João Brito

João Brito

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Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 February 2015 in British Journal of Sports Medicine
Verified
Journal Article
Open access
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GNGeorge P Nassis
George P Nassis
JBJoão Brito
João Brito
JDJiri Dvorak
Jiri Dvorak
HCHakim Chalabi
Hakim Chalabi
SRSebastien Racinais
Sebastien Racinais
Objective The 2014 FIFA World Cup Brazil included 64 matches in temperate to tropical environmental conditions. We analysed performance data in relation to the environmental conditions to identify potential association. Methods Wet-bulb globe temperature (WBGT) parameters were obtained at the centre of the field 1 h before the start of play. Environmental stress was estimated (low, moderate and high) for each match using WBGT and relative humidity. Various physical and technical performance indices were recorded during each match (average of both teams). Results Over the 64 matches, 28 were played under low, 20 under moderate and 16 under high environmental stress. There was no difference in actual playing time (p=0.517), total distance covered (p=0.491), number of goals scored (p=0.485) and number of cards (p=0.618) between the matches played under different environmental stress categories. The number of sprints was lower in high than in moderate or low environmental stress (−10%, p<0.05) but peak speed was unaffected. The distance covered at high intensity was also lower under high (24.8±2.8 m/min/player) than low environmental stress (26.9±2.3 m/min/player, p=0.02). Number of passes was not different but the rate of successful passes was higher under high (76.8±4.4%) than low (73.6±10.8%) environmental stress (p=0.031). Conclusions Top-level players seem to modulate their activity pattern during matches in a hot and humid environment (ie, less high-intensity but more low-intensity running and successful passes) to preserve the global match characteristics (ie, similar actual playing time, total distance covered, peak running speed and goals scored).

3 November 2015 in Sports Medicine
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Journal Article
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JSJoao Silva
Joao Silva
JBJoão Brito
João Brito
RARichard Akenhead
Richard Akenhead
GNGeorge P. Nassis
George P. Nassis

6 April 2010 in Scandinavian Journal of Medicine & Science in Sports
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Journal Article
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MRMorten Bredsgaard Randers
Morten Bredsgaard Randers
LNLars Nybo
Lars Nybo
JPJ. Petersen
J. Petersen
JNJ. J. Nielsen
J. J. Nielsen
LCLasse Christiansen
Lasse Christiansen
Peter KrustrupPeter Krustrup
Peter Krustrup

18 May 2020 in Scandinavian Journal of Medicine & Science in Sports
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Journal Article
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GNGeorge Nassis
George Nassis
AMAndrew Massey
Andrew Massey
PJPhilipp Jacobsen
Philipp Jacobsen
JBJoão Brito
João Brito
MRMorten Bredsgaard Randers
Morten Bredsgaard Randers
Peter KrustrupPeter Krustrup
Peter Krustrup

