Evidence mapPaperPMID 35679106Full record

SynthesisJMIR mHealth and uHealth2022

Quality Evaluation of Free-living Validation Studies for the Assessment of 24-Hour Physical Behavior in Adults via Wearables: Systematic Review.

Marco Giurgiu, Irina Timm, Marlissa Becker, Steffen Schmidt, Kathrin Wunsch, Rebecca Nissen, Denis Davidovski, Johannes B J Bussmann, Claudio R Nigg, Markus Reichert and 3 more

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in JMIR mHealth and uHealth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 5 pooled it
5.2field-weighted citation impact, top 3% of its field
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

23 citing papers in PubMed, 5 syntheses or guidelines pooled it, 47 citations in OpenAlex.

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  11. Reporting of Accelerometry in Health Research: A Scoping Review of Current Guidance.Scandinavian journal of medicine & science in sports · 2025
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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

13 authors at 4 institutions in 3 countries.

Marco GiurgiuDepartment of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany.ORCID 0000-0001-6684-3463
Irina TimmDepartment of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany.ORCID 0000-0002-2957-242X
Marlissa BeckerUnit Physiotherapy, Department of Orthopedics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands.ORCID 0000-0002-0251-5089
Steffen SchmidtDepartment of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany.ORCID 0000-0003-1852-5676
Kathrin WunschDepartment of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany.ORCID 0000-0001-9400-4130
Rebecca NissenDepartment of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany.ORCID 0000-0001-5006-9282
Denis DavidovskiDepartment of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany.ORCID 0000-0003-1732-8099
Johannes B J BussmannDepartment of Rehabilitation Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands.ORCID 0000-0002-7496-5636
Claudio R NiggHealth Science Department, Institute of Sport Science, University of Bern, Bern, Switzerland.ORCID 0000-0002-2897-4689
Markus ReichertDepartment of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany.ORCID 0000-0003-3290-0962
Ulrich W Ebner-PriemerDepartment of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany.ORCID 0000-0002-2769-5944
Alexander WollDepartment of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany.ORCID 0000-0002-5736-2980
Birte von Haaren-MackDepartment of Health and Social Psychology, Institute of Psychology, German Sport University, Cologne, Germany.ORCID 0000-0003-1839-6448
Karlsruhe Institute of Technology · DEErasmus MC · NLGerman Sport University Cologne · DEUniversity of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWearable technology is a leading fitness trend in the growing commercial industry and an established method for collecting 24-hour physical behavior data in research studies. High-quality free-living validation studies are required to enable both researchers and consumers to make guided decisions on which study to rely on and which device to use. However, reviews focusing on the quality of free-living validation studies in adults are lacking.

objectiveThis study aimed to raise researchers' and consumers' attention to the quality of published validation protocols while aiming to identify and compare specific consistencies or inconsistencies between protocols. We aimed to provide a comprehensive and historical overview of which wearable devices have been validated for which purpose and whether they show promise for use in further studies.

methodsPeer-reviewed validation studies from electronic databases, as well as backward and forward citation searches (1970 to July 2021), with the following, required indicators were included: protocol must include real-life conditions, outcome must belong to one dimension of the 24-hour physical behavior construct (intensity, posture or activity type, and biological state), the protocol must include a criterion measure, and study results must be published in English-language journals. The risk of bias was evaluated using the Quality Assessment of Diagnostic Accuracy Studies-2 tool with 9 questions separated into 4 domains (patient selection or study design, index measure, criterion measure, and flow and time).

resultsOf the 13,285 unique search results, 222 (1.67%) articles were included. Most studies (153/237, 64.6%) validated an intensity measure outcome such as energy expenditure. However, only 19.8% (47/237) validated biological state and 15.6% (37/237) validated posture or activity-type outcomes. Across all studies, 163 different wearables were identified. Of these, 58.9% (96/163) were validated only once. ActiGraph GT3X/GT3X+ (36/163, 22.1%), Fitbit Flex (20/163, 12.3%), and ActivPAL (12/163, 7.4%) were used most often in the included studies. The percentage of participants meeting the quality criteria ranged from 38.8% (92/237) to 92.4% (219/237). On the basis of our classification tree to evaluate the overall study quality, 4.6% (11/237) of studies were classified as low risk. Furthermore, 16% (38/237) of studies were classified as having some concerns, and 72.9% (173/237) of studies were classified as high risk.

conclusionsOverall, free-living validation studies of wearables are characterized by low methodological quality, large variability in design, and focus on intensity. Future research should strongly aim at biological state and posture or activity outcomes and strive for standardized protocols embedded in a validation framework. Standardized protocols for free-living validation embedded in a framework are urgently needed to inform and guide stakeholders (eg, manufacturers, scientists, and consumers) in selecting wearables for self-tracking purposes, applying wearables in health studies, and fostering innovation to achieve improved validity.

Indexed as

Fitness TrackersWearable Electronic DevicesAdultExerciseHumansPosturephysical activitysedentary behaviorsleepvalidationwearables

Identifiers

PMID35679106
PMCPMC9227659
OpenAlexW4225115367

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.