Pet ownership and lifestyle behaviours of immunosuppressed individuals and their relatives in the context of COVID-19 pandemic
Bibliographic record
Abstract
The COVID-19 pandemic and containment measures will likely have a detrimental impact on immunosuppressed individuals' lifestyle behaviours. Increasing evidence suggests that pet ownership is positively associated with healthier lifestyle. Yet, no study has investigated the potential benefits of pet ownership on lifestyle behaviours of immunosuppressed individuals, a population at increased risk of COVID-19 complications. This study aims to examine 1) changes in light, moderate and vigorous intensity physical activity (LPA, MPA, VPA), sedentary time (SED), and sleep duration, assessed by comparing "before COVID-19 pandemic" and "past 7 days" (i.e., current, during pandemic) self-reported behaviours in immunosuppressed individuals and their relatives; 2) to assess if changes in lifestyle behaviours are associated with pet ownership status and whether age is a moderator of these associations. A convenience sample of 132 participants (65.2% female, 41.3% ≥55 years of age) provided self-reported LPA, MPA, VPA (days/week), SED and sleep (min/day) and pet ownership status using an online questionnaire (May-August 2020). Descriptive analyses, paired T-tests, Cohen's d effect size and linear regressions were conducted. Results show that participants reported a decrease in VPA (-0.56 days/week, d = 0.34; p < 0.01) and an increase in SED (106.79 min/day, d = -0.81; p < 0.01). Stratified analysis revealed that having at least one dog, compared to not owning pets, is associated with a reduced decline in LPA, MPA and VPA and an increase in sleep in participants aged < 55 years old only. Having a dog appears to be positively associated with healthy lifestyle behaviours in younger and middle age immunosuppressed individuals.
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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 | 0.000 | 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".