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Dive into the research topics where Cristiano Lino Monteiro de Barros is active.

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Featured researches published by Cristiano Lino Monteiro de Barros.


International Journal of Sports Medicine | 2017

Effects of Precooling on 30-km Cycling Performance and Pacing in Hot and Temperate Environments

André Maia-Lima; Guilherme Passos Ramos; Michele Macedo Moraes; Diogo Antônio Soares Pacheco; Gustavo Guimarães Aguiar Oliveira; Cristiano Lino Monteiro de Barros; Luciano Sales Prado; Emerson Silami Garcia

This study examined the effects of precooling on performance and pacing during 30-km cycling exercise in hot and temperate environments. 8 trained male cyclists performed 4 trials involving either cooling (PRECTEMP and PRECHOT) or no-cooling interventions (TEMP and HOT) prior to a 30-km self-paced cycling exercise in either a hot (35°C, 68% relative humidity) or temperate environment (24°C, 68% relative humidity). Exercise time was longer in HOT (60.62±3.47 min) than in TEMP (58.28±3.30 min; P<0.001), and precooling attenuated this thermal strain performance impairment (PRECHOT 58.28±3.30 min; P=0.048), but it was still impaired compared with TEMP (P=0.02). Exercise performance in PRECTEMP (54.58±4.35 min) was no different from TEMP. Initial power output was sustained until the end of the exercise in both TEMP and PRECTEMP, but was reduced from the 12th km until the end of the trial in HOT (P<0.05). This reduction was delayed by precooling because power output was reduced only after the 20th km during PRECHOT (P<0.05). Heart rate was similar in all conditions throughout almost the entire exercise, suggesting the maintenance of similar relative intensities. In conclusion, precooling was effective in attenuating, but not completely reversing thermal strain performance impairment and offered no ergogenic effect in the temperate environment.


Motriz-revista De Educacao Fisica | 2014

Potencia máxima estima el MLSS antes y después del entrenamiento aerobio

Carolina Franco Wilke; Guilherme Passos Ramos; André Maia Lima; Christian Emmanuel Torres Cabido; Cristiano Lino Monteiro de Barros; Thiago Teixeira Mendes; Emerson Silami Garcia

The purpose of this study is to present an equation to predict the maximal lactate steady state (MLSS) through a VO2peak incremental protocol. Twenty-six physically active men were divided in two groups (G1 and G2). They performed one maximal incremental test to determine their VO2peak and maximal power output (Wpeak), and also several constant intensity tests to determine MLSS intensity (MLSSw) on a cycle ergometer. Group G2 underwent six weeks of aerobic training at MLSSw. A regression equation was created using G1 subjects Wpeak and MLSSw to estimate the MLSS intensity (MLSSweq) before and after training for G2 (MLSSweq = 0.866 x Wpeak-41.734). The mean values were not different (150±27W vs 148±27W, before training / 171±26W vs 177±24W, after training) and significant correlations were found between the measured and the estimated MLSSw before (r²=0.49) and after training (r²=0.62) in G2. The proposed equation was effective to estimate the MLSS intensity before and after aerobic training.


Motriz-revista De Educacao Fisica | 2014

Maximal power output estimates the MLSS before and after aerobic training

Carolina Franco Wilke; Guilherme Passos Ramos; André Maia Lima; Christian Emmanuel Torres Cabido; Cristiano Lino Monteiro de Barros; Thiago Teixeira Mendes; Emerson Silami Garcia

The purpose of this study is to present an equation to predict the maximal lactate steady state (MLSS) through a VO2peak incremental protocol. Twenty-six physically active men were divided in two groups (G1 and G2). They performed one maximal incremental test to determine their VO2peak and maximal power output (Wpeak), and also several constant intensity tests to determine MLSS intensity (MLSSw) on a cycle ergometer. Group G2 underwent six weeks of aerobic training at MLSSw. A regression equation was created using G1 subjects Wpeak and MLSSw to estimate the MLSS intensity (MLSSweq) before and after training for G2 (MLSSweq = 0.866 x Wpeak-41.734). The mean values were not different (150±27W vs 148±27W, before training / 171±26W vs 177±24W, after training) and significant correlations were found between the measured and the estimated MLSSw before (r²=0.49) and after training (r²=0.62) in G2. The proposed equation was effective to estimate the MLSS intensity before and after aerobic training.


