Evidence map›Paper›PMID 37213198›Full record

ArticleJMIR formative research2023

Development of a Mobile Health Snacktivity App to Promote Physical Activity in Inactive Adults (SnackApp): Intervention Mapping and User Testing Study.

James P Sanders, Kajal Gokal, Jonah J C Thomas, Jonathan C Rawstorn, Lauren B Sherar, Ralph Maddison, Colin J Greaves, Dale Esliger, Amanda J Daley, Snacktivity Investigators

Abstract read
In one paragraph

Article in JMIR formative research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
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  7. Article
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

10 authors.

James P SandersCentre for Lifestyle Medicine and Behaviour, Loughborough University, Loughborough, United Kingdom.ORCID 0000-0003-2103-0631
Kajal GokalCentre for Lifestyle Medicine and Behaviour, Loughborough University, Loughborough, United Kingdom.ORCID 0000-0002-2020-1876
Jonah J C ThomasCentre for Lifestyle Medicine and Behaviour, Loughborough University, Loughborough, United Kingdom.ORCID 0000-0002-9886-0169
Jonathan C RawstornInstitute of Physical Activity and Nutrition, School of Exercise and Nutrition Science, Deakin University, Burwood, Austria.ORCID 0000-0002-9755-7993
Lauren B SherarCentre for Lifestyle Medicine and Behaviour, Loughborough University, Loughborough, United Kingdom.ORCID 0000-0002-9942-5433
Ralph MaddisonInstitute of Physical Activity and Nutrition, School of Exercise and Nutrition Science, Deakin University, Burwood, Austria.ORCID 0000-0001-8564-5518
Colin J GreavesSchool of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, United Kingdom.ORCID 0000-0003-4425-2691
Dale EsligerCentre for Lifestyle Medicine and Behaviour, Loughborough University, Loughborough, United Kingdom.ORCID 0000-0002-1236-6419
Amanda J DaleyCentre for Lifestyle Medicine and Behaviour, Loughborough University, Loughborough, United Kingdom.ORCID 0000-0002-4866-8726
Snacktivity Investigators *See Acknowledgments, .

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the unequivocal evidence demonstrating the benefits of being physically active, many people do not meet the recommended guidelines of at least 150 minutes of moderate- to vigorous-intensity physical activity per week. This can be changed with the development and implementation of innovative interventions. The use of mobile health (mHealth) technologies has been suggested as a mechanism to offer people innovative health behavior change interventions.

objectiveThis study aims to outline the systematic, theory-driven processes and user testing applied to the development of a smartphone-based physical activity app (SnackApp) to promote participation in a novel physical activity intervention called Snacktivity. The acceptability of the app was explored and reported.

methodsIntervention mapping involves a 6-step process, the first 4 of which were presented in this study. These steps were used to develop the SnackApp for use within the Snacktivity intervention. The first step involved a needs assessment, which included composing an expert planning group, patient and public involvement group, and gathering the views of the public on Snacktivity and the public perception of the use of wearable technology to support Snacktivity. This first step aimed to determine the overall purpose of the Snacktivity intervention. Steps 2 to 4 involved determining the intervention objectives, the behavior change theory and techniques on which the intervention is based, and the development of the intervention resources (ie, SnackApp). After the completion of steps 1 to 3 of the intervention mapping process, the SnackApp was developed and linked to a commercial physical activity tracker (Fitbit Versa Lite) for the automated capture of physical activity. SnackApp includes provisions for goal setting, activity planning, and social support. Stage 4 involved users (inactive adults, N=15) testing the SnackApp for 28 days. App engagement (mobile app use analytics) was analyzed to determine app use and to inform the further development of SnackApp.

resultsOver the study period (step 4), participants engaged with SnackApp an average of 77 (SD 80) times. On average, participants used the SnackApp for 12.6 (SD 47) minutes per week, with most of the time spent on the SnackApp dashboard and engaging, on average, 14 (SD 12.1) times, lasting 7 to 8 minutes per week. Overall, male participants used the SnackApp more than female participants did. The app rating score was 3.5 (SD 0.6) out of 5, suggesting that SnackApp was rated as fair to good.

conclusionsThis study outlines and reports data regarding the development of an innovative mHealth app using a systematic, theory-driven framework. This approach can guide the development of future mHealth programs. User testing of the SnackApp suggested that physically inactive adults will engage with the SnackApp, indicating its applicability of use in the Snacktivity physical activity intervention.

Indexed as

appbehaviordevelopmentengagementhealth appinterventionintervention developmentmHealthmobile healthmobile phonephysical activitysmartphonesocialtestinguseruser testing

Identifiers

PMID37213198
PMCPMC10242461

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.