Protecting individuals living with overweight and obesity: Attitudes and concerns toward COVID‐19 vaccination in Canada
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to assess attitudes toward coronavirus disease 2019 (COVID-19) vaccination and the degree of fear of COVID-19 among those living with obesity. METHODS: Two samples were recruited for an online survey: one sample was a representative sample of Canadians living with overweight and obesity (n = 1,089), and the second was a convenience sample of individuals recruited from obesity clinical services or patient organizations (n = 980). Respondents completed ratings of their comfort receiving a COVID-19 vaccination along with the Vaccine Hesitancy Scale and the Fear of COVID-19 Scale. RESULTS: Approximately one-third of respondents, regardless of sample or weight category, were not comfortable receiving a vaccination, and one-half expressed moderate or greater perceived risks of vaccination. Confidence in vaccinations was extremely low, especially for those in the clinical sample. Fear of COVID-19 was substantial and predicted attitudes toward vaccination. Females were less comfortable receiving the vaccine and perceived more risks than males. CONCLUSIONS: These results suggest those living with obesity are highly ambivalent about COVID-19 vaccination. Despite their being at high risk, their confidence in vaccines is very low. Results suggest the need for patient-centered counseling, with a focus on shared decision-making to strengthen confidence and reduce perceived risk.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".