Evidence map›Paper›PMID 40007896›Full record

ArticleFrontiers in physiology2024

The physiological responses to volume-matched high-intensity functional training protocols with varied time domains.

Jessica S Smith, Gabriella F Bellissimo, Fabiano T Amorim

Abstract read
In one paragraph

Article in Frontiers in physiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Trial
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jessica S SmithDepartment of Sport and Exercise Sciences, State University of New York at Oneonta, Oneonta, NY, United States.
Gabriella F BellissimoExercise Physiology Laboratory, Department of Health, Exercise, and Sports Sciences, University of New Mexico, Albuquerque, NM, United States.
Fabiano T AmorimExercise Physiology Laboratory, Department of Health, Exercise, and Sports Sciences, University of New Mexico, Albuquerque, NM, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: High-intensity functional training (HIFT) is typically performed with minimal or no rest periods, including "rounds for time" (RFT) or "as many rounds or repetitions as possible" (AMRAP) design. Alternatively, some HIFT workouts can be performed with prescribed rest intervals (e.g., "every minute on the minute" [EMOM]) that may have significant effects on physiological responses. Purpose: To compare the physiological responses between two different HIFT workouts (EMOM and RFT) that were matched for total work volume (TWV). Methods: Twelve trained individuals (six males and six females) performed two HIFT protocols, EMOM and RFT. Both the EMOM and RFT included five rounds of five power cleans, eight kipping pull-ups, six dumbbell thrusters, and ten burpees performed in this order. Measurements of heart rate (HR), oxygen consumption (VO Results: Time domains were significantly different for the EMOM and RFT workouts (20 vs. 12 min ± 3 min, Conclusion: The RFT induced greater physiological stress than the EMOM, indicating that prescribed rest intervals significantly affect the metabolic, cardiovascular, and perceptual responses during high-intensity functional exercise. Furthermore, the RFT may provide a greater cardiorespiratory stimulus, while the EMOM may be more suitable for technique development and recovery in trained individuals.

Indexed as

cardiorespiratory fitnessCrossFitcross-traininghigh-intensity interval trainingmuscular fitnessresistance training

Identifiers

PMID40007896
PMCPMC11850382

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.