Aoife Stephenson
Using computer, mobile and wearable technology enhanced interventions to reduce sedentary behaviour: a systematic review and meta-analysis.
Stephenson, Aoife; McDonough, Suzanne M.; Murphy, Marie H.; Nugent, Chris D.; Mair, Jacqueline L.
Authors
Suzanne M. McDonough
Marie H. Murphy
Chris D. Nugent
Jacqueline L. Mair
Abstract
Background High levels of sedentary behaviour (SB) are associated with negative health consequences. Technology enhanced solutions such as mobile applications, activity monitors, prompting software, texts, emails and websites are being harnessed to reduce SB. The aim of this paper is to evaluate the effectiveness of such technology enhanced interventions aimed at reducing SB in healthy adults and to examine the behaviour change techniques (BCTs) used. Methods Five electronic databases were searched to identify randomised-controlled trials (RCTs), published up to June 2016. Interventions using computer, mobile or wearable technologies to facilitate a reduction in SB, using a measure of sedentary time as an outcome, were eligible for inclusion. Risk of bias was assessed using the Cochrane Collaboration’s tool and interventions were coded using the BCT Taxonomy (v1). Results Meta-analysis of 15/17 RCTs suggested that computer, mobile and wearable technology tools resulted in a mean reduction of −41.28 min per day (min/day) of sitting time (95% CI -60.99, −21.58, I2 = 77%, n = 1402), in favour of the intervention group at end point follow-up. The pooled effects showed mean reductions at short (≤ 3 months), medium (>3 to 6 months), and long-term follow-up (>6 months) of −42.42 min/day, −37.23 min/day and −1.65 min/day, respectively. Overall, 16/17 studies were deemed as having a high or unclear risk of bias, and 1/17 was judged to be at a low risk of bias. A total of 46 BCTs (14 unique) were coded for the computer, mobile and wearable components of the interventions. The most frequently coded were “prompts and cues”, “self-monitoring of behaviour”, “social support (unspecified)” and “goal setting (behaviour)”. Conclusion Interventions using computer, mobile and wearable technologies can be effective in reducing SB. Effectiveness appeared most prominent in the short-term and lessened over time. A range of BCTs have been implemented in these interventions. Future studies need to improve reporting of BCTs within interventions and address the methodological flaws identified within the review through the use of more rigorously controlled study designs with longer-term follow-ups, objective measures of SB and the incorporation of strategies to reduce attrition.
Citation
Stephenson, A., McDonough, S. M., Murphy, M. H., Nugent, C. D., & Mair, J. L. (2017). Using computer, mobile and wearable technology enhanced interventions to reduce sedentary behaviour: a systematic review and meta-analysis. The international journal of behavioral nutrition and physical activity, 14(1), https://doi.org/10.1186/s12966-017-0561-4
Journal Article Type | Article |
---|---|
Acceptance Date | Aug 4, 2017 |
Online Publication Date | Aug 11, 2017 |
Publication Date | 2017-12 |
Deposit Date | Aug 22, 2017 |
Publicly Available Date | Aug 23, 2017 |
Journal | International Journal of Behavioral Nutrition and Physical Activity |
Print ISSN | 1479-5868 |
Publisher | BMC |
Peer Reviewed | Peer Reviewed |
Volume | 14 |
Issue | 1 |
DOI | https://doi.org/10.1186/s12966-017-0561-4 |
Keywords | Physical Therapy, Sports Therapy and Rehabilitation; Nutrition and Dietetics; Medicine (miscellaneous) |
Public URL | http://researchrepository.napier.ac.uk/Output/978550 |
Contract Date | Aug 22, 2017 |
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Using computer, mobile and wearable technology enhanced interventions to reduce sedentary behaviour: a systematic review and meta-analysis
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© The Author(s). 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0
International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and
reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to
the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver
(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
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