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Updated: Jun 15, 2025
Community-based Adapted Tango Dancing for Individuals with Parkinson's Disease and Older Adults
Published on: December 9, 2014
The role of technology-based dance intervention for enhancing wellness: A systematic scoping review and
Dan Tao1, Roger Awan-Scully2, Garrett I Ash3
1Academy of Geography, Sociology, and International Studies, Hong Kong Baptist University, Hong Kong 999077, China; Section of General Internal Medicine, Yale School of Medicine, Yale University, New Haven, CT 06510, USA.
Background:
Dance represents a promising alternative to traditional physical activity (PA), appealing due to its ease of implementation and its associated health benefits. By incorporating technology-based dance interventions into the development of PA programs, there is potential to significantly increase PA participation and improve fitness levels across diverse population groups. This systematic scoping review and meta-synthesis aimed to investigate the effectiveness of technology-based dance interventions as a means of advancing public health objectives.
Methods:
A comprehensive literature review was conducted using various databases ( PubMed, Web of Science, ProQuest, MEDLINE, and SPORTDiscus) to identify pertinent publications. We specifically focused on studies evaluated the impact of technology-based dance interventions on health-related outcomes and PA levels. Methodological quality assessment was carried out using the Cochrane RoB 2 and ROBINS-I tools. Data analysis and theme identification were facilitated using NVivo 14. Additionally, this study was registered on the Open Science Framework at https://osf.io/rynce/registrations.
Results:
A total of 3135 items identified through the literature search. Following screening, twelve items met the study's inclusion criteria, with an additional three articles located through manual searching. These 15 studies examined on three types of technology-based dance intervention: mobile health (mHealth) combination, online /telerehabilitation classes, and exergaming dance programs. The analysis included 344 participants, with mean ages ranging from 15.3 ± 1.2-73.6 ± 2.2 years. There were five population groups across the studies: middle-aged and older adults, individuals with Parkinson's disease (PD), individuals with stroke, overweight adults, and overweight adolescents. The meta-synthesis revealed three primary themes: Acceptability, Intervention effects, and Technology combinations.
Conclusion:
The advantages highlighted in this scoping review and meta-synthesis of technology-based dance interventions indicating that this type of PA could provide an effective solution to the growing issue of physical inactivity. It also presents a promising strategy for systematically improving fitness and health across populations, particularly among older individuals.
