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Lolli L, Bonanno D, Lopez E, Di Salvo V. Night-to-night variability of objective sleep outcomes in youth Middle Eastern football players. Sleep Med 2024; 117:193-200. [PMID: 38564918 DOI: 10.1016/j.sleep.2024.03.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 02/19/2024] [Accepted: 03/16/2024] [Indexed: 04/04/2024]
Abstract
OBJECTIVE To describe components of night-to-night variation in objective measures of sleep. METHODS We conducted a secondary data analysis of consecutive and chronologically ordered actigraphy-based measurements for time in bed (min), time asleep (min), and wake-after-sleep onset (min). This investigation examined 575 individual night-based measures available for a sub-sample of fifty-two, male youth Middle Eastern football players tracked over a 14-day surveillance period (chronological age range: 12.1 to 16 years). Distinct multivariable-adjusted generalized additive models included each objective sleep outcome measure as dependent variable and disaggregated components of variation for night measurement-by-sleep period interaction, week part (weekday or weekend), and study participant random effects from within-subject night-to-night sleep variation. RESULTS The within-subject standard deviation (SD) of ±98 min (95% confidence interval [CI], 92 to 104 min) for time in bed, ±87 min (95%CI, 82 to 93 min) for time asleep, and ±23 min (95%CI, 22 to 25 min) for wake-after-sleep-onset overwhelmed other sources of variability and accounted for ∼44% to 53% of the overall night-to-night variation. The night measurement-by-fragmented sleep period interaction SD was ±83 min (95%CI, 44 to 156 min) for time in bed, ±67 min (95%CI, 34 to 131 min) for time asleep, and ±15 min (95%CI, 7 to 32 min) for wake-after-sleep-onset that accounted for ∼22% to 32% of each sleep outcome measure overall variability. CONCLUSIONS Substantial random night-to-night within-subject variability poses additional challenges for strategies aiming to mitigate problems of insufficient and inconsistent sleep that are detrimental to school learning and youth athlete development processes.
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Affiliation(s)
- Lorenzo Lolli
- Aspire Academy, Football Performance & Science Department, Doha, Qatar; Department of Sport and Exercise Sciences, Institute of Sport, Manchester Metropolitan University, Manchester, UK.
| | - Daniele Bonanno
- Aspire Academy, Football Performance & Science Department, Doha, Qatar
| | - Emmanuel Lopez
- Aspire Academy, Football Performance & Science Department, Doha, Qatar
| | - Valter Di Salvo
- Aspire Academy, Football Performance & Science Department, Doha, Qatar; Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy
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2
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Grainger A, Comfort P, Twist C, Heffernan SM, Tarantino G. Real-World Fatigue Testing in Professional Rugby Union: A Systematic Review and Meta-analysis. Sports Med 2024; 54:855-874. [PMID: 38114782 DOI: 10.1007/s40279-023-01973-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/12/2023] [Indexed: 12/21/2023]
Abstract
BACKGROUND Professional rugby union is a high-intensity contact sport with position-specific high training and match volumes across a season that may lead to periods of fatigue if above a typically experienced threshold. This study assesses the influence of match play and/or training on fatigue levels in rugby union players. OBJECTIVE We aimed to perform a systematic review and meta-analysis of measures used to assess fatigue status in male professional rugby union players. METHODS Using electronic databases (PubMed, SPORTDiscus, Web of Science, Cochrane Library, EMBASE, and MEDLINE), a systematic review of fatigue testing in rugby union was conducted on (1) neuromuscular, (2) subjective self-report, (3) biochemical, and (4) heart rate-derived measures. RESULTS Thirty-seven articles were included in this systematic review, of which 14 were further included in a meta-analysis. The results of the meta-analysis revealed small, yet not significant, decreases in countermovement jump height immediately after (effect size [ES] = - 0.29; 95% confidence interval [CI] - 0.64 to 0.06), 24 h (ES = - 0.43; 95% CI - 3.99 to 3.21), and 48 h (ES = - 0.22; 95% CI - 0.47 to 0.02) after exposure to rugby union match play or training. Reported wellness (ES = - 0.33; 95% CI - 1.70 to 1.04) and tiredness (ES = - 0.14; 95% CI - 1.30 to 1.03) declined over a period of a few weeks (however, the results were not-statistically significant), meanwhile muscle soreness increased (ES = 0.91; 95% CI 0.06 to 1.75) within the 96 h after the exposure to rugby union match play or training. Finally, while cortisol levels (ES = 1.87; 95% CI - 1.54 to 5.29) increased, testosterone declined (ES = - 1.54; 95% CI - 7.16 to 4.08) within the 24 h after the exposure. However, these results were not statistically significant. CONCLUSIONS Subjective measures of muscle soreness can be used to assess fatigue after match play and training in rugby union players. Within-study and between-study variability for countermovement jump height, biochemical markers, and heart rate-derived measures means the utility (practical application) of these measures to assess fatigue in professional rugby union players after matches and training is unclear. CLINICAL TRIAL REGISTRATION PROSPERO ID: CRD42020216706.
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Affiliation(s)
- Adam Grainger
- Kitman Labs, Dublin, Ireland.
- Institute of Sport and Health, University College Dublin, Dublin, Ireland.
| | - Paul Comfort
- University of Salford, Salford, Greater Manchester, UK
- Edith Cowan University, Joondalup, WA, Australia
| | - Craig Twist
- Research Institute of Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
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Scott D, Bruinvels G, Norris D, Lovell R. The Dose-Response in Elite Soccer: Preliminary Insights From Menstrual-Cycle Tracking During the FIFA Women's World Cup 2019. Int J Sports Physiol Perform 2024; 19:331-339. [PMID: 38198788 DOI: 10.1123/ijspp.2022-0282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 10/27/2023] [Accepted: 11/26/2023] [Indexed: 01/12/2024]
Abstract
PURPOSE This preliminary study examined the influence of estimated menstrual-cycle (MC) phase on responses to soccer matches and training sessions in preparation for and during the FIFA (Fédération internationale de football association) Women's World Cup 2019. METHODS Twenty outfield players representing a national team were tracked over a 45-day period. External (10-Hz global positioning system; total and distance covered at high-metabolic power [≥20 W·kg-1]) and internal load measures (minutes ≥80% heart-rate maximum, sessional ratings of perceived exertion) were collected during all training and matches, with single-item wellness measures (fatigue, soreness, sleep quality, and sleep duration) collected each morning prior to activity. MC phase was estimated individually via an algorithm, informed from pretournament survey responses and ongoing symptom reporting (FitrWoman). Model comparison statistics were used to determine the impact of estimated MC phase in nonhormonal contraceptive users (n = 16). RESULTS Sessional rating of perceived exertion responses to total distances ≥5 km were higher during the luteal phase (+0.6-1.0 au; P ≤ .0178) versus menstruation (phase 1), but no other observable dose-response trends were observed. Sleep, fatigue, and soreness ratings were not typically associated with MC phase, with the exception of exacerbated fatigue ratings in luteal versus follicular phase 48 hours postmatch (-0.73 au, P = .0275). CONCLUSIONS Preliminary findings suggest that estimated MC phase may contribute to the understanding of the dose-response to soccer training and matches.
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Affiliation(s)
- Dawn Scott
- Performance, Medical & Innovation Department, Washington Spirit Soccer Club, Washington, DC, USA
- School of Health Sciences, Western Sydney University, Penrith, Australia
| | - Georgie Bruinvels
- Orreco Ltd, Galway, Ireland
- University College London, London, United Kingdom
- St Mary's University, London, United Kingdom
| | - Dean Norris
- School of Health Sciences, Western Sydney University, Penrith, Australia
| | - Ric Lovell
- School of Health Sciences, Western Sydney University, Penrith, Australia
- School of Medical, Indigenous and Health Sciences, University of Wollongong, Wollongong, Australia
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4
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Neupert E, Holder T, Gupta L, Jobson SA. More than metrics: The role of socio-environmental factors in determining the success of athlete monitoring. J Sports Sci 2024; 42:323-332. [PMID: 38493350 DOI: 10.1080/02640414.2024.2330178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 03/04/2024] [Indexed: 03/18/2024]
Abstract
The perceived value of athlete monitoring systems (AMS) has recently been questioned. Poor perceptions of AMS are important, because where practitioners lack confidence in monitoring their ability to influence programming, and performance is likely diminished. To address this, researchers have primarily sought to improve factors related to monitoring metrics, e.g., validity rather than socio-environmental factors, e.g., buy-in. Seventy-five practitioners (response rate: n = 30) working with Olympic and Paralympic athletes were invited to take part in a survey about their perceptions of AMS value. Fifty-two per cent (n = 13) was confident in the sensitivity of their athlete self-report measures, but only 64% (n = 16), indicated their monitoring was underpinned by scientific evidence. A scientific base was associated with improved athlete feedback (rS (23) = 0.487, p =0.014*) and feedback correlated with athlete monitoring adherence (rS (22) = 0.675, p = <0.001**). If athletes did not complete their monitoring, 52% (n = 13) of respondents felt performance might be compromised. However, most respondents 56% (n = 14), had worked with internationally successful athlete(s) who did not complete their monitoring. While AMS can be a useful tool to aid performance optimisation, its potential value is not always realised. Addressing socio-environmental factors alongside metric-factors may improve AMS efficacy.
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Affiliation(s)
- Emma Neupert
- School of Sport, Health and Exercise Science, University of Portsmouth, Portsmouth, UK
- School of Sport, Health and Community, University of Winchester, Winchester, UK
| | - Tim Holder
- School of Sport, Health and Community, University of Winchester, Winchester, UK
| | - Luke Gupta
- UK Sports Institute, Bisham Abbey, Marlow, UK
| | - Simon A Jobson
- Faculty of Health and Wellbeing, University of Winchester, Winchester, UK
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Kamarauskas P, Scanlan AT, Ferioli D, Conte D. Weekly Fluctuations in, and Associations Between, Salivary Hormone Responses, Load, and Well-Being During the Pre-season in Professional Male Basketball Players. J Strength Cond Res 2024; 38:128-135. [PMID: 38085623 DOI: 10.1519/jsc.0000000000004589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
ABSTRACT Kamarauskas, P, Scanlan, A, Ferioli, D, and Conte, D. Weekly fluctuations in, and associations between, salivary hormone responses, load, and well-being during the pre-season in professional male basketball players. J Strength Cond Res 38(1): 128-135, 2024-This study aimed to (a) quantify weekly fluctuations in hormonal responses (testosterone [T], cortisol [C], and their ratio [T:C]), external (PlayerLoad [PL] and PL·minute-1) and internal (session rating of perceived exertion load [sRPE-load], summated heart rate zones [SHRZs], and percentage of maximal heart rate [%HRmax]) load measures, and well-being measured using a self-reported questionnaire and (b) determine the associations between weekly changes in hormonal responses and load measures with weekly changes in well-being during the pre-season phase in basketball players. Twenty-one professional male basketball players (age: 26.2 ± 4.9 years) were monitored during a 5-week pre-season phase. Linear mixed models were used to determine weekly differences in each variable and associations between weekly changes in hormonal and load variables with weekly changes in well-being. Findings revealed that T (p < 0.001) and T:C (p = 0.002) increased toward the end of the pre-season phase. Moreover, higher (p < 0.05) external (PL·minute-1) and internal (%HRmax) load intensities were evident during the first 3 weeks of the pre-season, with no significant fluctuations in other load variables. Weekly changes in PL and sRPE-load were negatively associated (p < 0.05) with weekly changes in well-being, albeit weak in magnitudes (R2 = 0.061-0.105). These results highlight that a periodized approach was undertaken across the pre-season predominantly predicated on altering weekly load intensities, which coincided with positive hormonal responses toward the end of the pre-season. In addition, weak relationships were evident between weekly changes in hormonal responses and load measures with well-being, emphasizing that a low commonality may be present between these constructs.
