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  1. James C, Girard O
    PMID: 33345057 DOI: 10.3389/fspor.2020.00066
    Repeated-sprint training in hypoxia (RSH) studies conducted "in-season" are scarce. This study investigated the effect of discontinuous, running-based RSH, on repeated-sprint treadmill performance in hypoxia in a team sport cohort, prior to international competition. Over a 6-week "in-season" period, 11 elite male players (Malaysia national team) completed eight multi-set RSH sessions on a non-motorized treadmill in a normobaric hypoxic chamber (FiO2 = 13.8%). Three testing sessions (Sessions 1, 5, and 8), involved three sets of 5 × 8-s sprints, with 52-s recovery between sprints and 4-5 min between sets. Training sessions (Sessions 2, 3, 4, 6, and 7) consisted of four to five sets of 4-5 × 8-s sprints. During testing sessions, maximum sprinting speed was recorded for each sprint with values averaged for each set. For each set, a peak speed and fatigue index were calculated. Data were compared using two-way repeated measures ANOVA (sessions × sets). Average speed per set increased between testing sessions (p = 0.001,


    η


    p


    2


    = 0.49), with higher values in Session 8 (25.1 ± 0.9 km.h-1, +4 ± 3%, p = 0.005), but not Session 5 (24.8 ± 1.0 km.h-1, +3 ± 3%, p = 0.405), vs. Session 1 (24.2 ± 1.5 km.h-1). Peak sprinting speed in each set also increased across testing sessions (p = 0.008,


    η


    p


    2


    = 0.382), with Session 8 (26.5 ± 1.1 km.h-1) higher than Session 5 (25.8 ± 1.0 km.h-1, +1 ± 4%, p = 0.06) and Session 1 (25.7 ± 1.5 km.h-1, +4 ± 4%, p = 0.034). Fatigue index differed between sessions (p = 0.04,


