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Record W2758683195 · doi:10.3138/jvme.0616-106r1

Dog Ownership, Physical Activity, and Health-Related Quality of Life in Veterinary Students: A Cross-Sectional Study

2017· article· en· W2758683195 on OpenAlexvenueno aff
Virginia K. Corrigan, Bess Pierce, Kathy Hosig

Bibliographic record

VenueJournal of Veterinary Medical Education · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHuman-Animal Interaction Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCross-sectional studyBivariate analysisMedicineMental healthQuality of life (healthcare)Descriptive statisticsMultivariate analysisPhysical activityPopulationVeterinary medicineEnvironmental healthPhysical therapyNursingPsychiatryInternal medicinePathology

Abstract

fetched live from OpenAlex

The primary objective of this cross-sectional study was to examine the relationship between dog ownership and physical activity in veterinary students. The secondary objective was to gain an understanding of veterinary students' health-related quality of life (HRQOL), and whether dog ownership and/or physical activity were associated with HRQOL measures. Veterinary students were invited to complete surveys between September and November 2015. The primary outcome for multivariate analyses was self-reported physical activity. Bivariate analyses and descriptive statistics were performed to assess student HRQOL. The survey response rate was 33% (152/460). Self-efficacy to exercise (p<.001, OR 2.24, 95% CI 1.46-3.44) and dog ownership (p=.01, OR 3.38, 95% CI 1.31-8.71) independently predicted meeting physical activity guidelines when controlling for other variables. About two thirds of respondents met physical activity guidelines. Veterinary students had significantly worse self-reported mental health scores when compared to both national and state averages. Neither dog ownership nor meeting physical activity guidelines were significantly associated with measures of HRQOL. The poor mental health status of veterinary students remains a significant issue for the profession to address. Longitudinal studies are needed that examine the relationship between physical activity and mental health outcomes in this population.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.391

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
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 head0.187
GPT teacher head0.549
Teacher spread0.362 · 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

Citations14
Published2017
Admission routes1
Has abstractyes

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