Family Bonds with Pets and Mental Health during COVID-19 in Australia: A Complex Picture
Bibliographic record
Abstract
The COVID-19 pandemic has drawn attention to the health-promoting features of human-animal relationships, particularly for families with children. Despite this, the World Health Organization’s (1986) Ottawa Charter remains human-centric. Given the reciprocal health impacts of human-animal relationships, this paper aims to (i) describe perceived pet-related benefits, worries, and family activities; and to (ii) examine differences in perceived benefits, worries, and activities for parents and children with and without clinical mental health symptoms. We recruited 1034 Australian parents with a child < 18 years and a cat or dog via a national online survey between July and October 2020. Most parents reported their pet was helpful for their own (78%) and their child’s mental health (80%). Adjusted logistic regression revealed parents with clinical psychological distress were 2.5 times more likely to be worried about their pet’s care, well-being, and behaviour (OR = 2.56, p < 0.001). Clinically anxious children were almost twice as likely to live in a family who engages frequently in pet-related activities (e.g., cooked treats, taught tricks, OR = 1.82, p < 0.01). Mental health and perceived benefits of having a pet were not strongly associated. Data support re-framing the Ottawa Charter to encompass human-animal relationships, which is an often-neglected aspect of a socioecological approach to health.
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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 | 0.000 |
| 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".