Programming Interval Training Based on the HIIT Classification System on Time-Trial Performance v2
试验速览
- 阶段
- 不适用
- 发起方
- 入组人数
- 140
- 试验地点
- 1
- 主要终点
- Time Trial Performance
研究概览
简要总结
High Intensity Interval Training (HIIT) studies are required to determine the optimal training protocol to improve time trial(TT) performance. Data collection for this study will be conducted virtually through the use of a software platform (www.trainerroad.com) by people in their homes on cycle ergometers. Investigators will recruit people who are familiar with cycle exercise training and have their own equipment. By using a virtual platform to collect data, investigators will extend our reach to include a much larger and diverse sample of adult men and women up to age 45 years. In addition, the software platform will allow participants to train from the safety of their home, preventing the risk of exposure to COVID19.
OBJECTIVES O1: The primary objective of this study is to determine the influence of interval work-bout duration on TT performance when total mechanical work is matched.
O2: The secondary objective of the study is to determine the influence of work-bout duration on TT performance when work is matched by effort.
HYPOTHESIS H1: long duration bouts of HIIT will lead to greater improvements in performance compared to short duration bouts due to larger total amount of work completed during the interval sessions.
H2: HIIT will lead to equivalent improvements in performance when work is matched by the participant's rating of effort.
详细描述
Participants will complete a training history and will be characterized with a questionnaire with respect to age, sex and location. Prior to the first testing session, participants will keep a food diary for the day preceeding the testing session to permit replication of diet for other testing weeks. Participants will be provided with a coded TrainerRoad account used to record all testing and training data. Training sessions will be pre-programmed into the TrainerRoad platform. All testing and training will be completed by participants at their residence on their own bicycles with the use of a smart trainer. Participants will complete an incremental exercise test (IET) to determine their maximal power output (Wmax) and two 40-minute Time Trials (TTs). The IET includes a warmup followed by ramp increases in intensity to a voluntary maximum; typically reached after 8 to 12 min.
Testing will be conducted in the 2-weeks prior and the week following the intervention. Once baseline testing is completed, participants will begin the interval training program which will consist of two interval training sessions per week and 2-3 sessions of low-intensity continuous training. There will be assessor blinding since all testing and training will be conducted solely by the participant with guidance from the TrainerRoad software.
MEASUREMENTS Time-Trial Performance The TT test will be performed by each participant on their own bicycle connected to a smart trainer. Following the warmup, participants will complete a 40-minute TT to determine their maximal sustainable power which corresponds to 7-8/10 on the 10 point Borg RPE scale. For the first TT test, participants will set their workload to 65% of the power achieved from the IET. Participants can consume water ad libitum for the duration of the time trial. Heart rate, cadence, mean power output and maximal power output will be recorded using the TrainerRoad platform.
Maximal Power Output (Wmax). The incremental exercise test determines Wmax. The first stage of the assessment will be completed at the same intensity completed during the warmup phase and increased by 12.5 watts every 30-seconds until the participant is unable to maintain a cadence of 70 RPM. All data will be collected using the TrainerRoad platform.
INTERVENTIONS Participants will be randomly allocated to one of four interval training groups via a computer-generated random sequence. Randomization and allocation will be concealed from the investigators. The groups will consist of a long-HIIT, a medium-HIIT matched to long work, a medium-HIIT that is performed at 15% higher intensity (Medium-HIIT-H), and intermittent short-HIIT (Short-HIIT). Each participant will be aware that they will be completing one of four interval exercise programs, however, they will be blinded to the details of the other programs.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Other
- 盲法
- Double (Care Provider, Investigator)
盲法说明
Employ software to monitor intervention and outcomes. Intervention groups will be coded and the investigators will not be aware of intervention group assignment.
入排标准
- 年龄范围
- 18 Years 至 45 Years(Adult)
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •between the ages of 18 and 45 years of age
- •cycling for a minimum of 3 times per week for the previous 6-months.
排除标准
- •an injury in the previous 6-months preventing them from completing their normal training routine
- •presence of pathology including cardiovascular diseases (heart attack, hypertension), neurological conditions (stroke, etc.) or metabolic conditions (diabetes).
- •Participants will be asked to confirm their health status when they complete the intake survey.
研究组 & 干预措施
Long-HITT
Long work bout durations (4 minutes) on cycle ergometers or home trainers
干预措施: High Intensity Interval Training (Behavioral)
Medium HIIT-L
Medium duration work bouts (2 minutes) with intensity matched to the Long-HITT intensity
干预措施: High Intensity Interval Training (Behavioral)
Medium HIIT-H
Medium duration work bouts (2 minutes) with intensity at 30% of the difference between Wmax and mean TT power outputs
干预措施: High Intensity Interval Training (Behavioral)
Short HIIT
Short duration work bouts (30 seconds) with intensity at 50% of the difference between Wmax and mean TT power outputs
干预措施: High Intensity Interval Training (Behavioral)
结局指标
主要结局
Time Trial Performance
时间窗: 1 week before and 1 to 3 days after interventions
Change in Time required to complete a 40 kilometer simulated cycle ride
次要结局
- Peak Power Output(Before and 1 to 3 days after interventions)
研究者
Scott G. Thomas
Professor
University of Toronto
