Evidence map›Paper›PMID 39179116›Full record

ArticleAgeing research reviews2024

The role of technology-based dance intervention for enhancing wellness: A systematic scoping review and meta-synthesis.

Dan Tao, Roger Awan-Scully, Garrett I Ash, Alistair Cole, Pei Zhong, Yang Gao, Yan Sun, Shuai Shao, Huw Wiltshire, Julien S Baker

Abstract readScoping Review
In one paragraph

Article in Ageing research reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Dan TaoAcademy 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. Electronic address: 21483132@life.hkbu.edu.hk.
Roger Awan-ScullyAcademy of Geography, Sociology, and International Studies, Hong Kong Baptist University, Hong Kong 999077, China. Electronic address: awanscully@hkbu.edu.hk.
Garrett I AshSection of General Internal Medicine, Yale School of Medicine, Yale University, New Haven, CT 06510, USA; Center for Pain, Research, Informatics, Medical Comorbidities and Education Center (PRIME), VA Connecticut Healthcare System, West Haven, CT 06510, USA. Electronic address: garrett.ash@yale.edu.
Alistair ColeAcademy of Geography, Sociology, and International Studies, Hong Kong Baptist University, Hong Kong 999077, China. Electronic address: alistaircole@hkbu.edu.hk.
Pei ZhongDepartment of Neurology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China. Electronic address: peizhong@mail.sysu.edu.cn.
Yang GaoAcademy of Wellness and Human Development, Hong Kong Baptist University, Hong Kong 999077, China. Electronic address: gaoyang@hkbu.edu.hk.
Yan SunAcademy of Wellness and Human Development, Hong Kong Baptist University, Hong Kong 999077, China. Electronic address: 19482302@life.hkbu.edu.hk.
Shuai ShaoSection of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine, Yale University, New Haven, CT 06510, USA; Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China. Electronic address: s.shao@yale.edu.
Huw WiltshireSchool of Sport and Health Sciences, Cardiff Metropolitan University, Cardiff CF236XD, United Kingdom. Electronic address: hwiltshire@cardiffmet.ac.uk.
Julien S BakerAcademy of Geography, Sociology, and International Studies, Hong Kong Baptist University, Hong Kong 999077, China. Electronic address: juliensbakerw@gmail.com.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Informatics-Based Digital Application to Promote Safe Exercise in Middle-Aged Adults with Type 1 DiabetesK01DK129441 · NIDDK · YALE UNIVERSITY · PI Garrett Igo Ash · 2022 to 2026
$950k
NCATS NIH HHS UL1 TR001863NIDDK NIH HHS K01 DK129441
6 · The paper itself

Abstract

backgroundDance 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.

methodsA 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.

resultsA 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.

conclusionThe 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.

Indexed as

DancingHealth PromotionDance TherapyExerciseHumansTelemedicineAgingDanceExergamingmHealthOnline

Identifiers

PMID39179116
PMCPMC11383796

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.