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Physiology & Behavior
journal homepage: www.elsevier.com/locate/physbeh
Internal training load and its longitudinal relationship with seasonal player
wellness in elite professional soccer
Filipe Manuel Clemente
a,b,⁎
, Bruno Mendes
c
, Pantelis Theodoros Nikolaidis
d
, Francisco Calvete
c
,
Sandro Carriço
c
, Adam Lee Owen
c,e
a
Instituto Politécnico de Viana do Castelo, Escola Superior de Desporto e Lazer, Melgaço, Portugal
b
Instituto de Telecomunicações, Delegação da Covilhã, Portugal
c
Benfica LAB, Sport Lisboa e Benfica, Lisbon, Portugal
d
Exercise Physiology Laboratory, Nikaia, Greece
e
Centre de Recherche et d'Innovation sur le Sport, Université Claude Bernard Lyon.1, Lyon, France
ARTICLE INFO
Keywords:
Soccer
Congested fixture
Training
RPE
Monitoring
ABSTRACT
Monitoring internal training load has been extensively used and described within team sport environments,
however when compared to internal physiological measures such as heart rate (HR) and rating of perceived
exertion (RPE), the literature is sparse. The primary aim of this investigation study was to assess differences of
playing position on ITL, session-RPE and wellness across two different training microcycles (1 vs. 2 competitive
games), in addition with examining the relationship between ITL and Hooper's Index across an entire season.
Thirty-five professional soccer players from the Portuguese premier league participated in the study
(25.7 ± 5.0 years; 182.3 ± 6.4 cm; 79.1 ± 7.0 kg). Analysis of variance revealed higher values of DOMS
(Means(M): 3.33 vs. 3.10; p = 0.001; effect Size (ES) = 0.087), fatigue (M: 3.18 vs. 2.99; p = 0.001;
ES = 0.060) and HI (M: 11.85 vs. 11.56; p = 0.045; ES = 0.034) in 2-game weeks compared with 1-game
weeks. Correlation between ITL and HI levels found significant negative correlations between ITL and DOMS
(ρ = -0.156), ITL and sleep (ρ = -0.109), ITL and fatigue (ρ = -0.225), ITL and stress (ρ = -0.188), and
ITL and HI (ρ = -0.238) in 2-game weeks. Results from 1-game microcycle only highlighted negative corre-
lations between ITL and stress (ρ = -0.080). It was concluded from the study that greater fatigue potential,
muscle soreness, stress and ITL was significantly more apparent within a 2-game microcycle. As a result, care
should be taken when planning the lead into and out of a 2-game fixture microcycle highlighting key specific
recovery strategies to damped the increased stress effect. Additionally, the potential utilization of squad rotation
strategies may be a positive approach with aim of managing the fatigue effect.
1. Introduction
Monitoring internal training load has been used extensively and
well discussed in sports, especially in team sports [1]. Additionally,
compared to internal physiological measures, such as heart rate (HR)
and rate of perceived exertion (RPE), other measures of physiological
status are less known. Recent literature has reported the use of the
Hooper index [2] as a reliable method for the monitoring of athlete
wellness providing further information concerning the detail of player
fatigue, stress, muscle soreness and sleep perception. The Hooper index
has recently been utilized to monitor player wellness during a 4-day
FIFA international futsal tournament [2] in addition with a 2-month
study on cycling performance [3]. However, apart from the aforemen-
tioned studies, the relationship between use of the Hooper index and
session-RPE is limited amongst the research. One investigation ob-
served no association between the Hooper index and RPE [4], however,
further research is needed in this subject to validate the findings fur-
ther.
Recent literature using team sport players competing in one game
microcycle have shown that internal training load might be more in-
tense towards the beginning of the microcycle as a way to ensure fa-
tigue is minimal close to competitive match play [5–7] and a one-
month mesocycle [8]. However, competing in 2-game microcycles oc-
curs often in team sports such as soccer, when teams are more suc-
cessful based on their need for domestic and European competition
[6,9]. A recent study also suggests that there are evidences of a negative
impact of a longitudinal fixture congestions cross the season [10]. Only
a few studies have so far investigated the quantification of training of
http://dx.doi.org/10.1016/j.physbeh.2017.06.021
Received 19 November 2016; Received in revised form 7 June 2017; Accepted 28 June 2017
⁎
Corresponding author at: Complexo Desportivo e Lazer de Melgaço – Monte de Prado, 4960-320 Melgaço, Portugal.
E-mail address: filipe.clemente5@gmail.com (F.M. Clemente).
Physiology & Behavior 179 (2017) 262–267
Available online 28 June 2017
0031-9384/ © 2017 Elsevier Inc. All rights reserved.
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