Evidence map›Paper›PMID 36501894›Full record

ArticleSensors (Basel, Switzerland)2022

Recommendations for Identifying Valid Wear for Consumer-Level Wrist-Worn Activity Trackers and Acceptability of Extended Device Deployment in Children.

David Wing, Job G Godino, Fiona C Baker, Rongguang Yang, Guillaume Chevance, Wesley K Thompson, Chase Reuter, Hauke Bartsch, Aimee Wilbur, Lisa K Straub and 13 more

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

  1. Pooled it
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  4. Observational
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  10. Observational
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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

23 authors.

David WingHerbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, CA 92093, USA.
Job G GodinoHerbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, CA 92093, USA.
Fiona C BakerCenter for Health Sciences, SRI International, Menlo Park, CA 94025, USA.
Rongguang YangDepartment of Radiology, University of California, San Diego, CA 92093, USA.
Guillaume ChevanceInstituto de Salud Global de Barcelona, 08036 Barcelona, Spain.
Wesley K ThompsonLaureate Institute for Brain Research, Tulsa, OK 74136, USA.
Chase ReuterDepartment of Radiology, University of California, San Diego, CA 92093, USA.
Hauke BartschDepartment of Computer Science, University of Bergen, 5007 Bergen, Norway.
Aimee WilburCenter for Health Sciences, SRI International, Menlo Park, CA 94025, USA.
Lisa K StraubDepartment of Family Medicine and Population Health, Virginia Commonwealth University, Richmond, VA 23284, USA.
Norma CastroDepartment of Psychiatry, University of California, San Diego, CA 92093, USA.
Michael HigginsHerbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, CA 92093, USA.ORCID 0000-0001-9639-3352
Ian M ColrainCenter for Health Sciences, SRI International, Menlo Park, CA 94025, USA.
Massimiliano de ZambottiCenter for Health Sciences, SRI International, Menlo Park, CA 94025, USA.ORCID 0000-0002-0057-5977
Natasha E WadeDepartment of Psychiatry, University of California, San Diego, CA 92093, USA.ORCID 0000-0002-9629-2305
Krista M LisdahlDepartment of Psychology, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA.
Lindsay M SquegliaDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC 29208, USA.
Joseph OrtigaraHerbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, CA 92093, USA.
Bernard FuemmelerDepartment of Family Medicine and Population Health, Virginia Commonwealth University, Richmond, VA 23284, USA.
Kevin PatrickHerbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, CA 92093, USA.
Michael J MasonCenter for Behavioral Health Research, University of Tennessee, Knoxville, TN 37996, USA.
Susan F TapertDepartment of Psychiatry, University of California, San Diego, CA 92093, USA.ORCID 0000-0001-7259-6112
Kara S BagotDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.

Funding

ABCD-USA CONSORTIUM: RESEARCH PROJECTU01DA041048 · NIDA · CHILDREN'S HOSPITAL OF LOS ANGELES · PI Megan Marie Herting, ELIZABETH R SOWELL · 2015 to 2026
$28.7M
15/21 ABCD-USA Consortium: Research Project Site at LIBRU01DA050989 · NIDA · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI ROBIN L AUPPERLE, MARTIN P. PAULUS · 2020 to 2026
$14.7M
ABCD-USA Consortium: Research ProjectU01DA041022 · NIDA · SRI INTERNATIONAL · PI Fiona C Baker, Eva M Muller-Oehring · 2015 to 2026
$13.4M
14/21 ABCD-USA Consortium: Research Project Site at CU BoulderU01DA051018 · NIDA · UNIVERSITY OF COLORADO · PI Marie T Banich, Naomi P. Friedman · 2020 to 2026
$11.4M
18/21 ABCD-USA CONSORTIUM: RESEARCH PROJECT SITE AT THE UNIVERSITY OF FLORIDAU01DA051016 · NIDA · UNIVERSITY OF FLORIDA · PI Linda B. Cottler, SARA JO NIXON · 2020 to 2026
$9.4M
Interpretable Deep Forecasting of Hazardous Substance Use during High SchoolR01DA057567 · NIDA · STANFORD UNIVERSITY · PI Kilian Maria Pohl, Susan F. Tapert · 2022 to 2026
$2.3M
NIDA NIH HHS R01 DA057567NIH HHS U01DA041022NIH HHS U01DA041048NIH HHS U01DA050989NIH HHS U01DA051016NIH HHS U01DA051018, U01DA051037, U01DA050987, U01DA041174, U01DA041106, U01DA041117, U01DA041028, U01DA041134, U01DA050988, U01DA051039, U01DA041156, U01DA041025, U01DA041120, U01DA051038, U01DA041148, U01DA041093, U01DA041089, U24DA041123, U24DA041147.
6 · The paper itself

Abstract

backgroundSelf-reported physical activity is often inaccurate. Wearable devices utilizing multiple sensors are now widespread. The aim of this study was to determine acceptability of Fitbit Charge HR for children and their families, and to determine best practices for processing its objective data.

methodsData were collected via Fitbit Charge HR continuously over the course of 3 weeks. Questionnaires were given to each child and their parent/guardian to determine the perceived usability of the device. Patterns of data were evaluated and best practice inclusion criteria recommended.

resultsBest practices were established to extract, filter, and process data to evaluate device wear, r and establish minimum wear time to evaluate behavioral patterns. This resulted in usable data available from 137 (89%) of the sample.

conclusionsActivity trackers are highly acceptable in the target population and can provide objective data over longer periods of wear. Best practice inclusion protocols that reflect physical activity in youth are provided.

Indexed as

Fitness TrackersWearable Electronic DevicesAccelerometryAdolescentChildExerciseHumansWristchildrenconsumer wearablesFitbitphysical activity

Identifiers

PMID36501894
PMCPMC9738818

What OpenQuestion 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 OpenQuestion graph.