Motriz-revista De Educacao Fisica | 2013

Efeitos do calor no OBLA: comparação entre ambiente quente e temperado

Cristiano Lino Monteiro de Barros; Thiago Teixeira Mendes; Diogo Antônio Soares Pacheco; Emerson Silami Garcia

Abstract: The OBLA (onset of blood lactate accumulation), is a method used to estimate the lactate threshold (LT). However, It is unclear the effect of ambient temperature on OBLA. The aim of this study was to compare OBLA determined in warm (40°C) and temperate (22oC) environments. Nine men (age: 23.9±2.4 years, body mass: 75.9±7.3kg and VO 2 max: 47.8±4.9 mL•kg -1 •min -1 ) performed an incremental test in cycle ergometer to determine the maximal power output (Wmax) and OBLA in the heat (OBLA-40) and temperate (OBLA-22) environments. The Wmax (195±25W vs 225±28W) and the power output associated with the OBLA (153±30 W vs 165±32W) were lower in warm than in temperate experiments. The heart rate at OBLA-40 was higher than in OBLA-22 (171±8 vs 153±10 bpm, respectively). No difference was found in oxygen uptake at OBLA-22 and OBLA-40 (31.65±5.21 vs 31.12±6.82 mL•kg -1 •min -1 ). The results indicate that environmental conditions influence the OBLA determination.


European Journal of Applied Physiology | 2013

Six weeks of aerobic training improves VO2max and MLSS but does not improve the time to fatigue at the MLSS

Thiago Teixeira Mendes; Tatiana Ramos Fonseca; Guilherme Passos Ramos; Carolina Franco Wilke; Christian Emmanuel Torres Cabido; Cristiano Lino Monteiro de Barros; André Maia Lima; Lucas Ávila Mortimer; Moisés Vieira de Carvalho; Mauro M. Teixeira; Nilo Resende Viana Lima; Emerson Silami Garcia


Revista Brasileira de Cineantropometria e Desempenho Humano | 2011

Limiar anaeróbio de jogadores de futebol de diferentes categorias

Daniel Barbosa Coelho; Lucas Ávila Mortimer; Luciano Antonacci Condessa; Danusa Dias Soares; Cristiano Lino Monteiro de Barros; Emerson Silami Garcia


Archive | 2015

Limiar anaeróbico de 4,0mM é capaz de estimar a máxima fase estável de lactato de jogadores de futebol em testes de campo.

Daniel Barbosa Coelho; Rodrigo Figueiredo Morandi; Rodney Coelho da Paixão; Thiago Teixeira Mendes; Diego de Alcantara Borba; Cristiano Lino Monteiro de Barros; Emerson Rodrigues Pereira; Emerson Silami Garcia; Christian Emmanuel Torres Cabido


PubliCE Premium | 2014

Análisis de Concordancia entre el Test de Umbral de Glucosa Individual y el Test de Máximo Estado Estable de Lactato

Thiago Teixeira Mendes Thiago; Cristiano Lino Monteiro de Barros; Lucas Ávila Mortimer; Guilherme Morais Puga; Guilherme Passos Ramos; Luciano Sales Prado; Emerson Silami-Garcia


PubliCE | 2014

Análisis de Concordancia entre el Test de Umbral de Glucosa Individual y el Test de Máximo Estado Estable de Lactato - International Endurance Work Group

Thiago Teixeira Mendes Thiago; Cristiano Lino Monteiro de Barros; Lucas Ávila Mortimer; Guilherme Morais Puga; Guilherme Passos Ramos; Luciano Sales Prado; Emerson Silami-Garcia


Medicine and Science in Sports and Exercise | 2011

Maximal Power Output Estimates the MLSS Intensity in Cycle Ergometer Before and After Aerobic Training: 2760

Emerson Silami Garcia; João Dias Carlos; Carolina Franco Wilke; Guilherme Passos Ramos; Tatiana Ramos Fonseca; Lucas Ávila C.F. Mortimer; André Maia Lima; Christian Emmanuel Torres Cabido; Cristiano Lino Monteiro de Barros; Thiago Teixeira Mendes

Collaboration


Dive into the Cristiano Lino Monteiro de Barros's collaboration.

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Emerson Silami Garcia

Federal University of Maranhão

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Guilherme Passos Ramos

Universidade Federal de Minas Gerais

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Thiago Teixeira Mendes

Universidade Federal de Minas Gerais

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Christian Emmanuel Torres Cabido

Universidade Federal de Minas Gerais

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André Maia Lima

Universidade Federal de Minas Gerais

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Carolina Franco Wilke

Universidade Federal de Minas Gerais

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Lucas Ávila Mortimer

Universidade Federal de Minas Gerais

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Luciano Sales Prado

Universidade Federal de Minas Gerais

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Daniel Barbosa Coelho

Universidade Federal de Minas Gerais

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Diogo Antônio Soares Pacheco

Universidade Federal de Minas Gerais

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