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Record W4294990860 · doi:10.1002/vetr.1979

Assessing owners' readiness to change their behaviour to address their companion animal's obesity

2022· article· en· W4294990860 on OpenAlexafffund
Katja A. Sutherland, Jason B. Coe, Terri L. O’Sullivan

Bibliographic record

VenueVeterinary Record · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHuman-Animal Interaction Studies
Canadian institutionsUniversity of Guelph
FundersOVC Pet Trust
KeywordsOverweightSnowball samplingTranstheoretical modelScale (ratio)PsychologyObesityCompanion animalWeight managementBehavior changeMedicineGerontologySocial psychologyVeterinary medicinePathologyGeography

Abstract

fetched live from OpenAlex

BACKGROUND: Owner behaviour change in relation to management is critical for successful pet weight loss. The stages of change (SOC) can be used to conceptualise the process of intentional behaviour change. Clients may be more likely to make successful changes when practitioners use communication techniques appropriate for a client's current stage. The objective of this cross-sectional study was to assess pet owners' SOC in relation to managing the weight of their overweight or obese pet. METHODS: An online questionnaire targeting dog and cat owners was distributed via snowball sampling. A total of 532 questionnaires were included in the analysis. Of these, 153 participants (28.8%) self-identified their pet's body condition score (BCS) as greater than 5 (on a nine-point scale). An adapted University of Rhode Island Change Assessment scale was completed by 119 of these participants (77.8%) to assess their readiness to change related to managing their overweight or obese pet. RESULTS: Most participants were scored in the precontemplation (52.1%) and contemplation (42%) stages, where readiness to change is low. Owner assessments likely resulted in underestimation of pets' BCS. CONCLUSION: The results offer preliminary insight into the SOC of owners who identify their pets as overweight or obese. Developing tools to assess and understand owners' readiness to change may be useful in informing veterinary professionals' communication approaches when engaging in weight management conversations.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.913
Threshold uncertainty score0.911

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 science0.0000.001
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 head0.114
GPT teacher head0.385
Teacher spread0.271 · 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

Citations9
Published2022
Admission routes2
Has abstractyes

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