Literature DB >> 27821948

The correlation between proprioception and handwriting legibility in children.

So Young Hong1, Nam-Hae Jung1, Kyeong Mi Kim2.   

Abstract

[Purpose] This study investigated the association between proprioception, including joint position sense and kinetic sense, and handwriting legibility in healthy children.
[Subjects and Methods] Assessment of joint position sense, kinetic sense, and handwriting legibility was conducted for 19 healthy children. Joint position sense was assessed by asking the children to flex their right elbow between 30° to 110° while blindfolded. The range of elbow movement was analyzed with Compact Measuring System 10 for 3D motion Analysis. Kinetic sense was assessed using the Sensory Integration and Praxis Test. The children were directed to write 30 words from the Korean alphabet, and the legibility of their handwriting was scored for form, alignment, space, size, and shape. To analyze the data, descriptive statistics and Spearman correlation analysis were conducted using IBM SPSS Statistics 20.0.
[Results] There was significant negative correlation between handwriting legibility and Kinetic sense. A significant correlation between handwriting legibility and Joint position sense was not found.
[Conclusion] This study showed that a higher Kinetic sense was associated with better legibility of handwriting. Further work is needed to determine the association of handwriting legibility and speed with Joint position sense of the elbow, wrist, and fingers.

Entities:  

Keywords:  Handwriting; Joint position sense; Kinesthesia

Year:  2016        PMID: 27821948      PMCID: PMC5088139          DOI: 10.1589/jpts.28.2849

Source DB:  PubMed          Journal:  J Phys Ther Sci        ISSN: 0915-5287


INTRODUCTION

Handwriting is an essential fine motor skill in school-aged children1). Children spend from 31 to 60% of their school day either writing or performing other fine motor tasks2). Handwriting legibility affects readability. The preparatory skills for writing are coordination of multiple joints, visual perception, vision-motor integration, and proprioception3). Proprioception relays information on body position from muscles and joints to the brain4). Together with stereognosis, proprioception allows smooth joint movement when vision is impaired or absent5). Children with poor proprioception have problems with handwriting legibility because their grip on a pen is too strong or too weak4). Generally, proprioception can be measured with joint position sense (JPS) and kinesthetic sense (KS)6). While there are many studies investigating children’s handwriting, quantitative studies on the association between handwriting and proprioception involving JPS and KS are lacking7). The aim of this study was to investigate the association between proprioception, involving JPS and KS, and handwriting legibility in children.

SUBJECTS AND METHODS

Nineteen healthy children (15 boys and 4 girls) with an average age of 9.7 ± 0.36 years participated in this study. All subjects were right-handed. Children with musculoskeletal diseases were excluded. Prior to the study, the children and their parents were informed about the purpose of the study and the general procedures to be undertaken. All children and parents signed an informed consent form. The study was approved by the Kaya University of Human Health Science Studies Committee. Proprioception was measured in terms of JPS and KS. JPS was measured with the children blindfolded and sitting on a chair. The investigator moved the child’s right arm passively through 80° of flexion at the elbow (from 30° to 110°). The children were then directed to repeat this motion 10 times following a metronome set at 1 s intervals. Their movements were recorded by a Compact Measuring System (CMS) 10 for 3D Motion Analysis (Using the Winarm software Zebris Medical GmbH, Germany). CMS markers were placed at the greater tubercle and lateral epicondyle of the right humerus and at the right wrist. Angles of deviation from the targeted range of flexion were analyzed using Matlab version 2014a (The Match Works Inc., 2014). KS was measured by the kinesthesia item in the Sensory Integration and Praxis Tests (SIPT, WPS, Torrance, CA, USA). The test sheet comprises 11 lines of differing directions and distances. The investigator moved a finger of the subject passively along a line from beginning to end, allowing the child to learn the line direction and distance. Then, blindfolded and after one trial, the children were directed to trace five lines for each hand. Only the results of the right hand were analyzed in this study. The investigator then measured the distance between the test endpoints and the real endpoints of the lines. The distance is inversely proportional to accuracy of KS. The Korean alphabet was used to assess the legibility of handwriting. Two elementary school teachers selected thirty test words from a Korean textbook. Legibility was evaluated using form, alignment, space, size, and slope8). High scores equate to high legibility. The legibility score was calculated as the ratio of the number of clearly written words to the total number of words (Score for legibility (%) = Number of letters that received 5 points/30 × 100). Higher scores mean better legibility. All data were analyzed using IBM SPSS Statistics 20.0 (IBM Corp., Armonk, NY, USA). Spearman’s rank correlation was used to determine the relationships between legibility of handwriting and JPS and KS, with significance defined as p<0.05.

