Effects of Different Cardiorespiratory Training Program on Endurance Performance
NCT ID: NCT04357691
Last Updated: 2020-05-04
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
NA
20 participants
INTERVENTIONAL
2020-05-25
2022-12-31
Brief Summary
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Up to 20 participants will be recruited and randomised into two groups to undergo a calibration phase, which involves performing 3 sessions of exercise sessions per week over 2 weeks per intensity (low, moderate and high) in a crossover study design. Exercise sessions will be interspersed with a 2.4 km time trial, a VO2peak test and 2 weeks of wash out period. The utility phase will divide participants into two groups to undergo 3 exercise sessions per week, totalling to 12 exercise sessions. Either an AI-led training or a conventional training programme will be performed to compare the differences in training outcomes. Blood plasma will be obtained at selected time points in both phases to evaluate the effects of training on blood lipid profiles.
Findings from this study can potentially optimise efficacy and efficiency of endurance performance through personalised training with AI.
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Detailed Description
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Up to 20 recreationally active healthy males, aged between 21 to 35 years, will be recruited to take part in this study. All volunteers will provide their informed consent in writing before participating in the study. The possible risk and benefits will be made known to the participant prior to the agreement to participate and they will be allowed to withdraw from the study at any point in time without any reason provided. All potential participants will first be required to undergo medical screening by a certified independent practitioner before participating in the study. The medical practitioner conducting the assessment will be informed of the purpose of the medical screening. The screening is to ensure that the potential participant is eligible to take part in the study. The personal particulars form will also be completed by each participant prior to the commencement of each trial.
Baseline measurements and familiarisation trials:
In the first session, anthropometry measurements will be taken. Based on the height and nude body mass, the body mass index (BMI) will be calculated (body mass in kg) / (height in m)2. Waist and hip circumference will be determined using a measuring tape. Skinfold thickness measurements will be taken at 4 sites (biceps, triceps, subscapular and suprailiac) in triplicate using skinfold calliper and the mean value will be used to calculate total skin fold. Body density will be calculated according to the estimation of Durnin and Womersley (1974) and percentage body fat will be estimated using the equation of Siri (1956).
Familiarisation of the 2.4 km time trial and the treadmill peak oxygen uptake (VO2peak) test will be performed 2 weeks before the commencement of the actual 2.4 km time trial. Ample rest is given between the two sessions for recovery.
Control of trial status:
Before the commencement of every trials, participants will be reminded to remain hydrated by consuming sufficient fluids, to have at least 8 hours of sleep, to refrain from alcoholic beverages, and to refrain from any forms of strenuous physical activity 24 h before each trial. Blood glucose will be measured before the start of the session via finger pricked using a lancing device. Prior to the pricking of the finger, the site will be disinfected with an alcohol wipe(s) and pressure will be applied to the site of the prick after blood sampling to minimise any bruising that may develop. In addition, Participants will be required to perform a 2-day dietary record prior to every blood draw session. They will be requested to refrain from participating in other aerobic training regimes (other than the prescribed exercise routine) or any acute strenuous bout of exercise that is not part of their routine during the study period.
Study design:
Participants will be required to undergo endurance interval training with low, moderate or high intensity. Each training session will comprise a warm-up run (50-60% VO2peak) followed by a 1-min fast run (80 to 140% VO2peak) interspersed with 1-min of recovery between each running bout till participants reach 18 out of 20 on the ratings of perceived exertion (RPE; Borg's scale). Participants will perform 10-15 repetitions of interval runs during each session. Heart rate, RPE, and blood pressure will be measured continuously at stipulated intervals. Water will be provided ad libitum during all training sessions. In the utility phase, participants will either perform an AI-led training or a conventional training program for 4 weeks. A 2.4 km time trial and a treadmill peak oxygen uptake (VO2peak) test will be conducted at baseline, in between the low, moderate and high intensity bouts of training in the calibration phase, and before the first and last week of the utility phase. Similar to the familiarisation trials, the treadmill VO2peak test and 2.4 km time trial will be done at 3 days apart from each other to allow for recovery. The two phases would consist of 47 sessions, inclusive of seven VO2peak tests and seven 2.4 km time trials. The total duration for each participant will take approximately 6 months.
Blood sampling and analysis:
After 5 min of seated rest, participant will immerse their arm in warm water (42-45°C) for 10 min to promote arterialisation of venous blood. Blood (10 ml) will be withdrawn from the antecubital vein of the participants into an ETDA vacutainer tube for subsequent analysis of the lipid profile.
Conditions
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Study Design
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NON_RANDOMIZED
CROSSOVER
OTHER
SINGLE
Study Groups
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Healthy individuals (low-high-mod)
Participants will undergo the calibration phase beginning with low intensity training, followed by high, and moderate intensity training. Each training intensity will be performed 3 days a week for 2 weeks
Conventional training
Participants will perform a conventional training for 4 weeks, using low-moderate-high-low intensity progression training model
AI-led training
Participants will perform an AI-led training for 4 weeks
Healthy individuals (mod-high-low)
Participants will undergo the calibration phase beginning with moderate intensity training, followed by high, and low intensity training. Each training intensity will be performed 3 days a week for 2 weeks
Conventional training
Participants will perform a conventional training for 4 weeks, using low-moderate-high-low intensity progression training model
AI-led training
Participants will perform an AI-led training for 4 weeks
Healthy individuals (mod-low-high)
Participants will undergo the calibration phase beginning with moderate intensity training, followed by low, and high intensity training. Each training intensity will be performed 3 days a week for 2 weeks.
Conventional training
Participants will perform a conventional training for 4 weeks, using low-moderate-high-low intensity progression training model
AI-led training
Participants will perform an AI-led training for 4 weeks
Interventions
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Conventional training
Participants will perform a conventional training for 4 weeks, using low-moderate-high-low intensity progression training model
AI-led training
Participants will perform an AI-led training for 4 weeks
Eligibility Criteria
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Inclusion Criteria
* BMI \< 30
* Medically fit
* 2.4 km run time of 10 to 14 minutes in the past 12 months
Exclusion Criteria
21 Years
35 Years
MALE
Yes
Sponsors
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The N.1 Institute for Health (N.1)
OTHER
Wang Yongtai Raymond
OTHER
Responsible Party
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Wang Yongtai Raymond
Research Associate
Principal Investigators
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Kai Wei, Jason Lee, PhD
Role: PRINCIPAL_INVESTIGATOR
National University of Singapore
Dean Ho, PhD
Role: PRINCIPAL_INVESTIGATOR
National University of Singapore
Locations
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National University of Singapore
Singapore, , Singapore
Countries
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Central Contacts
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Facility Contacts
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References
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Wang H, Lee DK, Chen KY, Chen JY, Zhang K, Silva A, Ho CM, Ho D. Mechanism-independent optimization of combinatorial nanodiamond and unmodified drug delivery using a phenotypically driven platform technology. ACS Nano. 2015 Mar 24;9(3):3332-44. doi: 10.1021/acsnano.5b00638. Epub 2015 Feb 23.
Rashid MBMA, Toh TB, Hooi L, Silva A, Zhang Y, Tan PF, Teh AL, Karnani N, Jha S, Ho CM, Chng WJ, Ho D, Chow EK. Optimizing drug combinations against multiple myeloma using a quadratic phenotypic optimization platform (QPOP). Sci Transl Med. 2018 Aug 8;10(453):eaan0941. doi: 10.1126/scitranslmed.aan0941.
Other Identifiers
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Project CURATE
Identifier Type: -
Identifier Source: org_study_id
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