Social determinants of long-term reported changes in physical activity and healthy eating during the COVID-19 pandemic in Canada: multiple cross-sectional surveys analysis from the iCARE study
Bibliographic record
Abstract
The long-term consequences of COVID-19 on healthy behaviours (physical activity practice and healthy eating) among Canadians remain largely unexplored. The objectives were (i) to describe the proportion of Canadians who reported a change in healthy behaviours, 9 and 20 months since the beginning of COVID-19; and (ii) to identify the social determinants associated with healthy behaviour changes. Using two representative Canadian surveys from the International COVID-19 Awareness and Responses Evaluation study (January 2021, n = 3000; November 2021, n = 3002), reported changes in healthy behaviours were assessed as follows: “In general, how have the following behaviours changed since the start of COVID-19?”: (1) Increase; (2) No change; and (3) Decrease. The association between individual determinants and changes in healthy behaviours was analyzed using weighted univariate polytomous logistic regression models. In January 2021, 41% and 22% of respondents reported a decline in physical activity and healthy eating, respectively, while in November 2021, 34% and 20% of respondents reported a decline in physical activity and healthy eating, respectively. The main determinants associated with changes in healthy behaviours were younger age (18–25 years), area of residency, student status, changes in bodyweight, financial concerns/insecurity, anxiety/depression, and ethnicity. Changes in healthy behaviours were also associated with household composition, presence of chronic diseases, and occupation. In sum, this study depicted long-term changes in healthy behaviours during COVID-19, with differential changes according to social determinants of health. This study highlighted the presence of health inequalities in Canada during COVID-19 and supports the implementation of personalized programs in prevention of healthy behaviour degradation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".