Evidence map›Paper›PMID 30143477›Full record

ArticleJMIR mHealth and uHealth2018

Effect and Process Evaluation of a Smartphone App to Promote an Active Lifestyle in Lower Educated Working Young Adults: Cluster Randomized Controlled Trial.

Dorien Simons, Ilse De Bourdeaudhuij, Peter Clarys, Katrien De Cocker, Corneel Vandelanotte, Benedicte Deforche

Registry-linked trialAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02948803 (A Smartphone-based Intervention to Promote an Active Lifestyle in Low Educated Working Young Adults), which is not on this map. Cited by 31 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 13 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02948803 nacompletednot on this map

A Smartphone-based Intervention to Promote an Active Lifestyle in Low Educated Working Young Adults

TypeinterventionalSponsorUniversity GhentRan2016 to 2017Enrolled130ConditionsPhysical ActivityArmssmartphone based intervention with Active Coach app
3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 13 syntheses or guidelines pooled it.

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  15. Mobile App-Based Small-Group Physical Activity Intervention for Young African American Women: a Pilot Randomized Controlled Trial.Prevention science : the official journal of the Society for Prevention Research · 2019
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Dorien SimonsUnit Health Promotion and Education, Department of Public Health, Ghent University, Ghent, Belgium.ORCID http://orcid.org/0000-0003-3605-1515
Ilse De BourdeaudhuijDepartment of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.ORCID http://orcid.org/0000-0001-9969-7597
Peter ClarysPhysical Activity, Nutrition and Health Research Unit, Faculty of Physical Education and Physical Therapy, Vrije Universiteit Brussel, Brussels, Belgium.ORCID http://orcid.org/0000-0002-6171-6518
Katrien De CockerDepartment of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.ORCID http://orcid.org/0000-0001-7510-4419
Corneel VandelanottePhysical Activity Research Group, School for Health, Medical and Applied Science, Central Queensland University, Rockhampton, Australia.ORCID http://orcid.org/0000-0002-4445-8094
Benedicte DeforcheUnit Health Promotion and Education, Department of Public Health, Ghent University, Ghent, Belgium.ORCID http://orcid.org/0000-0002-1064-0525

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMobile technologies have great potential to promote an active lifestyle in lower educated working young adults, an underresearched target group at a high risk of low activity levels.

objectiveThe objective of our study was to examine the effect and process evaluation of the newly developed evidence- and theory-based smartphone app "Active Coach" on the objectively measured total daily physical activity; self-reported, context-specific physical activity; and self-reported psychosocial variables among lower educated working young adults.

methodsWe recruited 130 lower educated working young adults in this 2-group cluster randomized controlled trial and assessed outcomes at baseline, posttest (baseline+9 weeks), and follow-up (posttest+3 months). Intervention participants (n=60) used the Active Coach app (for 9 weeks) combined with a Fitbit activity tracker. Personal goals, practical tips, and educational facts were provided to encourage physical activity. The control group received print-based generic physical activity information. Both groups wore accelerometers for objective measurement of physical activity, and individual interviews were conducted to assess the psychosocial variables and context-specific physical activity. Furthermore, intervention participants were asked process evaluation questions and generalized linear mixed models and descriptive statistics were applied.

resultsNo significant intervention effects were found for objectively measured physical activity, self-reported physical activity, and self-reported psychosocial variables (all P>.05). Intervention participants evaluated the Active Coach app and the combined use with the Fitbit wearable as self-explanatory (36/51, 70.6%), user friendly (40/51, 78.4%), and interesting (34/51, 66.7%). Throughout the intervention, we observed a decrease in the frequency of viewing graphical displays in the app (P<.001); reading the tips, facts, and goals (P<.05); and wearing the Fitbit wearable (P<.001). Few intervention participants found the tips and facts motivating (10/41, 24.4%), used them to be physically active (8/41, 19.6%), and thought they were tailored to their lifestyle (7/41, 17.1%).

conclusionsThe lack of significant intervention effects might be due to low continuous user engagement. Advice or feedback that was not perceived as adequately tailored and the difficulty to compete with many popular commercial apps on young people's smartphones may be responsible for a decrease in the engagement. A stand-alone app does not seem sufficient to promote an active lifestyle among lower educated working young adults; therefore, multicomponent interventions (using both technological and human support), as well as context-specific sensing to provide tailored advice, might be needed in this population.

trial registrationClinicalTrials.gov NCT02948803; https://clinicaltrials.gov/ct2/show/results/NCT02948803 (Archived by WebCite at http://www.webcitation.org/71OPFwaoA).

Indexed as

accelerometersactive transportemerging adulthoodFitbithealth promotionmHealthmobile appsmobile phonephysical activity intervention

Identifiers

PMID30143477
PMCPMC6128958

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.