Acute effects of equated volume-load resistance training leading to muscular failure versus non-failure on neuromuscular performance

Fonseca, Fabiano de Souza; Costa, Bruna; Ferreira, Maria Elisa Caputo; Paes, Santiago Tavares; Lima-Júnior, Dalton de; Kassiano, Witalo; Cyrino, Edílson Serpeloni; Gantois, Petrus; Fortes, Leonardo de Sousa

doi:10.1016/j.jesf.2020.01.004

Cited by 17 publications

(18 citation statements)

References 35 publications

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“…Back squat maximum performance test Five minutes after the warm-up, participants performed the preintervention back-squat maximum performance test, which consisted of performing three repetitions at the maximal concentric velocity with a load corresponding to 15RM load. A momentary pause lasting approximately 2 s was interposed between the eccentric and concentric phases of the back-squat exercise to minimize the contribution of the rebound effect and allow for more reproducible, consistent measurement [25]. An interval of 30 s was provided between attempts.…”

Section: Variables Measurementsmentioning

confidence: 99%

Transcranial Stimulation Improves Volume and Perceived Exertion but does not Change Power

et al. 2021

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This study aimed to analyze the acute effect of anodal transcranial direct current stimulation (a-tDCS) over the primary motor cortex (M1) on the volume, perceived exertion, and neuromuscular performance measurements in trained and untrained adults. Twenty-four male adults (12 trained and 12 untrained) participated in this single-blind, randomized, and sham-controlled study. The participants performed three back squat repetitions using the 15RM load with maximal concentric velocity to assess neuromuscular performance before tDCS and 30-min after resistance exercise. Next, they were randomly assigned to a-tDCS over M1 or the sham condition. Participants performed ten sets of parallel back squat with 15RM load and repetitions sustained to momentary muscular failure. The total number of repetitions was higher (p<0.05) and perceived exertion was lower (p<0.05) after a-tDCS in both groups. Peak power, velocity, and force decreased in both groups after the RE session (p<0.05), but with a higher rate in untrained individuals (p<0.05). No significant effect was found for peak power, peak velocity, and peak force (p>0.05). This study suggests that using a-tDCS may improve the total volume of repetitions and perceived exertion in trained and untrained individuals.

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Section: Variables Measurementsmentioning

confidence: 99%

Transcranial Stimulation Improves Volume and Perceived Exertion but does not Change Power

et al. 2021

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“…Among these RT prescription variables, the level of effort involved in every exercise set plays a key role in the magnitude and specificity of neuromuscular adaptations [3,4]. The level of effort relies on the interaction between training intensity and volume, and has been previously defined as the number of repetitions actually performed in each set with respect to the maximum number of repetitions that can be completed [3,5,6]. Accordingly, the level of effort will differ when performing, for example, 6 out of 12 repetitions with a given load (6[12]) compared to completing all possible repetitions (12 [12]).…”

Section: Introductionmentioning

confidence: 99%

The effects of different intra-set velocity loss thresholds on lower-limb adaptations to resistance training in young adults: A systematic review and meta-analysis

