The Effects of a Basketball Season on Aerobic and Strength Parameters Among College Men: Starters vs. Reserves

Caterisano, Anthony; Patrick, Brian T.; Edenfield, Wyatt L.; Batson, Michael J.

doi:10.1519/1533-4287(1997)011<0021:teoabs>2.3.co;2

Cited by 26 publications

(36 citation statements)

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“…Aerobic capacity in basketball generally increases during the pre-season phase, before returning to baseline values or remaining unchanged during the competition phase (Bolunchuk, Lukaski, & Siders, 1991;Caterisano, Patrick, Edenfield, & Batson, 1997;Coleman, Kreuzer, Friedrich, & Juvenal, 1974a;Hakkinen, 1993;Hoffman, Fry, Howard, Maresh, & Kraemer, 1991;Hunter, Hilyer, & Foster, 1993;Laplaud , Hug, & Menier, 2004;Petko & Hunter, 1997;Tavino, Bowers, & Archer, 1995), a pattern observed in other team sports (Astorino, Tam, Rietschel, Johnson, & Freedman, 2004;Earnest, 1994;Gabbett, 2005;Gorostiaga Granados, Ibanez, Gonzalez-Badillo, & Izquierdo, 2006;Hakkinen & Sinnemaki, 1991;Koutedakis, 1995). One study of male players reported increased aerobic capacity after a detraining period towards the end of a competition phase compared with the in-season phase (Ciuti et al, 1996).…”

Section: Introductionmentioning

confidence: 94%

Seasonal progression and variability of repeat-effort line-drill performance in elite junior basketball players

Montgomery

Pyne

Hopkins

et al. 2008

Journal of Sports Sciences

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To determine gender differences, positional differences, and patterns of change in the performance of the basketball line-drill test, 93 male (mean age 16.8 years, s = 1.1) and 95 female (mean age 16.5 years, s = 1.0) basketball players undertook 516 line-drill tests over a 5-year period. Log-transformed performance times were analysed using a mixed model that included quadratic within-participant fixed effects for time in the season and time in the programme. Changes and differences were standardized for interpretation of magnitudes. Mean performance times were 28.0 s (s = 1.3) for males and 30.4 s (s = 1.3) for females. The mean pattern of change in performance within a season differed substantially between the sexes and playing positions: male guards and female centres showed moderate to very large improvements mid-season of 1.1% and 3.5% respectively (90% confidence limits +/-2.1% and +/-3.0%), while female guards and male forwards showed large to very large decrements of -1.6% (+/-2.6%) and -2.4% (+/-2.0%). Over 3 years, males improved performance across all three playing positions by 1.4% (+/-1.3%) and females by 2.9% (+/-1.4%). Males improved performance by 0.2% (+/-0.5%) per year, whereas the performance of females deteriorated by 0.6% (+/-0.4%) per year. The differing patterns of performance change presumably reflect variations in training and competition loads, with short-term fluctuations in performance being managed to promote longer-term improvements.

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Section: Introductionmentioning

confidence: 94%

Seasonal progression and variability of repeat-effort line-drill performance in elite junior basketball players

Montgomery

Pyne

Hopkins

et al. 2008

Journal of Sports Sciences

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“…The relationship between the variation in V IFT (delta V IFT ) and RSA parameters (delta TT, delta IT and delta PD) between the pre-and post-tests was tested by Pearson correlation coeffi cient. If no diff erence in the various parameters recorded was shown between SSG and HIT, players when then divided into a "starters" group (n = 9, 5 from HIT and 4 from SSG) and a "bench" group (n = 9, 4 from HIT and 5 from SSG), according to Caterisano et al [ 11 ] 's defi nitions. A mixed-design factorial ANOVA was applied to test the eff ects of time and group on V IFT and RSA parameters.…”

Section: Statistical Analysesmentioning

confidence: 99%

“…Caterisano et al [ 11 ] observed that when no specifi c physical conditioning intervention was undertaken VO 2max was maintained during the season in starting players, but decreased by 10 % in bench players. This, together with our results suggest that extensive playing times during weekly matches help maintain aerobic capacity, but additional physical conditioning during practice sessions is necessary for players with less playing time.…”

