Effect of commercial wearables and digital behaviour change resources on the physical activity of adolescents attending schools in socio-economically disadvantaged areas: the RAW-PA cluster-randomised controlled trial.
Adolescents
Intervention
Physical activity
Social media
Wearable activity tracker
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:
12 04 2021
12 04 2021
Historique:
received:
18
08
2020
accepted:
11
03
2021
entrez:
13
4
2021
pubmed:
14
4
2021
medline:
22
6
2021
Statut:
epublish
Résumé
There has been increasing interest in using wearable activity trackers to promote physical activity in youth. This study examined the short- and longer-term effects of a wearable activity tracker combined with digital behaviour change resources on the physical activity of adolescents attending schools in socio-economically disadvantaged areas. The Raising Awareness of Physical Activity (RAW-PA) Study was a 12-week, multicomponent intervention that combined a Fitbit Flex (and accompanying app), and online digital behaviour change resources and weekly challenges delivered via Facebook. RAW-PA was evaluated using a cluster-randomised controlled trial with 275 adolescents (50.2% female; 13.7 ± 0.4 years) from 18 Melbourne secondary schools (intervention n = 9; wait-list control group n = 9). The primary outcome was moderate- to vigorous-intensity physical activity (MVPA), measured using hip-worn ActiGraph accelerometers. The secondary outcome was self-reported physical activity. Data were collected at baseline, 12-weeks (immediately post-intervention), and 6-months post-intervention (follow-up). Multilevel models were used to determine the effects of the intervention on daily MVPA over time, adjusting for covariates. No significant differences were observed between intervention and wait-list control adolescents' device-assessed MVPA immediately post-intervention. At 6-months post-intervention, adolescents in the intervention group engaged in 5 min (95% CI: - 9.1 to - 1.0) less MVPA per day than those in the wait-list control group. Males in the intervention group engaged in 11 min (95% CI: - 17.6 to - 4.5) less MVPA than males in the wait-list control group at 6-months post-intervention. No significant differences were observed for females at either time point. For self-reported physical activity, no significant effects were found at 12-weeks and 6-months post-intervention. Combining a wearable activity tracker with digital behaviour change resources and weekly challenges did not increase inactive adolescents' accelerometer-derived and self-reported physical activity levels immediately post-intervention. This contrasts previous research that has suggested wearable activity tracker may increase youth physical activity levels in the short-term. Lower engagement in MVPA 6-months post-intervention was observed for males but not for females, though it is unclear why this finding was observed. The results suggest wearable activity trackers, in combination with supporting materials, may not be effective for increasing physical activity levels in adolescents. ACTRN12616000899448 . Australian and New Zealand Clinical Trials Registry. Registered 7 July 2016.
Sections du résumé
BACKGROUND
There has been increasing interest in using wearable activity trackers to promote physical activity in youth. This study examined the short- and longer-term effects of a wearable activity tracker combined with digital behaviour change resources on the physical activity of adolescents attending schools in socio-economically disadvantaged areas.
METHODS
The Raising Awareness of Physical Activity (RAW-PA) Study was a 12-week, multicomponent intervention that combined a Fitbit Flex (and accompanying app), and online digital behaviour change resources and weekly challenges delivered via Facebook. RAW-PA was evaluated using a cluster-randomised controlled trial with 275 adolescents (50.2% female; 13.7 ± 0.4 years) from 18 Melbourne secondary schools (intervention n = 9; wait-list control group n = 9). The primary outcome was moderate- to vigorous-intensity physical activity (MVPA), measured using hip-worn ActiGraph accelerometers. The secondary outcome was self-reported physical activity. Data were collected at baseline, 12-weeks (immediately post-intervention), and 6-months post-intervention (follow-up). Multilevel models were used to determine the effects of the intervention on daily MVPA over time, adjusting for covariates.
RESULTS
No significant differences were observed between intervention and wait-list control adolescents' device-assessed MVPA immediately post-intervention. At 6-months post-intervention, adolescents in the intervention group engaged in 5 min (95% CI: - 9.1 to - 1.0) less MVPA per day than those in the wait-list control group. Males in the intervention group engaged in 11 min (95% CI: - 17.6 to - 4.5) less MVPA than males in the wait-list control group at 6-months post-intervention. No significant differences were observed for females at either time point. For self-reported physical activity, no significant effects were found at 12-weeks and 6-months post-intervention.
CONCLUSIONS
Combining a wearable activity tracker with digital behaviour change resources and weekly challenges did not increase inactive adolescents' accelerometer-derived and self-reported physical activity levels immediately post-intervention. This contrasts previous research that has suggested wearable activity tracker may increase youth physical activity levels in the short-term. Lower engagement in MVPA 6-months post-intervention was observed for males but not for females, though it is unclear why this finding was observed. The results suggest wearable activity trackers, in combination with supporting materials, may not be effective for increasing physical activity levels in adolescents.
TRIAL REGISTRATION
ACTRN12616000899448 . Australian and New Zealand Clinical Trials Registry. Registered 7 July 2016.
