Evidence map›Paper›PMID 39204796›Full record

ReviewSensors (Basel, Switzerland)2024

Handgrip Strength in Health Applications: A Review of the Measurement Methodologies and Influencing Factors.

Antonino Quattrocchi, Giada Garufi, Giovanni Gugliandolo, Cristiano De Marchis, Domenicantonio Collufio, Salvatore Massimiliano Cardali, Nicola Donato

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Trial
  2. Article
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  5. Article
  6. Article
  7. Handgrip strength testing in rheumatic diseases.Rheumatology international · 2026
    Review
  8. Article
  9. Observational
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. [Comment on the article "Hand strength and high blood pressure, a case-control study"].Revista medica del Instituto Mexicano del Seguro Social · 2025
    Article
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.

Antonino QuattrocchiDepartment of Engineering, University of Messina, 98166 Messina, Italy.ORCID 0000-0002-2567-9588
Giada GarufiDepartment of Neurosurgery, Azienda Ospedaliera Papardo, University of Messina, 98158 Messina, Italy.
Giovanni GugliandoloDepartment of Engineering, University of Messina, 98166 Messina, Italy.ORCID 0000-0001-6500-2232
Cristiano De MarchisDepartment of Engineering, University of Messina, 98166 Messina, Italy.ORCID 0000-0003-1522-7454
Domenicantonio CollufioDepartment of Neurosurgery, Azienda Ospedaliera Papardo, University of Messina, 98158 Messina, Italy.
Salvatore Massimiliano CardaliDepartment of Neurosurgery, Azienda Ospedaliera Papardo, University of Messina, 98158 Messina, Italy.
Nicola DonatoDepartment of Engineering, University of Messina, 98166 Messina, Italy.ORCID 0000-0002-1554-2182

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This narrative review provides a comprehensive analysis of the several methods and technologies employed to measure handgrip strength (HGS), a significant indicator of neuromuscular strength and overall health. The document evaluates a range of devices, from traditional dynamometers to innovative sensor-based systems, and assesses their effectiveness and application in different demographic groups. Special attention is given to the methodological aspects of HGS estimation, including the influence of device design and measurement protocols. Endogenous factors such as hand dominance and size, body mass, age and gender, as well as exogenous factors including circadian influences and psychological factors, are examined. The review identifies significant variations in the implementation of HGS measurements and interpretation of the resultant data, emphasizing the need for careful consideration of these factors when using HGS as a diagnostic or research tool. It highlights the necessity of standardizing measurement protocols to establish universal guidelines that enhance the comparability and consistency of HGS assessments across various settings and populations.

Indexed as

Hand StrengthFemaleHumansMaleMuscle Strength Dynamometerendogenous and exogenous factorshandgrip strengthhealth application measurementsinstruments and devicesmeasurement issuesmeasurement protocolsmethodological aspectsparameters of interest

Identifiers

PMID39204796
PMCPMC11359434

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.