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Affiliation(s)
- Paulius Kamarauskas
- Institute of Sport Science and Innovations, Lithuanian Sports University, Kaunas, Lithuania
| | - Aaron T Scanlan
- School of Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, QLD, Australia; and
| | | | - Daniele Conte
- Institute of Sport Science and Innovations, Lithuanian Sports University, Kaunas, Lithuania
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Brauers JJ, Den Hartigh RJR, Jakowski S, Kellmann M, Wylleman P, Lemmink KAPM, Brink MS. Monitoring the recovery-stress states of athletes: Psychometric properties of the acute recovery and stress scale and short recovery stress scale among Dutch and Flemish athletes. J Sports Sci 2024; 42:189-199. [PMID: 38451830 DOI: 10.1080/02640414.2024.2325783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 02/23/2024] [Indexed: 03/09/2024]
Abstract
The Acute Recovery and Stress Scale (ARSS) and the Short Recovery and Stress Scale (SRSS) are recently-introduced instruments to monitor recovery and stress processes in athletes. In this study, our aims were to replicate and extend previous psychometric assessments of the instruments, by incorporating recovery and stress dimensions into one model. Therefore, we conducted five confirmatory factor analyses (CFA) and determined structural validity, internal consistency, and construct validity. Dutch and Flemish athletes (N = 385, 213 females, 170 males, 2 others, 21.03 ± 5.44 years) completed the translated ARSS and SRSS, the Recovery Stress Questionnaire for Athletes (RESTQ-Sport-76), the Rating of Perceived Exertion (RPE) and the Total Quality of Recovery (TQR). There was a good model fit for the replicated CFA, sub-optimal model fit for the models that incorporated recovery and stress into one model, and satisfactory internal consistency (α=.75 - .87). The correlations within and between the ARSS and SRSS, as well as between the ARSS/SRSS and the RESTQ-Sport-76 (r = .31 - -.77 for the ARSS, r = .28 - -.63 for the SRSS), the RPE (r = .19 - -.23), and the TQR (r = .63 - -.63) also supported construct validity. The combined findings support the use of the ARSS and SRSS to assess stress and recovery in sports-related research and practice.
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Affiliation(s)
- Jur J Brauers
- Center for Human Movement Sciences, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | | | - Sarah Jakowski
- Faculty of Sport Science, Ruhr University Bochum, Bochum, Germany
| | - Michael Kellmann
- Faculty of Sport Science, Ruhr University Bochum, Bochum, Germany
- School of Human Movement and Nutrition Sciences, University of Queensland, Brisbane, Australia
| | - Paul Wylleman
- Faculty of Physical Education and Physiotherapy, Vrije Universiteit Brussel, Brussels, Belgium
- Faculty of Psychology and Educational Sciences, Vrije Universiteit Brussel, Brussels, Belgium
| | - Koen A P M Lemmink
- Center for Human Movement Sciences, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Michel S Brink
- Center for Human Movement Sciences, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
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7
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Sansone P, Rago V, Kellmann M, Alcaraz PE. Relationship Between Athlete-Reported Outcome Measures and Subsequent Match Performance in Team Sports: A Systematic Review. J Strength Cond Res 2023; 37:2302-2313. [PMID: 37883405 DOI: 10.1519/jsc.0000000000004605] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
ABSTRACT Sansone, P, Rago, V, Kellmann, M, and Alcaraz, PE. Relationship between athlete-reported outcome measures and subsequent match performance in team sports: A systematic review. J Strength Cond Res 37(11): 2302-2313, 2023-Athlete-reported outcome measures (AROMs; e.g., fatigue, stress, readiness, recovery, and sleep quality) are commonly implemented in team sports to monitor the athlete status. However, the relationship between AROMs and match performance indicators is unclear and warrants further investigation. This systematic review examined the relationship between precompetitive AROMs and subsequent match performances of team sport athletes. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, 3 (PubMed, Scopus, and Web of Science) databases were systematically searched to retrieve studies investigating the effects or association of AROMs and match: (a) technical-tactical performance (match-related statistics), (b) physical performance, (c) physiological and (d) perceptual demands, and (e) other measures of performance in adult team sport athletes. Quality assessment of included studies was performed using a modified Black and Downs checklist. Fifteen articles representing 289 team sport athletes were included. Mean quality of included studies was 7.6 ± 1.0 (of 11). Across the included studies, 22 AROMs parameters were used, and 16 different statistical approaches were identified. Approximately 11 of 15 studies used nonvalidated AROMs. Overall, associations or effects of AROMs were found consistently for match-related statistics (7/9 studies), whereas results were unclear for physical performances (3/7 studies), perceptual demands (1/2 studies), or other measures of performance (2/4 studies). Considering the importance of key match-related statistics for success in team sports, this review suggests that monitoring precompetitive AROMs has potential to provide valuable information to coaches. However, it is indispensable to validate AROMs questionnaires and to uniform data collection and statistical procedures before substantiated indications to practitioners can be made.
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Affiliation(s)
- Pierpaolo Sansone
- Facultad de Deporte, UCAM Universidad Católica de Murcia, Murcia, Spain
- UCAM Research Center for High Performance Sport, UCAM Universidad Católica de Murcia, Murcia, Spain
| | - Vincenzo Rago
- Physical Performance Department, Al Ain Football Club, Abu Dhabi, United Arab Emirates
| | - Michael Kellmann
- Faculty of Sport Science, Ruhr University Bochum, Bochum, Germany; and
- School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Queensland, Australia
| | - Pedro E Alcaraz
- UCAM Research Center for High Performance Sport, UCAM Universidad Católica de Murcia, Murcia, Spain
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Brown GA, Massard T, Wignell T, McCall A, Duffield R. Monitoring Training Load and Wellness of Female Footballers Transitioning Between Club and National Teams. J Strength Cond Res 2023; 37:2235-2240. [PMID: 37883401 DOI: 10.1519/jsc.0000000000004532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
ABSTRACT Brown, GA, Massard, T, Wignell, T, McCall, A, and Duffield, R. Monitoring training load and wellness of female footballers transitioning between club and national teams. J Strength Cond Res 37(11): 2235-2240, 2023-This study described the change in training and match internal loads, plus perceptual wellness during the transition between club and national teams (NTs) for female international footballers (soccer). Session count, session rating of perceived exertion (s-RPE), and perceptual wellness data were collected from 42 players from 1 NT between 2019 and 2021 for 7 NT tournaments. Data were collated into 7-day (1 week) microcycles to compare the 2 weeks before the first week of NT (transition in: NT-2, NT-1, NT1); and separately from the final NT week to the next 2 weeks in clubs (transition out: NTFinal, NT+1, NT+2). Data were analyzed using linear mixed-models, with session count, s-RPE or wellness as the outcome variable, week as the fixed effect, player name, and tournament as random effects. Tukey's adjusted post-hoc comparisons and Cohen's d effect sizes (ES) were compared between weeks. Significance level was set at p < 0.05. During the transition into NT, training and total session counts increased (p < 0.0001, ES > 0.67), training s-RPE increased (p = 0.012, ES = 0.35), whereas match count and s-RPE decreased (p < 0.05, ES < -0.34). During the transition out of NT, there were decreases in training session count (p < 0.05, ES < -0.37), match count, and total session count (p < 0.0001, ES < -0.86), and match and total s-RPE (p < 0.0001, ES < -0.63). Perceived wellness was not significantly different throughout (p > 0.05, ES = -0.34 to 0.35). Thus, training and match exposures differ between club and NTs, demonstrating these unique transitional periods require simple and effective load monitoring to inform training and recovery prescription when changing between club and NTs.
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Affiliation(s)
- Georgia A Brown
- School of Sport, Exercise and Rehabilitation, Faculty of Health, University of Technology Sydney, New South Wales, Australia
- Football Australia, Sydney, New South Wales, Australia
| | - Tim Massard
- Football Australia, Sydney, New South Wales, Australia
- School of Health Sciences, Western Sydney University, Penrith, New South Wales, Australia; and
| | - Tony Wignell
- Football Australia, Sydney, New South Wales, Australia
- Westfield Sports High School, Fairfield West, New South Wales, Australia
| | - Alan McCall
- Football Australia, Sydney, New South Wales, Australia
| | - Rob Duffield
- School of Sport, Exercise and Rehabilitation, Faculty of Health, University of Technology Sydney, New South Wales, Australia
- Football Australia, Sydney, New South Wales, Australia
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Clements E, Ehrmann F, Clark A, Jones M, McCall A, Duffield R. Flight Path and Scheduling Effects on Perceived Jet Lag, Fatigue, and Sleep in Footballers Traveling to and From National Teams. Int J Sports Physiol Perform 2023; 18:1132-1140. [PMID: 37369367 DOI: 10.1123/ijspp.2023-0027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 04/07/2023] [Accepted: 05/22/2023] [Indexed: 06/29/2023]
Abstract
PURPOSE This study examined posttravel perceptual responses of national-team footballers (soccer) following different flight paths, arrival/departure times, and trip contexts. METHODS Details of 396 flights from national-team players (N = 68) were obtained and verified via an online flight database. Each player provided ratings of perceptual fatigue, sleep, soreness, stress, and jet lag for 2 days before and after each trip. The flight path (continents of departure and arrival), travel context (into vs out of national team), and arrival and departure times were obtained for each trip. Linear mixed models compared the pretravel with posttravel change in perceptual responses based on flight path, context, and schedule. RESULTS Perceived jet-lag ratings were more responsive to travel variables (R2 = .48) than other perceptual ratings (R2 < .26). Travel from Asia to Europe (P < .05) and Europe to Australia (P < .001) had significantly higher jet-lag ratings than all other paths. Fatigue scores were worst following Asia to Europe (P < .05) and Europe to Australia (P < .05) travel, while sleep scores were worst following Europe to Australia travel (P < .01). Perceptual responses were poorer following travel from national team to club compared with all other travel contexts (P < .05). Arrival during the daytime (11 AM to 5 PM) resulted in better perceptual responses than early-morning or late-night arrivals (P < .05). CONCLUSIONS Perceived jet-lag ratings are more responsive to travel demands than perceptual wellness scales in national-team football athletes. Poorer perceptual responses may be expected when travel is longer in nature, ends later in the day, or involves travel out of the national team back to club.
