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Record W2163003274 · doi:10.46743/1540-580x/2009.1256

Fluid Replacement Knowledge and Sources of Hydration Information among Illinois High School Athletic Coaches: A Pilot Study

2009· article· en· W2163003274 on OpenAlexaff
Justin R. Geijer, William A. Pitney, Jason P. Brandenburg

Bibliographic record

VenueInternet Journal of Allied Health Sciences and Practice · 2009
Typearticle
Languageen
FieldMedicine
TopicThermoregulation and physiological responses
Canadian institutionsUniversity of the Fraser Valley
FundersNorthern Illinois University
KeywordsCoachingTest (biology)Face validityAthletesPsychologyFluid replacementAssociation (psychology)Descriptive statisticsMedicineApplied psychologyMedical educationPhysical therapyFamily medicineClinical psychologyPsychometricsSurgeryStatistics

Abstract

fetched live from OpenAlex

Objective: The purpose of this study was to examine Illinois high school coaches’ knowledge of hydration and fluid replacement strategies. We also sought to identify their primary sources of fluid replacement information. Design: Descriptive Survey. Participants: 22 Coaches who were members of the Illinois High School Association were the survey respondents in this study. The mean age (±SD) of subjects was 37.4(±11.5) years with an average coaching experience of 11.4(±8.96) years. Intervention: A questionnaire was developed based upon the National Athletic Training Association’s Position Stand and the American College of Sports Medicine’s roundtable discussion of fluid replacement and hydration. The instrument contained three sections: 1) demographic information, 2) sources of hydration information, and 3) knowledge assessment of fluid replacement guidelines. The instrument was examined for face and content validity by three exercise physiology experts, one of whom had substantial expertise in sport nutrition. Main Outcomes Measures: Descriptive statistics were used to identify the sources of information and scores on the knowledge assessment. Consistent with similar studies, a score of 80% was used for the passing rate for the knowledge assessment. A chi square test with a significance set a priori at p <.05 was used to determine whether a difference existed between those with formal fluid replacement and exercise physiology training and those without in regards to passing the knowledge assessment. Results: 22 surveys were returned from 500 coaches that were randomly selected for mailing, resulting in a response rate of 4.4%. The mean assessment score was 12.7 (± 1.77) correct responses out of a possible 17. Only 12 participants (54.5%) obtained a passing score on the questionnaire, indicating nearly half of the spending coaches had an unacceptable level of hydration/fluid replacement knowledge. The chi square test revealed no significant difference in passing rates between those coaches with fluid replacement training (p= .394) or formal exercise physiology background (p= .088). The primary sources of information for the majority (>50%) of coaches was from magazines, conferences, and medical staff. Conclusions: The results from the hydration and fluid replacement questionnaire indicate that a large percentage of Illinois high school coaches do not posses adequate knowledge related to fluid replacement for their athletes. The nature of the survey may have contributed to the response rate. The low response rate for this survey should be taken into consideration and, thus, the results interpreted with caution. Practical Applications: Professional associations should consider targeting coaching magazines and conferences to share critical information related to fluid replacement. Coaches must also take responsibility and keep abreast of the latest information related to the safety of their athletes.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.793
Threshold uncertainty score0.197

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.061
GPT teacher head0.374
Teacher spread0.313 · 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 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

Citations7
Published2009
Admission routes1
Has abstractyes

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