| Summary: | 碩士 === 中國醫藥學院 === 醫學研究所 === 90 === Background: Some children have the motor performance problems on their daily routine activities, but we cannot directly detect them from the routine neurological examinations or chromosome structure examinations. They are called- ‘Developmental Coordination Disorder’ (DCD). In the past research studies, there were no agreements on the causal factors or on the treatment programs, because there was lack of a systemic classification model and enough scientific evidence. Purpose: The aim of this study was to develop a systemic classification model for children with developmental coordination disorder through analyzing their motor performance, coordination and characteristics. The specific characteristics of several subgroups would be compared. Methods: In the first part of this study, the Movement ABC (Movement Assessment Battery of Children) examine tool was used to evaluate 1532 students who were 7 to 10 years old. Totally, 171 DCD children and 250 boardline DCD children were identified. In the second part, descriptive statistics and K-mean cluster analysis were used to analyze data in order to identify their characteristics of motor performance and to develop the classification model for children with developmental coordination disorder. Results: According to the results of K-mean cluster analysis, four subgroups of children with DCD were identified. The subgroup 1 was poor in balance items, and also had some problems in manual dexterity and ball skills. The subgroup 2 was the most impairment group, included all testing items. The subgroup 3 was poor in ball skill items. The subgroup 4 was poor in manual dexterity items. There were significant differences in the factors of sex, impairment levels, and most testing items among 4 subgroups. Discussions: The results of this study offered more meaningful and clearer evidence than those of past studies. A preliminary classification model of subgroups of children with DCD was established in this study. In the future, to test this model in large population is essential. Conclusion: To classify the subgroups of children with DCD may help to understand movement behaviors of children with DCD in depth. In addition, the results of this project may guide the development of training programs and the promotion of adapted physical education in schools for children with DCD. The identification of problems of DCD children in depth may further provide the basis for the construction and application of related theories in this field.
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