Gantois¹,

Nakamura²,

Alcázar³

et al. 2021

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Background: The level of effort seems to play a key role in determining neuromuscular adaptations; however, less is known regarding the optimal dose-response for intra-set levels of effort on chronic resistance training (RT) adaptations. Objective: We aimed to synthesize the current literature on chronic RT adaptations in response to different intra-set velocity loss (VL) thresholds in the back squat exercise. We investigated changes in muscle strength, muscular endurance, sports-related physical performance, and muscle hypertrophy outcomes during resistance exercise to establish optimal dose-response relationships in physically active individuals.Methods: We conducted a literature search using PubMed (Medline), Web of Science™, Scopus, and Cochrane up to April 2021, with no restriction on year of publication. The inclusion criteria were based on the PICO strategy. A random-effect meta-analysis was performed to determine the standardized mean differences (SMD ± 95% confidence intervals) for different intra-set VL thresholds (low VL [< 15%], moderate VL [≥ 15% and < 30%], and high VL [≥ 30%]) in RT on maximum muscular strength, bar velocity against submaximal loads, endurance against a given load, countermovement jump height, running sprint time, and muscle hypertrophy. Results: A total of 4,031 articles were found and 11 studies met our eligibility criteria. Pooled results revealed improvements between pre- and post-training intervention in 1RM strength (SMD = 0.78; p < 0.001); bar velocity outputs (light-loads [SMD = 0.79; p < 0.001] and heavy-loads [SMD = 2.08; p < 0.001]); endurance against a given load (SMD = 1.21; p < 0.001); countermovement jump height (SMD = 0.50; p < 0.001); running sprint time (SMD = - 0.28; p = 0.001); and muscle hypertrophy (SMD = 0.31; p = 0.05), with no significant difference between VL thresholds (p > 0.05). However, low VL elicited greater within-group SMD for 1RM strength than moderate and high VL thresholds (SMD = 0.93; 0.72; and 0.75; for low, moderate, and high VL thresholds, respectively). Low and moderate VL thresholds resulted in greater within-group SMD than high VL thresholds for velocity against light loads (SMD for low VL = 0.89; moderate VL = 0.90; high VL = 0.59); countermovement jump height (SMD for low VL = 0.51; moderate VL = 0.58; high VL = 0.36); and running sprint time (SMD for low VL = -0.49; moderate VL = -0.32; high VL = -0.09). Moderate and high VL thresholds induced higher within-group SMD for muscle hypertrophy than low VL (SMD for low VL = 0.14; moderate VL = 0.40; high VL = 0.44). Conclusions: Low to moderate VL thresholds may provide more effective and efficient training stimuli for improving performance in strength-power tasks, due to the similar or even greater chronic adaptations achieved compared with high VL, despite the lower number of repetitions performed during the RT program. Conversely, moderate to high VL may provide more favorable training stimuli for inducing muscle hypertrophy. Strength coaches may apply these dose-response trends to design optimal RT stimuli based on their specific training goals. Protocol registration: The study protocol was registered at the International Prospective Register of Systematic Reviews (PROSPERO) database (CRD42020189321).

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“…Os exercícios utilizados nos estudos foram aplicados no smith machine ou em um equipamento especificado nos estudos. A carga de treinamento utilizada nos protocolos foi ≥ 70% de 1RM (amplitude: 70-90%), entretanto alguns estudos prescreveram a carga de treinamento dos protocolos com base no número máximo de repetições (ARENT et al, 2005;FONSECA et al, 2020;GOROSTIAGA et al, 2012;GOROSTIAGA et al, 2014;GOROSTIAGA et al, 2010;LINNAMO et al, 1998;LINNAMO et al, 2005;RAASTAD et al, 2000…”

Section: Seleção Dos Estudosunclassified

“…A Figura 2 mostra os resultados individuais e a distribuição percentual do risco de viés dos estudos incluídos. A maioria dos estudos tinha risco não claro para a geração de sequência aleatória e ocultação de alocação, entretanto um estudo relatou a utilização da geração de sequência aleatória (FONSECA et al, 2020) e três estudos tinham um alto risco de viés para a geração de sequência aleatória e ocultação de alocação (LINNAMO et al, 1998;LINNAMO et al, 2005;SHIBATA et al, 2019). Todos os estudos foram classificados com risco não claro para cegamento dos participantes e profissionais, cegamento dos avaliadores e desfechos e relato de desfecho seletivo, uma vez que não havia informações suficientes para o julgamento apropriado.…”

Section: Risco De Viés Dos Estudos Incluídosunclassified

“…Por outro lado, alguns estudos observaram uma diferença pequena ou não significativa na altura do salto vertical, potência de saída, força isométrica, fadiga central, lactato sanguíneo e PSE entre TRF e TRNF (COSTA et al, 2021;FONSECA et al, 2020;GANTOIS et al, 2021;GONZÁLEZ-HERNÁNDEZ et al, 2021). Estas divergências podem ser causadas por diferentes características das populações, protocolos de TR, tempos de análise, métodos de avaliação e tipo de desfecho analisado.…”

