Accelerometers and Internet for physical activity promotion in youth? Feasibility and effectiveness of a minimal intervention [ISRCTN93896459]

Slootmaker, Sander M.; Chinapaw, Mai J. M.; Seidell, Jacob C.; Mechelen, Willem van; Schuit, Albertine J.

doi:10.1016/j.ypmed.2010.03.015

Cited by 79 publications

(123 citation statements)

References 31 publications

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“…Of these, 5 were included in the review (Figure 1): 3 were intervention studies [25-27] and focused primarily on increasing physical activity levels across the whole day [26,27] or during recess [25], and 2 studies were classed as feasibility studies [28,29]. Of the intervention studies, 2 [26,27] also included process measures about the device used. The majority of the studies (n=4) focused on children and were conducted in the United States [25,27-29].…”

Section: Resultsmentioning

confidence: 99%

Feasibility and Effectiveness of Using Wearable Activity Trackers in Youth: A Systematic Review

Ridgers¹,

McNarry²,

Mackintosh³

2016

JMIR Mhealth Uhealth

216

223

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BackgroundThe proliferation and popularity of wearable activity trackers (eg, Fitbit, Jawbone, Misfit) may present an opportunity to integrate such technology into physical activity interventions. While several systematic reviews have reported intervention effects of using wearable activity trackers on adults’ physical activity levels, none to date have focused specifically on children and adolescents.ObjectiveThe aim of this review was to examine the effectiveness of wearable activity trackers as a tool for increasing children’s and adolescents’ physical activity levels. We also examined the feasibility of using such technology in younger populations (age range 5-19 years).MethodsWe conducted a systematic search of 5 electronic databases, reference lists, and personal archives to identify articles published up until August 2016 that met the inclusion criteria. Articles were included if they (1) specifically examined the use of a wearable device within an intervention or a feasibility study; (2) included participants aged 5-19 years old; (3) had a measure of physical activity as an outcome variable for intervention studies; (4) reported process data concerning the feasibility of the device in feasibility studies; and (5) were published in English. Data were analyzed in August 2016.ResultsIn total, we identified and analyzed 5 studies (3 intervention, 2 feasibility). Intervention delivery ranged from 19 days to 3 months, with only 1 study using a randomized controlled trial design. Wearable activity trackers were typically combined with other intervention approaches such as goal setting and researcher feedback. While intervention effects were generally positive, the reported differences were largely nonsignificant. The feasibility studies indicated that monitor comfort and design and feedback features were important factors to children and adolescents.ConclusionsThere is a paucity of research concerning the effectiveness and feasibility of wearable activity trackers as a tool for increasing children’s and adolescents’ physical activity levels. While there are some preliminary data to suggest these devices may have the potential to increase activity levels through self-monitoring and goal setting in the short term, more research is needed to establish longer-term effects on behavior.

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Section: Resultsmentioning

confidence: 99%

Feasibility and Effectiveness of Using Wearable Activity Trackers in Youth: A Systematic Review

Ridgers¹,

McNarry²,

Mackintosh³

2016

JMIR Mhealth Uhealth

216

223

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“…This may have led to the review's lack of positive results, as it is a difficult task to maintain intervention effects long after the participants have been exposed to it. However, only three of the studies analyzed had positive outcomes that were lost at follow-up assessments, 25,32,37 so it appears as though the analysis of last measurements reported did not have a significant impact on the results. Another potential limitation is the fact that this study only examined quantitative PA outcomes that were expressed in terms of levels of activity.…”

Section: Limitationsmentioning

confidence: 94%

A Systematic Review of e-Health Interventions for Physical Activity: An Analysis of Study Design, Intervention Characteristics, and Outcomes

LaPlante

Peng

2011

Telemedicine and e-Health

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“…Four of the studies (Dudley et al, 2010;Peralta et al, 2009;Sirriyeh et al, 2010;Slootmaker et al, 2010) were reportedly insufficiently powered to detect statistically significant differences between the groups. The reported participant characteristics ranged from minimal (age, ranging from 12 to 17 years, and gender) to comprehensive (ethnicity, income, education, and health).…”

Section: Reachmentioning

confidence: 99%

Evaluation of physical activity interventions in youth via the Reach, Efficacy/Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework: A systematic review of randomised and non-randomised trials

McGoey

Root

Bruner

et al. 2015

Preventive Medicine

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Accelerometers and Internet for physical activity promotion in youth? Feasibility and effectiveness of a minimal intervention [ISRCTN93896459]

Cited by 79 publications

References 31 publications

Feasibility and Effectiveness of Using Wearable Activity Trackers in Youth: A Systematic Review

Feasibility and Effectiveness of Using Wearable Activity Trackers in Youth: A Systematic Review

A Systematic Review of e-Health Interventions for Physical Activity: An Analysis of Study Design, Intervention Characteristics, and Outcomes

Evaluation of physical activity interventions in youth via the Reach, Efficacy/Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework: A systematic review of randomised and non-randomised trials

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