A new approach to quantify internal and external training load for intermittent sports

Roberto Andrés González Fimbres; María Grethel Ramírez Siqueiros; Luis Felipe Reynoso Sánchez; Jose Trinidad Quezada Chacón; Flor Janeth Miranda Mendoza; Germán Hernández

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A new approach to quantify internal and external training load for intermittent sports

González-Fimbres, Roberto Andrés ^[3] ; Ramírez-Siqueiros, María Grethel ^[3] ; Reynoso-Sánchez, Luis Felipe ^[4] ; Quezada-Chacón, José Trinidad ^[1] ; Miranda-Mendoza, Janeth ^[2] ; Hernández-Cruz, Germán ^[2]
1. [1] Universidad Autónoma de Ciudad Juárez
  
  Universidad Autónoma de Ciudad Juárez
  
  México
2. [2] Universidad Autónoma de Nuevo León
  
  Universidad Autónoma de Nuevo León
  
  México
3. [3] Universidad Estatal de Sonora. Ley Federal del Trabajo S/N, Colonia Apolo, Hermosillo, Sonora, México, CP 83100
4. [4] Universidad Autónoma de Occidente, Dpto. Ciencias Sociales y Humanidades. Blvd. Macario Gaxiola y Carretera Internacional, s/n. Narciso Mendoza, Los Mochis, Sinaloa, México. C.P. 81217
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Localización: Biotecnia, ISSN 1665-1456, Vol. 21, Nº. 3, 2019, págs. 26-34
Idioma: inglés
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Resumen
- The aim of this study was to propose a modified training impulse method (TRIMP) to quantify internal training load (ITL) in intermittent team sports and examine its relationship with external training load (ETL) during a preparatory period. Over 12 weeks, 11 male youth field hockey players (14.41 ± 0.51 years) were evaluated in regard to their ETL using triaxial accelerometers (Actigraph) and data was later contrasted with ITL, which was measured using heart rate (HR) monitors (Polar Team2) by four different TRIMP methods: Banister´s (bTRIMP), Edwards´s (eTRIMP), individualized (iTRIMP) and modified (mTRIMP). A correlation was found between HR (beat/min) and ETL (r = 0.699, R2 = 0.489, p < 0.01) and among TRIMP methods (r = 0.808-0.984, p < 0.01), however, the consistency between methods did not agree (p < 0.01). The ETL correlated in all TRIMP methods: bTRIMP (r = 0.509, R2 = 0.259, p < 0.01), eTRIMP (r = 0.336, R2 = 0.113, p < 0.01), iTRIMP (r = 0.224, R2 = 0.050, p < 0.01) and mTRIMP (r = 0.516, R2 = 0.267, p < 0.01). The proposed mTRIMP can be a valid option for ITL quantification; furthermore, indexes combining ITL and ETL should be used for a complete training assessment.