Abstract:During competitive match play, a degree of positional variation can be observed across QTRs. The relative distance and the number of accelerations and decelerations at moderate and high intensity decreased across QTRs. No between-QTRs differences in high-speed activity were reported.
“…The characteristics of the 19 included studies are summarised in Table 3. One study investigated American Football [42], two Australian Football [43, 44], one hockey [18], four rugby league [29, 45–47], three rugby sevens [36, 48, 49], two rugby union [41, 50] and six soccer [10, 16, 17, 19, 20, 51]. Across all seven team sports investigated, the total sample included 469 players with a mean age ranging from 18 to 29 years.…”
Section: Resultsmentioning
confidence: 99%
“…The greatest amount of uncertainty (65%) was in the data processing domain, as only eight studies [17, 19, 20, 36, 43, 46–48] reported the MED. The lowest risk of bias (35% low RoB) was the normative profile domain, in which nearly half (45%, n = 9) of the studies [16, 18, 41–44, 46, 48, 50, 51] used greater than ten matches in total, and over half (60%, n = 12) of the studies [18, 20, 29, 42–47, 50, 51] reported position-specific acceleration and deceleration data. The number of matches used to characterise the average high-intensity acceleration and deceleration demands ranged between 1 and 42.Fig.…”
Section: Resultsmentioning
confidence: 99%
“…As the ability to decelerate at high intensity can also influence a player’s change of direction performance [82], these actions may have particular importance to hockey match-play performance outcomes. Furthermore, both high-intensity accelerations and decelerations have been shown to be the match-activity variables most sensitive to fatigue development during hockey match play [18]. Performance advantages could therefore be obtained by strategies that help to increase and maintain players’ capacity to both accelerate and decelerate rapidly throughout match play.…”
Section: Discussionmentioning
confidence: 99%
“…If the mean, standard deviation (SD) and number of data files could not be obtained from published records, the corresponding authors [17, 18, 20, 36] were contacted (via e-mail, social media) for further information. If the corresponding authors could not provide data for the full match, but periods of play had been reported (first and second half), then the full match mean and SD were calculated using the formula for combining group data as recommended in the Cochrane guidelines [27]:where N equals the number of data files and M equals the mean number of accelerations or decelerations for each group.…”
Section: Methodsmentioning
confidence: 99%
“…Combined means and SDs were only used for one study [18] that reported relative acceleration and deceleration events (i.e. per minute).…”
Background The external movement loads imposed on players during competitive team sports are commonly measured using global positioning system devices. Information gleaned from analyses is employed to calibrate physical conditioning and injury prevention strategies with the external loads imposed during match play. Intense accelerations and decelerations are considered particularly important indicators of external load. However, to date, no prior meta-analysis has compared high and very high intensity acceleration and deceleration demands in elite team sports during competitive match play. Objective The objective of this systematic review and meta-analysis was to quantify and compare high and very high intensity acceleration vs. deceleration demands occurring during competitive match play in elite team sport contexts. Methods A systematic review of four electronic databases (CINAHL, MEDLINE, SPORTDiscus, Web of Science) was conducted to identify peer-reviewed articles published between January 2010 and April 2018 that had reported higher intensity (> 2.5 m•s −2) accelerations and decelerations concurrently in elite team sports competitive match play. A Boolean search phrase was developed using key words synonymous to team sports (population), acceleration and deceleration (comparators) and match play (outcome). Articles only eligible for meta-analysis were those that reported either or both high (> 2.5 m•s −2) and very high (> 3.5 m•s −2) intensity accelerations and decelerations concurrently using global positioning system devices (sampling rate: ≥ 5 Hz) during elite able-bodied (mean age: ≥ 18 years) team sports competitive match play (match time: ≥ 75%). Separate inverse random-effects meta-analyses were conducted to compare: (1) standardised mean differences (SMDs) in the frequency of high and very high intensity accelerations and decelerations occurring during match play, and (2) SMDs of temporal changes in high and very high intensity accelerations and decelerations across first and second half periods of match play. Using recent guidelines recommended for the collection, processing and reporting of global positioning system data, a checklist was produced to help inform a judgement about the methodological limitations (risk of detection bias) aligned to 'data collection', 'data processing' and 'normative profile' for each eligible study. For each study, each outcome was rated as either 'low', 'unclear' or 'high' risk of bias. Results A total of 19 studies met the eligibility criteria, comprising seven team sports including American Football (n = 1), Australian Football (n = 2), hockey (n = 1), rugby league (n = 4), rugby sevens (n = 3), rugby union (n = 2) and soccer (n = 6) with a total of 469 male participants (mean age: 18-29 years). Analysis showed only American Football reported a greater frequency of high (SMD = 1.26; 95% confidence interval [CI] 1.06-1.43) and very high (SMD = 0.19; 95% CI − 0.42 to 0.80) intensity accelerations compared to decelerations. All other sports had a greater frequency of h...
