scholarly journals Prevalence of Non-responders for Blood Pressure and Cardiometabolic Risk Factors Among Prehypertensive Women After Long-Term High-Intensity Interval Training

2018 ◽  
Vol 9 ◽  
Author(s):  
Cristian Álvarez ◽  
Rodrigo Ramírez-Campillo ◽  
Carlos Cristi-Montero ◽  
Robinson Ramírez-Vélez ◽  
Mikel Izquierdo
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
High Intensity ◽  
Cardiometabolic Risk ◽  
Interval Training ◽  
Cardiometabolic Risk Factors ◽  
High Intensity Interval Training ◽  
High Intensity Interval

High-Intensity Interval Training and Cardiometabolic Risk Factors in Children: A Meta-analysis

PEDIATRICS ◽  
2021 ◽  
Vol 148 (4) ◽  
pp. e2021050810
Author(s):  
Monserrat Solera-Martínez ◽  
Ángel Herraiz-Adillo ◽  
Ismael Manzanares-Domínguez ◽  
Lidia Lucas De La Cruz ◽  
Vicente Martínez-Vizcaíno ◽  
...  
Keyword(s):  
Risk Factors ◽  
High Intensity ◽  
Cardiometabolic Risk ◽  
Meta Analysis ◽  
Interval Training ◽  
Cardiometabolic Risk Factors ◽  
High Intensity Interval Training ◽  
High Intensity Interval

scholarly journals Light-intensity and high-intensity interval training improve cardiometabolic health in rats

2016 ◽  
Vol 41 (9) ◽  
pp. 945-952 ◽  
Author(s):  
Romeo B. Batacan ◽  
Mitch J. Duncan ◽  
Vincent J. Dalbo ◽  
Kylie J. Connolly ◽  
Andrew S. Fenning
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Light Intensity ◽  
High Intensity ◽  
Cardiometabolic Risk ◽  
Interval Training ◽  
Cardiometabolic Risk Factors ◽  
Cardiac Conduction ◽  
High Intensity Interval Training ◽  
High Intensity Interval

Physical activity has the potential to reduce cardiometabolic risk factors but evaluation of different intensities of physical activity and the mechanisms behind their health effects still need to be fully established. This study examined the effects of sedentary behaviour, light-intensity training, and high-intensity interval training on biometric indices, glucose and lipid metabolism, inflammatory and oxidative stress markers, and vascular and cardiac function in adult rats. Rats (12 weeks old) were randomly assigned to 1 of 4 groups: control (CTL; no exercise), sedentary (SED; no exercise and housed in small cages to reduce activity), light-intensity trained (LIT; four 30-min exercise bouts/day at 8 m/min separated by 2-h rest period, 5 days/week), and high-intensity interval trained (HIIT, four 2.5-min work bouts/day at 50 m/min separated by 3-min rest periods, 5 days/week). After 12 weeks of intervention, SED had greater visceral fat accumulation (p < 0.01) and slower cardiac conduction (p = 0.04) compared with the CTL group. LIT and HIIT demonstrated beneficial changes in body weight, visceral and epididymal fat weight, glucose regulation, low-density lipoprotein cholesterol, total cholesterol, and mesenteric vessel contractile response compared with the CTL group (p < 0.05). LIT had significant improvements in insulin sensitivity and cardiac conduction compared with the CTL and SED groups whilst HIIT had significant improvements in systolic blood pressure and endothelium-independent vasodilation to aorta and mesenteric artery compared with the CTL group (p < 0.05). LIT and HIIT induce health benefits by improving traditional cardiometabolic risk factors. LIT improves cardiac health while HIIT promotes improvements in vascular health.

scholarly journals Effects of High-Intensity Interval Training and Moderate-Intensity Continuous Training on Cardiometabolic Risk Factors in Overweight and Obesity Children and Adolescents: A Meta-Analysis of Randomized Controlled Trials

2021 ◽  
Vol 18 (22) ◽  
pp. 11905
Author(s):  
Meng Cao ◽  
Yucheng Tang ◽  
Shu Li ◽  
Yu Zou
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Children And Adolescents ◽  
Cardiometabolic Risk ◽  
Meta Analysis ◽  
Interval Training ◽  
Cardiometabolic Risk Factors ◽  
Moderate Intensity ◽  
Continuous Training ◽  
High Intensity Interval

Background: The purpose of this review was to compare the effectiveness of high-intensity interval training (HIIT) and moderate-intensity continuous training (MICT) on cardiometabolic risk factors of obese children and adolescents. Methods: Relevant studies published in PubMed, MEDLINE and Web of Science databases were searched. Only randomized controlled trials (RCTs) that examined the effect of HIIT and MICT on children and adolescents with obesity were included. Meta-analyses were conducted to determine the effect of HIIT on cardiometabolic risk factors using STATA software and potential moderators were explored (i.e., study duration, training modalities, work/rest ratio and work duration time). Results: Twelve RCTs involving 325 participants were included in the meta-analysis. HIIT showed more positive effects on maximal oxygen uptake (VO2max; SMD = 0.87, 95% CI: 0.39 to 1.35, p = 0.000) and systolic blood pressure (SBP; SMD = −0.64, 95% CI: −1.05 to −0.22, p = 0.003) than MICT. However, when compared with MICT, HIIT caused no significant differences in body weight, body mass index, body fat percentage, diastolic blood pressure and glycolipid metabolism markers. Furthermore, subgroup analysis showed that the effects of HIIT on VO2max and SBP were significantly different regarding protocol factors, such as modality, duration, training time, training settings, work/rest ratio and work duration. Conclusions: HIIT has a positive role in promoting cardiometabolic risk factors in obese children and adolescents. Moreover, when compared with MICT, HIIT had a more significant effect on improving cardiorespiratory fitness and systolic blood pressure. The factors of HIIT protocol had an important influence on the intervention effects of childhood obesity.

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