Peak External Intensity Decreases across Quarters during Basketball Games

Fox, Jordan L.; Salazar, Hugo; García, Franc; Scanlan, Aaron T.

doi:10.26773/mjssm.210304

Cited by 11 publications

(26 citation statements)

References 16 publications

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“…Alternatively, the fact that players with more playing time before each PD episode achieved lower peak activity outputs may have been influenced by non-fatigue-related factors. For example, the PD accomplished by players may depend on the team lineup used when they are active in the game due to variations in player capacities (Alonso et al, 2020), team cohesion, and tactical approaches, as well as the stage of the game in which they are competing (e.g., game pace may decline during latter periods) (Fox, Salazar, et al, 2020; García et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

“…PDs were calculated for each variable in each quarter in each game for each player across 30-s, 45-s, 1-min, 2-min, and 5-min windows. These time windows were chosen given they have been identified as the most practical to consider in basketball (Alonso et al, 2020; Fox, Salazar, et al, 2020; Vázquez-Guerrero et al, 2020).…”

Section: Methodsmentioning

confidence: 99%

“…In turn, the peak demand (PD), defined as the most intense activity experienced by players for a selected variable across a specified timeframe of interest (Alonso et al, 2020), has been quantified in basketball players using many external variables (e.g., PlayerLoad, distance, accelerations, and decelerations) and time windows (e.g. 30 s, 45 s, 1 min, 5 min, and 10 min) (Alonso et al, 2020; Fox, Conte, et al, 2020; Fox, Salazar, et al, 2020; Vázquez-Guerrero et al, 2020; Vázquez-Guerrero & Garcia, 2020). In this regard, the impact of different factors on the PD attained by players during basketball games has been explored, including the effects of player position (Alonso et al, 2020; Fox, Conte, et al, 2020), game score-line (Vázquez-Guerrero et al, 2020), and game schedule (Pino-Ortega et al, 2019).…”

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confidence: 99%

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Higher Playing Times Accumulated Across Entire Games and Prior to Intense Passages Reduce the Peak Demands Reached by Elite, Junior, Male Basketball Players

et al. 2021

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The aim of this study was to analyze the effects of different factors on the external peak demands (PD) encountered by elite, junior, male basketball players in games, including the (1) total playing time during games and (2) playing time accumulated directly prior to each PD episode. Workload variables included the PD for total distance, distance covered in different intensity zones, accelerations >2 m·s-2 (ACC), decelerations <-2 m·s-2 (DEC), and PlayerLoad. PD were calculated across different sample durations for each variable. Linear mixed models were used to identify differences in PD between groups based on playing times. PD for total distance (5-min window), high-speed running (>18 km·h-1) distance (2-min window), and ACC (30-s, 45-s, 1-min, 2-min, and 5-min windows) were significantly ( p < .05) higher for players who completed lower total playing times (16.6 ± 2.4 min) than players who completed higher total playing times (25.0 ± 3.4 min). The PD for total distance (30-s, 45-s, 1-min, and 2-min windows), high-speed running distance (30-s and 5-min windows), and PlayerLoad (1-min and 2-min windows) were significantly ( p < .05) higher for players who accumulated lower playing times before each PD episode than players who accumulated higher playing times before each PD episode. Players who undertake less playing time overall and prior to each PD episode can reach higher peak external loads aggregated across varied time windows. These findings can inform tactical coaching decisions during games for high external loads to be accomplished during important passages of play.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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confidence: 99%

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Higher Playing Times Accumulated Across Entire Games and Prior to Intense Passages Reduce the Peak Demands Reached by Elite, Junior, Male Basketball Players

et al. 2021

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“…Then, analyzing external peak demands (PDs) may provide a different insight. The PD, defined as the most intense activity experienced by players for a selected variable across a specified timeframe of interest ( Alonso et al, 2020 ; Alonso Perez-Chao et al, 2021 ), has been quantified for basketball players using many external load variables (e.g., player load and distance) and time windows (e.g., 1 min and 2 min) ( Fox et al, 2020a ; Alonso et al, 2020 ; Fox et al, 2020b ; Vázquez-Guerrero et al, 2020 ; Vázquez-Guerrero and Garcia 2020 ; Alonso Perez-Chao et al, 2021 ). Additionally, moving average has been proved as the most accurate method to determine the peak intensities ( Cunningham et al, 2018 ).…”

Section: Introductionmentioning

confidence: 99%

“…Concerning fluctuations, research findings carried out in basketball have revealed that average external physical demands decline across games, being higher during the first quarter than the last game quarter or overtime ( Scanlan et al, 2015 ; García et al, 2020 ). According to external PD, a previous study suggested that peak intensities decrease across quarters ( Fox et al, 2020b ). Similarly, the literature related to other sports such as soccer showed higher external PD during the first half compared to the second ( Oliva-Lozano et al, 2020 ; Bradley and Noakes 2013 ).…”

Section: Introductionmentioning

confidence: 99%

Fluctuations in External Peak Demands Across Quarters During Basketball Games

et al. 2022

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The purpose of this study was to compare external peak demands (PDs) across quarters (Q) in basketball. Thirteen elite, junior, male basketball players were monitored using electronic performance tracking systems. There were studied intervals for different time windows to determine the external PD for distance (m); player load; distance covered in four different zones; accelerations; and decelerations. A mixed linear model was run to identify differences among quarters, and the auto-correlation function was carried out to determine fluctuations across the whole game. The results showed significant differences between Q1 vs. Q2 for distance, player load, and standing–walking distance; between Q1 vs. Q3 for distance, player load, and HSR; between Q1 vs. Q4 for distance, player load, standing–walking, and HSR; and between Q3 vs. Q4 for distance and player load. These findings suggest that external PD for running-based demands (distance, player load, and high-speed running) decrease across basketball games with the most notable declines occurring between the first and fourth quarters. Nevertheless, it is important to note that non-significant differences were found between quarters for several external PD variables (jogging, running, acceleration, and deceleration) across different time windows. Findings from the present study reinforce the importance of considering specific PD variables for different functions due to the specific insight each provides.

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