Ulster University Logo

Using computer, mobile and wearabletechnology enhanced interventions toreduce sedentary behaviour: a systematicreview and meta-analysis

Stephenson, Aoife, McDonough, S M, Murphy, MH, Nugent, Chris and Mair, Jacqueline L. (2017) Using computer, mobile and wearabletechnology enhanced interventions toreduce sedentary behaviour: a systematicreview and meta-analysis. International Journal of Behavioural Nutrition and Physical Activity, 14 . p. 105. [Journal article]

[img] Text - Published Version
2MB

DOI: 10.1186/s12966-017-0561-4

Abstract

AbstractBackground: High levels of sedentary behaviour (SB) are associated with negative health consequences.Technology enhanced solutions such as mobile applications, activity monitors, prompting software, texts, emailsand websites are being harnessed to reduce SB. The aim of this paper is to evaluate the effectiveness of suchtechnology enhanced interventions aimed at reducing SB in healthy adults and to examine the behaviour changetechniques (BCTs) used.Methods: Five electronic databases were searched to identify randomised-controlled trials (RCTs), published up toJune 2016. Interventions using computer, mobile or wearable technologies to facilitate a reduction in SB, using ameasure of sedentary time as an outcome, were eligible for inclusion. Risk of bias was assessed using the CochraneCollaboration’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 ina mean reduction of −41.28 min per day (min/day) of sitting time (95% CI -60.99, −21.58, I2 = 77%, n = 1402), infavour 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/dayand −1.65 min/day, respectively. Overall, 16/17 studies were deemed as having a high or unclear risk of bias, and1/17 was judged to be at a low risk of bias. A total of 46 BCTs (14 unique) were coded for the computer, mobileand wearable components of the interventions. The most frequently coded were “prompts and cues”, “self-monitoringof 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 beenimplemented in these interventions. Future studies need to improve reporting of BCTs within interventions andaddress the methodological flaws identified within the review through the use of more rigorously controlled studydesigns with longer-term follow-ups, objective measures of SB and the incorporation of strategies

Item Type:Journal article
Keywords:Sedentary behaviour, Behaviour change, Randomised-controlled trials, Systematic review, Digital technology
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Faculty of Life and Health Sciences > School of Sport
Faculty of Life and Health Sciences
Faculty of Life and Health Sciences > School of Health Sciences
Research Institutes and Groups:Institute of Nursing and Health Research > Centre for Health and Rehabilitation Technologies
Institute of Nursing and Health Research
Computer Science Research Institute > Smart Environments
Computer Science Research Institute
Sport and Exercise Sciences Research Institute
Sport and Exercise Sciences Research Institute > Centre for Physical Activity and Health
ID Code:38460
Deposited By: Professor Marie Murphy
Deposited On:16 Aug 2017 08:08
Last Modified:17 Oct 2017 16:31

Repository Staff Only: item control page