Effectiveness of interventions using self-monitoring to reduce sedentary behavior in adults: a systematic review and meta-analysis.
Efficacy
Electronic devices
Program
Sedentary time
Sitting time
Journal
The international journal of behavioral nutrition and physical activity
ISSN: 1479-5868
Titre abrégé: Int J Behav Nutr Phys Act
Pays: England
ID NLM: 101217089
Informations de publication
Date de publication:
13 08 2019
13 08 2019
Historique:
received:
28
02
2019
accepted:
24
07
2019
entrez:
15
8
2019
pubmed:
15
8
2019
medline:
18
12
2019
Statut:
epublish
Résumé
Sedentary behavior occurs largely subconsciously, and thus specific behavior change techniques are needed to increase conscious awareness of sedentary behavior. Chief amongst these behavior change techniques is self-monitoring of sedentary behavior. The aim of this systematic review and meta-analysis was to evaluate the short-term effectiveness of existing interventions using self-monitoring to reduce sedentary behavior in adults. Four electronic databases (PubMed, Embase, Web of Science, and The Cochrane Library) and grey literature (Google Scholar and the International Clinical Trials Registry Platform) were searched to identify appropriate intervention studies. Only (cluster-)randomized controlled trials that 1) assessed the short-term effectiveness of an intervention aimed at the reduction of sedentary behavior, 2) used self-monitoring as a behavior change technique, and 3) were conducted in a sample of adults with an average age ≥ 18 years, were eligible for inclusion. Relevant data were extracted, and Hedge's g was used as the measure of effect sizes. Random effects models were performed to conduct the meta-analysis. Nineteen intervention studies with a total of 2800 participants met the inclusion criteria. Results of the meta-analyses showed that interventions using self-monitoring significantly reduced total sedentary time (Hedges g = 0,32; 95% CI = 0,14 - 0,50; p = 0,001) and occupational sedentary time (Hedge's g = 0,56; 95% CI = 0,07 - 0,90; p = 0,02) on the short term. Subgroup analyses showed that significant intervention effects were only found if objective self-monitoring tools were used (g = 0,40; 95% CI = 0,19 - 0,60; p < 0,001), and if the intervention only targeted sedentary behavior (g = 0,45; 95% CI = 0,15-0,75; p = 0,004). No significant intervention effects were found on the number of breaks in sedentary behavior. Despite the small sample sizes, and the large heterogeneity, results of the current meta-analysis suggested that interventions using self-monitoring as a behavior change technique have the potential to reduce sedentary behavior in adults. If future - preferably large-scale studies - can prove that the reductions in sedentary behavior are attributable to self-monitoring and can confirm the sustainability of this behavior change, multi-level interventions including self-monitoring may impact public health by reducing sedentary behavior.
Sections du résumé
BACKGROUND
Sedentary behavior occurs largely subconsciously, and thus specific behavior change techniques are needed to increase conscious awareness of sedentary behavior. Chief amongst these behavior change techniques is self-monitoring of sedentary behavior. The aim of this systematic review and meta-analysis was to evaluate the short-term effectiveness of existing interventions using self-monitoring to reduce sedentary behavior in adults.
METHODS
Four electronic databases (PubMed, Embase, Web of Science, and The Cochrane Library) and grey literature (Google Scholar and the International Clinical Trials Registry Platform) were searched to identify appropriate intervention studies. Only (cluster-)randomized controlled trials that 1) assessed the short-term effectiveness of an intervention aimed at the reduction of sedentary behavior, 2) used self-monitoring as a behavior change technique, and 3) were conducted in a sample of adults with an average age ≥ 18 years, were eligible for inclusion. Relevant data were extracted, and Hedge's g was used as the measure of effect sizes. Random effects models were performed to conduct the meta-analysis.
RESULTS
Nineteen intervention studies with a total of 2800 participants met the inclusion criteria. Results of the meta-analyses showed that interventions using self-monitoring significantly reduced total sedentary time (Hedges g = 0,32; 95% CI = 0,14 - 0,50; p = 0,001) and occupational sedentary time (Hedge's g = 0,56; 95% CI = 0,07 - 0,90; p = 0,02) on the short term. Subgroup analyses showed that significant intervention effects were only found if objective self-monitoring tools were used (g = 0,40; 95% CI = 0,19 - 0,60; p < 0,001), and if the intervention only targeted sedentary behavior (g = 0,45; 95% CI = 0,15-0,75; p = 0,004). No significant intervention effects were found on the number of breaks in sedentary behavior.
CONCLUSIONS
Despite the small sample sizes, and the large heterogeneity, results of the current meta-analysis suggested that interventions using self-monitoring as a behavior change technique have the potential to reduce sedentary behavior in adults. If future - preferably large-scale studies - can prove that the reductions in sedentary behavior are attributable to self-monitoring and can confirm the sustainability of this behavior change, multi-level interventions including self-monitoring may impact public health by reducing sedentary behavior.
