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The Influence of a Consumer-wearable Activity Tracker on Sedentary Time and Prolonged Sedentary Bouts: Secondary Analysis of a Randomized Controlled Trial

Overview
Journal BMC Res Notes
Publisher Biomed Central
Date 2018 Mar 24
PMID 29566746
Citations 12
Authors
Affiliations
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Abstract

Objective: A recent meta-analysis surmised pedometers were a useful panacea to independently reduce sedentary time (ST). To further test and expand on this deduction, we analyzed the ability of a consumer-wearable activity tracker to reduce ST and prolonged sedentary bouts (PSB). We originally conducted a 12-month randomized control trial where 800 employees from 13 organizations were assigned to control, activity tracker, or one of two activity tracker plus incentive groups designed to increase step count. The primary outcome was accelerometer measured moderate-to-vigorous physical activity.

Results: We conducted a secondary analysis on accelerometer measured daily ST and PSB bouts. A general linear mixed model was used to examine changes in ST and prolonged sedentary bouts, followed by between-group pairwise comparisons. Regression analyses were conducted to examine the association of changes in step counts with ST and PSB. The changes in ST and PSB were not statistically significant and not different between the groups (P < 0.05). Increases in step counts were concomitantly associated with decreases in ST and PSB, regardless of intervention (P < 0.05). Caution should be taken when considering consumer-wearable activity trackers as a means to reduce sedentary behavior. Trial registration NCT01855776 Registered: August 8, 2012.

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References
1.
Gill J, Hawari N, Maxwell D, Louden D, Mourselas N, Bunn C . Validation of a Novel Device to Measure and Provide Feedback on Sedentary Behavior. Med Sci Sports Exerc. 2017; 50(3):525-532. PMC: 5828381. DOI: 10.1249/MSS.0000000000001458. View

2.
Matthews C, Chen K, Freedson P, Buchowski M, Beech B, Pate R . Amount of time spent in sedentary behaviors in the United States, 2003-2004. Am J Epidemiol. 2008; 167(7):875-81. PMC: 3527832. DOI: 10.1093/aje/kwm390. View

3.
Braga Benatti F, Ried-Larsen M . The Effects of Breaking up Prolonged Sitting Time: A Review of Experimental Studies. Med Sci Sports Exerc. 2015; 47(10):2053-61. DOI: 10.1249/MSS.0000000000000654. View

4.
Biddle S, Edwardson C, Wilmot E, Yates T, Gorely T, Bodicoat D . A Randomised Controlled Trial to Reduce Sedentary Time in Young Adults at Risk of Type 2 Diabetes Mellitus: Project STAND (Sedentary Time ANd Diabetes). PLoS One. 2015; 10(12):e0143398. PMC: 4666612. DOI: 10.1371/journal.pone.0143398. View

5.
Furberg C, Friedman L . Approaches to data analyses of clinical trials. Prog Cardiovasc Dis. 2012; 54(4):330-4. DOI: 10.1016/j.pcad.2011.07.002. View