Correlates of Dietary Changes During COVID-19 in Immunosuppressed Individuals and Their Relatives: Alignment with Nutritional Recommendations
Bibliographic record
Abstract
Background/Objectives: The sanitary measures implemented during the COVID-19 pandemic, although essential for limiting the virus propagation, hindered healthy behaviours and negatively affected mental health and quality of life. In immunosuppressed individuals at higher risk of COVID-19 complications, these measures may have influenced adherence to Canada’s Food Guide 2019 (CFG-2019). This study aims to describe whether changes in eating behaviours and food consumption during the COVID-19 pandemic were aligned with CFG-2019 and identify correlates of changes in immunosuppressed individuals and their relatives. Methods: A total of 210 participants completed an online questionnaire between May and September 2021. Changes in eating behaviours and food consumption were categorized as no change, change aligned with CFG-2019, or change not aligned. Multinomial logistic regressions examined the association between sociodemographic, lifestyle, clinical, and psychosocial characteristics and changes in eating behaviours and food consumption. Results: Participants reporting no change in eating behaviours, change aligned, and change not aligned with CFG-2019 were nearly equivalent (29.4%, 33.8%, and 36.8%, respectively). For food consumption, the proportions were 17.0%, 41.2%, and 41.8%, respectively. Reduced physical activity and elevated anxiety and depressive symptoms were associated with a change in eating behaviours not aligned with CFG-2019. Perceived weight gain and decreased body image satisfaction were associated with a non-aligned change in food consumption. Conclusions: Dietary changes, aligned or not with CFG-2019, were observed among immunosuppressed individuals and their relatives during the COVID-19 pandemic. Identifying factors associated with these changes can inform future studies to support healthy eating among vulnerable individuals amidst stressful events such as the COVID-19 pandemic.
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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 | 0.000 | 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".