Evidence map›Paper›PMID 35741483›Full record

ArticleEntropy (Basel, Switzerland)2022

Postural Complexity during Listening in Young and Middle-Aged Adults.

Charles Dane Napoli, Karen S Helfer, Richard E A van Emmerik

Open access · goldAbstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 1 institution in 1 country.

Charles Dane NapoliDepartment of Kinesiology, University of Massachusetts Amherst, Amherst, MA 01003, USA.
Karen S HelferDepartment of Communication Disorders, University of Massachusetts Amherst, Amherst, MA 01003, USA.
Richard E A van EmmerikDepartment of Kinesiology, University of Massachusetts Amherst, Amherst, MA 01003, USA.ORCID 0000-0003-4878-3772
University of Massachusetts Amherst · US

Funding

Aging and speech perception in complex listening environmentsR01DC012057 · NIDCD · UNIVERSITY OF MASSACHUSETTS AMHERST · PI HELFER, KAREN S · 2012 to 2021
$3.3M
NIDCD NIH HHS R01 012057NIDCD NIH HHS R01 DC012057
6 · The paper itself

Abstract

Postural behavior has traditionally been studied using linear assessments of stability (e.g., center of pressure ellipse area). While these assessments may provide valuable information, they neglect the nonlinear nature of the postural system and often lead to the conflation of variability with pathology. Moreover, assessing postural behavior in isolation or under otherwise unrealistic conditions may obscure the natural dynamics of the postural system. Alternatively, assessing postural complexity during ecologically valid tasks (e.g., conversing with others) may provide unique insight into the natural dynamics of the postural system across a wide array of temporal scales. Here, we assess postural complexity using Multiscale Sample Entropy in young and middle-aged adults during a listening task of varying degrees of difficulty. It was found that middle-aged adults exhibited greater postural complexity than did young adults, and that this age-related difference in postural complexity increased as a function of task difficulty. These results are inconsistent with the notion that aging is universally associated with a loss of complexity, and instead support the notion that age-related differences in complexity are task dependent.

Indexed as

agingcomplexityentropylisteningposture

Identifiers

PMID35741483
PMCPMC9222853
OpenAlexW4281791851

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.