Identifiants
pubmed: 31409357
doi: 10.1186/s12966-019-0824-3
pii: 10.1186/s12966-019-0824-3
pmc: PMC6693254
doi:
Types de publication
Journal Article
Meta-Analysis
Research Support, Non-U.S. Gov't
Systematic Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
63Références
Am J Public Health. 1999 Sep;89(9):1322-7
pubmed: 10474547
J Pers Soc Psychol. 2003 Jan;84(1):18-28
pubmed: 12518968
BMJ. 2003 Sep 6;327(7414):557-60
pubmed: 12958120
Res Q Exerc Sport. 2009 Sep;80(3):648-55
pubmed: 19791652
Pers Soc Psychol Bull. 2010 Apr;36(4):499-511
pubmed: 20363904
Patient Educ Couns. 2011 Aug;84(2):275-9
pubmed: 20732776
Psychol Health. 2011 Nov;26(11):1479-98
pubmed: 21678185
Am J Clin Nutr. 2012 Feb;95(2):437-45
pubmed: 22218159
Obes Rev. 2012 Aug;13(8):659-80
pubmed: 22694051
J Am Med Inform Assoc. 2013 May 1;20(3):513-8
pubmed: 23429637
Health Psychol. 2013 Nov;32(11):1149-57
pubmed: 23477579
Am J Prev Med. 2013 Apr;44(4):382-387
pubmed: 23498104
BMJ Open. 2013 Oct 18;3(10):e003261
pubmed: 24141969
PLoS One. 2013 Nov 13;8(11):e80000
pubmed: 24236168
Syst Rev. 2013 Nov 28;2:107
pubmed: 24286208
Front Public Health. 2013 Oct 28;1:45
pubmed: 24350214
Int J Environ Res Public Health. 2014 Jan 07;11(1):773-91
pubmed: 24402064
Am J Prev Med. 2014 Nov;47(5):613-6
pubmed: 25070271
Obes Rev. 2014 Nov;15(11):905-19
pubmed: 25112481
PLoS One. 2014 Aug 21;9(8):e105620
pubmed: 25144686
J Aging Phys Act. 2015 Jul;23(3):471-87
pubmed: 25387160
Int J Environ Res Public Health. 2014 Dec 04;11(12):12575-81
pubmed: 25485978
Ann Intern Med. 2015 Jan 20;162(2):123-32
pubmed: 25599350
Br J Sports Med. 2015 Aug;49(16):1056-63
pubmed: 25907181
J Gerontol A Biol Sci Med Sci. 2016 Jan;71(1):78-83
pubmed: 26273024
Obesity (Silver Spring). 2015 Sep;23(9):1800-10
pubmed: 26308477
Health Psychol Rev. 2016;10(1):89-112
pubmed: 26315814
PLoS One. 2015 Dec 01;10(12):e0143398
pubmed: 26623654
Health Psychol. 2016 Mar;35(3):262-72
pubmed: 26690644
Eur Rev Aging Phys Act. 2015 Oct 07;12:4
pubmed: 26865868
Gerontologist. 2017 Aug 1;57(4):735-744
pubmed: 26874187
J Med Internet Res. 2016 May 04;18(5):e90
pubmed: 27145905
Pilot Feasibility Stud. 2015 Jan 12;1:4
pubmed: 27175291
J Med Internet Res. 2016 May 31;18(5):e96
pubmed: 27245789
Lancet. 2016 Sep 24;388(10051):1302-10
pubmed: 27475271
Int J Behav Nutr Phys Act. 2016 Nov 4;13(1):115
pubmed: 27814738
Sports Med. 2017 Jul;47(7):1421-1435
pubmed: 27943147
BMC Public Health. 2017 Jan 9;17(1):52
pubmed: 28069016
Int J Clin Pract. 2017 Feb;71(2):null
pubmed: 28238228
JMIR Mhealth Uhealth. 2017 Mar 06;5(3):e28
pubmed: 28264796
Pilot Feasibility Stud. 2017 May 8;3:23
pubmed: 28491459
Health Promot Int. 2019 Feb 1;34(1):16-27
pubmed: 28973149
Int J Behav Nutr Phys Act. 2017 Oct 23;14(1):142
pubmed: 29058587
J Occup Environ Med. 2018 Jun;60(6):e290-e299
pubmed: 29438155
Transl Behav Med. 2019 Jan 1;9(1):147-157
pubmed: 29506209
J Occup Environ Med. 2018 Sep;60(9):787-795
pubmed: 29851741
J Med Internet Res. 2018 Jun 19;20(6):e10528
pubmed: 29921561
BMJ. 2018 Oct 10;363:k3870
pubmed: 30305278
Cochrane Database Syst Rev. 2018 Dec 17;12:CD010912
pubmed: 30556590
PLoS Med. 2019 Feb 5;16(2):e1002736
pubmed: 30721231
Appl Ergon. 2019 Jul;78:37-53
pubmed: 31046958
Women Health. 2019 May 21;:1-12
pubmed: 31113310