Section: Hit Ssgmentioning

confidence: 99%

Small-Sided Game Training Improves Aerobic Capacity and Technical Skills in Basketball Players

Delextrat

Martínez

2013

Int J Sports Med

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The aim of this study was to compare the effects of 2 training interventions based on small-sided games (SGG) and high-intensity interval training (HIT) on physical and technical performance of male junior basketball players. A secondary objective was to investigate if these effects were similar in starting and bench players. 18 players participated in a pre-testing session, 6-weeks intervention period and a post-testing session. Pre- and post-sessions involved assessments of aerobic fitness, repeated sprint ability (RSA), defensive and offensive agility, upper and lower body power, shooting and passing skills. Mixed-design analysis of variance (ANOVA) with Bonferroni corrected pairwise comparisons examined the effects of time and type of intervention on physical and technical performances. The main results showed that both interventions resulted in similar improvements in aerobic capacity (+3.4% vs. +4.1%), with greater improvements in bench players compared to starting players (+7.1% vs. +1.1%, P<0.05). However, RSA was unchanged after both interventions. In addition, compared to HIT, SSG resulted in greater improvements in defensive agility (+4.5% vs. -2.7%, P<0.05), shooting skills (+7.4% vs. -2.4%, P<0.05) and upper body power (+7.9% vs. -2.0%, P<0.05). These results suggest that SSG should be prioritized in physical conditioning of junior basketball players during the season. However, when RSA is targeted, more specific training seems necessary.

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“…In this context, a precise knowledge of training and competition effects on the players is paramount for appropriate training periodization. Furthermore, in a basketball team, the individualization principle of training should also consider the specific roles linked to each playing position (5) and the competition playing time (PT) (7). In particular, these 2 factors are essential to prescribe the most appropriate intervention(s) to mitigate the possible negative effects of training and competition: adjusting workouts to improve the recovery processes or to compensate for the lack of stimuli.…”

Section: Introductionmentioning

confidence: 99%

Using Testosterone and Cortisol as Biomarker for Training Individualization in Elite Basketball

Schelling

Calleja-González

Torres-Ronda

et al. 2015

Journal of Strength and Conditioning Research

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The purpose of this study was to determine the responses of testosterone and cortisol, with special reference to playing positions, playing time (PT), and phase of the season. We performed a follow-up study during 4 consecutive seasons to investigate the effects of PT, positional role, and phase of the season on anabolic-catabolic biomarkers (plasma total testosterone -TT- and cortisol -C-) on 20 professional male basketball players (27.0 ± 4.2 years; 24.4 ± 1.2 kg·m). First blood samples were collected right after the off-season period and considered as baseline. Samples were taken periodically every 4-6 weeks, always after a 24- to 36-hour break after the last game played. Statistical procedures were nonparametric mainly. Hormonal status was playing position-dependent, power forward (PF) showed the lowest TT values (median ± interquartile range [IQR]; PF: 18.1 ± 4.9; nmol·L), and small forwards showed the highest ones of cortisol (0.55 ± 0.118 μmol·L). Players who played between 13 and 25 minutes per game showed the highest values of TT (22.8 ± 6.9 nmol·L) and TT/C (47.1 ± 21.2). March and April showed the most catabolic or stressed hormonal state (low TT/C values and high ones of cortisol) and that is necessary to take into account according to PT (>25-minute per game) and specific playing position. Monitoring plasma TT and cortisol is recommended to prevent excessive stress caused by professional basketball season requirements.

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The Effects of a Basketball Season on Aerobic and Strength Parameters Among College Men: Starters vs. Reserves

Cited by 26 publications

References 0 publications

Seasonal progression and variability of repeat-effort line-drill performance in elite junior basketball players

Seasonal progression and variability of repeat-effort line-drill performance in elite junior basketball players

Small-Sided Game Training Improves Aerobic Capacity and Technical Skills in Basketball Players

Using Testosterone and Cortisol as Biomarker for Training Individualization in Elite Basketball

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