23 October 2021 in Sports Medicine
Verified
Journal Article
Open access
PDF file
JWJad Adrian Washif
Jad Adrian Washif
AFAbdulaziz Farooq
Abdulaziz Farooq
Isabel KrugIsabel Krug
Isabel Krug
DPDavid Pyne
David Pyne
EVEvert Verhagen
Evert Verhagen
KCKarim Chamari
Karim Chamari
Objective: Our objective was to explore the training-related knowledge, beliefs, and practices of athletes and the influence of lockdowns in response to the coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Methods: Athletes (n = 12,526, comprising 13% world class, 21% international, 36% national, 24% state, and 6% recreational) completed an online survey that was available from 17 May to 5 July 2020 and explored their training behaviors (training knowledge, beliefs/attitudes, and practices), including specific questions on their training intensity, frequency, and session duration before and during lockdown (March–June 2020). Results: Overall, 85% of athletes wanted to “maintain training,” and 79% disagreed with the statement that it is “okay to not train during lockdown,” with a greater prevalence for both in higher-level athletes. In total, 60% of athletes considered “coaching by correspondence (remote coaching)” to be sufficient (highest amongst world-class athletes). During lockdown, < 40% were able to maintain sport-specific training (e.g., long endurance [39%], interval training [35%], weightlifting [33%], plyometric exercise [30%]) at pre-lockdown levels (higher among world-class, international, and national athletes), with most (83%) training for “general fitness and health maintenance” during lockdown. Athletes trained alone (80%) and focused on bodyweight (65%) and cardiovascular (59%) exercise/training during lockdown. Compared with before lockdown, most athletes reported reduced training frequency (from between five and seven sessions per week to four or fewer), shorter training sessions (from ≥ 60 to < 60 min), and lower sport-specific intensity (~ 38% reduction), irrespective of athlete classification. Conclusions: COVID-19-related lockdowns saw marked reductions in athletic training specificity, intensity, frequency, and duration, with notable within-sample differences (by athlete classification). Higher classification athletes had the strongest desire to “maintain” training and the greatest opposition to “not training” during lockdowns. These higher classification athletes retained training specificity to a greater degree than others, probably because of preferential access to limited training resources. More higher classification athletes considered “coaching by correspondence” as sufficient than did lower classification athletes. These lockdown-mediated changes in training were not conducive to maintenance or progression of athletes’ physical capacities and were also likely detrimental to athletes’ mental health. These data can be used by policy makers, athletes, and their multidisciplinary teams to modulate their practice, with a degree of individualization, in the current and continued pandemic-related scenario. Furthermore, the data may drive training-related educational resources for athletes and their multidisciplinary teams. Such upskilling would provide athletes with evidence to inform their training modifications in response to germane situations (e.g., COVID related, injury, and illness).

19 March 2012 in European Journal of Sport Science
Verified
Journal Article
Closed access
ARAntonio Rebelo
Antonio Rebelo
JBJoão Brito
João Brito
ASAndré Filipe Teixeira Seabra
André Filipe Teixeira Seabra
JOJose Oliveira
Jose Oliveira
Peter KrustrupPeter Krustrup
Peter Krustrup
The aims of the study were to (1) analyse the activity profile of youth football players during competitive matches, and (2) examine the relationship between physical match performance and intermittent exercise performance as well as . Thirty youth male football players, aged 14–17 years, carried out a laboratory treadmill test for determination of as well as the Yo‐Yo intermittent recovery level 1 (Yo‐Yo IR1) and Yo‐Yo intermittent endurance level 2 (Yo‐Yo IE2) tests. Time–motion analysis and heart rate (HR) recordings were performed during two competitive matches per player. Distance covered during the match was 6311±948 (range: 4435–8098) m, of which 12% were high‐intensity activities (HIA; 759±437 [374–2062] m), and 5% was backwards running (309±205 [12–776] m). Mean match HR was 168±12 (140–187) bpm, corresponding to 85% (69–91) of maximum HR. The total distance covered in the last 13.3‐min period of the match was 40%, 26% and 17% lower than in the first, second and fourth 13.3‐min periods of the match, respectively (P<0.05). The distance covered in backwards running decreased by 31% and 37% from the first to the last 13.3‐min periods of the first and second half, respectively (P<0.05). The Yo‐Yo IR1 was significantly associated with the time spent with sprinting during the match (r=0.63; P=0.002) and during the last 13.3‐min period (r=0.63; P=0.022). Both Yo‐Yo IR1 and Yo‐Yo IE2 were correlated with the time spent with match HIA (r=0.56 and r=0.57, respectively; P<0.05). No significant relationship was observed between and match time–motion variables (r=−0.13–0.25; P>0.05) or Yo‐Yo test performances (r=0.09–0.26; P>0.05). In conclusion, youth football players have a high heart‐rate loading during match play and a decreased running performance towards the end of the game. The intermittent exercise capacity, as determined in the Yo‐Yo IR1 test, appears to be a valid indicator of high‐intensity exercise performance in youth matches.