Concurrent and Predictive Validity of a Cycloid Loops Copy Task to Assess Handwriting Disorders in Children

Author:

Lopez Clémence1,Vaivre-Douret Laurence123456ORCID

Affiliation:

1. Unit 1018-CESP, PsyDev/NTDA Team, National Institute of Health and Medical Research (INSERM), Faculty of Medicine, University of Paris-Saclay, UVSQ, 91190 Villejuif, France

2. Faculty of Health, Department of Medicine Paris Descartes, Université Paris Cité, 75006 Paris, France

3. University Institute of France (Institut Universitaire de France, IUF), CEDEX 5, 14032 Paris, France

4. Department of Child Psychiatry, AP-HP Centre, Necker-Enfants Malades University Hospital, 75015 Paris, France

5. Department of Endocrinology, IMAGINE Institute, Necker-Enfants Malades University Hospital, 75015 Paris, France

6. Clinical Neurodevelopmental Phenotyping Hôpital Universitaire Necker-Enfants Malades, INSERM UMR 1018-CESP, “Neuro-Développement et Troubles des Apprentissages (NTDA)”, Carré Necker Porte N4, 149, rue de Sèvres, 75015 Paris, France

Abstract

Handwriting disorders (HDs) are mainly assessed using script or cursive handwriting tasks. The most common is the scale for children’s handwriting, with a French adaptation (BHK). The present study aims to assess the concurrent validity of a pre-scriptural task (copying a line of cycloid loops) with the BHK for the diagnosis of HDs. Thirty-five primary school children (7 females, 28 males) with HD aged 6–11 years were recruited and compared to 331 typically developing children (TDC). Spatial/temporal/kinematic measures were collected using a digital pen on a paper. Posture and inter-segmental writing arm coordination were video recorded. A logistic regression statistical method, including a receiver-operating characteristic curve, was used to assess the ability of the task to predict HD. Gestural patterns were significantly less mature in HDs than in TDC (p < 0.05), and associated with poorer quality, less fluid, and slower drawing (p < 0.001). Moreover, good correlations between temporal and kinematic measures and the BHK scale were found. Number of strokes, total drawing time, in-air pauses times, and number of velocity peaks showed very good sensitivity (88%) and specificity (74%) to diagnose HDs. Consequently, the cycloid loops task is an easy, robust, and predictive tool for clinicians to identify HDs before the alphabet is mastered.

Funder

Institut Universitaire de France

Fondation de France

Fondation pour la Recherche en Psychomotricité et Maladies de Civilisation

Publisher

MDPI AG

Subject

Pediatrics, Perinatology and Child Health

Reference39 articles.

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