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Record W2565027087

The effect of ice bag application on musculoskeletal pain during application

2016· article· en· W2565027087 on OpenAlexaboutno aff
Daniel John Drees

Bibliographic record

VenueUNI ScholarWorks (University of Northern Iowa) · 2016
Typearticle
Languageen
FieldMedicine
TopicWinter Sports Injuries and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsPhysical medicine and rehabilitationMedicine
DOInot available

Abstract

fetched live from OpenAlex

Context: Ice bag application is a modality commonly used for pain relief in the athletic training setting, although there is limited evidence to support its use. This study evaluates the effectiveness of an ice bag application on musculoskeletal pain during the application. Objective: The purpose of this study is to determine the effect of ice application on pain during treatment for musculoskeletal injury. Design: Case series design with repeated measures comparisons. Participants: Twenty injured participants (19.9 ± 1.3 years), 14 males and 6 females, participated in this study. Participants were receiving ice bag applications as part of their treatment provided by an athletic trainer. Methods: Prior to the ice bag application, participants rated their pain on the Numerical Rating Scale (NRS) and the McGill Pain Questionnaire (MPQ). Then, a bag filled with crushed ice was applied to the injured site for 20 minutes. Participants were asked to rate their pain at minutes one, five, and 20 while the ice was applied and then immediately after the ice was removed. Main Outcome Measures: Pain was reported using the NRS and MPQ. A repeated measures MANOVA and repeated measures ANOVA were used to determine significant effects (P < .05). Paired t-tests with a Bonferonni adjustment (alpha = 0.05/4) were used for the post-hoc analysis. Results: There was a significant time effect (F(20,300)=5.63, p=0.001). The separate repeated measures ANOVA indicated that time had a significant effect for NRSTotal (F(2.03)=51.5, p=0.001), MPQTotal (F(1.98)= 21.4, p=0.001), MPQSensory (F(2.15)=27.1, p=0.001), MPQAffective (F(2.13)=4.28, p=0.019), MPQEvaluative (F(2.27), 6.55, p=0.002) indicating that pain significantly decreased over time. The miscellaneous section of the MPQ had a significant time effect which reflected an increase in pain (F(2.71)=7.61, p=0.001). Conclusion: Pain was significantly reduced by the ice bag application, beginning five minutes after the treatment began and lasted even after the ice bag was removed. Therefore, clinicians should continue the use of ice application for immediate relief of pain resulting from musculoskeletal injury.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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)0.0030.000

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 head0.002
GPT teacher head0.197
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 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
Published2016
Admission routes1
Has abstractyes

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