title: Training mode's influences on the relationships between training-load models during basketball conditioning.
abstract: OBJECTIVE
  To compare perceptual and physiological training-load responses during various basketball training modes.
  
  
  METHODS
  Eight semiprofessional male basketball players (age 26.3 ± 6.7 y, height 188.1 ± 6.2 cm, body mass 92.0 ± 13.8 kg) were monitored across a 10-wk period in the preparatory phase of their training plan. Player session ratings of perceived exertion (sRPE) and heart-rate (HR) responses were gathered across base, specific, and tactical/game-play training modes. Pearson correlations were used to determine the relationships between the sRPE model and 2 HR-based models: the training impulse (TRIMP) and summated HR zones (SHRZ). One-way ANOVAs were used to compare training loads between training modes for each model.
  
  
  RESULTS
  Stronger relationships between perceptual and physiological models were evident during base (sRPE-TRIMP r = .53, P < .05; sRPE-SHRZ r = .75, P < .05) and tactical/game-play conditioning (sRPE-TRIMP r = .60, P < .05; sRPE-SHRZ r = .63; P < .05) than during specific conditioning (sRPE-TRIMP r = .38, P < .05; sRPE-SHRZ r = .52; P < .05). Furthermore, the sRPE model detected greater increases (126-429 AU) in training load than the TRIMP (15-65 AU) and SHRZ models (27-170 AU) transitioning between training modes.
  
  
  CONCLUSIONS
  While the training-load models were significantly correlated during each training mode, weaker relationships were observed during specific conditioning. Comparisons suggest that the HR-based models were less effective in detecting periodized increases in training load, particularly during court-based, intermittent, multidirectional drills. The practical benefits and sensitivity of the sRPE model support its use across different basketball training modes.
authors.affiliation: School of Medical and Applied Sciences, Central Queensland University, Rockhampton, Australia.
authors.forename: Aaron T
authors.initials: AT
authors.lastname: Scanlan
authors.forename: Neal
authors.initials: N
authors.lastname: Wen
authors.forename: Patrick S
authors.initials: PS
authors.lastname: Tucker
authors.forename: Nattai R
authors.initials: NR
authors.lastname: Borges
authors.forename: Vincent J
authors.initials: VJ
authors.lastname: Dalbo
mesh_terms: D000328:Adult; D000704:Analysis of Variance; D054874:Athletic Performance; D001490:Basketball; D003163:Competitive Behavior; D006339:Heart Rate; D006801:Humans; D008297:Male; D008954:Models, Biological; D009043:Motor Activity; D010465:Perception; D064797:Physical Conditioning, Human; D013997:Time Factors; D055815:Young Adult