Evidence map›Paper›PMID 33211023›Full record

ArticleJMIR mHealth and uHealth2020

Behavior Change Techniques in Wrist-Worn Wearables to Promote Physical Activity: Content Analysis.

Peter Düking, Marie Tafler, Birgit Wallmann-Sperlich, Billy Sperlich, Sonja Kleih

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 6 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

27 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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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

5 authors.

Peter Düking *Integrative and Experimental Exercise Science, Department of Sport Science, Würzburg, Germany.ORCID 0000-0003-0277-9858
Marie TaflerDepartment of Psychology I, University of Würzburg, Würzburg, Germany.ORCID 0000-0002-8885-8196
Birgit Wallmann-SperlichInstitute for Sport Sciences, University of Würzburg, Würzburg, Germany.ORCID 0000-0002-0338-7357
Billy SperlichIntegrative and Experimental Exercise Science, Department of Sport Science, Würzburg, Germany.ORCID 0000-0003-4686-8561
Sonja KleihDepartment of Psychology I, University of Würzburg, Würzburg, Germany.ORCID 0000-0001-7510-0426

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDecreasing levels of physical activity (PA) increase the incidences of noncommunicable diseases, obesity, and mortality. To counteract these developments, interventions aiming to increase PA are urgently needed. Mobile health (mHealth) solutions such as wearable sensors (wearables) may assist with an improvement in PA.

objectiveThe aim of this study is to examine which behavior change techniques (BCTs) are incorporated in currently available commercial high-end wearables that target users' PA behavior.

methodsThe BCTs incorporated in 5 different high-end wearables (Apple Watch Series 3, Garmin Vívoactive 3, Fitbit Versa, Xiaomi Amazfit Stratos 2, and Polar M600) were assessed by 2 researchers using the BCT Taxonomy version 1 (BCTTv1). Effectiveness of the incorporated BCTs in promoting PA behavior was assessed by a content analysis of the existing literature.

resultsThe most common BCTs were goal setting (behavior), action planning, review behavior goal(s), discrepancy between current behavior and goal, feedback on behavior, self-monitoring of behavior, and biofeedback. Fitbit Versa, Garmin Vívoactive 3, Apple Watch Series 3, Polar M600, and Xiaomi Amazfit Stratos 2 incorporated 17, 16, 12, 11, and 11 BCTs, respectively, which are proven to effectively promote PA.

conclusionsWearables employ different numbers and combinations of BCTs, which might impact their effectiveness in improving PA. To promote PA by employing wearables, we encourage researchers to develop a taxonomy specifically designed to assess BCTs incorporated in wearables. We also encourage manufacturers to customize BCTs based on the targeted populations.

Indexed as

ExerciseFitness TrackersBehavior TherapyHealth PromotionHumansObesityWristcardiorespiratory fitnesseHealthinnovationmHealthsmartwatchtechnologywearable

Identifiers

PMID33211023
PMCPMC7714647

What OpenQuestion holds

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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.