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Affiliation(s)
- Ewan Clements
- School of Sport, Exercise and Rehabilitation, Faculty of Health, University of Technology Sydney, Sydney, NSW,Australia
- Football Australia, Sydney, NSW,Australia
| | | | | | - Mark Jones
- Football Australia, Sydney, NSW,Australia
| | - Alan McCall
- School of Sport, Exercise and Rehabilitation, Faculty of Health, University of Technology Sydney, Sydney, NSW,Australia
- Football Australia, Sydney, NSW,Australia
| | - Rob Duffield
- School of Sport, Exercise and Rehabilitation, Faculty of Health, University of Technology Sydney, Sydney, NSW,Australia
- Football Australia, Sydney, NSW,Australia
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García F, Castellano J, Vicens-Bordas J, Vázquez-Guerrero J, Ferioli D. Impact of a 6-Day Official Tournament on Physical Demands, Perceptual-Physiological Responses, Well-Being, and Game Performance of Under-18 Basketball Players. Int J Sports Physiol Perform 2023; 18:1109-1115. [PMID: 37308139 DOI: 10.1123/ijspp.2022-0460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 05/03/2023] [Accepted: 05/07/2023] [Indexed: 06/14/2023]
Abstract
PURPOSE This study aimed to examine the effect of a 6-day basketball tournament on the physical demands, perceptual-physiological responses, well-being, and game statistics of elite under-18 (years of age) players. METHODS Physical demands (player load [PL], steps, impacts, and jumps, all normalized by playing time), perceptual-physiological responses (heart rate and rating of perceived exertion), well-being (Hooper index), and game statistics of 12 basketball players were monitored during 6 consecutive games. Linear mixed models and Cohen d effect sizes were used to assess differences among games. RESULTS Significant changes were found for PL per minute, steps per minute, impacts per minute, peak heart rate, and Hooper index over the tournament. Pairwise comparisons showed that PL per minute was higher in game #1 than in games #4 (P = .011, large), #5 (P < .001, very large), and #6 (P < .001, very large). PL per minute recorded during game #5 was also lower than in games #2 (P = .041, large) and #3 (P = .035, large). The number of steps per minute was higher in game #1 than in all other games (all P < .05, large to very large). Impacts per minute were significantly higher in game #3 than in games #1 (P = .035, large) and #2 (P = .004, large). The only physiological variable that varied significantly was peak heart rate (higher in game #3 than in game #6; P = .025, large). The Hooper index gradually increased throughout the tournament, indicating poorer player well-being as the tournament advanced. Game statistics did not significantly change among games. CONCLUSIONS The average intensities of each game and the players' well-being gradually decreased throughout the tournament. Conversely, physiological responses were mostly unaffected, and game statistics were unaffected.
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Affiliation(s)
- Franc García
- INEFC (Institut Nacional d'Educació Física de Catalunya), Barcelona,Spain
- Sports Performance Area, Futbol Club Barcelona, Barcelona,Spain
- Barça Innovation Hub, Futbol Club Barcelona, Barcelona,Spain
| | - Julen Castellano
- Physical Education and Sports Department, Faculty of Education and Sport, University of the Basque Country (UPV/EHU), Vitoria,Spain
- GIzartea, Kirola eta Ariketa Fisikoa Ikerkuntza Taldea/Society, Sports, and Exercise Research Group (UPV/EHU), Vitoria,Spain
| | - Jordi Vicens-Bordas
- Sport Performance Analysis Research Group (SPARG) and Sport and Physical Activity Studies Center (CEEAF), University of Vic-Central University of Catalonia, Barcelona,Spain
| | - Jairo Vázquez-Guerrero
- Sports Performance Area, Futbol Club Barcelona, Barcelona,Spain
- Barça Innovation Hub, Futbol Club Barcelona, Barcelona,Spain
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11
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Sansone P, Conte D, Li F, Tessitore A. Investigating the effects of athlete-reported pre-training well-being and recovery on subsequent training loads in basketball players. J Sports Med Phys Fitness 2023; 63:957-963. [PMID: 37259497 DOI: 10.23736/s0022-4707.23.14954-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
BACKGROUND Basketball players' external and internal training loads have been extensively monitored. However, no study has evaluated if pre-training athlete-reported conditions influence them. Therefore, this study investigated the effects of athlete-reported pre-training well-being and recovery on subsequent external load intensity, perceived exertion scores and their ratio (efficiency index) in youth basketball training. METHODS The external load (EL) intensity (EL∙min-1), ratings of perceived exertion (RPE) and efficiency index (EL∙min-1:RPE) of 15 youth basketball players (age: 15.2±0.3 years) were monitored during team-based training sessions. Before each session, players reported their levels of perceived recovery (using a modified 10-point Total Quality Recovery, TQR, scale), fatigue, sleep quality, muscle soreness, mood, and stress. Statistical analyses were performed via linear mixed models. RESULTS EL∙min-1 was higher when player reported better pre-training recovery (P= 0.001). Higher RPE scores and lower efficiency indexes were registered in players reporting better pre-training conditions, respectively. Specifically, RPE scores were higher when players reported better TQR, fatigue, muscle soreness and stress scores (all P<0.05), while training efficiency was, conversely, lower in correspondence of better TQR and sleep (all P<0.05). CONCLUSIONS This study identified influences of athlete-reported pre-training well-being and recovery on subsequent external intensity, RPE and efficiency index in youth basketball players. Recovery and well-being indicators could be monitored seen their influence on subsequent training loads. Current findings can be considered by basketball sport scientist when selecting athlete monitoring questionnaires and when interpreting training load outputs.
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Affiliation(s)
- Pierpaolo Sansone
- Facultad de Deporte, UCAM Universidad Católica de Murcia, Murcia, Spain -
- UCAM Research Center for High Performance Sport, UCAM Universidad Católica de Murcia, Murcia, Spain -
| | - Daniele Conte
- Department of Movement, Human and Health Sciences, Foro Italico University of Rome, Rome, Italy
| | - Feng Li
- China Basketball College, Beijing Sport University, Beijing, China
| | - Antonio Tessitore
- Department of Movement, Human and Health Sciences, Foro Italico University of Rome, Rome, Italy
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Martin-Garetxana I, Ciaurri J, Gil SM, Monasterio X, Ugarte A, Lekue JA, Larruskain J. What Are the Load and Wellness of Young Second-Team Football Players When Transitioning to the First Team? A Comparison of 2 Consecutive Preseasons. Int J Sports Physiol Perform 2023:1-8. [PMID: 37105543 DOI: 10.1123/ijspp.2022-0324] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 02/07/2023] [Accepted: 03/28/2023] [Indexed: 04/29/2023]
Abstract
PURPOSE To compare the load and wellness of second-team academy football players during a first-team preseason with those of first-team players and those of their previous second-team preseason. METHODS Athletic Club's first- (n = 10) and second-team (n = 9) players were prospectively followed during the 2019-20 first- and second-team and 2020-21 first-team preseasons. Weekly external and internal loads and average wellness z-scores (fatigue, sleep quality, muscle soreness, stress, and mood) were compared between preseasons and teams. RESULTS While training together during the 2020-21 preseason, second-team players performed more decelerations <-3 m/s2 per week than first-team players (moderate effect size). For first-team players, there were only small differences between preseasons in external load, but session rating of perceived exertion was higher (moderate) and stress (moderate) and mood (large) z-scores were worse in 2020-21. For second-team players, more total distance (large), accelerations >3 m/s2 (large), and decelerations <-3 m/s2 (very large) were performed; total loading (moderate) and session rating of perceived exertion (moderate) were higher; and fatigue (very large) and stress (moderate) z-scores were worse during the 2020-21 first-team preseason compared to their previous second-team preseason. CONCLUSIONS Players transitioning from the second team faced higher external and internal loads, fatigue, and stress during the first-team preseason compared to the previous second-team preseason. Player development and monitoring plans appear necessary to manage the transition from the academy to the first team.
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Affiliation(s)
- Imanol Martin-Garetxana
- Medical Services, Athletic Club, Lezama,Spain
- Department of Physiology, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), Leioa,Spain
| | - Jon Ciaurri
- Medical Services, Athletic Club, Lezama,Spain
| | - Susana M Gil
- Department of Physiology, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), Leioa,Spain
| | - Xabier Monasterio
- Medical Services, Athletic Club, Lezama,Spain
- Department of Physiology, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), Leioa,Spain
| | | | - Jose A Lekue
- Medical Services, Athletic Club, Lezama,Spain
- Department of Physiology, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), Leioa,Spain
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13
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Travassos B, Braz J, Mendes JL, Palas P, Rodrigues M, Silvério J, Brito J. The Road to Becoming a World Champion in Futsal. Int J Sports Physiol Perform 2023; 18:590-602. [PMID: 37055023 DOI: 10.1123/ijspp.2022-0414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 02/17/2023] [Accepted: 02/20/2023] [Indexed: 04/15/2023]
Abstract
PURPOSE The aim of the current study was to report the training program and monitoring outcomes of the Portuguese national futsal team during the preparation and competition phases of the FIFA Futsal World Cup Lithuania 2021™. For that, the variations in training load and wellness were measured, as well as their relationship. METHODS The study followed a retrospective cohort design. For all field training sessions, the volume, exercise structure, and area of play were identified. Player load, session rating of perceived exertion (sRPE), and wellness were collected. Descriptive statistics and Kruskal-Wallis tests were used for comparison purposes. A visualization method was used for load and well-being. RESULTS No significant differences were observed in the number of training sessions, session duration, and player load between preparation and competitive periods. sRPE showed significantly higher values in preparation than in competition periods (P < .05, d = 0.86) and significant differences between weeks (P < .05, d = 1.08). Wellness showed a general statistical difference between periods (P < .001, d = 1.28) and weeks (P < .05, d = 1.17). The correlation analysis for the overall period revealed a general linear relationship within variables of training load and wellness (P < .001). Variations occurred for preparation and competition periods. The visualization method through quadrant plots allowed us to understand the adaptation of the team and the players over the specific period under analysis. CONCLUSIONS Through this study, it was possible to better understand the training program and monitoring strategies of a high-performance futsal team over a high-level tournament.
