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Energy Expenditure and Intensity of Group-Based High-Intensity Functional Training: A Brief Report.

ABSTRACT: Background:High-intensity functional training (HIFT) may offer an attractive, time-efficient alternative to traditional aerobic exercise. However, limited information is available in the literature regarding HIFT meeting exercise guidelines for energy expenditure (improve health outcomes: ?1000 kcal/wk; weight management: ?2000 kcal/wk) and level of intensity (moderate: 3-6 metabolic equivalents [METs], vigorous: ?6 METs) elicited by this approach. Thus, the primary aim was to objectively measure energy expenditure and intensity of HIFT sessions. Methods:\Energy expenditure was assessed in 20 adults (18-50 y, 50% females). The HIFT session format included the following segments: warm-up (?5 min), exercise (?35 min), and cooldown (?5 min). Participant oxygen consumption (COSMED, L/min and mL/kg/min), heart rate (Polar RS400), and physical activity (ActiGraph GT3X+) were collected in 15-second intervals. Average kcal per minute, METs, total kcal per session, and percent maximum heart rate (HRmax) were calculated. Results:METs ranged from 5.5 to 11.6 for the complete session (including warm-up and cooldown). Participant's HRmax was ?80% (range: 69%-100%). Average energy expenditure was ?485 kcal per session (?1400 kcal/wk). The vigorous-intensity exercise portion (?35 min) contributed to 80% of total energy expenditure. Conclusions:HIFT has the potential to meet the recommendations for exercise to improve health outcomes.

SUBMITTER: Willis EA

PROVIDER: S-EPMC6746154 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

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Energy Expenditure and Intensity of Group-Based High-Intensity Functional Training: A Brief Report.

Willis Erik A EA Szabo-Reed Amanda N AN Ptomey Lauren T LT Honas Jeffery J JJ Steger Felicia L FL Washburn Richard A RA Donnelly Joseph E JE

Journal of physical activity & health 20190519 6

<h4>Background</h4>High-intensity functional training (HIFT) may offer an attractive, time-efficient alternative to traditional aerobic exercise. However, limited information is available in the literature regarding HIFT meeting exercise guidelines for energy expenditure (improve health outcomes: ≥1000 kcal/wk; weight management: ≥2000 kcal/wk) and level of intensity (moderate: 3-6 metabolic equivalents [METs], vigorous: ≥6 METs) elicited by this approach. Thus, the primary aim was to objectivel ...[more]

PMID: 31104545

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Project description:BackgroundMany individuals lose less weight than expected in response to exercise interventions when considering the increased energy expenditure of exercise (ExEE). This is due to energy compensation in response to ExEE, which may include increases in energy intake (EI) and decreases in non-exercise physical activity (NEPA). We examined the degree of energy compensation in healthy young men and women in response to interval training.MethodsData were examined from a prior study in which 24 participants (mean age, BMI, & VO2max = 28 yrs, 27.7 kg•m-2, and 32 mL?kg-1?min-1) completed either 4 weeks of sprint-interval training or high-intensity interval training. Energy compensation was calculated from changes in body composition (air displacement plethysmography) and exercise energy expenditure was calculated from mean heart rate based on the heart rate-VO2 relationship. Differences between high (? 100%) and low (< 100%) levels of energy compensation were assessed. Linear regressions were utilized to determine associations between energy compensation and ?VO2max, ?EI, ?NEPA, and ?resting metabolic rate.ResultsVery large individual differences in energy compensation were noted. In comparison to individuals with low levels of compensation, individuals with high levels of energy compensation gained fat mass, lost fat-free mass, and had lower change scores for VO2max and NEPA. Linear regression results indicated that lower levels of energy compensation were associated with increases in ?VO2max (p < 0.001) and ?NEPA (p < 0.001).ConclusionsConsiderable variation exists in response to short-term, low dose interval training. In agreement with prior work, increases in ?VO2max and ?NEPA were associated with lower energy compensation. Future studies should focus on identifying if a dose-response relationship for energy compensation exists in response to interval training, and what underlying mechanisms and participant traits contribute to the large variation between individuals.

