Abstract
Background Sensorimotor processes underpin skilled human behaviour and can thus act as an important marker of neurological status. Kinematic assessments offer objective measures of sensorimotor control but can generate countless output variables. This study sought to guide future analyses of such data by determining the key variables that capture children’s sensorimotor control on a standardised assessment battery deployed in cohort studies. Methods The Born in Bradford (BiB) longitudinal cohort study has collected sensorimotor data from 22,266 children aged 4–11 years via a computerised kinematic assessment battery (“CKAT”). CKAT measures three sensorimotor processing tasks (Tracking, Aiming, Steering). The BiB CKAT data were analysed using a “train then test” approach with two independent samples. Independent models were constructed for Tracking, Aiming, and Steering. The data were analysed using Principal Components Analysis followed by Confirmatory Factor Analysis. Results The kinematic data could be reduced to 4-7 principal components per task (decreased from >600 individual data points). These components reflect a wide range of core sensorimotor competencies including measures of both spatial and temporal accuracy. Further analyses using the derived variables showed these components capture the age-related differences reported in the literature (via a range of measures selected previously in a necessarily arbitrary way by study authors). Conclusions We identified the key variables of interest within the rich kinematic measures generated by a standardised tool for assessing sensorimotor control processes (CKAT). This work can guide future use of such data by providing a principled framework for the selection of the appropriate variables for analysis (where otherwise high levels of redundancy cause researchers to make arbitrary decisions). These methods could and should be applied in any form of kinematic assessment.
Funder
Medical Research Council
Wellcome Trust
National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care Yorkshire and Humber
Economic and Social Research Council
Reference81 articles.
1. Development, maturation and learning influence on handwriting kinematics.;A Accardo;Hum Mov Sci.,2013
2. Kinematic analysis of human movement.;K An;Ann Biomed Eng.,1984
3. Confirmatory factor analysis.;B Bandalos,1996
4. Growing up in Bradford: protocol for the age 7–11 follow up of the born in Bradford birth cohort.;P Bird;BMC Public Health.,2019
5. International clinical practice recommendations on the definition, diagnosis, assessment, intervention, and psychosocial aspects of Developmental Coordination Disorder.;R Blank;Dev Med Child Neurol.,2019