“…The characteristics of the 19 included studies are summarised in Table 3. One study investigated American Football [42], two Australian Football [43, 44], one hockey [18], four rugby league [29, 45–47], three rugby sevens [36, 48, 49], two rugby union [41, 50] and six soccer [10, 16, 17, 19, 20, 51]. Across all seven team sports investigated, the total sample included 469 players with a mean age ranging from 18 to 29 years.…”
Section: Resultsmentioning
confidence: 99%
“…The greatest amount of uncertainty (65%) was in the data processing domain, as only eight studies [17, 19, 20, 36, 43, 46–48] reported the MED. The lowest risk of bias (35% low RoB) was the normative profile domain, in which nearly half (45%, n = 9) of the studies [16, 18, 41–44, 46, 48, 50, 51] used greater than ten matches in total, and over half (60%, n = 12) of the studies [18, 20, 29, 42–47, 50, 51] reported position-specific acceleration and deceleration data. The number of matches used to characterise the average high-intensity acceleration and deceleration demands ranged between 1 and 42.Fig.…”
Section: Resultsmentioning
confidence: 99%
“…As the ability to decelerate at high intensity can also influence a player’s change of direction performance [82], these actions may have particular importance to hockey match-play performance outcomes. Furthermore, both high-intensity accelerations and decelerations have been shown to be the match-activity variables most sensitive to fatigue development during hockey match play [18]. Performance advantages could therefore be obtained by strategies that help to increase and maintain players’ capacity to both accelerate and decelerate rapidly throughout match play.…”
Section: Discussionmentioning
confidence: 99%
“…If the mean, standard deviation (SD) and number of data files could not be obtained from published records, the corresponding authors [17, 18, 20, 36] were contacted (via e-mail, social media) for further information. If the corresponding authors could not provide data for the full match, but periods of play had been reported (first and second half), then the full match mean and SD were calculated using the formula for combining group data as recommended in the Cochrane guidelines [27]:where N equals the number of data files and M equals the mean number of accelerations or decelerations for each group.…”
Section: Methodsmentioning
confidence: 99%
“…Combined means and SDs were only used for one study [18] that reported relative acceleration and deceleration events (i.e. per minute).…”
Background The external movement loads imposed on players during competitive team sports are commonly measured using global positioning system devices. Information gleaned from analyses is employed to calibrate physical conditioning and injury prevention strategies with the external loads imposed during match play. Intense accelerations and decelerations are considered particularly important indicators of external load. However, to date, no prior meta-analysis has compared high and very high intensity acceleration and deceleration demands in elite team sports during competitive match play. Objective The objective of this systematic review and meta-analysis was to quantify and compare high and very high intensity acceleration vs. deceleration demands occurring during competitive match play in elite team sport contexts. Methods A systematic review of four electronic databases (CINAHL, MEDLINE, SPORTDiscus, Web of Science) was conducted to identify peer-reviewed articles published between January 2010 and April 2018 that had reported higher intensity (> 2.5 m•s −2) accelerations and decelerations concurrently in elite team sports competitive match play. A Boolean search phrase was developed using key words synonymous to team sports (population), acceleration and deceleration (comparators) and match play (outcome). Articles only eligible for meta-analysis were those that reported either or both high (> 2.5 m•s −2) and very high (> 3.5 m•s −2) intensity accelerations and decelerations concurrently using global positioning system devices (sampling rate: ≥ 5 Hz) during elite able-bodied (mean age: ≥ 18 years) team sports competitive match play (match time: ≥ 75%). Separate inverse random-effects meta-analyses were conducted to compare: (1) standardised mean differences (SMDs) in the frequency of high and very high intensity accelerations and decelerations occurring during match play, and (2) SMDs of temporal changes in high and very high intensity accelerations and decelerations across first and second half periods of match play. Using recent guidelines recommended for the collection, processing and reporting of global positioning system data, a checklist was produced to help inform a judgement about the methodological limitations (risk of detection bias) aligned to 'data collection', 'data processing' and 'normative profile' for each eligible study. For each study, each outcome was rated as either 'low', 'unclear' or 'high' risk of bias. Results A total of 19 studies met the eligibility criteria, comprising seven team sports including American Football (n = 1), Australian Football (n = 2), hockey (n = 1), rugby league (n = 4), rugby sevens (n = 3), rugby union (n = 2) and soccer (n = 6) with a total of 469 male participants (mean age: 18-29 years). Analysis showed only American Football reported a greater frequency of high (SMD = 1.26; 95% confidence interval [CI] 1.06-1.43) and very high (SMD = 0.19; 95% CI − 0.42 to 0.80) intensity accelerations compared to decelerations. All other sports had a greater frequency of h...
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