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Affiliation(s)
- Bruno Travassos
- Department of Sport Sciences, University of Beira Interior, Covilhã,Portugal
- Research Center in Sports Sciences, Health and Human Development (CIDESD), Portugal
- Portugal Football School, Portuguese Football Federation, Oeiras,Portugal
| | - Jorge Braz
- Portugal Football School, Portuguese Football Federation, Oeiras,Portugal
| | - José L Mendes
- Portugal Football School, Portuguese Football Federation, Oeiras,Portugal
| | - Pedro Palas
- Portugal Football School, Portuguese Football Federation, Oeiras,Portugal
| | - Manuel Rodrigues
- Portugal Football School, Portuguese Football Federation, Oeiras,Portugal
| | - Jorge Silvério
- Portugal Football School, Portuguese Football Federation, Oeiras,Portugal
| | - João Brito
- Portugal Football School, Portuguese Football Federation, Oeiras,Portugal
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Figueiredo DH, Figueiredo DH, Bellenger C, Machado FA. Individually guided training prescription by heart rate variability and self-reported measure of stress tolerance in recreational runners: Effects on endurance performance. J Sports Sci 2023; 40:2732-2740. [PMID: 36940300 DOI: 10.1080/02640414.2023.2191082] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/22/2023]
Abstract
The aim of this study was to determine the effect of endurance training individually guided by objective (Heart Rate Variability-HRV) or self-report measure of stress (DALDA-questionnaire) in comparison to predefined endurance training prescription for improving endurance performance in recreational runners. After a 2-week preliminary baseline period to establish resting HRV and self-reported measure of stress, thirty-six male recreational runners were randomly assigned to HRV-guided (GHRV; n = 12), DALDA-guided (GD; n = 12) or predefined training (GT; n = 12) prescription groups. Before and after 5-weeks of endurance training, participants performed a track field peak velocity (Vpeak_TF), time limit (Tlim) at 100% of Vpeak_TF and 5 km time-trial (5 km TT) tests. GD lead to higher improvements in Vpeak_TF (8.4 ± 1.8%; ES = 1.41) and 5 km TT (-12.8 ± 4.2%; ES = -1.97), than GHRV (6.6 ± 1.5% and -8.3 ± 2.8%; ES = -1.20; 1.24) and GT (4.9 ± 1.5% and -6.0 ± 3.3%; ES = -0.82; 0.68), respectively, with no differences for Tlim. Self-report measures of stress may be used to individualize endurance training prescription on a daily basis leading to better performance enhancement, which may be used with HRV for a holistic understanding of daily training-induce adaptations.
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Affiliation(s)
- Diego Hilgemberg Figueiredo
- Associate Post-graduate Program in Physical Education UEM/UEL, Department of Physical Education, State University of Maringá,Maringá-PR, Brazil
| | - Diogo Hilgemberg Figueiredo
- Associate Post-graduate Program in Physical Education UEM/UEL, Department of Physical Education, State University of Maringá,Maringá-PR, Brazil
| | - Clint Bellenger
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health and Human Performance unit, University of South Australia, Adelaide, Australia
| | - Fabiana Andrade Machado
- Associate Post-graduate Program in Physical Education UEM/UEL, Department of Physical Education, State University of Maringá,Maringá-PR, Brazil
- Post-graduate Program of Physiological Sciences, Department of Physiological Sciences, State University of Maringá, Maringá-PR, Brazil
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Travel Across More Time Zones Results in Worse Perceived Fatigue and Sleep in National-Team Footballers. Int J Sports Physiol Perform 2023; 18:268-275. [PMID: 36716744 DOI: 10.1123/ijspp.2022-0230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 10/03/2022] [Accepted: 11/07/2022] [Indexed: 01/31/2023]
Abstract
PURPOSE This study investigated the association between (1) time zone difference and (2) travel direction (east vs west) with posttravel changes in perceptual responses of national-team footballers. METHODS Travel schedules from 355 national-team trips (50 elite soccer players) were verified using an online flight database. All players provided perceptual ratings of fatigue, sleep quality, soreness, and stress to calculate changes in scores up to 2 days after travel. Trips were categorized as <3, 3 to 6, 6 to 9, or 9+ time zone changes, along with travel direction (eastward or westward). The pretravel to posttravel changes in perceptual ratings at days 1 and 2 postarrival were compared between time zone change and travel direction with linear mixed models. RESULTS For every time zone crossed, poorer ratings of perceptual fatigue (β = 0.068, P < .001), sleep (β = 0.095, P < .001), soreness (β = 0.0049, P < .001), and total wellness (β = 0.214, P < .001) were observed. However, the models explained only small proportions of the variation in postflight perceptual responses (7%-18%). Regardless, travel across 9+ time zones resulted in significantly worse perceived fatigue, sleep, and total wellness for days 1 and 2 postarrival compared with travel with <6 time zones (P < .05). Additionally, fatigue, sleep, and total scores were worse on day 2 following trips of 9+ time zones. Eastward travel resulted in poorer sleep ratings (β = 0.52, P < .001) than westward travel within time zone groupings. CONCLUSIONS Perceptual ratings of fatigue and sleep become progressively worse as travel increases in national-team soccer players, especially after travel across 9+ time zones and eastward travel.
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16
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Perspectives on Postmatch Fatigue From 300 Elite European Soccer Players. Int J Sports Physiol Perform 2023; 18:55-60. [PMID: 36521189 DOI: 10.1123/ijspp.2022-0200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 08/07/2022] [Accepted: 09/13/2022] [Indexed: 12/23/2022]
Abstract
PURPOSE To examine the general perspectives of elite soccer players on the time course of perceived postmatch fatigue and the influence of away matches on subjective perceptions. METHODS Adopting a cross-sectional study design, we invited 371 subjects from 14 top-division European clubs competing in the Belgian First Division A, English Premier League, French Ligue 1, Italian Serie A, Portuguese Primeira Liga, Russian Premier League, and Swiss Premier League to take part in a short survey on general issues relating to postmatch fatigue measurement and tracking in professional soccer. RESULTS Three hundred male professional soccer players completed the short questionnaire. For perceptions relevant to the time course of postmatch fatigue, two-thirds of respondents (67%) indicated higher postmatch fatigue perceived 2 days (48 h) after an official competition. Among these respondents, a higher proportion of answers was observed in wide midfielders (74%), attackers (74%), and central midfielders (68%). Approximately two-thirds of respondents (63%) indicated more than usual and much more than usual perceived postmatch fatigue following away matches. CONCLUSIONS For the first time, our investigation addressed practical aspects that remained unexplored and fundamental to the definition of an optimal player management process following a competition. From a practical standpoint, perspectives of individual elite soccer players substantiated the notion of implementing processes with dedicated recovery protocols within 48 hours postmatch and highlighted the need for differential strategies addressing the additional burden of away matches and travel.
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Naughton M, Scott T, Weaving D, Solomon C, McLean S. Defining and quantifying fatigue in the rugby codes. PLoS One 2023; 18:e0282390. [PMID: 36897849 PMCID: PMC10004502 DOI: 10.1371/journal.pone.0282390] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 02/13/2023] [Indexed: 03/11/2023] Open
Abstract
The rugby codes (i.e., rugby union, rugby league, rugby sevens [termed 'rugby']) are team-sports that impose multiple complex physical, perceptual, and technical demands on players which leads to substantial player fatigue post-match. In the post-match period, fatigue manifests through multiple domains and negatively influences recovery. There is, however, currently no definition of fatigue contextualised to the unique characteristics of rugby (e.g., locomotor and collision loads). Similarly, the methods and metrics which practitioners consider when quantifying the components of post-match fatigue and subsequent recovery are not known. The aims of this study were to develop a definition of fatigue in rugby, to determine agreement with this common definition of fatigue, and to outline which methods and metrics are considered important and feasible to implement to quantify post-match fatigue. Subject matter experts (SME) undertook a two-round online Delphi questionnaire (round one; n = 42, round two; n = 23). SME responses in round one were analysed to derive a definition of fatigue, which after discussion and agreement by the investigators, obtained 96% agreement in round two. The SME agreed that fatigue in rugby refers to a reduction in performance-related task ability which is underpinned by time-dependent negative changes within and between cognitive, neuromuscular, perceptual, physiological, emotional, and technical/tactical domains. Further, there were 33 items in the neuromuscular performance, cardio-autonomic, or self-report domains achieved consensus for importance and/or feasibility to implement. Highly rated methods and metrics included countermovement jump force/power (neuromuscular performance), heart rate variability (cardio-autonomic measures), and soreness, mood, stress, and sleep quality (self-reported assessments). A monitoring system including highly-rated fatigue monitoring objective and subjective methods and metrics in rugby is presented. Practical recommendations of objective and subjective measures, and broader considerations for testing and analysing the resulting data in relation to monitoring fatigue are provided.
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Affiliation(s)
- Mitchell Naughton
- School of Health and Behavioural Sciences, University of the Sunshine Coast, Sippy Downs, Queensland, Australia
- Centre for Human Factors and Sociotechnical Systems, University of the Sunshine Coast, Sippy Downs, Queensland, Australia
- Applied Sports Science and Exercise Testing Laboratory, University of Newcastle, Ourimbah, New South Wales, Australia
| | - Tannath Scott
- Carnegie Applied Rugby Research Centre, Leeds Beckett University, Leeds, West Yorkshire, United Kingdom
- School of Health Sciences and Social Work, Griffith University, Gold Coast, Queensland, Australia
| | - Dan Weaving
- Carnegie Applied Rugby Research Centre, Leeds Beckett University, Leeds, West Yorkshire, United Kingdom
- * E-mail:
| | - Colin Solomon
- School of Health and Behavioural Sciences, University of the Sunshine Coast, Sippy Downs, Queensland, Australia
- Centre for Human Factors and Sociotechnical Systems, University of the Sunshine Coast, Sippy Downs, Queensland, Australia
| | - Scott McLean
- Centre for Human Factors and Sociotechnical Systems, University of the Sunshine Coast, Sippy Downs, Queensland, Australia
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Development and Validation of Single Items for Fatigue and Recovery in Dancers. Int J Sports Physiol Perform 2023; 18:474-487. [PMID: 36927997 DOI: 10.1123/ijspp.2022-0011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 12/16/2022] [Accepted: 01/09/2023] [Indexed: 03/18/2023]
Abstract
PURPOSE To examine the construct validity and reliability of 2 single items for fatigue and recovery in dancers. The construct validity was assessed using reference instruments: the fatigue items of the Brunel Mood Scale (BRUMS) and the Short Recovery and Stress Scale (SRSS). A secondary aim was to explore the respondent interpretation of these 2 items using a concept identification approach. METHODS Two hundred forty-three (N = 243) dancers completed single-item fatigue and recovery (unipolar and bipolar), BRUMS, and SRSS once for construct validity. For reliability, 49 dancers completed the questionnaires twice, 1 week apart. Using a concept identification approach, 49 dancers were also asked comprehension and interpretation of fatigue and recovery. RESULTS The fatigue item correlated with SRSS stress items (rs = .37-.51) and BRUMs fatigue items (rs = .63-.66). The recovery item was only partially confirmed in terms of construct validity, when using the SRSS recovery items as reference (rs = .39-.43). Reliability was confirmed for the single items of fatigue (κ = .77-.78) and recovery (κ = .71-.78). Main responses for the concept of fatigue were tiredness (34.7%), muscle soreness (17.3%), and energy (13.0%). Main responses for the concept of recovery were muscle soreness (43.0%), tiredness (27.9%), and fatigue (24.0%). CONCLUSION We provide preliminary confirmation of the validity and reliability of the single item fatigue in dancers. The recovery item was only partially confirmed in terms of construct validity, when using the SRSS recovery items as reference, but did display acceptable reliability and agreement. Further research is warranted further exploring other measurement properties.
