Evidence map›Paper›PMID 35750894›Full record

ArticleScientific reports2022

A study on how concurrent visual feedback affects motor learning of adjustability of grasping force in younger and older adults.

Ryohei Yamamoto, Kazunori Akizuki, Kazuto Yamaguchi, Jun Yabuki, Tatsuya Kaneno

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. The Role of Visual Information Quantity in Fine Motor Performance.Journal of functional morphology and kinesiology · 2024
    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

5 authors.

Ryohei YamamotoDepartment of Rehabilitation, Kyushu University of Nursing and Social Welfare, Kumamoto, Japan. yamamoto.rh@kumamoto-hsu.ac.jp.
Kazunori AkizukiDepartment of Physical Therapy, Kobe International University, Hyogo, Japan.
Kazuto YamaguchiDepartment of Physical Therapy, Ibaraki Prefectural University of Health Sciences, Ibaraki, Japan.
Jun YabukiDepartment of Physical Therapy, Ibaraki Prefectural University of Health Sciences Hospital, Ibaraki, Japan.
Tatsuya KanenoDepartment of Occupational Therapy, Mejiro University, Saitama, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we investigated the differences of the effectiveness from concurrent visual feedback among younger and older adults in learning tasks that require adjustability of grasping force (AGF), as well as the functions related to AGF in each generation. The younger and older adult groups were evaluated for simple visual reaction time as visual-motor speed (VMS) and a 100 g AGF task that reflected the difference between desired performance and actual performance. The main learning task was then practiced using concurrent visual feedback and tested without feedback. The VMS of older adults was slower than that of the younger, and the error in the 100 g AGF task was larger in older adults than in the younger adults. Performance improved from pre-test to retention test in both groups, but the older adult group failed to reach the level of the younger adult group. The results of this study show that concurrent visual feedback is effective for learning the tasks that require AGF in both groups. Indicatively, improvement in performance during practice is insufficient in older people for whom there is a large difference between desired performance and actual performance, or whose VMS is slow.

Indexed as

AgingFeedback, SensoryAgedHand StrengthHumansLearningPsychomotor PerformanceReaction Time

Identifiers

PMID35750894
PMCPMC9232577

What OpenQuestion holds

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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.