A cross-sectional study of pet owners’ attitudes and intentions towards nutritional guidance received from veterinarians
Bibliographic record
Abstract
BACKGROUND: Beliefs of pet owners strongly influence their decision-making surrounding their pets' diet. Thus, nutritional guidance is an essential component of veterinary practice and integral to managing rising rates of pet obesity. This study examined pet owners' trust of, perceived effectiveness of, and intentions to follow nutritional guidance received from their veterinarian in managing their pets' diet. METHODS: A cross-sectional study of 1402 dog and cat owners in the USA and Canada was conducted using an online questionnaire tool. Data were analysed using descriptive statistics and logistic regression modelling. RESULTS: Clients are concerned about the effectiveness of veterinary nutrition recommendations. Cat owners were more likely than dog owners to consider the nutritional guidance they receive from veterinarians effective for their pets' diet (1.75, P=0.04). Length of pet ownership, feeding dry diets and frequency of veterinary visits were all positively associated with owners considering veterinary nutritional guidance to be effective in managing pets' diet. CONCLUSION: Identifying these perspectives can aid in developing strategies to provide nutrition support to pet owners to improve their perceptions of, self-efficacy with, and compliance with veterinary nutrition recommendations.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".