Evidence map›Paper›PMID 37557962›Full record

ArticleBrain, behavior, and immunity2023

Wearable technologies for health research: Opportunities, limitations, and practical and conceptual considerations.

Lydia G Roos, George M Slavich

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Brain, behavior, and immunity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 4 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

37 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  7. A Geometrically Transient Platform for Bioelectronic Implants.Advanced materials (Deerfield Beach, Fla.) · 2026
    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

2 authors.

Lydia G RoosDepartment of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA. Electronic address: LRoos@mednet.ucla.edu.
George M SlavichDepartment of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA.

Funding

Neural, Inflammatory, and Genomic Mechanisms Underlying Risk for Depression in AdolescenceK08MH103443 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SLAVICH, GEORGE MICHAEL · 2015 to 2018
$772k
NIMH NIH HHS K08 MH103443
6 · The paper itself

Abstract

One of the most notable limitations of laboratory-based health research is its inability to continuously monitor health-relevant physiological processes as individuals go about their daily lives. As a result, we have generated large amounts of data with unknown generalizability to real-world situations and also created a schism between where data are collected (i.e., in the lab) and where we need to intervene to prevent disease (i.e., in the field). Devices using noninvasive wearable technology are changing all of this, however, with their ability to provide high-frequency assessments of peoples' ever-changing physiological states in daily life in a manner that is relatively noninvasive, affordable, and scalable. Here, we discuss critical points that every researcher should keep in mind when using these wearables in research, spanning device and metric decisions, hardware and software selection, and data quality and sampling rate issues, using research on stress and health as an example throughout. We also address usability and participant acceptability issues, and how wearable "digital biomarker" and behavioral data can be integrated to enhance basic science and intervention studies. Finally, we summarize 10 key questions that should be addressed to make every wearable study as strong as possible. Collectively, keeping these points in mind can improve our ability to study the psychobiology of human health, and to intervene, precisely where it matters most: in peoples' daily lives.

Indexed as

Wearable Electronic DevicesBiomedical ResearchHumansMonitoring, PhysiologicDigital biomarkersHealth technologyMeasurementWearablesWearable technology

Identifiers

PMID37557962
PMCPMC11233111

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.