The challenge of pet therapy in systemic sclerosis: evidence for an impact on pain, anxiety, neuroticism and social interaction.
Bibliographic record
Abstract
OBJECTIVES: The aim of our study was to evaluate the effect of animal-assisted intervention (AAI), a complementary support to traditional therapies focused on the interaction between animals and human beings, in improving psychological trait, anxiety and pain in a cohort of systemic sclerosis (SSc) patients. METHODS: 42 SSc patients, undergoing iloprost intravenous infusion, were divided in three groups: 1) 14 patients submitted to 20 AAI sessions; 2) 14 patients engaged in alternative social activity (control group 1 - C1); and 3) 14 patients without any alternative activity (control group 2 - C2). All patients underwent Visual Analog Scale (VAS), the State-anxiety (STAI-S) and emotional faces at the beginning (s0) and at the end (s1) of each single session, while General Anxiety State-Trait Anxiety Inventory (STAI-T), Beck Depression Inventory (BDI), Social Interaction Anxiety Scale (SIAS), Eysenck Personality Questionnaire-Revised (EPQ-R), the Social Phobia Scale (SPS), the Toronto Alexythymia Scale (TAS-20), the Thought Control Questionnaire (TCQ) were administered at baseline (t0) and at the end of the project (t1). RESULTS: AAI group showed a significant decrease of the anxiety state level in respect to the two control groups (p<0.001). VAS scale resulted lower both in AAI (p < 0.001) and C1 group (p<0.01). Moreover, STAI-T and TAS scores were significantly reduced in AAI group (p<0.001). TCQ scale showed that patients treated with AAI, compared to control group C2, had greater capacity to avoid unpleasant and unwanted thoughts (p<0.05). In AAI group, the EPQ-R test revealed an enhancement of extroversion trait compared to both control groups (p<0.05). CONCLUSIONS: Our data show that AAI significantly reduces pain perception, anxiety, neuroticism and ameliorates patients' social interaction, therefore it may be a useful to allow a better compliance to traditional therapies.
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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".