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The Impact of Isometric Exercise Muscle Mass on Post-Exercise Blood Pressure

2019· article· en· W2953894868 on OpenAlexaff
Lindsay A. Lew, Morgan Silvester, Kaitlyn Liu, Sarah Bailey, Kyra E. Pyke

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2019
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsQueen's University
Fundersnot available
KeywordsIsometric exerciseBlood pressureMedicineCardiologyAerobic exerciseInternal medicineSphygmomanometerPhysical therapyHeart rateExercise physiology

Abstract

fetched live from OpenAlex

A single bout of aerobic or resistance exercise can lead to a temporary drop in blood pressure (BP) following exercise; a phenomenon referred to as post-exercise hypotension (PEH). Like aerobic and resistance exercise, isometric exercise training can reduce resting BP however, considerably less is known regarding the ability of this type of exercise to elicit PEH. PEH may be more robustly stimulated with a larger active muscle mass, therefore, isometric leg exercise (ILX) (large muscle mass) may have greater potential than isometric handgrip exercise (IHGX) (small muscle mass) to evoke PEH. PURPOSE: To determine the impact of a bout of large (ILX) and small (IHGX) muscle mass isometric exercise on post-exercise blood pressure. METHODS: Twelve healthy males (23.7 ± 3.5yrs) completed 3 experimental visits (1 IHGX, 1 ILX, 1 control (rest no exercise)). Blood pressure (systolic and diastolic; SBP and DBP) was assessed at baseline and at 15, 30, 45 and 60 min post-exercise or control with an automated sphygmomanometer. Isometric exercise consisted of 4 alternating 2 min isometric contractions (quadriceps (ILX) or handgrip (IHGX)) at 30% maximum voluntary contraction. Contractions were separated by 1min of rest. Participants completed each condition on a separate day (order counterbalanced). RESULTS: SBP was lower than baseline at 15 and 45 min post (p=0.013 and p=0.014 respectively); but this did not differ between the control, IHGX and ILX conditions (p=0.256, Control: baseline 110 ± 7.3 mmHg, average post 106.7 ± 8.6mmHg; IHGX: baseline 110 ± 10.3mmHg, average post 107.4 ± 8.3mmHg; ILX: baseline 113.25 ± 11.7mmHg, average post 111.8 ± 11.2mmHg). DBP did not differ from baseline (Baseline DBP: control 69.17 ± 7.4mmHg, IHGX 68.6 ± 7.9mmHg, ILX 72.3 ± 7.4mmHg) at any time point in any condition (P>0.05). However, DBP 15 min post was higher in the ILX (73.4 ± 8.9mmHg) vs. the IHGX (68.3 ± 7.9mmHg) and Control (68.3 ± 8.6mmHg) conditions. CONCLUSION: PEH did not occur following a single session of either IHGX or ILX suggesting that this type of exercise may not be a potent stimulus for PEH in this population, even when engaging the larger quadriceps muscle mass. Further research is required to identify the importance of the duration and intensity of isometric exercise on post-exercise blood pressure. Funded by NSERC

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.274
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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