Editorial: Dance, embodied agency and neuroplasticity in aging
Notice bibliographique
Résumé
Dance is a multi-modal artistic engagement whose group-delivered protocols have resulted in positive impacts on elderly health (Roberts et al 2017; Liu, Shen, and Tsai, 2021). Since the 2022 special topic issue on dance and the elderly was published (Markula, Clark and Goodwin 2022), reports from arts-science research collaborations have shown numerous ways person- and community-centered arts-based approaches have extended health across quality-of-life domains among aging adults (Fancourt and Steptoe, 2019; Golden, et al., 2023). For dance, such improvements have been reported from training in many different dance styles – structured (modern dance), improvisational, culturally stylized and technologically-assisted. The research is promising, particularly as many barriers to dancing have been removed and ease of access has improved for diverse populations. Nonetheless, important research gaps remain, specifically in articulating the social benefits of dance and their impact on agency (Karczmarska 2023; Jensen, et al., 2024; Kontos and Grigorovich, 2018). As an aesthetic art form, dance participation couples brain-body health with a range of communicative abilities bearing on relationality and meaning (Warburton 2011). Data on psychosocial skills of attention, listening, cooperation, self-regulation and empathy are not commonly collected or reported in quantitative research. Valuing such nontangible factors is particularly relevant first in promoting independence and in decreasing the perceived and actual burden of aging on general health and wellbeing. Further, critical to research advancement is the need to distinguish and differentiate functional and neuroplastic outcomes comparing dance protocols with comparable dosages of repetitive fitness exercise (Rehfeld, et al., 2018; Müller, et al., 2017). Last, the impact of aesthetic factors on health remains understudied (Chappell et al, 2021; Fontanesi 2021). For this special research topic issue on dance and health in older adults, our interest focused around the interaction of qualitative and quantitative factors. Specifically, we solicited studies that address how dance participation could foster embodied agency, as well as induce positive neuroplastic changes in the brains of the elderly across different populations. Manuscripts submitted reflected a global scope of collaborative research between dance educators and neurological and behavioral scientists, including Brazil, Canada, Italy, the United Kingdom, and the United States). Included in this collection are original clinical research, case series, conceptual analysis, and perspectives papers, in which researchers critically analyze interrelated connections and interactions of physical psychological, aesthetic, cultural and social meanings of dance for older persons. Although the collection offers a small sampling of the scope of the topic of embodied agency through dance (9 articles, plus Editorial), they represent an evocative variety of mixed methodologies in both quantitative science and qualitative phenomenological, sociological and cultural research. The issue opens with a perspective by Sheets-Johnstone, dance philosopher, who emphasizes the need to explicate the neurological and kinesthetic coordination dynamics embodied within dance, dynamics which are critical to engendering health of the whole body.In a conceptual analysis of an Italian study on dance and Parkinson’s disease, Houston extrapolates ‘soft skills’ – ‘anoetic knowledge,’ data which, when expressed through dance, preface a sensate, emotional and affective state of mind - one critical to self- and other-care, vulnerability, patience, and other indicators of meaningful social engagement.Other samples from the collection include original clinical research: a randomized controlled study on social determinants of health by Worthen-Chadhuri et al., reporting improvements in autonomy, competence and relatedness for persons with chemotherapy-induced neuropathy. In three studies, researchers designed digitally assisted technology in their dance/movement protocols: First, Delabary et al. reported sustained improvements from Brazilian dance for older adults living with Parkinson’s disease, despite switching from on-site to online learning during the COVID 19 epidemic. Second, emplying a protocol or virtual ballet and wellness classes, Harrison et al. reported combined qualitative and quantitaqtive improvements in measures of social efficacy and gait and balance for a group of elderly women. Third, the use of group-delivery of visual assisted feedback of hand gestures by Hansen, et al. proved aesthetically ‘irresistible,’ in stimulating movement learning.The article by Barnstaple et al., speaks to the need for transdisciplinary researchers to rise to the challenge of capturing nuance in ‘full bodied reporting.’ They pose methodological questions and offer guidelines that point the way towards improving sensitivity, reliability and replicability in research designs. We invite readers to explore all the articles in this collection and thank Frontiers for affording us the opportunity to pursue this project. We trust that in reading the articles in this special issue, readers will broaden their understanding of ways that dance offers a lived experience of embodiment, relationality, and meaning, integral to building a paradigm of mind and body holism and unity. As scientists consider the value of dance on health and wellbeing in aging, the collective contributions of the artists, participants, and clinicians will assist in building authentic and mutually beneficial relationships among the medical and public communities served.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,025 |
| Méta-épidémiologie (sens strict) | 0,006 | 0,001 |
| Méta-épidémiologie (sens large) | 0,006 | 0,005 |
| Bibliométrie | 0,005 | 0,002 |
| Études des sciences et des technologies | 0,004 | 0,003 |
| Communication savante | 0,009 | 0,006 |
| Science ouverte | 0,005 | 0,002 |
| Intégrité de la recherche | 0,020 | 0,016 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,035 | 0,021 |
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 source (Gemma direct ou Codex distillé), 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 ».