Associations between Training Load and Well-Being in Elite Beach Soccer Players: A Case Report

Júlio A. Costa, Pedro Figueiredo, Alberto Prata, Tiago Reis, Joana F. Reis, Luís Nascimento and João Brito
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Júlio A. Costa: Portugal Football School, Portuguese Football Federation, FPF, 1495-433 Cruz Quebrada, Portugal
Pedro Figueiredo: Portugal Football School, Portuguese Football Federation, FPF, 1495-433 Cruz Quebrada, Portugal
Alberto Prata: Portugal Football School, Portuguese Football Federation, FPF, 1495-433 Cruz Quebrada, Portugal
Tiago Reis: Portugal Football School, Portuguese Football Federation, FPF, 1495-433 Cruz Quebrada, Portugal
Joana F. Reis: Portugal Football School, Portuguese Football Federation, FPF, 1495-433 Cruz Quebrada, Portugal
Luís Nascimento: Portugal Football School, Portuguese Football Federation, FPF, 1495-433 Cruz Quebrada, Portugal
João Brito: Portugal Football School, Portuguese Football Federation, FPF, 1495-433 Cruz Quebrada, Portugal

IJERPH, 2022, vol. 19, issue 10, 1-8

Abstract: The current case study aimed to quantify within-subjects correlations between training load and well-being in elite male beach soccer players. Data were obtained over three consecutive days during the preparation camp for the FIFA Beach Soccer World Cup Russia 2021. The session rating of perceived exertion (s-RPE) and external training load metrics using global positioning system (GPS) were recorded. Eleven players reported perceived well-being (sleep quality, fatigue, muscle soreness and stress) using a Likert scale (Hooper Index) before breakfast. Within-subjects correlation coefficients between workload and well-being were calculated. Workload metrics and perceived well-being indices were significantly lower on day three than on days one and two. The Hooper Index presented a very large positive correlation with s-RPE ( r = 0.86 [0.67, 0.94], 95% confidence interval, CI), exposure time ( r = 0.88 [0.71, 0.95]), total distance ( r = 0.83 [0.60, 0.93]), high-speed distance ( r = 0.77 [0.50, 0.91]), and number of sprints ( r = 0.75 [0.47, 0.90]). Sleep quality presented a moderate to large positive correlation with s-RPE ( r = 0.51 [0.11, 0.77]), exposure time ( r = 0.50 [0.10, 0.76]), high-speed distance ( r = 0.53 [0.15, 0.78]), number of sprints ( r = 0.62 [0.28, 0.83]) and total distance ( r = 0.41 [0.18, 0.78]). Fatigue presented a large to very large positive correlation with s-RPE ( r = 0.85 [0.66, 0.94]), exposure time ( r = 0.90 [0.78, 0.96]), total distance ( r = 0.86 [0.68, 0.94]), high-speed distance ( r = 0.65 [0.31, 0.84]) and number of sprints ( r = 0.56 [0.18, 0.79]). Muscle soreness presented a large to very large positive correlation with s-RPE ( r = 0.79 [0.56, 0.91]), exposure time ( r = 0.83 [0.62, 0.93]), total distance ( r = 0.81 [0.59, 0.92]), high-speed distance ( r = 0.75 [0.47, 0.89]) and number of sprints ( r = 0.59 [0.22, 0.81]). Overall, workload presented a meaningful correlation with perceived well-being indices in elite male beach soccer players during a training camp. These findings suggest that workload metrics and perceived well-being indices can be implemented into the daily routine of an elite beach soccer team, which may assist coaches, sports scientists, and practitioners in better preparing players for beach soccer competitions.

Keywords: training monitoring; performance; football; team sports (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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