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

Aoife Stephenson, S M McDonough, MH Murphy, Chris Nugent, Jacqueline L. Mair

Research output: Contribution to journalArticle

29 Citations (Scopus)

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
LanguageEnglish
Pages105
JournalInternational Journal of Behavioural Nutrition and Physical Activity
Volume14
DOIs
Publication statusAccepted/In press - 2 Aug 2017

Fingerprint

Meta-Analysis
Technology
Randomized Controlled Trials
Mobile Applications
Social Support
Cues
Software
Databases
Health

Keywords

  • Sedentary behaviour
  • Behaviour change
  • Randomised-controlled trials
  • Systematic review
  • Digital technology

Cite this

@article{55ac25b40d32407aa66b72164e9eb264,
title = "Using computer, mobile and wearabletechnology enhanced interventions toreduce sedentary behaviour: a systematicreview and meta-analysis",
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",
keywords = "Sedentary behaviour, Behaviour change, Randomised-controlled trials, Systematic review, Digital technology",
author = "Aoife Stephenson and McDonough, {S M} and MH Murphy and Chris Nugent and Mair, {Jacqueline L.}",
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language = "English",
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TY - JOUR

T1 - Using computer, mobile and wearabletechnology enhanced interventions toreduce sedentary behaviour: a systematicreview and meta-analysis

AU - Stephenson, Aoife

AU - McDonough, S M

AU - Murphy, MH

AU - Nugent, Chris

AU - Mair, Jacqueline L.

PY - 2017/8/2

Y1 - 2017/8/2

N2 - 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

AB - 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

KW - Sedentary behaviour

KW - Behaviour change

KW - Randomised-controlled trials

KW - Systematic review

KW - Digital technology

U2 - 10.1186/s12966-017-0561-4

DO - 10.1186/s12966-017-0561-4

M3 - Article

VL - 14

SP - 105

JO - International Journal of Behavioral Nutrition and Physical Activity

T2 - International Journal of Behavioral Nutrition and Physical Activity

JF - International Journal of Behavioral Nutrition and Physical Activity

SN - 1479-5868

ER -