Developing athlete monitoring systems

Coutts, Aaron J.; Crowcroft, Stephen; Kempton, Thomas

doi:10.4324/9781315268149-2

Cited by 33 publications

(27 citation statements)

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“…In addition, moderate to large [ 31 ] standardized mean differences in perceived recovery–stress states were present in the analyzed SRSS items underpinning the appropriateness of the study design. Although self-reported measures could potentially be manipulated by athletes and may have limitations, athlete-reported outcome measures of training response are well established [ 7 , 53 ] and are considered sensitive to increased training load [ 54 ]. It must be acknowledged, however, that we had to change the survey method from a printed to a digital version of the SRSS for reasons of compliance.…”

Section: Discussionmentioning

confidence: 99%

“…Heart rate (HR) monitoring has been well established as an inexpensive, time-efficient, and non-invasive tool in research and practice. Within a comprehensive athlete monitoring system, HR measures can represent valuable information on athletes’ training responses, as they have been proposed to indicate the status of the cardiac autonomic nervous system and cardiovascular fitness [ 1 – 7 ]. However, the various HR measures differ in their physiological determinants and their time course of adaptation, and they display different associations to changes in fitness, fatigue, and performance [ 1 , 8 ].…”

Section: Introductionmentioning

confidence: 99%

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Monitoring training and recovery responses with heart rate measures during standardized warm-up in elite badminton players

et al. 2020

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Purpose To investigate short-term training and recovery-related effects on heart rate during a standardized submaximal running test. Methods Ten elite badminton players (7 females and 3 males) were monitored during a 12-week training period in preparation for the World Championships. Exercise heart rate (HRex) and perceived exertion were measured in response to a 5-min submaximal shuttle-run test during the morning session warm-up. This test was repeatedly performed on Mondays after 1–2 days of pronounced recovery (‘recovered’ state; reference condition) and on Fridays following 4 consecutive days of training (‘strained’ state). In addition, the serum concentration of creatine kinase and urea, perceived recovery–stress states, and jump performance were assessed before warm-up. Results Creatine kinase increased in the strained compared to the recovered state and the perceived recovery–stress ratings decreased and increased, respectively (range of average effects sizes: |d| = 0.93–2.90). The overall HRex was 173 bpm and the observed within-player variability (i.e., standard deviation as a coefficient of variation [CV]) was 1.3% (90% confidence interval: 1.2% to 1.5%). A linear reduction of -1.4% (-3.0% to 0.3%) was observed in HRex over the 12-week observational period. HRex was -1.5% lower (-2.2% to -0.9%) in the strained compared to the recovered state, and the standard deviation (as a CV) representing interindividual variability in this response was 0.7% (-0.6% to 1.2%). Conclusions Our findings suggest that HRex measured during a standardized warm-up can be sensitive to short-term accumulation of training load, with HRex decreasing on average in response to consecutive days of training within repeated preparatory weekly microcycles. From a practical perspective, it seems advisable to determine intra-individual recovery–strain responses by repeated testing, as HRex responses may vary substantially between and within players.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Monitoring training and recovery responses with heart rate measures during standardized warm-up in elite badminton players

et al. 2020

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“…15 Athletic performance is a result of complex psychobiological adaptations which can make it difficult to predict fitness and fatigue in individual athletes. 16 Thus, Coutts et al 16 recommend a multi-dimensional athlete monitoring system that enables coaches to quantify training load measures for each athlete and their fitness and fatigue responses to that training. To monitor these outcomes effectively, coaches must work with sport scientists to critically determine the fundamental components of an athlete monitoring system.…”

Section: Discussionmentioning

confidence: 99%

Using sport science data in collegiate athletics: Coaches’ perspectives

Rauff

Herman

Berninger

et al. 2022

International Journal of Sports Science & Coaching

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Limited research has examined American collegiate coaches’ perceptions of collecting data for informing training practices. The purpose of this study was to examine collegiate coaches’ perspectives and needs for collecting data from their athletes using a qualitative approach. Four focus groups were conducted with NCAA Division I coaches ( N = 13) at a mid-sized liberal arts university. Coaches were asked how they could benefit from collecting data from their athletes, how they would use the data to answer questions about athletes’ performance, what data they would want to collect, and what concerns they had regarding data collection. Principles of thematic analysis were used to analyze the interviews. Most coaches (54%) felt that collecting data would provide evidence needed to support training methodologies, and they would benefit (i.e. make improvements to coaching and athlete training) from monitoring progress in their athletes (61%). Regarding performance questions, coaches were interested in utilizing a biomechanist to conduct movement analyses (23%) and assessing athletes’ mental and emotional states (23%). Coaches wanted to monitor athletes’ fatigue, recovery, mental health states, and health behaviors (i.e. sleep and diet; 15%). Coaches expressed concerns over finding an optimal time to test athletes (8%) and effective presentation of data to athletes (23%) while limiting body composition assessments due to athlete discomfort (15%). Findings from these focus groups suggest that coaches would like to collect data to learn more about athletes’ physical and mental states, but several logistical and practical concerns still exist regarding how to efficiently collect and utilize the data.

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“…Load monitoring in team sports has grown over the last decades (Bourdon et al, 2017). Load monitoring refers to the quantification, analysis and management of training load, and aims at refining the training process for improved training outcomes in terms of players' health and performance (Coutts et al, 2017;Impellizzeri et al, 2019). To understand current application, several studies have described the load monitoring practices in elite men's Association Football (hereafter called football) (Akenhead and Nassis, 2016;Weston, 2018;Houtmeyers et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Load Monitoring Practice in Elite Women Association Football

Luteberget¹,

Houtmeyers²,

Vanrenterghem³

et al. 2021

Front. Sports Act. Living

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The description of current load monitoring practices may serve to highlight developmental needs for both the training ground, academia and related industries. While previous studies described these practices in elite men's football, no study has provided an overview of load monitoring practices in elite women's football. Given the clear organizational differences (i.e., professionalization and infrastructure) between men's and women's clubs, making inferences based on men's data is not appropriate. Therefore, this study aims to provide a first overview of the current load monitoring practices in elite women's football. Twenty-two elite European women's football clubs participated in a closed online survey (40% response rate). The survey consisted of 33 questions using multiple choice or Likert scales. The questions covered three topics; type of data collected and collection purpose, analysis methods, and staff member involvement. All 22 clubs collected data related to different load monitoring purposes, with 18 (82%), 21 (95%), and 22 (100%) clubs collecting external load, internal load, and training outcome data, respectively. Most respondents indicated that their club use training models and take into account multiple indicators to analyse and interpret the data. While sports-science staff members were most involved in the monitoring process, coaching, and sports-medicine staff members also contributed to the discussion of the data. Overall, the results of this study show that most elite women's clubs apply load monitoring practices extensively. Despite the organizational challenges compared to men's football, these observations indicate that women's clubs have a vested interest in load monitoring. We hope these findings encourage future developments within women's football.

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Developing athlete monitoring systems

Cited by 33 publications

References 1 publication

Monitoring training and recovery responses with heart rate measures during standardized warm-up in elite badminton players

Monitoring training and recovery responses with heart rate measures during standardized warm-up in elite badminton players

Using sport science data in collegiate athletics: Coaches’ perspectives

Load Monitoring Practice in Elite Women Association Football

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