Older Adults’ Use of SOC Strategies for Leisure Participation Following an Acute Health Event: Implications for Recreation Service Delivery
Notice bibliographique
Résumé
EXECUTIVE SUMMARY: Participating in leisure or recreation pursuits can be an important part of recovering and maintaining health and well-being following an acute health event (e.g., a fall or stroke). However, there is a need to identify how to best support individuals to be successful in community recreation contexts when they live with ongoing limitations. This paper draws on Selective Optimization with Compensation (SOC) theory to examine the ways rural community dwelling older adults were able to continue valued activities after an acute health event. SOC involves overlapping processes of selection, optimization and compensation. Selection involves prioritizing goals or activities to maintain or improve abilities. Optimization refers to strategies to make the most of a chosen pursuit (e.g., monitoring energy) and compensation involves modifying activities or using adaptive aids to compensate for limitations. Although there has been previous attention to the use of SOC in therapeutic recreation practice, there is a need to consider its role in guiding the work of community recreation practitioners who may interact with older adults living with ongoing health challenges. Eleven adults (four males and seven females, ranging in age from 53 to 89) were recruited from two rehabilitation units located in rural health jurisdictions in eastern Canada after being hospitalized for a variety of reasons (e.g., due to a stroke, fall, hip replacement). Three typologies reflected patterns of adaptation following the transition home. For three of the 11 participants, Life as New Normal referred to re-establishing their lives in ways that enabled them to pursue goals based on activity preferences. For five participants, Making the Best of It reflected a resignation that they were trying to make the best of a less than ideal situation. The remaining participants reflected a pattern of Struggling to Survive , wherein they were unable to effectively use SOC processes to maintain participation in valued activities. What can we learn from these experiences for recreation practice? First, any interaction between recreation staff and participants can be an opportunity to support goal setting, problem solving and taking action. Helping people learn SOC strategies can help those who may lack knowledge, skills or confidence to participate independently. Second, creating opportunities for peer support can enhance confidence and motivation. Finally, there is a need for recreation practitioners to communicate and collaborate with health services providers to provide better support to individuals in the transition home following an acute health event.
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 | 0,001 |
| 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 ».