PAWSing Student Stress: A Pilot Evaluation Study of the St. John Ambulance Therapy Dog Program on Three University Campuses in Canada/Museler le Stress Chez L'étudiant : ÉTude Pilote D'évaluation Menée Sur Trois Campus Universitaires Au Canada Dans le Cadre Du Programme De Zoothérapie Canine d'Ambulance Saint-Jean
Notice bibliographique
Résumé
Animals are firmly embedded in many family units and are often included in how families define themselves (Tedeschi, Fitchett, & Molidor, 2005; Vanier Institute, 2009). More than one half of North American households have an animal living in them (McNicholas & Collis, 2006; Perrin, 2009; Stats, Pierfelice, Kim, & Crandell, 1999), with nearly half of those animals being dogs (Humane Society of the United States, 2014). Young adults who move away from the family home to attend university often leave behind important supports in their lives, including companion animals. With student mental health growing concern on Canadian university campuses in recent years, therapy dogs were first formally introduced in 2012 at the University of Ottawa. This article begins by situating the mental health needs of students on Canadian campuses and the growth of animal-assisted interventions as one response. The goals of the St. John Ambulance (SJA) Therapy Dog program-to offer love and support-are then established. Next, the immediate and three-month follow-up outcomes of pilot evaluation study of the program at three Canadian universities (University of Saskatchewan, University of Regina, and McMaster University) are reviewed during final examination period. It was found that the therapy dogs unequivocally offer love and support to students. Love was understood as having reciprocal love for the dogs and gaining positive feelings from visiting with them. Support was understood by students as destressing and relaxing from interacting with the dogs and to much lesser extent with the handlers. These findings, coupled with recent literature, also raise concern about female students identifying greater level of in their lives than males. This article makes an important contribution to the flourishing practice of, but dearth of empirical understanding about, animal-assisted activities on university campuses. Implications for mental health supports for university students are suggested.Animal-Assisted InterventionsAnimal-assisted interventions (AAIs) is the umbrella term for any intervention that includes or incorporates animals as part of therapeutic process (Fine & Beck, 2010). Canine-specific AAIs include animal-assisted therapy (AAT), where, for example, dog is part of therapeutic counselling session. AAIs also include animal-assisted activities (AAAs), which are the focus of this article. Animal-assisted activities provide opportunities for motivational, educational, recreational, and/or therapeutic benefits to enhance quality of life (Kruger & Serpell, 2006, p. 23). Specially trained professionals, paraprofessionals, and volunteers visit in variety of contexts with animals that meet specific criteria (Pet Partners, n.d.). An AAA is typically informal, takes places in variety of environments, and is not targeted at any specific medical condition or person (Huss, 2012, p. 444). While AAAs are explicitly not therapy (i.e., treatment goals are not identified), they can be therapeutic. The human-animal bond was introduced as concept in psychiatry, psychology, and sociology as early as the 1940s (Young, 2012). Today, the American Veterinary Medical Association recognizes that[t]he human-animal bond is mutually beneficial and dynamic relationship between people and animals that is influenced by behaviors that are essential to the health and well-being of both. This includes, but is not limited to, emotional, psychological, and physical interactions of people, animals, and the environment. (American Veterinary Medical Association, n.d.)Young (2012) describes the mental and physiological experience of AAT and AAAs as a tactile process whereby unconditional attachment bonds form between animals and humans, inducing relaxation by reducing cardiovascular reactivity to stress (p. 218). Yet there is ongoing skepticism toward AAIs because of historic absence of empirical research measuring outcomes (Borrego et al. …
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».