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Record W2993599633 · doi:10.1093/jas/skz258.125

246 Salivary electrolyte turnover in mid-distance trained sled dogs during 12 weeks of incremental conditioning

2019· article· en· W2993599633 on OpenAlexaff
James R Templeman, Noelle McCarthy, Michael I. Lindinger, Anna‐Kate Shoveller

Bibliographic record

VenueJournal of Animal Science · 2019
Typearticle
Languageen
FieldMedicine
TopicSalivary Gland Disorders and Functions
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsPotassiumCalciumSodiumDehydrationSalivaElectrolytePlaceboMagnesiumMedicineInternal medicineAnimal scienceChemistryEndocrinologyBiochemistryBiologyElectrode

Abstract

fetched live from OpenAlex

Abstract Regular exercise improves the health status of dogs; however, extreme exertion in the absence of adequate fluid and electrolyte replacement may decrease performance due to dehydration and cardiovascular stress. Unlike humans and horses, exercising dogs thermoregulate predominantly through respiratory and salivary losses, yet there is limited literature defining changes due to exercise in canine salivary electrolytes. The objective was to investigate the effects of a stepwise exercise regimen on salivary electrolyte concentrations in sled dogs. A training regimen was implemented whereby exercise intensity and duration increased incrementally over 12 weeks and was only altered due to inclement weather. Using sterile gauze and forceps, saliva samples were collected from 16 client owned Siberian Huskies at week-0 (pre-run, post-5.7km-run), week-6 (pre-run, 5.7km, post-39km-run), week-12 (pre-run, 5.7km, post-39km-run). Samples were analyzed for sodium, chloride, potassium, calcium, magnesium, and phosphorous using photometric and indirect ion-selective electrode analysis. Data were analyzed using PROC MIXED of SAS (v.9.4; SAS Institute Inc., Cary, NC). Means were separated using the Tukey adjustment. When compared across weeks, sodium, chloride, potassium, and calcium did not differ at any sampling time point. Throughout the 12 weeks, pre-run and 5.7km phosphorus, and 5.7 and 39km magnesium had increased (P < 0.05). Data were then pooled to evaluate changes due to run distance. Pre-run calcium and phosphorus was higher than at 5.7 and 39km (P < 0.05). Magnesium at 39km was greater than 5.7km, and at 5.7km was greater than pre-run (P < 0.05). Pre-run sodium was lower than at 5.7 and 39km (P < 0.05). Chloride at 5.7km was similar to pre-run and 39km, and at 39km was greater than pre-run (P < 0.05). These data suggest that as dogs become conditioned, they do not employ mechanisms to conserve salivary electrolytes, and that an electrolyte supplement with magnesium, sodium and chloride could be beneficial for sporting dogs.

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)0.000
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 score0.719
Threshold uncertainty score0.384

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.010
GPT teacher head0.256
Teacher spread0.246 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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