Evidence map›Paper›PMID 25689161›Full record

ArticlePloS one2015

Age and grip strength predict hand dexterity in adults.

Jason A Martin, Jill Ramsay, Christopher Hughes, Derek M Peters, Martin G Edwards

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 2 pooled it
6.8field-weighted citation impact, top 2% of its field
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

70 citing papers in PubMed, 2 syntheses or guidelines pooled it, 170 citations in OpenAlex.

  1. Pooled it
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10 more citing papers are in PubMed but not listed here.

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

5 authors at 4 institutions in 4 countries.

Jason A MartinFunctional Neuroimaging Group, Department of Radiology, University Hospital Bonn, Sigmund-Freud Str. 25, 53127, Bonn, Germany; Division of Neuropsychology, Hertie-Institute for Clinical Brain Research, Centre for Integrative Neuroscience, Eberhard Karls University, Hoppe-Seyler-Str. 3, 72076, Tübingen, Germany.
Jill RamsaySchool of Health and Population Sciences, University of Birmingham, Birmingham, United Kingdom.
Christopher HughesInstitute of Sport & Exercise Science, University of Worcester, Worcester, United Kingdom.
Derek M PetersInstitute of Sport & Exercise Science, University of Worcester, Worcester, United Kingdom; Faculty of Health & Sport Sciences, University of Agder, Kristiansand, Norway.
Martin G EdwardsPsychological Sciences Research Institute, Université Catholique de Louvain, Louvain-la-Neuve, Belgium; Institute of Neuroscience, Université Catholique de Louvain, Louvain-la-Neuve, Belgium.
University of Worcester · GBUCLouvain · BEUniversity Hospital Bonn · DEUniversity of Birmingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the scientific literature, there is much evidence of a relationship between age and dexterity, where increased age is related to slower, less nimble and less smooth, less coordinated and less controlled performances. While some suggest that the relationship is a direct consequence of reduced muscle strength associated to increased age, there is a lack of research that has systematically investigated the relationships between age, strength and hand dexterity. Therefore, the aim of this study was to examine the associations between age, grip strength and dexterity. 107 adults (range 18-93 years) completed a series of hand dexterity tasks (i.e. steadiness, line tracking, aiming, and tapping) and a test of maximal grip strength. We performed three phases of analyses. Firstly, we evaluated the simple relationships between pairs of variables; replicating the existing literature; and found significant relationships of increased age and reduced strength; increased age and reduced dexterity, and; reduced strength and reduced dexterity. Secondly, we used standard Multiple Regression (MR) models to determine which of the age and strength factors accounted for the greater variance in dexterity. The results showed that both age and strength made significant contributions to the data variance, but that age explained more of the variance in steadiness and line tracking dexterity, whereas strength explained more of the variance in aiming and tapping dexterity. In a third phase of analysis, we used MR analyses to show an interaction between age and strength on steadiness hand dexterity. Simple Slopes post-hoc analyses showed that the interaction was explained by the middle to older aged adults showing a relationship between reduced strength and reduced hand steadiness, whereas younger aged adults showed no relationship between strength and steadiness hand dexterity. The results are discussed in terms of how age and grip strength predict different types of hand dexterity in adults.

Indexed as

AdolescentAdultAgedAged, 80 and overAge FactorsFemaleHandHand StrengthHumansMaleMiddle AgedMotor SkillsMuscle WeaknessYoung Adult

Identifiers

PMID25689161
PMCPMC4331509
OpenAlexW2050454772

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.