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Bestwick-Stevenson T, Toone R, Neupert E, Edwards K, Kluzek S. Assessment of Fatigue and Recovery in Sport: Narrative Review. Int J Sports Med 2022; 43:1151-1162. [PMID: 35468639 DOI: 10.1055/a-1834-7177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Fatigue is a phenomenon associated with decreases in both physical and cognitive performances and increases in injury occurrence. Competitive athletes are required to complete demanding training programs with high workloads to elicit the physiological and musculoskeletal adaptations plus skill acquisition necessary for performance. High workloads, especially sudden rapid increases in training loads, are associated with the occurrence of fatigue. At present, there is limited evidence elucidating the underlying mechanisms associating the fatigue generated by higher workloads and with an increase in injury risk. The multidimensional nature and manifestation of fatigue have led to differing definitions and dichotomies of the term. Consequently, a plethora of physiological, biochemical, psychological and performance markers have been proposed to measure fatigue and recovery. Those include self-reported scales, countermovement jump performance, heart rate variability, and saliva and serum biomarker analyses. The purpose of this review is to provide an overview of fatigue and recovery plus methods of assessments.
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Affiliation(s)
- Thomas Bestwick-Stevenson
- School of Medicine, University of Nottingham, Nottingham, United Kingdom of Great Britain and Northern Ireland
- Centre for Sport, Exercise and Osteoarthritis Research Versus Arthritis, University of Nottingham, Nottingham, United Kingdom of Great Britain and Northern Ireland
| | - Rebecca Toone
- Mountain Biking, English Institute of Sport, Manchester, United Kingdom of Great Britain and Northern Ireland
| | - Emma Neupert
- School of Sport Health and Exercise Science, University of Portsmouth, Portsmouth, United Kingdom of Great Britain and Northern Ireland
| | - Kimberley Edwards
- School of Medicine, University of Nottingham, Nottingham, United Kingdom of Great Britain and Northern Ireland
- Centre for Sport, Exercise and Osteoarthritis Research Versus Arthritis, University of Nottingham, Nottingham, United Kingdom of Great Britain and Northern Ireland
| | - Stefan Kluzek
- School of Medicine, University of Nottingham, Nottingham, United Kingdom of Great Britain and Northern Ireland
- Centre for Sport, Exercise and Osteoarthritis Research Versus Arthritis, University of Nottingham, Nottingham, United Kingdom of Great Britain and Northern Ireland
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Shell SJ, Slattery K, Clark B, Broatch JR, Halson SL, Coutts AJ. Development and validity of the Subjective Training Quality scale. Eur J Sport Sci 2022:1-8. [PMID: 35965450 DOI: 10.1080/17461391.2022.2111276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
AbstractThis study aimed to define, develop, and validate a subjective scale of training quality. Two related studies were used to 1) define training quality and 2) develop and validate a subjective scale. Part One: a purposive sample of 15 sub-elite (i.e., national) and elite (i.e., international) swimmers participated in one, 20-30-min semi-structured interview. Thematic analysis of interview responses established three constructs to define training quality. These were the physical, technical, and mental aspects of training. Part Two: development of the Subjective Training Quality (STQ) scale based on the three constructs identified in Part One. 252 sub-elite and elite athletes, across eight sports completed the STQ scale. Cronbach's alpha (α) assessed internal consistency, histogram plot analysis assessed face validity, and confirmatory factor analysis (CFA) compared physical, technical, and mental constructs with training quality. Root mean square error of approximation (RMSEA) and standardised root mean square residual (SRMR) evaluated CFA quality of fit. Physical, technical, and mental constructs demonstrated a high 'acceptable' level of internal consistency (α=0.85) and excellent face validity. Comparatively, the CFA quality of fit was 'excellent' (RMSEA=<0.01 'good', SRMR = 0.00 'perfect'). The STQ scale demonstrated excellent internal consistency and face validity, establishing capacity to monitor training quality. The STQ scale could be used in conjunction with traditional training monitoring tools to provide additional insight into athlete's training quality. Further investigation is required to determine how the STQ scale may interact with subjective and objective training performance measures, and how it could be incorporated into daily training monitoring.
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Affiliation(s)
- Stephanie J Shell
- University of Technology Sydney, Sydney, Australia, .,Australian Institute of Sport, Canberra, Australia,
| | - Katie Slattery
- University of Technology Sydney, Sydney, Australia, .,New South Wales Institute of Sport, Sydney,
| | - Brad Clark
- University of Canberra, Canberra, Australia, Australia,
| | - James R Broatch
- Australian Institute of Sport, Canberra, Australia, .,Institute for Health & Sport (IHeS), Victoria University, Melbourne, Australia,
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An Improved Logistic Regression Method for Assessing the Performance of Track and Field Sports. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2022; 2022:6341495. [PMID: 35958798 PMCID: PMC9363177 DOI: 10.1155/2022/6341495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 06/22/2022] [Accepted: 07/06/2022] [Indexed: 11/27/2022]
Abstract
Track and field is an important part of sports. Track and field athletes are an important reserve force for the development of national sports. An accurate assessment of track and field athletes' performance can help them develop more appropriate training programs and improve their performance. In order to assess the performance of track and field athletes better, this paper proposes an improved logistic regression method. Firstly, this method uses factor analysis to reduce the data dimensions of the factors that affect the performance of track and field athletes, and uses the principal component analysis to select common factors and their corresponding values. Then, according to the common factors, a binary logistic regression model is established to evaluate the performance of track and field athletes. Experiments show that the method can effectively evaluate the performance of track and field athletes and is suitable for athletes of different track and field sports. It has high accuracy, fast evaluation efficiency, and good universality of performance evaluation. For different numbers of athletes, the proposed method has a lower error evaluation index, higher evaluation accuracy, and better evaluation quality. Compared with the other two methods, the proposed method has the shortest evaluation time and is more effective for the performance evaluation of track and field athletes.
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22
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Poor Reliability of Measurement Instruments to Assess Acute Responses to Load in Soccer Players Irrespective of Biological Maturity Status. Pediatr Exerc Sci 2022; 34:125-134. [PMID: 35045392 DOI: 10.1123/pes.2021-0070] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Revised: 11/01/2021] [Accepted: 12/15/2021] [Indexed: 11/18/2022]
Abstract
PURPOSE To assess the short-term reliability of measurement instruments to quantify the acute psychophysiological response to load in adolescent soccer players in relation to biological maturity. METHODS Data were collected from 108 U12 to U17 soccer players on 2 consecutive weeks (pre, n = 32; at, n = 34; and post, n = 42 estimated peak height velocity). Measurements consisted of the Short Recovery and Stress Scale, a countermovement jump, assessment of leg stiffness, and a submaximal run to assess exercise heart rate and heart rate recovery. Test-retest reliability was assessed with the coefficient of variation (CV) and intraclass correlation coefficient (ICC). RESULTS Items of the Short Recovery and Stress Scale showed poor reliability across maturity groups (CV = 7.0%-53.5%; ICC = .28 to .79). Only few countermovement jump variables (jump height, concentric impulse, and concentric velocity) possessed good reliability. For most variables of the countermovement jump, reliability was better for the post peak height velocity group followed by at-peak height velocity and prepeak height velocity. Very high levels of reliability across maturity groups were observed for exercise heart rate (CV < 1.8%; ICC > .94), while heart rate recovery was more variable (CV < 16.5%; ICC > .48). CONCLUSION Results suggest that the majority of investigated variables have poor reliability, questioning their ability to detect small, yet meaningful changes in acute responses to load in adolescent soccer players.
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Neupert E, Gupta L, Holder T, Jobson SA. Athlete monitoring practices in elite sport in the United Kingdom. J Sports Sci 2022; 40:1450-1457. [PMID: 35694788 DOI: 10.1080/02640414.2022.2085435] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Athlete monitoring systems (AMS) aid performance optimisation and support illness/injury prevention. Nonetheless, limited information exists on how AMS are employed across elite sports in the United Kingdom. This study explored how athlete monitoring (AM) data, in particular athlete self-report measures, were collected, analysed and disseminated within elite sports. Thirty elite sports practitioners representing 599 athletes responded to a survey on their AM methodologies. The majority, 83%, (n = 25) utilised an AMS, and a further 84% (n = 21) stated the collection of their AMS data was underpinned by a scientific rationale. Athlete self-report measures (ASRM) were the most commonly employed tool, with muscle soreness, sleep and energy levels amongst the most frequently collected measures. The ubiquitous use of custom single-item ASRM resulted in considerable variability in the questionnaires employed, thus potentially impacting questionnaire validity. Feedback processes were largely felt to be ineffective, with 44% (n = 11) respondents indicating that athletes did not receive sufficient feedback. Some respondents indicated that AMS data was never discussed with athletes and/or coaches. Overall, significant disparities exist in the use of athlete monitoring systems between research and elite sports practice, and the athlete, coach and practitioner experience of monitoring risks being poor if these disparities are not addressed.
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Affiliation(s)
- Emma Neupert
- School of Sport, Health & Exercise Science, University of Portsmouth, Portsmouth, UK.,School of Sport, Health & Community, University of Winchester, Winchester, UK
| | | | - Tim Holder
- School of Sport, Health & Community, University of Winchester, Winchester, UK
| | - Simon A Jobson
- Faculty of Health & Wellbeing, University of Winchester, Winchester UK
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Lathlean TJ, Newstead SV, Gastin PB. Elite Junior Australian Football Players With Impaired Wellness Are at Increased Injury Risk at High Loads. Sports Health 2022; 15:218-226. [PMID: 35524427 PMCID: PMC9951000 DOI: 10.1177/19417381221087245] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Elite junior Australian football players experience high training loads across levels of competition and training. This, in conjunction with impaired wellness, can predispose athletes to injury. HYPOTHESIS Elite junior Australian football players exposed to high loads with poor wellness are more likely to be at risk of injury than those with improved wellness. STUDY DESIGN Longitudinal prospective cohort study. LEVEL OF EVIDENCE Level 3. METHODS Data were collected and analyzed from 280 players across the 2014 season. Internal load was measured via session rating of perceived exertion. Player wellness was reported according to ratings of sleep quality, fatigue, soreness, stress, and mood. Week- and month-based training load measures were calculated, representing a combination of absolute and relative load variables. Principal component analysis factor loadings, based on 17 load and wellness variables, were used to calculate summed variable covariates. Injury was defined as "any injury leading to a missed training session or competitive match." Associations between covariates and injury risk (yes/no) were determined via logistic generalized estimating equations. RESULTS A significant interaction term between load and wellness on injury was found [odds ratio (OR) 0.76; 95% CI 0.62-0.92; P < 0.01), indicating that wellness acts as a "dimmer switch" of load on injury. Further, there was evidence of moderated mediation (OR 0.71; 95% CI 0.57-0.87; P < 0.01). When wellness was low, injury risk started to increase substantially at a 1-week load of 3250 au. CONCLUSIONS Subjective measures of training load are associated with injury risk through a nonlinear relationship. This relationship is further influenced by player wellness, which can amplify the risk of injury. There is evidence that higher stress is linked with injury and that soreness and sleep mediate any stress-injury relationship. CLINICAL RELEVANCE Coaching efforts to manage training load and player adaptive responses, including wellness, may reduce the risk of injury, with stress, soreness, and sleep particularly relevant at this level.
