Evidence map›Paper›PMID 32854671›Full record

ArticleBMC public health2020

Succeeding with prolonged usage of consumer-based activity trackers in clinical studies: a mixed methods approach.

André Henriksen, Anne-Sofie Sand, Trygve Deraas, Sameline Grimsgaard, Gunnar Hartvigsen, Laila Hopstock

Registry-linked trialAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03807323 (New Tools for Lasting Lifestyle Changes Among Inactive Obese People at Risk of Cardiovascular Disease), which is not on this map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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.

NCT03807323 nacompletednot on this map

New Tools for Lasting Lifestyle Changes Among Inactive Obese People at Risk of Cardiovascular Disease (TLC)

TypeinterventionalSponsorUniversity of TromsoRan2017 to 2018Enrolled16ConditionsCardiovascular Diseases, Lifestyle Risk ReductionArmsLifestyle counselling and exercise
3 · Its place in the literature

Who cites it

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

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  3. Observational
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  5. Article
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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.

André HenriksenDepartment of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway. andre.henriksen@uit.no.ORCID http://orcid.org/0000-0002-0918-7444
Anne-Sofie SandDepartment of Health and Care Sciences, UiT The Arctic University of Norway, Tromsø, Norway.
Trygve DeraasDepartment of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway.
Sameline GrimsgaardDepartment of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway.
Gunnar HartvigsenDepartment of Computer Science, UiT The Arctic University of Norway, Tromsø, Norway.
Laila HopstockDepartment of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway.

Funding

Troms Country TFK 2016-058
6 · The paper itself

Abstract

backgroundLack of physical activity (PA) is a risk factor for death and non-communicable disease. Despite this, more than one fourth of adults worldwide do not follow PA guidelines. As part of a feasibility study to test a complex intervention for increasing PA, we included a consumer-based activity tracker (AT) as a tool to measure PA outcomes and to track heart rate during exercise sessions. The aim of the present study was to identify factors that increase wear time when using a consumer-based AT for monitoring of participants in clinical research.

methodsSixteen participants aged 55-74 years, with obesity, sedentary lifestyle, and elevated cardiovascular risk were recruited to a 12-month feasibility study. Participants wore a Polar M430 AT to collect continuous PA data during a six-month intervention followed by 6 months of follow-up. We performed quantitative wear time analysis, tested the validity of the AT, and completed two rounds of qualitative interviews to investigate how individual wear-time was linked to participant responses.

resultsFrom 1 year of tracking, mean number of valid wear days were 292 (SD = 86), i.e. 80%. The Polar M430 provides acceptable measurements for total energy expenditure. Motivations for increased wear time were that participants were asked to wear it and the ability to track PA progress. Perceived usefulness included time keeping, heart rate- and sleep tracking, becoming more conscious about day-to-day activity, and improved understanding of which activity types were more effective for energy expenditure. Sources of AT annoyance were measurement inaccuracies and limited instruction for use. Suggestions for improvement were that the AT was big, unattractive, and complicated to use.

conclusionsAdherence to wearing a consumer-based AT was high. Results indicate that it is feasible to use a consumer-based AT to measure PA over a longer period. Potential success factors for increased wear time includes adequate instruction for AT use, allowing participants to choose different AT designs, and using trackers with accurate measurements. To identify accurate trackers, AT validation studies in the target cohort may be needed.

trial registrationU.S. National Library of Medicine, Clinical Trial registry: NCT03807323 ; Registered 16 September 2019 - Retrospectively registered.

Indexed as

ExerciseFitness TrackersMobile ApplicationsMotivationAgedCohort StudiesFeasibility StudiesFemaleHumansMaleMiddle AgedNorwayPatient ComplianceSmartphoneActigraphyActivity trackersClinical trialHuman activityIntervention studyMotor activityPolar M430

Identifiers

PMID32854671
PMCPMC7457262

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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.