Evidence mapPaperPMID 39727839Full record

ReviewBiosensors2024

Advanced Wearable Devices for Monitoring Sweat Biochemical Markers in Athletic Performance: A Comprehensive Review.

Graziana Assalve, Paola Lunetti, Alessandra Di Cagno, Ernesto William De Luca, Stefano Aldegheri, Vincenzo Zara, Alessandra Ferramosca

Abstract readReview
In one paragraph

Review in Biosensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 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

7 authors.

Graziana AssalveDepartment of Experimental Medicine, University of Salento, 73100 Lecce, Italy.ORCID 0009-0002-0165-7920
Paola LunettiDepartment of Experimental Medicine, University of Salento, 73100 Lecce, Italy.ORCID 0000-0001-7118-1994
Alessandra Di CagnoDepartment of Human Sciences, Guglielmo Marconi University, 00193 Rome, Italy.ORCID 0000-0003-4517-3100
Ernesto William De LucaDepartment of Engineering Sciences, Guglielmo Marconi University, 00193 Rome, Italy.
Stefano AldegheriDepartment of Engineering Sciences, Guglielmo Marconi University, 00193 Rome, Italy.
Vincenzo ZaraDepartment of Experimental Medicine, University of Salento, 73100 Lecce, Italy.
Alessandra FerramoscaDepartment of Experimental Medicine, University of Salento, 73100 Lecce, Italy.ORCID 0000-0002-8251-9652

Funding

Italian Ministero dell'Università e della Ricerca 2022KREEEF
6 · The paper itself

Abstract

Wearable technology has advanced significantly, offering real-time monitoring of athletes' physiological parameters and optimizing training and recovery strategies. Recent developments focus on biosensor devices capable of monitoring biochemical parameters in addition to physiological ones. These devices employ noninvasive methods such as sweat analysis, which reveals critical biomarkers like glucose, lactate, electrolytes, pH, and cortisol. These biomarkers provide valuable insights into an athlete's energy use, hydration status, muscle function, and stress levels. Current technologies utilize both electrochemical and colorimetric methods for sweat analysis, with electrochemical methods providing higher precision despite potential signal interference. Wearable devices such as epidermal patches, temporary tattoos, and fabric-based sensors are preferred for their flexibility and unobtrusive nature compared to more rigid conventional wearables. Such devices leverage advanced materials and transmit real-time data to computers, tablets, or smartphones. These data would aid coaches and sports medical personnel in monitoring athletes' health, optimizing diets, and developing training plans to enhance performance and reduce injuries.

Indexed as

Athletic PerformanceBiomarkersBiosensing TechniquesSweatWearable Electronic DevicesHumansMonitoring, PhysiologicBiomarkersbiosensorscortisolelectrolytesglucoselactatepHsport

Identifiers

PMID39727839
PMCPMC11674680

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.