Project description:Adequate sleep is crucial during childhood for metabolic health, and physical and cognitive development. Inadequate sleep can disrupt metabolic homeostasis and alter sleeping energy expenditure (SEE). Functional data analysis methods were applied to SEE data to elucidate the population structure of SEE and to discriminate SEE between obese and non-obese children. Minute-by-minute SEE in 109 children, ages 5-18, was measured in room respiration calorimeters. A smoothing spline method was applied to the calorimetric data to extract the true smoothing function for each subject. Functional principal component analysis was used to capture the important modes of variation of the functional data and to identify differences in SEE patterns. Combinations of functional principal component analysis and classifier algorithm were used to classify SEE. Smoothing effectively removed instrumentation noise inherent in the room calorimeter data, providing more accurate data for analysis of the dynamics of SEE. SEE exhibited declining but subtly undulating patterns throughout the night. Mean SEE was markedly higher in obese than non-obese children, as expected due to their greater body mass. SEE was higher among the obese than non-obese children (p<0.01); however, the weight-adjusted mean SEE was not statistically different (p>0.1, after post hoc testing). Functional principal component scores for the first two components explained 77.8% of the variance in SEE and also differed between groups (p = 0.037). Logistic regression, support vector machine or random forest classification methods were able to distinguish weight-adjusted SEE between obese and non-obese participants with good classification rates (62-64%). Our results implicate other factors, yet to be uncovered, that affect the weight-adjusted SEE of obese and non-obese children. Functional data analysis revealed differences in the structure of SEE between obese and non-obese children that may contribute to disruption of metabolic homeostasis.

Project description:BackgroundStandardized training prescriptions often result in large variation in training response with a substantial number of individuals that show little or no response at all. The present study examined whether the response in markers of cardiorespiratory fitness (CRF) to moderate intensity endurance training can be elevated by an increase in training intensity.MethodsThirty-one healthy, untrained participants (46 ± 8 years, BMI 25.4 ± 3.3 kg m-2 and [Formula: see text]O2max 34 ± 4 mL min-1 kg-1) trained for 10 weeks with moderate intensity (3 day week-1 for 50 min per session at 55% HRreserve). Hereafter, the allocation into two groups was performed by stratified randomization for age, gender and VO2max response. CON (continuous moderate intensity) trained for another 16 weeks at moderate intensity, INC (increased intensity) trained energy-equivalent for 8 weeks at 70% HRreserve and then performed high-intensity interval training (4 × 4) for another 8 weeks. Responders were identified as participants with VO2max increase above the technical measurement error.ResultsThere was a significant difference in [Formula: see text]O2max response between INC (3.4 ± 2.7 mL kg-1 min-1) and CON (0.4 ± 2.9 mL kg-1 min-1) after 26 weeks of training (P = 0.020). After 10 weeks of moderate training, in total 16 of 31 participants were classified as VO2max responders (52%). After another 16 weeks continuous moderate intensity training, no further increase of responders was observed in CON. In contrast, the energy equivalent training with increasing training intensity in INC significantly (P = 0.031) increased the number of responders to 13 of 15 (87%). The energy equivalent higher training intensities increased the rate of responders more effectively than continued moderate training intensities (P = 0.012).ConclusionHigh-intensity interval training increases the rate of response in VO2max to endurance training even when the total energy expenditure is held constant. Maintaining moderate endurance training intensities might not be the best choice to optimize training gains. Trial Registration German Clinical Trials Register, DRKS00031445, Registered 08 March 2023-Retrospectively registered, https://www.drks.de/DRKS00031445.

Dataset Information

Energy Expenditure and Intensity of Group-Based High-Intensity Functional Training: A Brief Report.

Publications

Energy Expenditure and Intensity of Group-Based High-Intensity Functional Training: A Brief Report.

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