CoChat
Sign Up
Cited by 40High Altitude and HypoxiaSports Performance and TrainingCardiovascular and exercise physiology

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

Acute Physiological and Performance Responses to High-Intensity Resistance Circuit Training in Hypoxic and Normoxic Conditions

Open access
Ramos-Campo, Domingo J., Rubio-Arias, Jacobo Á., Freitas, Tomás T., Camacho, Arturo, Jiménez-Diaz, José F., Alcaraz, Pedro E.·2017·Journal of Strength and Conditioning Research
DOI 10.1519/jsc.0000000000001572
Open this paper in CoChat — free accountOpen PDF

Abstract

Ramos-Campo, DJ, Rubio-Arias, JÁ, Freitas, TT, Camacho, A, Jiménez-Diaz, JF, and Alcaraz, PE. Acute physiological and performance responses to high-intensity resistance circuit training in hypoxic and normoxic conditions. J Strength Cond Res 31(4): 1040-1047, 2017-The aim of this study was to analyze physical performance and physiological variables during high-intensity resistance circuit training (HRC) with the addition of 2 levels (moderate and high) of systemic hypoxia. Twelve resistance-trained young male subjects participated in the study. After a 6 repetition maximum testing session, participants performed 3 randomized trials of HRC: normoxia (NORM: fraction of inspired oxygen [FiO2] = 0.21; ∼0 m altitude), moderate hypoxia (MH: FiO2 = 0.16; ∼2.100 m altitude), or high hypoxia (HH: FiO2 = 0.13; ∼3.800 m altitude), as controlled by a hypoxic generator. Bench press force, heart rate and heart rate variability, rating of perceived exertion, resting metabolic rate, energy cost, and countermovement jump were assessed in each session. Heart rate variability in HH was significantly lower (standard deviation of all normal NN intervals [intervals between two "normal" beats] = 111.9 vs. 86.7 milliseconds; standard deviation of the difference between consecutive NN intervals = 19.5 vs. 17.0 milliseconds; p ≤ 0.05) in comparison with NORM. There were significant differences in rating of perceived exertion between NORM and HH (11.6 vs. 13.8 points). Peak and mean force on the bench press were significantly lower (p ≤ 0.05) in HH when compared with MH (peak: 725 vs. 488 N; mean: 574 vs. 373 N). Energy cost was significantly higher (p ≤ 0.01) in both hypoxic conditions compared with NORM (NORM: 10.4; MH: 11.7; HH: 13.3 kJ·min). There were no differences between conditions in heart rate and countermovement jump variables. These results indicate that hypoxic stimuli during HRC exercise alter physical performance and physiological variables and affect how strenuous the exercise is perceived to be. High-intensity resistance circuit training in hypoxia increases the stress on the performance and physiological responses, and these differences must be taken into account to avoid an excessive overload.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1519/jsc.0000000000001572

Cites

31 of 31 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Research works printed but not linked: 1

  1. Marín-Pagán, 2014, Post-exercise responses to an acute bout of high resistance circuit training vs. traditional strength training, J Strength Cond Res, 28, 75

Cited by

Sorted by citations

See all 40

Related

See all

Metadata

Authors
Ramos-Campo, D. J., Rubio-Arias, J. Á., Freitas, T. T., Camacho, A., Jiménez-Diaz, J. F., & Alcaraz, P. E.
Affiliations
  • Department of Physical Activity and Sport Science, Sport Science Faculty, Catholic University of Murcia, Murcia, Spain;
  • Universidad Católica de Murcia (ES)
  • Laboratory of Physical Performance and Readaptation Injuries, University of Castilla-La Mancha, Toledo, Spain
ORCID
Freitas, Tomás T.
Venue
Journal of Strength and Conditioning Research
Publisher
Ovid Technologies (Wolters Kluwer Health)
Published
2017-04
Volume
31
Issue
4
Pages
1040-1047
ISSN
1064-8011 (ISSN-L)
DOI
10.1519/jsc.0000000000001572
OpenAlex
W2477777230
Cited by
40
References
31
Citations by year
2026: 2 · 2025: 3 · 2024: 4 · 2023: 3 · 2022: 3 · 2021: 5 · 2020: 7 · 2019: 9 · 2018: 1 · 2017: 3
FWCI
3.50
Type
journal article
Language
en
Open access
Licence
other-oa
Locations
  • The Journal of Strength and Conditioning Research (publishedVersion)
  • PubMed (publishedVersion)
  • RIUCAM (submittedVersion, other-oa)
  • LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by-nc-nd)
Topics
  • Health Sciences › Medicine › Physiology (medical) › High Altitude and Hypoxia
  • Health Sciences › Medicine › Orthopedics and Sports Medicine › Sports Performance and Training
  • Health Sciences › Medicine › Physiology (medical) › Cardiovascular and exercise physiology
Keywords
hypoxia, altitude training, resistance training, heart rate variability, rating of perceived exertion, energy costs, countermovement jump, physical performance
MeSH terms
Adult, Hypoxia, Basal Metabolism, Energy Metabolism, Heart Rate, Humans, Male, Muscle Strength, Resistance Training, Young Adult, Circuit-Based Exercise

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review