Section: Introductionunclassified

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Efeitos do treinamento resistido para falha muscular sobre a fadiga aguda: uma revisão sistemática e meta-análise

Vieira¹

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A concepção adequada das variáveis do treinamento resistido é um fator chave para atingir o potencial máximo das adaptações neuromusculares. Entre essas variáveis, a opção de realizar treinamento resistidopara falha (TRF) pode levar a diferentes magnitudes da fadiga aguda comparado ao treinamento resistidonão realizado para falha (TRNF).A resposta da fadiga pode interferir nas adaptaçõesagudas, por sua vez regulando as adaptações a crônicas. Considerando que o grau de fadiga afeta as adaptações, é importante determinar como a fadiga é afetada pelo TRF.O objetivo desta revisão sistemática e meta-análise foi comparar o TRFcom o TRNF sobre a fadiga agudaem homens adultos. A busca nas bases de dadosfoi conduzida em janeiro de 2021,em sete bases de dados. Foram selecionados somente estudos com delineamento cruzado que investigaram as propriedades biomecânicas (altura do salto vertical, velocidade de movimento, potência de saída e força isométrica), resposta metabólica (lactatoe amônia),dano muscular (creatina quinase)e a percepção subjetiva de esforço (PSE).Os dados (média ± desvio padrão) foram extraídos dosestudos incluídos e convertidos em diferença média padronizada (SMD),ou mantidos emdiferença média bruta (RMD) quando os estudos reportavamos resultados na mesma escala. Vinte estudos foram incluídos na revisão sistemática e 13na meta-análise. As principais meta-análises indicaram uma maior diminuição das propriedades biomecânicas para o TRFem comparação com TRNF(SMD = -0,96 [95% IC-1,43; -0,49]; p< 0,001).Além disso, houve um maior aumento na resposta metabólica (RMD = 5,54 mmol·L-1[95% IC4,16; 6,92]; p< 0,001), dano muscular (SMD = 0,75 [95% IC0,35; 1,14]; p< 0,001) e percepção subjetiva do esforço(PSE; SMD = 2,47 [95% IC1,25; 3,68]; p< 0,001) para o TRF em comparação com TRNF. Análises exploratórias de subgrupos mostraram que o statusde treinamento(p= 0,92), tempo da análise(p= 0,89)e carga (p= 0,08) não afetaramas propriedades biomecânicas. No entanto, ocorreu maior perda no teste de velocidade de movimento dosmembros superiores em comparação com os membros inferiores (p< 0,001). A concentração de amônia sanguíneafoi maior noTRF do que no TRNF (RMD = 42,17 μmol·L-1[95% IC34,67; 49,67]; p< 0,001) e somente48h após a sessão de treinamento resistidoos níveis decreatina quinase sanguínea forammaioresapós TRF do quenoTRNF (SMD = 0,86 [95% IC0,40; 1,31]; p< 0,001). Portanto, conclui-se que o TRF leva a uma maior fadiga aguda em comparação com o TRNF. Esta fadigaapós o TRFpode também ter um impacto 9importante nos processos adaptativos a longo prazo. Além disso, umamaior fadiga pode prolongar o tempo necessário para a recuperação do que deve ser considerado quando o TRFé utilizado.O protocolooriginalda revisão sistemáticafoiprospectivamenteregistrado(CRD42020192336) noInternational Prospective Register of Systematic Review(PROSPERO).

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Acute effects of equated volume-load resistance training leading to muscular failure versus non-failure on neuromuscular performance

Cited by 17 publications

References 35 publications

Transcranial Stimulation Improves Volume and Perceived Exertion but does not Change Power

Transcranial Stimulation Improves Volume and Perceived Exertion but does not Change Power

The effects of different intra-set velocity loss thresholds on lower-limb adaptations to resistance training in young adults: A systematic review and meta-analysis

Efeitos do treinamento resistido para falha muscular sobre a fadiga aguda: uma revisão sistemática e meta-análise

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