Evidence mapPaperPMID 39941257Full record

ReviewDiagnostics (Basel, Switzerland)2025

Wearables in Chronomedicine and Interpretation of Circadian Health.

Denis Gubin, Dietmar Weinert, Oliver Stefani, Kuniaki Otsuka, Mikhail Borisenkov, Germaine Cornelissen

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
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

22 citing papers in PubMed.

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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.

Denis GubinDepartment of Biology, Tyumen Medical University, 625023 Tyumen, Russia.ORCID 0000-0003-2028-1033
Dietmar WeinertInstitute of Biology/Zoology, Martin Luther University, 06108 Halle-Wittenberg, Germany.
Oliver StefaniDepartment Engineering and Architecture, Institute of Building Technology and Energy, Lucerne University of Applied Sciences and Arts, 6048 Horw, Switzerland.ORCID 0000-0003-0199-6500
Kuniaki OtsukaTokyo Women's Medical University, Tokyo 162-8666, Japan.
Mikhail BorisenkovDepartment of Molecular Immunology and Biotechnology, Institute of Physiology of Komi Science Centre, Ural Branch of the Russian Academy of Sciences, 167982 Syktyvkar, Russia.ORCID 0000-0002-4310-2010
Germaine CornelissenHalberg Chronobiology Center, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0000-0002-1698-1590

Funding

West-Siberian Science and Education Center, Government of Tyumen District, Decree of 20.11.2020 928-rp.
6 · The paper itself

Abstract

Wearable devices have gained increasing attention for use in multifunctional applications related to health monitoring, particularly in research of the circadian rhythms of cognitive functions and metabolic processes. In this comprehensive review, we encompass how wearables can be used to study circadian rhythms in health and disease. We highlight the importance of these rhythms as markers of health and well-being and as potential predictors for health outcomes. We focus on the use of wearable technologies in sleep research, circadian medicine, and chronomedicine beyond the circadian domain and emphasize actigraphy as a validated tool for monitoring sleep, activity, and light exposure. We discuss various mathematical methods currently used to analyze actigraphic data, such as parametric and non-parametric approaches, linear, non-linear, and neural network-based methods applied to quantify circadian and non-circadian variability. We also introduce novel actigraphy-derived markers, which can be used as personalized proxies of health status, assisting in discriminating between health and disease, offering insights into neurobehavioral and metabolic status. We discuss how lifestyle factors such as physical activity and light exposure can modulate brain functions and metabolic health. We emphasize the importance of establishing reference standards for actigraphic measures to further refine data interpretation and improve clinical and research outcomes. The review calls for further research to refine existing tools and methods, deepen our understanding of circadian health, and develop personalized healthcare strategies.

Indexed as

actigraphybiological agechronobiologycircadian rhythmsepidemiologyhealthlongevitymetabolismmonitoringneurodegenerationrisk factorswearables

Identifiers

PMID39941257
PMCPMC11816745

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.