Adding Vibration During Varied-Intensity Work Intervals Increases Time Spent Near Maximal Oxygen Uptake in Well-Trained Cyclists Article Swipe
Sébastien Duc
,
Tomas Urianstad
,
Bent R. Rønnestad
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1123/ijspp.2021-0572
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1123/ijspp.2021-0572
Purpose: Previous research suggests that the percentage of maximal oxygen uptake attained and the time it is sustained close to maximal oxygen uptake (eg, >90%) can serve as a good criterion to judge the effectiveness of a training stimulus. The aim of this study was to investigate the acute effects of adding vibration during varied high-intensity interval training (HIIT) sessions on physiological and neuromuscular responses. Methods: Twelve well-trained cyclists completed a counterbalanced crossover protocol, wherein 2 identical varied HIIT cycling sessions were performed with and without intermittent vibration to the lower-intensity workloads of the work intervals (6 × 5-min work intervals and 2.5-min active recovery). Each 5-minute work interval consisted of 3 blocks of 40 seconds performed at 100% of maximal aerobic power interspersed with 60-second workload performed at a lower power output, equal to the lactate threshold plus 20% of the difference between lactate threshold and maximal aerobic power. Oxygen uptake and electromyographic activity of lower and upper limbs were recorded during all 5-minute work intervals. Results: Adding vibration induced a longer time ≥90% maximal oxygen uptake (11.14 [7.63] vs 8.82 [6.90] min, d = 0.64, P = .048) and an increase in electromyographic activity of lower and upper limbs during the lower-intensity workloads by 20% (16%) and 34% (43%) ( d = 1.09 and 0.83; P = .03 and .015), respectively. Conclusion: Adding vibration during a varied HIIT session increases the physiological demand of the cardiovascular and neuromuscular systems, indicating that this approach can be used to optimize the training stimulus of well-trained cyclists.
Related Topics
Concepts
Interval training
High-intensity interval training
VO2 max
Cycling
Lactate threshold
Animal science
Oxygen
Medicine
Time trial
Crossover study
Physical therapy
Chemistry
Physical medicine and rehabilitation
Heart rate
Blood lactate
Internal medicine
Biology
Placebo
Organic chemistry
Pathology
Archaeology
Blood pressure
History
Alternative medicine
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1123/ijspp.2021-0572
- OA Status
- green
- Cited By
- 2
- References
- 35
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4289734425
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4289734425Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1123/ijspp.2021-0572Digital Object Identifier
- Title
-
Adding Vibration During Varied-Intensity Work Intervals Increases Time Spent Near Maximal Oxygen Uptake in Well-Trained CyclistsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-08-04Full publication date if available
- Authors
-
Sébastien Duc, Tomas Urianstad, Bent R. RønnestadList of authors in order
- Landing page
-
https://doi.org/10.1123/ijspp.2021-0572Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://hal.univ-reims.fr/hal-04417543Direct OA link when available
- Concepts
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Interval training, High-intensity interval training, VO2 max, Cycling, Lactate threshold, Animal science, Oxygen, Medicine, Time trial, Crossover study, Physical therapy, Chemistry, Physical medicine and rehabilitation, Heart rate, Blood lactate, Internal medicine, Biology, Placebo, Organic chemistry, Pathology, Archaeology, Blood pressure, History, Alternative medicineTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
- Citations by year (recent)
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2024: 1, 2023: 1Per-year citation counts (last 5 years)
- References (count)
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35Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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