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High-intensity exercise: an efficient approach to improve several health and performance indicators

Effect of supra-maximal exercise training (SET) on performance and health parameters in adults and older individuals of both genders

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ISRCTN
Registry ID
ISRCTN17120788
Enrollment
100
Registered
2020-05-01
Start date
2013-02-01
Completion date
Unknown
Last updated
2023-06-26

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Sedentary individuals Not Applicable

Interventions

The study was carried out in compliance with the principles laid down in the Helsinki Declaration. One hundred one individuals (women and men
students and employers) were recruited from the Moncton campus of the Université de Moncton. The study was approved by the University’s Human Research Ethics Committee (UHRC), and the participants wer

Sponsors

Université de Moncton
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Sedentary and healthy 2. Adults and senior

Exclusion criteria

Exclusion criteria: No history of cardiovascular or chronic health problems, drug consumption, or smoking before the beginning of the study

Design outcomes

Primary

MeasureTime frame
Measured at baseline and at post-intervention: 1. Waist conference (WC) and hip circumference (HC) measured twice to the nearest 0.5 cm with a flexible tape. Waist to hip ratio (WHR) was calculated using the following formula: WHR = WC (cm)/HC (cm) 2. Maximal and submaximal oxygen consumption evaluated through maximal and submaximal test on an upright cycle ergometer (Monark Ergomedic 839E electronic test cycle, Sweden) with continuous measurement of pulmonary gas exchange using a breath-by-breath automated metabolic system (Ergocard MEDI-SOFT, Sorinnes, Belgium) 3. Plasma epinephrine and norepinephrine concentrations measured using high-performance liquid chromatography (HPLC; Chromsystems; Thermo Finnigan, France) following the method of Koubi et al. 4. The frequency-domain analyses evaluated in both groups at rest, at VT1, and at baseline, and repeated post-intervention. Fast Fourier transformation and Hanning windows (512) with 50% overlap obtained the power spectral density. 5. The energy consumption, (E) in watts, calculated as follows: (E = (4.94 RER + 16.04) × VO2net/60 6. For women: menopausal status calculated on the basis of Stages of Reproductive Aging Workshop (STRAW)

Secondary

MeasureTime frame
Measured at baseline and at post-intervention: 1. Heart rate values continuously measured using an electrocardiogram machine (CASE 16 exercise testing system, Marquette, Wisconsin, USA) 2. Maximal power output determined by the Force-Velocity test on a cycle ergometer using a technique adapted from the study of Vandewalle et al 3. Plasma glucose concentrations determined using commercially available kits (all ABX Pentra, Montpellier, France) 4. Plasma insulin concentrations measured in the centralized laboratory by a radioimmunoassay procedure (Phaadebas Insulin Kit; Pharmacia Diagnostics AB, Piscataway, NJ). The insulin resistance was estimated by the homoeostasis model assessment (HOMA-IR) index as [fasting insulin (µU/ml) × fasting glucose (mmol/l]/22.5 5. Lipid oxidation (%LO) contributing to energy calculated using the method of McGilvery and Goldstein (1983) as follows: %LO = [(1 – RER)/0.29] × 100 6. Net mechanical efficiency (MEnet, %) calculated using the formula developed by Lafortuna et al. (2006) as the ratio of work performed (W) to the rate of energy consumed (E, W) above resting level, that was in turn computed as follows: E = (4.94 RER + 16.04) × VO2net / 60

Countries

Canada

Outcome results

None listed

Source: ISRCTN (via WHO ICTRP) · Data processed: Feb 4, 2026