Acute Responses in Blood Flow Restriction Low-intensity Aerobic Training: A Meta-analysis.
Victor Sabinode de QueirosNicholas RolnickAngelo SabagIngrid Martins de FrançaPhelipe WildeJoão Guilherme VieiraVictor Machado ReisMagno F FormigaBreno Guilherme de Araújo Tinôco CabralPaulo Moreira Silva DantasPublished in: International journal of sports medicine (2023)
The purpose was to determine the effect low-intensity training with blood flow restriction (LI-BFR) versus high-intensity aerobic training (HIT) on acute physiological and perceptual responses. The Cumulative Index to Nursing and Allied Health Literature, National Library of Medicine, Scopus, SPORTDiscus and Web of Science databases and the reference list of eligible studies were consulted to identify randomized experimental studies, published until July 4, 2022, that analyzed physiological or perceptual responses between LI-BFR versus HIT in healthy young individuals. Mean difference (MD) and standardized mean difference (SMD) were used as effect estimates and random effects models were applied in all analyses. Twelve studies were included in this review. During exercise sessions, HIT promoted higher values of heart rate (MD=28.9 bpm; p<0.00001; I 2 =79%), oxygen consumption (SMD=4.01; p<0.00001; I 2 =83%), ventilation (MD=48.03 l/min; p=0.0001; I 2 =97%), effort (SMD=1.54; p=0.003; I 2 =90%) and blood lactate (MD=3.85 mmol/L; p=0.002; I 2 =97%). Perception of pain/discomfort was lower in HIT (SMD=-1.71; p=0.04; I 2 =77.5%). In conclusion, LI-BFR promotes less pronounced physiological responses than HIT but with greater perception of pain.
Keyphrases
- blood flow
- high intensity
- heart rate
- respiratory failure
- molecular dynamics
- resistance training
- chronic pain
- liver failure
- blood pressure
- public health
- case control
- healthcare
- working memory
- heart rate variability
- virtual reality
- mental health
- pain management
- quality improvement
- neuropathic pain
- ion batteries
- systematic review
- drug induced
- intensive care unit
- physical activity
- machine learning
- spinal cord
- aortic dissection
- extracorporeal membrane oxygenation
- big data
- spinal cord injury
- body composition
- risk assessment
- acute respiratory distress syndrome