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Affiliation(s)
- Timothy J.H. Lathlean
- Adelaide Medical School, Faculty of
Health and Medical Sciences, The University of Adelaide, Adelaide, Australia,Monash University Accident Research
Centre (MUARC), Monash University, Clayton, Australia,Exercise and Sports Science, School of
Science and Technology, University of New England, Armidale, New South Wales,
Australia,Timothy J H Lathlean, PhD,
ESSAM AES AEP, Adelaide Medical School, Faculty of Health and Medical Sciences,
The University of Adelaide, Lyell McEwin Hospital, 5112, Australia (
) (Twitter: @TimLathlean)
| | - Stuart V. Newstead
- Monash University Accident Research
Centre (MUARC), Monash University, Clayton, Australia
| | - Paul B. Gastin
- La Trobe Sport and Exercise Medicine
Research Centre, School of Allied Health, Human Services and Sport, La Trobe
University, Melbourne, Victoria, Australia
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25
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Nasser AM, Fearon AM, Grimaldi A, Vicenzino B, Mellor R, Spencer T, Semciw AI. Outcome measures in the management of gluteal tendinopathy: a systematic review of their measurement properties. Br J Sports Med 2022; 56:877-887. [PMID: 35396205 DOI: 10.1136/bjsports-2021-104548] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/24/2022] [Indexed: 11/03/2022]
Abstract
OBJECTIVE Evaluate properties of outcome measures for gluteal tendinopathy. DESIGN Multistage scoping/systematic review. DATA SOURCES Cochrane, PubMed, Embase, Scopus, Web of Science, PEDro, CINAHL, SPORTDISCUS were searched (December 2021) to identify measures used to evaluate gluteal tendinopathy. Measures were mapped to the core health domains for tendinopathy. Medline, CINAHL, Embase and PubMed were searched (December 2021) for studies evaluating measurement properties of gluteal tendinopathy outcome measures captured in the initial search. Both reviews included studies that evaluated a treatment in participants with gluteal tendinopathy, diagnosed by a professional. Consensus-based-Standards for the Selection of Health Instruments methodology were followed-including bias assessment and synthesis of findings. RESULTS Six studies reported on the Victorian Institute of Sport Assessment-Gluteal Tendinopathy (VISA-G). One study reported on the Hip Outcome Score (HOS)-activities of daily living (ADL) and Sport.The VISA-G had moderate-quality evidence of sufficient construct validity (known group) and responsiveness (pre-post intervention), low-quality evidence of sufficient reliability, measurement error, comprehensibility and insufficient construct validity (convergent), and very low-quality evidence of sufficient comprehensiveness, relevance and responsiveness (comparison with other outcome measures).Both the HOS(ADL) and HOS(Sport) had very low-quality evidence of sufficient reliability, relevance and insufficient construct validity and comprehensiveness. The HOS(ADL) had very low-quality evidence of sufficient comprehensibility and insufficient measurement error. The HOS(Sport) had very low quality evidence of inconsistent comprehensibility and sufficient measurement error. CONCLUSION Rigorously validated outcome measures for gluteal tendinopathy are lacking. The VISA-G is the preferred available option to capture the disability associated with gluteal tendinopathy.
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Affiliation(s)
- Anthony M Nasser
- School of Allied Health, La Trobe University, Melbourne, Victoria, Australia .,Graduate School of Health, University of Technology, Sydney, New South Wales, Australia
| | - Angela M Fearon
- Discipline of Physiotherapy, Faculty of Health, University of Canberra, Canberra, Australian Capital Territory, Australia.,Trauma and Orthopaedic Research Unit, Canberra Hospital, Canberra, Australian Capital Territory, Australia
| | - Alison Grimaldi
- School of Health and Rehabilitation Sciences, University of Queensland, Brisbane, Queensland, Australia
| | - Bill Vicenzino
- School of Health and Rehabilitation Sciences, University of Queensland, Brisbane, Queensland, Australia
| | - Rebecca Mellor
- School of Health and Rehabilitation Sciences, University of Queensland, Brisbane, Queensland, Australia
| | - Trevor Spencer
- Discipline of Physiotherapy, Faculty of Health, University of Canberra, Canberra, Australian Capital Territory, Australia.,Trauma and Orthopaedic Research Unit, Canberra Hospital, Canberra, Australian Capital Territory, Australia
| | - Adam Ivan Semciw
- School of Allied Health, La Trobe University, Melbourne, Victoria, Australia.,Allied Health, Northern Health, Melbourne, Victoria, Australia
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26
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Montull L, Slapšinskaitė-Dackevičienė A, Kiely J, Hristovski R, Balagué N. Integrative Proposals of Sports Monitoring: Subjective Outperforms Objective Monitoring. SPORTS MEDICINE - OPEN 2022; 8:41. [PMID: 35348932 PMCID: PMC8964908 DOI: 10.1186/s40798-022-00432-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 02/26/2022] [Indexed: 12/20/2022]
Abstract
Current trends in sports monitoring are characterized by the massive collection of tech-based biomechanical, physiological and performance data, integrated through mathematical algorithms. However, the application of algorithms, predicated on mechanistic assumptions of how athletes operate, cannot capture, assess and adequately promote athletes' health and performance. The objective of this paper is to reorient the current integrative proposals of sports monitoring by re-conceptualizing athletes as complex adaptive systems (CAS). CAS contain higher-order perceptual units that provide continuous and multilevel integrated information about performer-environment interactions. Such integrative properties offer exceptional possibilities of subjective monitoring for outperforming any objective monitoring system. Future research should investigate how to enhance this human potential to contribute further to athletes' health and performance. This line of argument is not intended to advocate for the elimination of objective assessments, but to highlight the integrative possibilities of subjective monitoring.
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Affiliation(s)
- Lluc Montull
- Complex Systems in Sport Research Group, Institut Nacional d'Educació Física de Catalunya (INEFC), Universitat de Barcelona, Barcelona, Spain
- University School of Health and Sport, University of Girona, Girona, Spain
| | - Agne Slapšinskaitė-Dackevičienė
- Complex Systems in Sport Research Group, Institut Nacional d'Educació Física de Catalunya (INEFC), Universitat de Barcelona, Barcelona, Spain
- Department of Sports Medicine, Faculty of Nursing and Faculty of Public Health, Health Research Institute, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - John Kiely
- Institute of Coaching and Performance, School of Sport and Wellbeing, University of Central Lancashire, Preston, PR1 2HE, UK
| | - Robert Hristovski
- Complex Systems in Sport Research Group, Faculty of Physical Education, Sport and Health, Ss. Cyril and Methodius University in Skopje, Skopje, Macedonia
| | - Natàlia Balagué
- Complex Systems in Sport Research Group, Institut Nacional d'Educació Física de Catalunya (INEFC), Universitat de Barcelona, Barcelona, Spain.
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27
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The Effect of Rugby Union Match Play on Sleep Patterns and Subsequent Impact on Postmatch Fatigue Responses. Int J Sports Physiol Perform 2022; 17:852-861. [PMID: 35235907 DOI: 10.1123/ijspp.2021-0421] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 11/08/2021] [Accepted: 11/08/2021] [Indexed: 11/18/2022]
Abstract
PURPOSE Sleep is recognized as an important recovery strategy, yet little is known regarding its impact on postmatch fatigue. The aims of this study were to (1) describe sleep and postmatch fatigue, (2) understand how sleep is affected by contextual and match factors, and (3) assess how changes in sleep can affect postmatch fatigue. METHODS Twenty-three male rugby union players were monitored across 1 season (N = 71 player-match observations). Actigraphy was used during preseason to establish baseline sleep quality and quantity. Sleep was then measured 1 and 2 days after each match day (MD + 1 and MD + 2). Global positioning systems, notational analysis, and rating of perceived exertion represented external and internal load from matches. Subjective wellness and a standardized run were used to characterize postmatch fatigue 2 days prior (baseline) and at MD + 1 and MD + 2. Linear mixed models established the magnitude of change (effect size [ES]) between baseline, MD + 1, and MD + 2 for sleep and postmatch fatigue. Stepwise forward selection analysis ascertained the effect of match load on sleep and the effect of sleep on postmatch fatigue. Each analysis was combined with magnitude-based decisions. RESULTS Sleep characteristics and neuromuscular and perceptual postmatch fatigue were negatively affected at MD + 1 and MD + 2 (ES = small to very large). Kickoff and travel time had the greatest effect on sleep (ES = small). Wellness and soreness were influenced by sleep (fall-asleep time and fragmentation index) and collisions, respectively (ES = small). CONCLUSION Sleep quality and quantity were affected independently of the match load (ie, running activity) sustained, and changes in sleep marginally affected postmatch fatigue.
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28
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Jeffries A, Marcora S, Coutts A, Wallace L, McCall A, Impellizzeri F. Authors' Response to Comment on: "Development of a Revised Conceptual Framework of Physical Training for Use in Research". Sports Med 2022; 52:953. [PMID: 34978659 DOI: 10.1007/s40279-021-01628-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/16/2021] [Indexed: 11/26/2022]
Affiliation(s)
- Annie Jeffries
- Faculty of Health, Human Performance Research Centre, University of Technology Sydney, UTS Moore Park Precinct, Level 3, Corner of Moore Park Rd and Driver Avenue, Moore Park, Sydney, NSW, 2021, Australia.
