Balanced: a randomised trial examining the efficacy of two self-monitoring methods for an app-based multi-behaviour intervention to improve physical activity, sitting and sleep in adults

Duncan, Mitch J., Vandelanotte, Corneel, Trost, Stewart G., Rebar, Amanda L., Rogers, Naomi, Burton, Nicola W., Murawski, Beatrice, Rayward, Anna, Fenton, Sasha and Brown, Wendy J. (2016) Balanced: a randomised trial examining the efficacy of two self-monitoring methods for an app-based multi-behaviour intervention to improve physical activity, sitting and sleep in adults. BCM Public Health, 16 1: . doi:10.1186/s12889-016-3256-x


Author Duncan, Mitch J.
Vandelanotte, Corneel
Trost, Stewart G.
Rebar, Amanda L.
Rogers, Naomi
Burton, Nicola W.
Murawski, Beatrice
Rayward, Anna
Fenton, Sasha
Brown, Wendy J.
Title Balanced: a randomised trial examining the efficacy of two self-monitoring methods for an app-based multi-behaviour intervention to improve physical activity, sitting and sleep in adults
Journal name BCM Public Health   Check publisher's open access policy
ISSN 1471-2458
Publication date 2016-07-30
Sub-type Article (original research)
DOI 10.1186/s12889-016-3256-x
Open Access Status DOI
Volume 16
Issue 1
Total pages 14
Place of publication London, United Kingdom
Publisher BioMed Central
Collection year 2017
Language eng
Formatted abstract
Background: Many adults are insufficiently physically active, have prolonged sedentary behaviour and report poor sleep. These behaviours can be improved by interventions that include education, goal setting, self-monitoring, and feedback strategies. Few interventions have explicitly targeted these behaviours simultaneously or examined the relative efficacy of different self-monitoring methods.
Methods/Design: This study aims to compare the efficacy of two self-monitoring methods in an app-based multi-behaviour intervention to improve objectively measured physical activity, sedentary, and sleep behaviours, in a 9 week 2–arm randomised trial. Participants will be adults (n = 64) who report being physically inactive, sitting >8 h/day and frequent insufficient sleep (≥14 days out of last 30). The “Balanced” intervention is delivered via a smartphone ‘app’, and includes education materials (guidelines, strategies to promote change in behaviour), goal setting, self-monitoring and feedback support. Participants will be randomly allocated to either a device-entered or user-entered self-monitoring method. The device-entered group will be provided with a activity tracker to self-monitor behaviours. The user-entered group will recall and manually record behaviours. Assessments will be conducted at 0, 3, 6, and 9 weeks. Physical activity, sedentary behaviour and sleep-wake behaviours will be measured using the wrist worn Geneactiv accelerometer. Linear mixed models will be used to examine differences between groups and over time using an alpha of 0.01.
Discussion: This study will evaluate an app-based multi-behavioural intervention to improve physical activity, sedentary behaviour and sleep; and the relative efficacy of two different approaches to self-monitoring these behaviours. Outcomes will provide information to inform future interventions and self-monitoring targeting these behaviours.
Keyword Physical activity
Sedentary
Sleep
App-based intervention
Adults
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ
Additional Notes Article number 670

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
School of Human Movement and Nutrition Sciences Publications
 
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Created: Tue, 02 Aug 2016, 15:04:34 EST by Sandrine Ducrot on behalf of School of Human Movement and Nutrition Sciences