A Literature Review on the Effect of Pet-assisted Therapy on the Mental Health of Children
Bibliographic record
Abstract
Recently, children are more likely to experience mental health issues because of the increasing stress. Pet-assisted therapy (PAT) can set up a safe relationship between children and therapist and provide emotional support to children through the interaction between children and animals. This literature review is intended to explore the effect of PAT on children and children with diseases. The results display that PAT can promote children’s emotional understanding capacity and self-confidence and alleviate the negative impacts of childhood trauma. In addition, it can decrease children’s negative emotions resulting from hospitalization and benefit special needs children and their families. However, existing experimental results are inconsistent in the aspect of its effects on physical arousal. Hence, studies focused on physical arousal are needed to further support the effects of PAT on children’s mental health. In terms of application, it is expected to improve children’s psychological well-being by conducting in healthcare, homes, and school settings.
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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) | 0.001 | 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 | 0.001 |
| 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".