    η


    p


    2


    = 0.331, Session 1; -6.8 ± 4.8%, Session 5; -3.8 ± 2%, Session 8; -5.3 ± 2.6%). In international field hockey players, a 6-week in-season RSH program improved average and peak, repeated treadmill sprint speeds following eight, but not five sessions.
  2. James C, Dhawan A, Jones T, Pok C, Yeo V, Girard O
    J Sports Sci Med, 2021 03;20(1):101-109.
    PMID: 33707993 DOI: 10.52082/jssm.2021.101
    This study investigated the relationships between internal and external training load metrics across a 2-week 'in-season' microcycle in squash. 134 on-court and 32 off-court 'conditioning' sessions were completed by fifteen elite squash players with an average (±SD) of 11 ± 3 per player. During every session, external load was captured using a tri-axial accelerometer to calculate Playerload; i.e., the instantaneous rate of change of acceleration across 3-dimensional planes. Internal load was measured using heart rate (HR), global (sRPE) and differential RPE (dRPE-Legs, dRPE-Breathing). Additionally, HR was used to calculate Banister's, Edward's and TEAM TRIMPs. Across 166 training sessions, Playerload was moderately correlated with TRIMP-Banister (r = 0.43 [95% CI: 0.29-0.55], p < 0.001) and TRIMP-Edwards (r = 0.50 [0.37-0.61], p < 0.001). Association of Playerload with TRIMP-TEAM (r = 0.24 [0.09-0.38], p = 0.001) was small. There was a moderate correlation between sRPE and Playerload (r = 0.46 [0.33-0.57], p < 0.001). Association of sRPE was large with TRIMP-Banister (r = 0.68 [0.59-0.76], p = 0.001), very large with TRIMP-Edwards (r = 0.79 [0.72-0.84], p < 0.001) and moderate with TRIMP-TEAM (r = 0.44 [0.31-0.56], p < 0.001). Both dRPE-Legs (r = 0.95 [0.93-0.96], p < 0.001) and dRPE-Breathing (r = 0.92 [0.89-0.94], p < 0.001) demonstrated nearly perfect correlations with sRPE and with each other (r = 0.91 [0.88-0.93], p < 0.001). Collection of both internal and external training load data is recommended to fully appreciate the physical demands of squash training. During a training microcycle containing a variety of training sessions, interpreting internal or external metrics in isolation may underestimate or overestimate the training stress a player is experiencing.
  3. Loh TC, Tee CCL, Pok C, Girard O, Brickley G, James C
    J Sports Sci, 2023 Mar;41(5):451-455.
    PMID: 37286473 DOI: 10.1080/02640414.2023.2221957
    This study reports the physiological and performance profiles of a world-class tower runner during a 6-week period surrounding a successful Guinness World Record (WR) attempt, and discusses the efficacy of a tower running specific field test. The world-ranked number 2 tower runner completed four exercise tests [laboratory treadmill assessment (3 weeks before the WR attempt), familiarisation to a specific incremental tower running field test (1 week before), tower running field test (1 week after), and tower running time trial (TT) (3 weeks after)] and the WR attempt within 6-week period. Peak oxygen consumption (VO2peak) during the laboratory test, field test, and TT were 73.3, 75.5 and 78.3 mL·kg-1·min-1, respectively. The VO2 corresponding to the second ventilatory threshold was 67.3 mL·kg-1·min-1 (89.1% of VO2peak), identified at stage 4 (tempo; 100 b·min-1), during the field test. The duration of the TT was 10 min 50 s, with an average VO2 of 71.7 mL·kg-1·min-1 (91.6% of VO2peak), HR of 171 b·min-1 (92% of peak HR), vertical speed of 0.47 m·s-1, and cadence was 117 steps·min-1. A world-class tower runner possesses a well-developed aerobic capacity. A specific, field-based test revealed greater VO2peak than a laboratory test, indicating a need for sport-specific testing procedures.
  4. Li Tee CC, Chong MC, Sundar V, Chok CL, Md Razali MR, Yeo WK, et al.
    Eur J Sport Sci, 2023 Aug;23(8):1581-1590.
    PMID: 35912915 DOI: 10.1080/17461391.2022.2109066
    Acute physiological, perceptual and biomechanical consequences of manipulating both exercise intensity and hypoxic exposure during treadmill running were determined. On separate days, eleven trained individuals ran for 45 s (separated by 135 s of rest) on an instrumented treadmill at seven running speeds (8, 10, 12, 14, 16, 18 and 20 km.h-1) in normoxia (NM, FiO2 = 20.9%), moderate hypoxia (MH, FiO2 = 16.1%), high hypoxia (HH, FiO2 = 14.1%) and severe hypoxia (SH, FiO2 = 13.0%). Running mechanics were collected over 20 consecutive steps (i.e. after running ∼25 s), with concurrent assessment of physiological (heart rate and arterial oxygen saturation) and perceptual (overall perceived discomfort, difficulty breathing and leg discomfort) responses. Two-way repeated-measures ANOVA (seven speeds × four conditions) were used. There was a speed × condition interaction for heart rate (p = 0.045, ηp2 = 0.22), with lower values in NM, MH and HH compared to SH at 8 km.h-1 (125 ± 12, 125 ± 11, 128 ± 12 vs 132 ± 10 b.min-1). Overall perceived discomfort (8 and 16 km.h-1; p = 0.019 and p = 0.007, ηp2  = 0.21, respectively) and perceived difficulty breathing (all speeds; p = 0.023, ηp2  = 0.37) were greater in SH compared to MH, whereas leg discomfort was not influenced by hypoxic exposure. Minimal difference was observed in the twelve kinetics/kinematics variables with hypoxia (p > 0.122; ηp2 = 0.19). Running at slower speeds in combination with severe hypoxia elevates physiological and perceptual responses without a corresponding increase in ground reaction forces.Highlights The extent to which manipulating hypoxia severity (between normoxia and severe hypoxia) and running speed (from 8 to 20 km.h-1) influence acute physiological and perceptual responses, as well as kinetic and kinematic adjustments during treadmill running was determined.Running at slower speeds in combination with severe hypoxia elevates heart rate, while this effect was not apparent at faster speeds.Arterial oxygen saturation was increasingly lower as running speed and hypoxic severity increased.Overall perceived discomfort (8 and 16 km.h-1) and perceived difficulty breathing (all speeds) were lower in moderate hypoxia than in severe hypoxia, whereas leg discomfort remained unchanged with hypoxic exposure.
  5. Washif JA, Farooq A, Krug I, Pyne DB, Verhagen E, Taylor L, et al.
    Sports Med, 2022 04;52(4):933-948.
    PMID: 34687439 DOI: 10.1007/s40279-021-01573-z
    OBJECTIVE: Our objective was to explore the training-related knowledge, beliefs, and practices of athletes and the influence of lockdowns in response to the coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).

    METHODS: Athletes (n = 12,526, comprising 13% world class, 21% international, 36% national, 24% state, and 6% recreational) completed an online survey that was available from 17 May to 5 July 2020 and explored their training behaviors (training knowledge, beliefs/attitudes, and practices), including specific questions on their training intensity, frequency, and session duration before and during lockdown (March-June 2020).

    RESULTS: Overall, 85% of athletes wanted to "maintain training," and 79% disagreed with the statement that it is "okay to not train during lockdown," with a greater prevalence for both in higher-level athletes. In total, 60% of athletes considered "coaching by correspondence (remote coaching)" to be sufficient (highest amongst world-class athletes). During lockdown, 

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