Relationship between different training impulses (TRIMP) in university handball athletes

• Published in: Journal of Physical Education and Sport Vol. 22; no. 2; pp. 297 - 304
• Main Authors: Girasol, Carlos Eduardo, Ronquim, Cesar Valério, Papoti, Marcelo, Alfredo, Damião Miranda Ngonga, Sapalo, André Timóteo, Guirro, Elaine Caldeira De Oliveira, Guirro, Rinaldo Roberto De Jesus
• Format: Journal Article
• Language: English
• Published: Pitesti Universitatea din Pitesti 01.02.2022
• Subjects: Athletes; Body composition; Body mass index; Correlation; Ethics; Evaluators; Exercise; Fatigue; Fatigue (Biology); Glucose; Handball; Heart rate; Measurement Techniques; Medical Evaluation; Narcotics; Performance Tests; Physical Examinations; Physical Fitness; Physiology; Repetition; Scientific Concepts; Validated Programs; Variables; Volunteers; Warm up (exercise)
• ISSN: 2247-8051; 2247-806X
• DOI: 10.7752/jpes.2022.02038

Problem Statement: The motivation to increase performance or monitoring capacity shapes the findings and advances in the field. Objective: The objective was to evaluate the correlation between different training impulses and their relationship with isolated variables such as maximum heart rate (HRmax), lactate ([La-]b), glucose (GLU), rating of perceived exertion (PRE), the running time and the total number of repetitions. Purpose: This is a cross-sectional study. Twenty-four volunteers were recruited. They performed a strenuous exercise for the biceps brachii muscle with 75% of maximum repetition and the values of HRmax, [La-]b and glucose, rating of perceived exertion, execution time, and the total number of repetitions were collected. The Shapiro-Wilk test was used, followed by the Pearson (r) and Spearman (rs) correlation coefficients. The classification established by Munro for the magnitude of correlations was considered. Results: Total time seems to demonstrate a higher number of significant relationships with other measures, but with an outcome between weak and moderate (r/rs 0.408-0.821). HRmax was the variable with the lowest number of significant relationships. The TRIMPLAC and TRIMPGLU showed a strong relation relationship (rs 0.914). All TRIMPs presented at least a moderate relationship (0.70-0.89). Conclusions: Volunteers showed a moderate to a high correlation between TRIMPLAC, GLU, Hr, and RPE. Compared to isolated load indices, the different TRIMPs showed impressive outcomes, especially for TRIMPLAC and TRIMPGLU. Thus, it is also possible to reproduce the method and the quality of the assessment for individuals who require practical and straightforward techniques in everyday life while remaining reliable for quantifying training demand.