RESULTS

Values obtained for JPS and KS in relation to handwriting legibility are shown in Table 1. There was no correlation between writing legibility and JPS at either 30° or 110° of elbow flexion (p>0.05). A high KS correlated significantly with legible handwriting (p<0.05, Table 2).
Table 1.

Handwriting legibility and proprioception test results (N=19)

Mean ± SD*
Joint position sense 110° (degree)22.530 ± 10.063
Joint position sense 30° (degree)14.256 ± 10.408
Kinesthetic sense (cm)2.044 ± 0.703
Handwriting legibility (%)33.521 ± 15.852

*Standard deviation

Table 2.

Correlation between handwriting legibility and proprioception (N=19)

Handwriting legibility (%)
Joint position sense 110° (degree)0.016
Joint position sense 30° (degree)−0.009
Kinesthetic sense (cm)−0.370*

*p<0.05

*Standard deviation *p<0.05

DISCUSSION

This study investigated the association between the legibility of handwriting and JPS and KS in young children. Children aged between 7 and 8 years are expected to be proficient in building up their speed of handwriting, ensuring consistency in size and proportions of letters as well as the spacing between letters and words9). The average age of the participants in this study was 9.7 years old. Some authors question the reliability of tests for JPS10,11,12). The SIPT has been shown to be reliable13). Our results showed that a highly accurate KS was associated with higher legibility scores. Laszlo and Bairstow14) proposed that kinesthetic feedback has two functions in handwriting. KS provides ongoing error information and memory storage to be recalled when writing is repeated. A high KS leads to programmed error correction, and the upgraded program generates better writing legibility. The results of this study support the hypothesis that KS reinforces the linkage between visual and motor control required for clear handwriting15). We found no correlation between handwriting legibility and JPS at the elbow joint. We studies JPS at the elbow joint because proprioception at the elbow joint is necessary for performing fine manipulative tasks including handwriting16). However, clear handwriting requires coordinated movement involving multiple joints. Studies have reported that proprioception at the wrist joint17) and finger joints18) influences handwriting legibility. Future studies need to analyze JPS of fingers and the wrist. This study has some limitations. The small sample size is insufficient to represent the population. We looked at children within a limited age range—between 9 and 10 years of age. Further, we did not control for other factors that affect writing legibility, such as fine motor control and visual-motor integration19,20,21). Finally, although handwriting quality is measured in terms of legibility and speed, this study investigated only writing legibility.
  16 in total

1.  Perceptual-motor function of school-age children with slow handwriting speed.

Authors:  M H Tseng; S M Chow
Journal:  Am J Occup Ther       Date:  2000 Jan-Feb

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Authors:  Ayman M Ebied; Graham J Kemp; Simon P Frostick
Journal:  J Orthop Res       Date:  2004-07       Impact factor: 3.494

3.  Grip force variability and its effects on children's handwriting legibility, form, and strokes.

Authors:  Tiago H Falk; Cynthia Tam; Heidi Schwellnus; Tom Chau
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4.  Evaluating the coordination dynamics of handwriting.

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Journal:  Hum Mov Sci       Date:  2004-11       Impact factor: 2.161

5.  Interindividual uniformity and variety of the "Writing center": a functional MRI study.

Authors:  Genichi Sugihara; Tatsuro Kaminaga; Morihiro Sugishita
Journal:  Neuroimage       Date:  2006-07-26       Impact factor: 6.556

6.  Test-retest reliability of joint position and kinesthetic sense in the elbow of healthy subjects.

Authors:  Birgit Juul-Kristensen; Hans Lund; Klaus Hansen; Hanne Christensen; Bente Danneskiold-Samsøe; Henning Bliddal
Journal:  Physiother Theory Pract       Date:  2008 Jan-Feb       Impact factor: 2.279

7.  Dysgraphia in children: lasting psychomotor deficiency or transient developmental delay?

Authors:  B C Smits-Engelsman; G P Van Galen
Journal:  J Exp Child Psychol       Date:  1997-11

8.  Factors that relate to good and poor handwriting.

Authors:  H Cornhill; J Case-Smith
Journal:  Am J Occup Ther       Date:  1996-10

9.  Quantitative assessment of limb position sense following stroke.

Authors:  Sean P Dukelow; Troy M Herter; Kimberly D Moore; Mary Jo Demers; Janice I Glasgow; Stephen D Bagg; Kathleen E Norman; Stephen H Scott
Journal:  Neurorehabil Neural Repair       Date:  2009-09-30       Impact factor: 3.919

10.  The Rivermead Assessment of Somatosensory Performance (RASP): standardization and reliability data.

Authors:  Charlotte E Winward; Peter W Halligan; Derick T Wade
Journal:  Clin Rehabil       Date:  2002-08       Impact factor: 3.477

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