Yitong Huang
Digital interventions to reduce sedentary behaviors of office workers: Scoping review
Huang, Yitong; Benford, Steve; Blake, Holly
Authors
STEVE BENFORD steve.benford@nottingham.ac.uk
Dunford Chair in Computer Science
HOLLY BLAKE holly.blake@nottingham.ac.uk
Professor of Behavioural Medicine
Abstract
© Yitong Huang, Steve Benford, Holly Blake. Background: There is a clear public health need to reduce office workers’ sedentary behaviors (SBs), especially in the workplace. Digital technologies are increasingly being deployed in the workplace to measure and modify office workers’ SBs. However, knowledge of the range and nature of research on this topic is limited; it also remains unclear to what extent digital interventions have exploited the technological possibilities. Objective: This study aimed to investigate the technological landscape of digital interventions for SB reduction in office workers and to map the research activity in this field. Methods: Terms related to SB, office worker, and digital technology were applied in various combinations to search Cochrane Library, Joanna Briggs Institute Database of Systematic Reviews, MEDLINE, PsycARTICLES, PsycINFO, Scopus, Association for Computing Machinery Digital Library, Engineering index Compendex, and Google Scholar for the years 2000 to 2017. Data regarding the study and intervention details were extracted. Interventions and studies were categorized into development, feasibility and/piloting, evaluation, or implementation phase based on the UK Medical Research Council (MRC) framework for developing and evaluating complex interventions. A novel framework was developed to classify technological features and annotate technological configurations. A mix of quantitative and qualitative approaches was used to summarize data. Results: We identified 68 articles describing 45 digital interventions designed to intervene with office workers’ SB. A total of 6 common technological features had been applied to interventions with various combinations. Configurations such as “information delivery and mediated organizational and social support” and “digital log and automated tailored feedback” were well established in evaluation and implementation studies; in contrast, the integration of passive data collection, connected devices, and ATF or scheduled prompts was mostly present in development and piloting research. Conclusions: This review is the first to map and describe the use of digital technologies in research on SB reduction in office workers. Interdisciplinary collaborations can help to maximize the potential of technologies. As novel modes of delivery that capitalize on embedded computing and electronics, wireless technologies have been developed and piloted in engineering, computing, and design fields, efforts can be directed to move them to the next phase of evaluation with more rigorous study designs. Quality of research may be improved by fostering conversations between different research communities and encouraging researchers to plan, conduct, and report their research under the MRC framework. This review will be particularly informative to those deciding on areas where further research or development is needed and to those looking to locate the relevant expertise, resources, and design inputs when designing their own systems or interventions.
Citation
Huang, Y., Benford, S., & Blake, H. (2019). Digital interventions to reduce sedentary behaviors of office workers: Scoping review. Journal of Medical Internet Research, 21(2), Article e11079. https://doi.org/10.2196/11079
Journal Article Type | Article |
---|---|
Acceptance Date | Sep 12, 2018 |
Online Publication Date | Sep 12, 2018 |
Publication Date | Feb 1, 2019 |
Deposit Date | Sep 18, 2018 |
Publicly Available Date | Sep 18, 2018 |
Electronic ISSN | 1438-8871 |
Publisher | JMIR Publications |
Peer Reviewed | Peer Reviewed |
Volume | 21 |
Issue | 2 |
Article Number | e11079 |
DOI | https://doi.org/10.2196/11079 |
Keywords | Telemedicine; Sedentary behaviour; Digital technology |
Public URL | https://nottingham-repository.worktribe.com/output/1080612 |
Publisher URL | https://www.jmir.org/2019/2/e11079/ |
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