Evidence map›Paper›PMID 37328601›Full record

ArticleScientific reports2023

Sex-dependent performance differences in curvilinear aiming arm movements in octogenarians.

Dieter F Kutz, Stephanie Fröhlich, Julian Rudisch, Katrin Müller, Claudia Voelcker-Rehage

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 90% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 institutions in 1 country.

Dieter F KutzDepartment of Neuromotor Behavior and Exercise, Institute of Sport and Exercise Sciences, University of Muenster, Wilhelm-Schickard-Str. 8, 48149, Münster, Germany. dieter.kutz@uni-muenster.de.
Stephanie FröhlichDepartment of Neuromotor Behavior and Exercise, Institute of Sport and Exercise Sciences, University of Muenster, Wilhelm-Schickard-Str. 8, 48149, Münster, Germany.
Julian RudischDepartment of Neuromotor Behavior and Exercise, Institute of Sport and Exercise Sciences, University of Muenster, Wilhelm-Schickard-Str. 8, 48149, Münster, Germany.
Katrin MüllerFaculty of Behavioural and Social Sciences, Institute of Human Movement Science and Health, Chemnitz University of Technology, 09107, Chemnitz, Germany.
Claudia Voelcker-RehageDepartment of Neuromotor Behavior and Exercise, Institute of Sport and Exercise Sciences, University of Muenster, Wilhelm-Schickard-Str. 8, 48149, Münster, Germany.
Chemnitz University of Technology · DEUniversity of Münster · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In an aging society, it is necessary to detect the cognitive decline of individuals at an early stage using simple measurement methods. This makes early health care possible for those affected. The aim of the study was to develop a classifier for cognitive state in older adults with and without mild cognitive impairment (MCI) based on kinematic parameters of linear and curvilinear aiming arm movements. In a group of 224 older adults over 80 years of age (cognitively healthy and MCI), the movement duration and intersegment intervals of linear and curvilinear arm movements of 20 cm were recorded. Movement duration was significantly longer in the curvilinear condition than in the straight movement, and MCI participants required significantly more time than cognitively healthy participants. Post-hoc analysis on the fluidity of movement in the curvilinear condition showed that MCI men had significantly longer inter-segmental intervals than non-MCI men. No difference was found in women. Based on the inter-segmental intervals, a simple classifier could be developed that correctly classified 63% of the men. In summary, aiming arm movements are only conditionally suitable as a classifier for cognitive states. For the construction of an ideal classifier, age-related degeneration of cortical and subcortical motor areas should be considered.

Indexed as

Cognitive DysfunctionOctogenariansAgedAged, 80 and overAgingArmFemaleHumansMaleMovement

Identifiers

PMID37328601
PMCPMC10276047
OpenAlexW4380988234

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.