Heart rate response to game load of U19 female basketball players

Vencúrik, Tomáš; Nykodým, Jiří; Struhár, Ivan

doi:10.14198/jhse.2015.10.proc1.33

Cited by 4 publications

(2 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…the traditional definition of minutes played). This review identified a wide range of methods used to determine training duration in basketball, and a significant number of studies (n = 24) that failed to report how duration was defined and calculated [32,49,52,66,69,71,72,75,84,[92][93][94][95][96][97][98][99][100][101][102][103][104][105][106]. A commonly used description of duration methodology in basketball was defined in 1995 by McInnes et al [47], where total time was calculated as "all of the time that the subject was on the court, including all stoppages in play such as time-outs, free-throws and out-of-bounds, but excluding breaks between quarters, or time that the subject was substituted out of the game" [47].…”

Section: Methodology For Quantifying Durationmentioning

confidence: 99%

Measuring Physical Demands in Basketball: An Explorative Systematic Review of Practices

et al. 2020

View full text Add to dashboard Cite

Background Measuring the physical work and resultant acute psychobiological responses of basketball can help to better understand and inform physical preparation models and improve overall athlete health and performance. Recent advancements in training load monitoring solutions have coincided with increases in the literature describing the physical demands of basketball, but there are currently no reviews that summarize all the available basketball research. Additionally, a thorough appraisal of the load monitoring methodologies and measures used in basketball is lacking in the current literature. This type of critical analysis would allow for consistent comparison between studies to better understand physical demands across the sport. Objectives The objective of this systematic review was to assess and critically evaluate the methods and technologies used for monitoring physical demands in competitive basketball athletes. We used the term 'training load' to encompass the physical demands of both training and game activities, with the latter assumed to provide a training stimulus as well. This review aimed to critique methodological inconsistencies, establish operational definitions specific to the sport, and make recommendations for basketball training load monitoring practice and reporting within the literature. Methods A systematic review of the literature was performed using EBSCO, PubMed, SCOPUS, and Web of Science to identify studies through March 2020. Electronic databases were searched using terms related to basketball and training load. Records were included if they used a competitive basketball population and incorporated a measure of training load. This systematic review was registered with the International Prospective Register of Systematic Reviews (PROSPERO Registration # CRD42019123603), and approved under the National Basketball Association (NBA) Health Related Research Policy. Results Electronic and manual searches identified 122 papers that met the inclusion criteria. These studies reported the physical demands of basketball during training (n = 56), competition (n = 36), and both training and competition (n = 30). Physical demands were quantified with a measure of internal training load (n = 52), external training load (n = 29), or both internal and external measures (n = 41). These studies examined males (n = 76), females (n = 34), both male and female (n = 9), and a combination of youth (i.e. under 18 years, n = 37), adults (i.e. 18 years or older, n = 77), and both adults and youth (n = 4). Inconsistencies related to the reporting of competition level, methodology for recording duration, participant inclusion criteria, and validity of measurement systems were identified as key factors relating to the reporting of physical demands in basketball and summarized for each study. Conclusions This review comprehensively evaluated the current body of literature related to training load monitoring in basketball. Within this literature, there is a clear lack of alignment in applied practices and metho...

show abstract

Section: Methodology For Quantifying Durationmentioning

confidence: 99%

Measuring Physical Demands in Basketball: An Explorative Systematic Review of Practices

et al. 2020

View full text Add to dashboard Cite

show abstract

“…A similar decline had been reported in other studies. 30,46 The lack of significant difference between the two halves of the game for forwards is however supported by Vencurik et al 51 who witnessed no changes between certain positions physiological demands across the two halves of a female basketball match.…”

Section: Heart Rate Intensitiesmentioning

confidence: 97%

Heart Rate Intensity in Female Footballers and its Effect on Playing Position based on External Workload

Mills¹,

Eglon²

2018

Sport Exerc Med Open J

View full text Add to dashboard Cite

The purpose of the study was to examine the physiological external workload, of amateur female footballers, across varying heart rate intensities, as well as, interpret fatigue between each half of the Soccer-Specific Aerobic Field Test (SAFT 90) protocol. Methods A sample of n=24 amateur female football players (mean±SD; age: 20.7±4.0 years; stretched stature=165.6±5.8 cm, body mass=58.1±4.7 kg) were recruited during the 2016/2017 competitive season. Maximum heart rate (HR max) values were determined using the Yo-Yo intermittent recovery level 1 (Yo-Yo IR Level 1) with the SAFT 90 protocol used to interpret the physiological and mechanical demands displayed during football match. A one-way analysis of variance was applied to determine the differences between each position (defenders, midfielders, and forwards) with the level of significance set at alpha level p<0.05. Results There were statistically significant differences between each position and total external workload (F(df:23)=9.156; (p<0.05), in addition to average heart rate (HR) across 90-minutes (F(df:23)=22.317; (p<0.05). Statistical significance determined differences between each position and the duration of time spent within the prescribed HR intensity zones, including zone 1 (<70% HR max), zone 2(70-85% HR max) and zone 4(90-95% HR max) across the SAFT 90. The total distance all players completed across the 90-minutes was 10913.7±1076.7 m, whereas the shortest external workload (10020.4±1086.6 m) was completed by defenders and largest (11781.9±324.7 m) by midfielders. The average heart rate of all player's was 161.1±14.7 bpm-1 resulting in a mean intensity of representing 81% HR max. Conclusion Midfielders spent the largest proportion of time between zone 2 and zone 4. Based on these results, coaches are able to determine which type of physiological profile is needed for a specific position and use this information to design specifically prescribed training programmes to maximise the fitness development.

show abstract