Evidence map›Paper›PMID 37234054›Full record

ArticleSports (Basel, Switzerland)2023

Age and Visual Contribution Effects on Postural Control Assessed by Principal Component Analysis of Kinematic Marker Data.

Arunee Promsri

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Sports (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07370272 (Lumbopelvic Cognitive Movement Control Training Versus Core Stability Exercises in Treatment of Sacroiliac Joint Pain), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
4.4field-weighted citation impact, top 6% 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.

NCT07370272 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Lumbopelvic Cognitive Movement Control Training Versus Core Stability Exercises in Treatment of Sacroiliac Joint Pain

TypeinterventionalSponsorCairo UniversityRan2026 to 2026Enrolled36ConditionsSacroiliac Joint PainArmsThe conventional Physiotherpay Program (US & MET), Core Stability Exercises (CSE), Lumbopelvic cognitive movement control training (CMCT)
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

1 author at 1 institution in 1 country.

Arunee PromsriDepartment of Physical Therapy, School of Allied Health Sciences, University of Phayao, Phayao 56000, Thailand.ORCID 0000-0002-0389-6645
University of Phayao · TH

Funding

University of Phayao UoE65003
6 · The paper itself

Abstract

Postural control, the ability to control the body's position in space, is considered a critical aspect of health outcomes. This current study aimed to investigate the effects of age and visual contribution on postural control. To this end, principal component analysis (PCA) was applied to extract movement components/synergies (i.e., principal movements, PMs) from kinematic marker data of bipedal balancing on stable and unstable surfaces with eyes closed and open, pooled from 17 older adults (67.8 ± 6.6 years) and 17 young adults (26.6 ± 3.3 years), one PCA-analysis for each surface condition. Then, three PCA-based variables were computed for each PM: the relative explained variance of PM-position (PP_rVAR) and of PM-acceleration (PA_rVAR) for measuring the composition of postural movements and of postural accelerations, respectively, and the root mean square of PM-acceleration (PA_RMS) for measuring the magnitude of neuromuscular control. The results show the age and visual contribution effects observed in PM

Indexed as

agingbalanceclosed eyemovement synergyneuromuscular controlpostural controlprincipal component analysis (PCA)unstable surface

Identifiers

PMID37234054
PMCPMC10224344
OpenAlexW4378348924

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.