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Effects of applied muscle tension on the likelihood of blood donor return

2009· article· en· W1984932734 on OpenAlexaff
Blaine Ditto, Christopher France, Michael A. Albert, Nelson Byrne, Julie Smyth‐Laporte

Bibliographic record

VenueTransfusion · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBlood donation and transfusion practices
Canadian institutionsMcGill University
Fundersnot available
KeywordsDonationFaintingMuscle tensionMedicineBlood donorRandomized controlled trialPhysical therapySurgeryAnesthesia

Abstract

fetched live from OpenAlex

BACKGROUND: Blood donation-related symptoms such as dizziness and fainting are unpleasant for the donor and a significant disincentive for repeat donation. The muscle tensing technique of applied muscle tension reduced symptoms in several studies. STUDY DESIGN AND METHODS: Follow-up data from a randomized controlled trial of different components of applied tension were obtained. The number of subsequent blood donations in a 2-year period was determined for 1059 of 1209 donors originally assigned to one of six conditions involving tension of different muscle groups or donation as usual. RESULTS: In general, women who were assigned to one of the applied tension conditions were significantly more likely to return than women assigned to the donation as usual condition (67% vs. 55%, chi(2)(1) = 4.71, p = 0.03). There was no significant enhancement of return among male donors. Also, there was no association between the actual reduction of symptoms in different applied tension conditions and higher levels of return. CONCLUSION: Participation in a condition that involved learning repeated muscle tension with the expectation that this might help reduce blood donation-related symptoms was associated with a greater likelihood of return for women.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.135
Threshold uncertainty score0.413

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.204
Teacher spread0.195 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations30
Published2009
Admission routes1
Has abstractyes

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