Kvasnytsya,

Tyshchenko,

Hlukhov

et al. 2024

Teor. metod. fiz. vihov.

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Objectives. The study purpose was to evaluate the effectiveness of an experimental program of training means aimed at stimulating reactions of aerobic energy supply of athletes who are part of Ukraine national rugby union team. Material and methods. The athletes of the Ukrainian national rugby union team were divided into two homogeneous groups (experimental and control) consisting of 15 individuals. The experimental group underwent a specialized program aimed at developing aerobic energy supply, whereas the control group followed a standard training program. The object of study focused on the training process of Ukraine national rugby union team. Results. The results of testing rugby players in the experimental group demonstrated reliable changes in reactions of aerobic energy supply under the influence of a program of special training sessions. The most significant alterations were noted in the indicators of kinetics and stability of reactions. The indicators of O2 consumption and pulmonary ventilation in the intensity zone of anaerobic metabolism threshold increased significantly. There was a tendency to increase indicators characterizing the power of the respiratory response (max VE), in particular under conditions of growing fatigue (% excess VE). However, there were no significant changes in indicators of aerobic capacities components in the athletes’ control group. Conclusions. We believe that the mentioned indicators mostly reflect specialized manifestations of rugby players’ aerobic capacities and impact the increase of athletes’ special functional capabilities. This has been confirmed by the results of the analysis of urgent adaptive responses registered in model conditions of competition activity. As a result of the implementation of the specified experimental programme during the preparation process, the Ukrainian national team achieved 2nd place at the European Rugby Union Championship in the Trophy division of the 2022-2023 season.

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Is training age predictive of physiological performance changes in developmental rugby league players? A prospective longitudinal study

Cited by 6 publications

References 34 publications

Statistical analysis considerations within longitudinal studies of physical qualities in youth athletes: A qualitative systematic methodological review

Statistical analysis considerations within longitudinal studies of physical qualities in youth athletes: A qualitative systematic methodological review

The Strength and Power Profile of Junior and Senior Female Rugby League Athletes

Stimulating Aerobic Energy Supply Reactions of Athletes in Rugby Union

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