Literature DB >> 23747934

Handwriting movement analyses comparing first and second graders with normal or dysgraphic characteristics.

Shao-Hsia Chang1, Nan-Ying Yu.   

Abstract

Dysgraphia of sufficient severity to interfere with the school work has been recognized as representing a distinct deficit; characterization of its movement problem is a necessary step toward offering improved intervention. From among children aged 6-8, 69 children with dysgraphic characteristics (study group) and 69 matched proficient hand-writers (control group) were recruited into this study. Four copying tests of differing complexity levels were administered using a digital tablet. The acquired data included direct measure (axial pen tip force) and derived parameters (stroke velocity, pause time, number of velocity peaks and ratio of In Air to On Paper measures). The major finding is that children with dysgraphic characteristics had increased pause time per stroke and an increased number of directional changes in velocity. Significant differences were also found between students in two different grades, especially in the control group. The parameters extracted and observed in this study can further differentiate and characterize the handwriting problems originating from fine motor deficits.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Computerized evaluation; Dysgraphia; Handwriting

Mesh:

Year:  2013        PMID: 23747934     DOI: 10.1016/j.ridd.2013.02.028

Source DB:  PubMed          Journal:  Res Dev Disabil        ISSN: 0891-4222


  5 in total

1.  Pen-grip kinetics in children with and without handwriting difficulties.

Authors:  Yu-Chen Lin; Chieh-Hsiang Hsu; Cheng-Feng Lin; Hsiu-Yun Hsu; Jin-Wei Liu; Chien-Hsien Yeh; Li-Chieh Kuo
Journal:  PLoS One       Date:  2022-06-24       Impact factor: 3.752

2.  Chinese handwriting performance in preterm children in grade 2.

Authors:  Hui-Ning Shih; Wen-Hui Tsai; Shao-Hsia Chang; Chung-Ying Lin; Rong-Bin Hong; Yea-Shwu Hwang
Journal:  PLoS One       Date:  2018-06-19       Impact factor: 3.240

3.  Phenotyping features in the genesis of pre-scriptural gestures in children to assess handwriting developmental levels.

Authors:  Laurence Vaivre-Douret; Clémence Lopez; Audrey Dutruel; Sébastien Vaivre
Journal:  Sci Rep       Date:  2021-01-12       Impact factor: 4.379

4.  Proximal and distal movement patterns during a graphomotor task in typically developing children and children with handwriting problems.

Authors:  Shoshana Steinhart; Patrice L Weiss; Jason Friedman
Journal:  J Neuroeng Rehabil       Date:  2021-12-20       Impact factor: 4.262

5.  Computerized handwriting evaluation and statistical reports for children in the age of primary school.

Authors:  Shao-Hsia Chang; Nan-Ying Yu
Journal:  Sci Rep       Date:  2022-09-19       Impact factor: 4.996

  5 in total

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