Identifiants
pubmed: 33845853
doi: 10.1186/s12966-021-01110-1
pii: 10.1186/s12966-021-01110-1
pmc: PMC8042874
doi:
Banques de données
ANZCTR
['ACTRN12616000899448']
Types de publication
Journal Article
Randomized Controlled Trial
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
52Références
Arch Pediatr Adolesc Med. 2011 Jul;165(7):603-9
pubmed: 21727272
Clin Trials. 2012 Aug;9(4):396-407
pubmed: 22752633
BMC Public Health. 2017 Jan 4;17(1):6
pubmed: 28052773
Curr Epidemiol Rep. 2020 Mar;7(1):25-38
pubmed: 33365227
Front Pediatr. 2018 Jan 26;6:5
pubmed: 29435438
JMIR Mhealth Uhealth. 2018 Mar 23;6(3):e58
pubmed: 29572200
Prev Med Rep. 2016 Dec 29;5:228-231
pubmed: 28101444
J Med Internet Res. 2014 Aug 15;16(8):e192
pubmed: 25131661
J Med Internet Res. 2020 Aug 7;22(8):e13573
pubmed: 32763872
J Med Internet Res. 2020 Mar 6;22(3):e15552
pubmed: 32141834
J Med Internet Res. 2011 Jul 13;13(3):e48
pubmed: 21749967
JMIR Mhealth Uhealth. 2017 Jul 06;5(7):e92
pubmed: 28684384
Appl Physiol Nutr Metab. 2016 Jun;41(6 Suppl 3):S197-239
pubmed: 27306431
Pediatr Blood Cancer. 2017 Dec;64(12):
pubmed: 28618158
Int J Behav Nutr Phys Act. 2010 May 11;7:40
pubmed: 20459784
Biomed Res Int. 2017;2017:4271483
pubmed: 29670894
Interact J Med Res. 2017 Aug 14;6(2):e13
pubmed: 28807889
Am J Prev Med. 2015 Sep;49(3):414-8
pubmed: 26071863
Med Sci Sports Exerc. 1998 Apr;30(4):629-33
pubmed: 9565947
JAMA. 2012 Feb 15;307(7):704-12
pubmed: 22337681
Ann Behav Med. 2013 Aug;46(1):81-95
pubmed: 23512568
BMJ. 2014 Mar 07;348:g1687
pubmed: 24609605
J Sci Med Sport. 2012 Mar;15(2):136-41
pubmed: 22051688
Pediatr Blood Cancer. 2016 Apr;63(4):684-9
pubmed: 26756736
Prev Med. 2010 Jul;51(1):31-6
pubmed: 20380847
Int J Epidemiol. 2011 Jun;40(3):685-98
pubmed: 21245072
Pediatrics. 2014 Sep;134(3):e723-31
pubmed: 25157000
Lancet Diabetes Endocrinol. 2016 Dec;4(12):983-995
pubmed: 27717766
Med Sci Sports Exerc. 2005 Nov;37(11 Suppl):S523-30
pubmed: 16294115
Br J Sports Med. 2019 Dec;53(24):1553-1554
pubmed: 29970409
BMC Public Health. 2015 Jun 24;15:585
pubmed: 26104189
J Biomed Inform. 2019 May;93:103153
pubmed: 30910623
J Sch Nurs. 2019 Dec;35(6):449-461
pubmed: 30004269
BMJ. 2009 Jun 29;338:b2393
pubmed: 19564179
Lancet. 2012 Jul 21;380(9838):247-57
pubmed: 22818937
BMJ. 2012 Sep 04;345:e5661
pubmed: 22951546
Pediatr Rheumatol Online J. 2018 Oct 22;16(1):66
pubmed: 30348203
Int J Behav Nutr Phys Act. 2015 Dec 18;12:159
pubmed: 26684758
Int J Environ Res Public Health. 2020 Jan 07;17(2):
pubmed: 31936074
JMIR Mhealth Uhealth. 2016 Nov 23;4(4):e129
pubmed: 27881359
Arch Pediatr Adolesc Med. 2001 May;155(5):554-9
pubmed: 11343497
J Phys Act Health. 2013 Mar;10(3):437-50
pubmed: 23620392
JMIR Mhealth Uhealth. 2019 Apr 30;7(4):e8298
pubmed: 31038460
JMIR Mhealth Uhealth. 2018 Apr 11;6(4):e86
pubmed: 29643054
Prev Med Rep. 2017 Mar 18;6:210-213
pubmed: 28373931
Int J Environ Res Public Health. 2016 Sep 13;13(9):
pubmed: 27649219
BMC Public Health. 2017 Nov 15;17(1):880
pubmed: 29141607
Telemed J E Health. 2015 Oct;21(10):782-92
pubmed: 26431257
Am J Prev Med. 1998 Nov;15(4):257-65
pubmed: 9838972
Health Promot Int. 2015 Mar;30(1):174-83
pubmed: 25320120
Int J Behav Nutr Phys Act. 2015 Nov 14;12:142
pubmed: 26572225
Interact J Med Res. 2017 Aug 02;6(2):e12
pubmed: 28768612