| | - Samuele Marcora
- Endurance Research Group, School of Sport and Exercise Sciences, University of Kent, Canterbury, UK
- Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, Bologna, Italy
| | - Aaron Coutts
- Faculty of Health, Human Performance Research Centre, University of Technology Sydney, UTS Moore Park Precinct, Level 3, Corner of Moore Park Rd and Driver Avenue, Moore Park, Sydney, NSW, 2021, Australia
| | - Lee Wallace
- Faculty of Health, Human Performance Research Centre, University of Technology Sydney, UTS Moore Park Precinct, Level 3, Corner of Moore Park Rd and Driver Avenue, Moore Park, Sydney, NSW, 2021, Australia
| | - Alan McCall
- Faculty of Health, Human Performance Research Centre, University of Technology Sydney, UTS Moore Park Precinct, Level 3, Corner of Moore Park Rd and Driver Avenue, Moore Park, Sydney, NSW, 2021, Australia
- Arsenal Performance and Research Team, Arsenal Football Club, London, UK
| | - Franco Impellizzeri
- Faculty of Health, Human Performance Research Centre, University of Technology Sydney, UTS Moore Park Precinct, Level 3, Corner of Moore Park Rd and Driver Avenue, Moore Park, Sydney, NSW, 2021, Australia
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29
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Shushan T, McLaren SJ, Buchheit M, Scott TJ, Barrett S, Lovell R. Submaximal Fitness Tests in Team Sports: A Theoretical Framework for Evaluating Physiological State. Sports Med 2022; 52:2605-2626. [PMID: 35817993 PMCID: PMC9584880 DOI: 10.1007/s40279-022-01712-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/22/2022] [Indexed: 02/01/2023]
Abstract
Team-sports staff often administer non-exhaustive exercise assessments with a view to evaluating physiological state, to inform decision making on athlete management (e.g., future training or recovery). Submaximal fitness tests have become prominent in team-sports settings for observing responses to a standardized physical stimulus, likely because of their time-efficient nature, relative ease of administration, and physiological rationale. It is evident, however, that many variations of submaximal fitness test characteristics, response measures, and monitoring purposes exist. The aim of this scoping review is to provide a theoretical framework of submaximal fitness tests and a detailed summary of their use as proxy indicators of training effects in team sports. Using a review of the literature stemming from a systematic search strategy, we identified five distinct submaximal fitness test protocols characterized in their combinations of exercise regimen (continuous or intermittent) and the progression of exercise intensity (fixed, incremental, or variable). Heart rate-derived indices were the most studied outcome measures in submaximal fitness tests and included exercise (exercise heart rate) and recovery (heart rate recovery and vagal-related heart rate variability) responses. Despite the disparity between studies, these measures appear more relevant to detect positive chronic endurance-oriented training effects, whereas their role in detecting negative transient effects associated with variations in autonomic nervous system function is not yet clear. Subjective outcome measures such as ratings of perceived exertion were less common in team sports, but their potential utility when collected alongside objective measures (e.g., exercise heart rate) has been advocated. Mechanical outcome measures either included global positioning system-derived locomotor outputs such as distance covered, primarily during standardized training drills (e.g., small-sided games) to monitor exercise performance, or responses derived from inertial measurement units to make inferences about lower limb neuromuscular function. Whilst there is an emerging interest regarding the utility of these mechanical measures, their measurement properties and underpinning mechanisms are yet to be fully established. Here, we provide a deeper synthesis of the available literature, culminating with evidence-based practical recommendations and directions for future research.
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Affiliation(s)
- Tzlil Shushan
- grid.1029.a0000 0000 9939 5719School of Health Sciences, Western Sydney University, Sydney, NSW Australia
| | - Shaun J. McLaren
- Newcastle Falcons Rugby Club, Newcastle upon Tyne, UK ,grid.8250.f0000 0000 8700 0572Department of Sport and Exercise Sciences, Durham University, Durham, UK
| | - Martin Buchheit
- HIIT Science, Revelstoke, BC Canada ,grid.418501.90000 0001 2163 2398French National Institute of Sport (INSEP), Laboratory of Sport, Expertise and Performance (EA 7370), Paris, France ,Kitman Labs, Performance Research Intelligence Initiative, Dublin, Ireland ,grid.1019.90000 0001 0396 9544Institute for Health and Sport, Victoria University, Melbourne, VIC Australia
| | - Tannath J. Scott
- Netball Australia, Melbourne, VIC Australia ,grid.10346.300000 0001 0745 8880Carnegie Applied Rugby Research (CARR) Centre, Institute for Sport, Physical Activity and Leisure, Carnegie School of Sport, Leeds Beckett University, Leeds, UK
| | - Steve Barrett
- Department of Sport Science Innovation, Playermaker, London, UK
| | - Ric Lovell
- grid.1029.a0000 0000 9939 5719School of Health Sciences, Western Sydney University, Sydney, NSW Australia
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30
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Naughton M, McLean S, Scott TJ, Weaving D, Solomon C. Quantifying Fatigue in the Rugby Codes: The Interplay Between Collision Characteristics and Neuromuscular Performance, Biochemical Measures, and Self-Reported Assessments of Fatigue. Front Physiol 2021; 12:711634. [PMID: 34776996 PMCID: PMC8586499 DOI: 10.3389/fphys.2021.711634] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 09/30/2021] [Indexed: 11/25/2022] Open
Abstract
Locomotor and collision actions that rugby players complete during match-play often lead to substantial fatigue, and in turn, delays in recovery. The methods used to quantify post-match fatigue and recovery can be categorised as subjective and objective, with match-related collision characteristics thought to have a primary role in modulating these recovery measures. The aim of this review was to (1) evaluate how post-match recovery has been quantified in the rugby football codes (i.e., rugby league, rugby union, and rugby sevens), (2) to explore the time-course of commonly used measures of fatigue post-match, and (3) to investigate the relationships between game-related collisions and fatigue metrics. The available evidence suggests that upper-, and lower-body neuromuscular performance are negatively affected, and biomarkers of muscular damage and inflammation increase in the hours and days following match-play, with the largest differences being at 12–36 h post-match. The magnitude of such responses varies within and between neuromuscular performance (Δ ≤ 36%, n = 13 studies) and tissue biomarker (Δ ≤ 585%, n = 18 studies) measures, but nevertheless appears strongly related to collision frequency and intensity. Likewise, the increase in perceived soreness in the hours and days post-match strongly correlate to collision characteristics across the rugby football codes. Within these findings, there are specific differences in positional groups and recovery trajectories between the codes which relate to athlete characteristics, and/or locomotor and collision characteristics. Finally, based on these findings, we offer a conceptual model of fatigue which details the multidimensional latent structure of the load to fatigue relationship contextualised to rugby. Research to date has been limited to univariate associations to explore relationships between collision characteristics and recovery, and multivariate methods are necessary and recommended to account for the latent structures of match-play external load and post-match fatigue constructs. Practitioners should be aware of the typical time windows of fatigue recovery and utilise both subjective and objective metrics to holistically quantify post-match recovery in rugby.
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Affiliation(s)
- Mitchell Naughton
- School of Health and Behavioural Sciences, University of the Sunshine Coast, Sippy Downs, QLD, Australia.,Centre for Human Factors and Sociotechnical Systems, University of the Sunshine Coast, Sippy Downs, QLD, Australia
| | - Scott McLean
- Centre for Human Factors and Sociotechnical Systems, University of the Sunshine Coast, Sippy Downs, QLD, Australia
| | - Tannath J Scott
- New South Wales Rugby League, Sydney Olympic Park, NSW, Australia.,Carnegie Applied Rugby Research Centre, Leeds Beckett University, Leeds, United Kingdom
| | - Dan Weaving
- Carnegie Applied Rugby Research Centre, Leeds Beckett University, Leeds, United Kingdom.,Leeds Rhinos Rugby League Club, Leeds, United Kingdom
| | - Colin Solomon
- School of Health and Behavioural Sciences, University of the Sunshine Coast, Sippy Downs, QLD, Australia.,Centre for Human Factors and Sociotechnical Systems, University of the Sunshine Coast, Sippy Downs, QLD, Australia
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31
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Managing the Training Process in Elite Sports: From Descriptive to Prescriptive Data Analytics. Int J Sports Physiol Perform 2021; 16:1719-1723. [PMID: 34686619 DOI: 10.1123/ijspp.2020-0958] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Revised: 07/08/2021] [Accepted: 08/01/2021] [Indexed: 11/18/2022]
Abstract
Elite sport practitioners increasingly use data to support training process decisions related to athletes' health and performance. A careful application of data analytics is essential to gain valuable insights and recommendations that can guide decision making. In business organizations, data analytics are developed based on conceptual data analytics frameworks. The translation of such a framework to elite sport may benefit the use of data to support training process decisions. Purpose: The authors aim to present and discuss a conceptual data analytics framework, based on a taxonomy used in business analytics literature to help develop data analytics within elite sport organizations. Conclusions: The presented framework consists of 4 analytical steps structured by value and difficulty/complexity. While descriptive (step 1) and diagnostic analytics (step 2) focus on understanding the past training process, predictive (step 3) and prescriptive analytics (step 4) provide more guidance in planning the future. Although descriptive, diagnostic, and predictive analytics generate insights to inform decisions, prescriptive analytics can be used to drive decisions. However, the application of this type of advanced analytics is still challenging in elite sport. Thus, the current use of data in elite sport is more focused on informing decisions rather than driving them. The presented conceptual framework may help practitioners develop their analytical reasoning by providing new insights and guidance and may stimulate future collaborations between practitioners, researchers, and analytics experts.
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32
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Jeffries AC, Marcora SM, Coutts AJ, Wallace L, McCall A, Impellizzeri FM. Development of a Revised Conceptual Framework of Physical Training for Use in Research and Practice. Sports Med 2021; 52:709-724. [PMID: 34519982 DOI: 10.1007/s40279-021-01551-5] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/25/2021] [Indexed: 01/26/2023]
Abstract
A conceptual framework has a central role in the scientific process. Its purpose is to synthesize evidence, assist in understanding phenomena, inform future research and act as a reference operational guide in practical settings. We propose an updated conceptual framework intended to facilitate the validation and interpretation of physical training measures. This revised conceptual framework was constructed through a process of qualitative analysis involving a synthesis of the literature, analysis and integration with existing frameworks (Banister and PerPot models). We identified, expanded, and integrated four constructs that are important in the conceptualization of the process and outcomes of physical training. These are: (1) formal introduction of a new measurable component 'training effects', a higher-order construct resulting from the combined effect of four possible responses (acute and chronic, positive and negative); (2) explanation, clarification and examples of training effect measures such as performance, physiological, subjective and other measures (cognitive, biomechanical, etc.); (3) integration of the sport performance outcome continuum (from performance improvements to overtraining); (4) extension and definition of the network of linkages (uni and bidirectional) between individual and contextual factors and other constructs. Additionally, we provided constitutive and operational definitions, and examples of theoretical and practical applications of the framework. These include validation and conceptualization of constructs (e.g., performance readiness), and understanding of higher-order constructs, such as training tolerance, when monitoring training to adapt it to individual responses and effects. This proposed conceptual framework provides an overarching model that may help understand and guide the development, validation, implementation and interpretation of measures used for athlete monitoring.
