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Massage Impairs Rather Than Enhances Lactic Acid Removal From Muscle After Strenuous Exercise

2009· article· en· W2064693787 on OpenAlexaffabout
Victoria Wiltshire, Veronica J. Poitras, Melissa Pak, Terence Hong, Jay Rayner

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2009
Typearticle
Languageen
FieldMedicine
TopicExercise and Physiological Responses
Canadian institutionsQueen's University
Fundersnot available
KeywordsMassageMedicineIsometric exerciseSupine positionLactic acidForearmPhysical therapyExercise physiologyBlood flowAnesthesiaInternal medicineCardiologySurgeryPathology

Abstract

fetched live from OpenAlex

Sports massage has been widely accepted among the athletic community as an aid to promote muscle recovery from exercise. The Canadian Sports Massage Therapists Association (CSMTA) website (www.csmta.ca) states that it "relieves soreness and assists in the removal of lactic acid and other waste products“. To date no studies have investigated the claim about lactic acid removal. PURPOSE: To test the hypothesis that massage improves muscle lactic acid removal post exercise. METHODS: Twelve healthy young University undergraduate male subjects lay supine and performed 2 min of isometric handgrip at 40% maximal voluntary contraction (MVC). Forearm blood flow (FBF; Doppler and Echo ultrasound of the brachial artery) and deep venous forearm blood lactate concentration (DV[La-]; StatProfile M Blood Gas Analyzer, Nova Biomedical) were measured every 30 s for 10 min post-handgrip under three conditions: Control (passive rest), Massage (effleurage and petrissage), and Active Recovery (rhythmic exercise at 10% MVC). RESULTS: Data are mean ±SE. DV[La-] at 30 s post handgrip increased by a similar amount above baseline across conditions (Control 6.1 ±0.5, Massage 5.5 ±0.6, Active Recovery 5.7 ±0.6 mmol/L). From 4.5 min post handgrip onwards, it was lower in Active Recovery than Control or Massage, P<0.05. FBF was highest in Control vs. Massage and Active Recovery for the first 3.5 min post-handgrip, all P<0.05. Examination of beat by beat flow tracings revealed markedly reduced flow during limb compression with rhythmic Massage and during the contraction phase of rhythmic exercise in Active Recovery. Total FBF area under the curve (AUC; ml) for 10 min post handgrip was significantly higher in Control vs. Massage (4203 ±531 vs. 3178 ±304) but not vs. Active Recovery (3584 ±284, P=0.217). La- efflux (mmol; FBF x DV[La-]) AUC mirrored FBF AUC (Control 20.5 ±2.8 vs. Massage 14.7 ±1.6, P=0.03 vs. Active Recovery 15.4 ±1.9, P=0.064). CONCLUSIONS: Massage impairs lactic acid removal from muscle following strenuous exercise by mechanically impeding blood flow.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.883
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.290
Teacher spread0.276 · 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 teacher head, not a consensus.

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
Published2009
Admission routes2
Has abstractyes

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