Shelley Hopkins1, Alex A Black1, Sonia L J White2, Joanne M Wood1. 1. School of Optometry and Vision Science and Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia. 2. School of Early Childhood and Inclusive Education, Queensland University of Technology, Brisbane, Queensland, Australia.
Abstract
PURPOSE: This study evaluated the association between performance on visual information processing tests and academic performance in school children. METHODS: Visual-motor integration (VMI), the Developmental Eye Movement (DEM) test, visual acuity and stereoacuity were assessed in 222 Grade 2 children (mean age: 7.90 ± 0.33 years). Academic performance was assessed using standardized tests of reading and mathematics (PAT-R and PAT-M). Linear regression analyses examined associations between visual information processing (VMI and DEM) and academic measures, adjusting for school socio-economic background and age. Receiver operating characteristic (ROC) analysis was used to assess the ability of the tests to identify children with below average academic performance. RESULTS: Visual-motor integration (VMI) and DEM (horizontal time) were most strongly associated with PAT-R and PAT-M. Linear regression models explained 28.6% of variance in PAT-R (VMI: standardized regression coefficient = 0.31, p < 0.01; DEM horizontal time: -0.28, p < 0.01) and 24.1% of variance in PAT-M (VMI: standardized regression coefficient = 0.29, p < 0.01; DEM horizontal time: -0.16, p = 0.02). Receiver operating characteristic (ROC) curve analysis indicated that VMI was most strongly associated with below average PAT-R (area under curve [AUC] of 0.74 [95% CI: 0.67-0.81]) and PAT-M (AUC of 0.73 [95% CI: 0.66-0.81]). CONCLUSION: Visual-motor integration (VMI) was most strongly associated with reading and mathematics scores in school children. A child's academic performance can be an important factor in their optometric management. The ability of clinical tests to identify children at risk of underachieving academically provides additional support to clinicians in managing their patients.
PURPOSE: This study evaluated the association between performance on visual information processing tests and academic performance in school children. METHODS: Visual-motor integration (VMI), the Developmental Eye Movement (DEM) test, visual acuity and stereoacuity were assessed in 222 Grade 2 children (mean age: 7.90 ± 0.33 years). Academic performance was assessed using standardized tests of reading and mathematics (PAT-R and PAT-M). Linear regression analyses examined associations between visual information processing (VMI and DEM) and academic measures, adjusting for school socio-economic background and age. Receiver operating characteristic (ROC) analysis was used to assess the ability of the tests to identify children with below average academic performance. RESULTS: Visual-motor integration (VMI) and DEM (horizontal time) were most strongly associated with PAT-R and PAT-M. Linear regression models explained 28.6% of variance in PAT-R (VMI: standardized regression coefficient = 0.31, p < 0.01; DEM horizontal time: -0.28, p < 0.01) and 24.1% of variance in PAT-M (VMI: standardized regression coefficient = 0.29, p < 0.01; DEM horizontal time: -0.16, p = 0.02). Receiver operating characteristic (ROC) curve analysis indicated that VMI was most strongly associated with below average PAT-R (area under curve [AUC] of 0.74 [95% CI: 0.67-0.81]) and PAT-M (AUC of 0.73 [95% CI: 0.66-0.81]). CONCLUSION: Visual-motor integration (VMI) was most strongly associated with reading and mathematics scores in school children. A child's academic performance can be an important factor in their optometric management. The ability of clinical tests to identify children at risk of underachieving academically provides additional support to clinicians in managing their patients.
Authors: Cristina Alvarez-Peregrina; Miguel Ángel Sánchez-Tena; Cristina Andreu-Vázquez; Cesar Villa-Collar Journal: Int J Environ Res Public Health Date: 2020-03-31 Impact factor: 3.390