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Affiliation(s)
- Annie C Jeffries
- Faculty of Health, Human Performance Research Centre, University of Technology Sydney, Sydney, NSW, Australia.
| | - Samuele M Marcora
- Endurance Research Group, School of Sport and Exercise Sciences, University of Kent, Canterbury, UK.,Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, Bologna, Italy
| | - Aaron J Coutts
- Faculty of Health, Human Performance Research Centre, University of Technology Sydney, Sydney, NSW, Australia
| | - Lee Wallace
- Faculty of Health, Human Performance Research Centre, University of Technology Sydney, Sydney, NSW, Australia
| | - Alan McCall
- Faculty of Health, Human Performance Research Centre, University of Technology Sydney, Sydney, NSW, Australia.,Arsenal Performance and Research Team, Arsenal Football Club, London, UK
| | - Franco M Impellizzeri
- Faculty of Health, Human Performance Research Centre, University of Technology Sydney, Sydney, NSW, Australia
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33
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Noor D, McCall A, Jones M, Duncan C, Ehrmann F, Meyer T, Duffield R. Perceived load, fatigue and recovery responses during congested and non-congested micro-cycles in international football tournaments. J Sci Med Sport 2021; 24:1278-1283. [PMID: 34452841 DOI: 10.1016/j.jsams.2021.07.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2021] [Revised: 05/23/2021] [Accepted: 07/04/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVES To describe the perceived load, fatigue and recovery profiles during congested and non-congested schedules in international football tournaments. DESIGN Retrospective single-cohort observational study. METHODS Internal load (session-rating of perceived exertion [s-RPE]) and perceived ratings of fatigue, muscle soreness, psychological status, sleep quality, and sleep duration were recorded daily from 37 national team footballers during the competition phase of 3 international tournaments. ANOVA and Effect Size (ES) analyses compared individualised internal load and perceived response profiles between congested and non-congested acute 2-match schedules. Conditions included Acute Congestion (≤4 days between two matches), Non-Congestion (>4 days between two matches), Single-Match, and No-Match. RESULTS Significantly higher s-RPE match loads (p < 0.001) within the single- and multi-match conditions resulted in significantly worsened (p < 0.05) subjective ratings of perceived fatigue, muscle soreness and sleep duration in the 24-48 h post-match. Internal load profiles were not different between the Acute-Congestion or Non-congestion conditions (p > 0.05); though Acute-Congestion had significantly worsened pre-match subjective ratings compared to Non-Congestion on both MD1 (p = 0.040; ES = 0.94) and MD2 (p = 0.033; ES = 0.94). However, between-match differences in Acute-Congestion showed no further impairments in perceived response between the first and second matches (p > 0.05). CONCLUSIONS During international tournaments, internal load and perceived fatigue/recovery profiles are largely determined by their exposure (or lack thereof) to match-play. Periods of acute match congestion impaired players pre-match perceived status when compared to non-congested microcycles. However, acute match congestion does not appear to exacerbate players post-match fatigue/recovery response within the context of international football tournaments.
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Affiliation(s)
- Denny Noor
- Institute of Sports and Preventive Medicine, Saarland University, Germany; School of Sport, Exercise and Rehabilitation, Faculty of Health, University of Technology Sydney, Australia.
| | - Alan McCall
- Medical Department, Football Australia, Australia; Faculty of Health, Life & Social Sciences, Research Department for Sports and Exercise Science, Edinburgh Napier University, UK; Arsenal Performance and Research Team, Arsenal Football Club, UK
| | - Mark Jones
- Medical Department, Football Australia, Australia
| | - Craig Duncan
- School of Behavioural & Health Sciences, Australian Catholic University, Australia
| | | | - Tim Meyer
- Institute of Sports and Preventive Medicine, Saarland University, Germany
| | - Rob Duffield
- School of Sport, Exercise and Rehabilitation, Faculty of Health, University of Technology Sydney, Australia; Medical Department, Football Australia, Australia
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34
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Ramírez-López C, Till K, Weaving D, Boyd A, Peeters A, Beasley G, Bradley S, Giuliano P, Venables C, Jones B. Does perceived wellness influence technical-tactical match performance? A study in youth international rugby using partial least squares correlation analysis. Eur J Sport Sci 2021; 22:1085-1093. [PMID: 34075847 DOI: 10.1080/17461391.2021.1936195] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
The purpose of this study was to determine the relationship between matchday wellness status and a technical-tactical performance construct during rugby match-play. One hundred and thirty-three male rugby union players (73 forwards and 60 backs) from five under-18 national squads who participated in the under-18 Six Nations competition completed a subjective wellness questionnaire on each matchday morning. Players subjectively rated each item (sleep quality, fatigue, muscle soreness, stress and mood) on a five-point Likert scale to calculate their daily wellness status (i.e. difference between matchday and baseline perceived wellness). Technical-tactical performance during match-play was quantified by coding individual key performance indicators (e.g. number of carries, number of tackles). Partial least squares correlation analysis (PLSCA) was employed to compute the latent variables of perceived wellness status (X matrix) and technical-tactical performance (Y matrix) for each player observation (n = 271). The latent variables are a construct of each variable group, enabling higher dimensional data to be visualised more simply. Linear mixed-effect models were later conducted to assess the relationships between the latent variables. The effect of perceived wellness status on technical-tactical performance was statistically significant in forwards (p = .042), not statistically significant in backs (p = .120) and accounted for 4.9% and 1.9% variance in the technical-tactical performance construct, respectively. The findings of this study suggest that perceived wellness status can influence technical-tactical match performance, but the practical significance of these findings should be interpreted with caution given the amount of variance in technical-tactical performance accounted by the models.
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Affiliation(s)
- Carlos Ramírez-López
- Leeds Beckett University, Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds, UK.,Yorkshire Carnegie Rugby Union Club, Leeds, UK.,England Performance Unit, The Rugby Football League, Leeds, UK
| | - Kevin Till
- Leeds Beckett University, Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds, UK.,Leeds Rhinos Rugby League Club, Leeds, UK
| | - Dan Weaving
- Leeds Beckett University, Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds, UK.,Leeds Rhinos Rugby League Club, Leeds, UK
| | - Andy Boyd
- Scottish Rugby Union, Murrayfield Stadium, Edinburgh, UK
| | - Alexis Peeters
- French Rugby Federation, Centre National de Rugby, Marcoussis, France
| | - Grant Beasley
- Rugby Football Union, Twickenham Stadium, London, UK
| | - Sam Bradley
- Welsh Rugby Union, Principality Stadium, Cardiff, UK.,English Institute of Sport, Manchester, UK
| | | | - Charlie Venables
- Leeds Beckett University, Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds, UK
| | - Ben Jones
- Leeds Beckett University, Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds, UK.,England Performance Unit, The Rugby Football League, Leeds, UK.,Leeds Rhinos Rugby League Club, Leeds, UK.,School of Science and Technology, University of New England, Armidale, Australia.,Division of Exercise Science and Sports Medicine, Department of Human Biology, Faculty of Health Sciences, the University of Cape Town and the Sports Science Institute of South Africa, Cape Town, South Africa
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35
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Duggan JD, Moody JA, Byrne PJ, Cooper SM, Ryan L. Training Load Monitoring Considerations for Female Gaelic Team Sports: From Theory to Practice. Sports (Basel) 2021; 9:84. [PMID: 34198880 PMCID: PMC8229966 DOI: 10.3390/sports9060084] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 06/02/2021] [Accepted: 06/03/2021] [Indexed: 01/21/2023] Open
Abstract
Athlete monitoring enables sports science practitioners to collect information to determine how athletes respond to training loads (TL) and the demands of competition. To date, recommendations for females are often adapted from their male counterparts. There is currently limited information available on TL monitoring in female Gaelic team sports in Ireland. The collection and analysis of female athlete monitoring data can provide valuable information to support the development of female team sports. Athletic monitoring can also support practitioners to help minimize risk of excessive TL and optimize potential athletic performance. The aims of this narrative review are to provide: (i) an overview of TL athlete monitoring in female team sports, (ii) a discussion of the potential metrics and tools used to monitor external TL and internal TL, (iii) the advantages and disadvantages of TL modalities for use in Gaelic team sports, and (iv) practical considerations on how to monitor TL to aid in the determination of meaningful change with female Gaelic team sports athletes.
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Affiliation(s)
- John D. Duggan
- Department of Sports, Exercise & Nutrition, Galway Mayo Institute of Technology, Galway Campus, Dublin Road, H91 T8NW Galway, Ireland;
- School of Sport and Health Sciences (Sport), Cardiff Metropolitan University, Cyncoed Campus, Cardiff CF23 6XD, UK; (J.A.M.); (P.J.B.); (S.-M.C.)
| | - Jeremy A. Moody
- School of Sport and Health Sciences (Sport), Cardiff Metropolitan University, Cyncoed Campus, Cardiff CF23 6XD, UK; (J.A.M.); (P.J.B.); (S.-M.C.)
| | - Paul J. Byrne
- School of Sport and Health Sciences (Sport), Cardiff Metropolitan University, Cyncoed Campus, Cardiff CF23 6XD, UK; (J.A.M.); (P.J.B.); (S.-M.C.)
- Department of Science and Health, Institute of Technology Carlow, R93 V960 Carlow, Ireland
| | - Stephen-Mark Cooper
- School of Sport and Health Sciences (Sport), Cardiff Metropolitan University, Cyncoed Campus, Cardiff CF23 6XD, UK; (J.A.M.); (P.J.B.); (S.-M.C.)
| | - Lisa Ryan
- Department of Sports, Exercise & Nutrition, Galway Mayo Institute of Technology, Galway Campus, Dublin Road, H91 T8NW Galway, Ireland;
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36
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Campbell PG, Stewart IB, Sirotic AC, Drovandi C, Foy BH, Minett GM. Analysing the predictive capacity and dose-response of wellness in load monitoring. J Sports Sci 2021; 39:1339-1347. [PMID: 33404378 DOI: 10.1080/02640414.2020.1870303] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
This study aimed to identify the predictive capacity of wellness questionnaires on measures of training load using machine learning methods. The distributions of, and dose-response between, wellness and other load measures were also examined, offering insights into response patterns. Data (n= 14,109) were collated from an athlete management systems platform (Catapult Sports, Melbourne, Australia) and were split across three sports (cricket, rugby league and football) with data analysis conducted in R (Version 3.4.3). Wellness (sleep quality, readiness to train, general muscular soreness, fatigue, stress, mood, recovery rating and motivation) as the dependent variable, and sRPE, sRPE-TL and markers of external load (total distance and m.min-1) as independent variables were included for analysis. Classification and regression tree models showed high cross-validated error rates across all sports (i.e., > 0.89) and low model accuracy (i.e., < 5% of variance explained by each model) with similar results demonstrated using random forest models. These results suggest wellness items have limited predictive capacity in relation to internal and external load measures. This result was consistent despite varying statistical approaches (regression, classification and random forest models) and transformation of wellness scores. These findings indicate practitioners should exercise caution when interpreting and applying wellness responses.
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Affiliation(s)
- Patrick G Campbell
- School of Exercise and Nutrition Sciences, Queensland University of Technology, Kelvin Grove, Australia.,Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, Australia
| | - Ian B Stewart
- School of Exercise and Nutrition Sciences, Queensland University of Technology, Kelvin Grove, Australia.,Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, Australia
| | | | - Christopher Drovandi
- School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia.,Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers, Brisbane, Australia
| | - Brody H Foy
- Center for Systems Biology and Department of Pathology, Massachusetts General Hospital, Boston, MA, USA.,Department of Systems Biology, Harvard Medical School, Boston, MA, USA
| | - Geoffrey M Minett
- School of Exercise and Nutrition Sciences, Queensland University of Technology, Kelvin Grove, Australia.,Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove, Australia
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