School of Optometry and Vision Science and Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia.
School of Early Childhood and Inclusive Education, Queensland University of Technology, Brisbane, Queensland, Australia.
Acta Ophthalmol. 2019 Dec;97(8):e1141-e1148. doi: 10.1111/aos.14172. Epub 2019 Jun 22.
This study evaluated the association between performance on visual information processing tests and academic performance in school children.
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.
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]).
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.
本研究评估了视觉信息处理测试表现与学龄儿童学业成绩之间的关系。
在 222 名二年级儿童(平均年龄:7.90±0.33 岁)中评估了视动整合(VMI)、发育性眼运动(DEM)测试、视力和立体视锐度。使用阅读和数学标准化测试(PAT-R 和 PAT-M)评估学业成绩。线性回归分析考察了视觉信息处理(VMI 和 DEM)与学业成绩之间的关系,同时调整了学校社会经济背景和年龄的影响。使用接收者操作特征(ROC)分析评估了这些测试识别学业成绩低于平均水平儿童的能力。
视动整合(VMI)和 DEM(水平时间)与 PAT-R 和 PAT-M 的相关性最强。线性回归模型解释了 PAT-R 变异的 28.6%(VMI:标准化回归系数=0.31,p<0.01;DEM 水平时间:-0.28,p<0.01)和 PAT-M 变异的 24.1%(VMI:标准化回归系数=0.29,p<0.01;DEM 水平时间:-0.16,p=0.02)。ROC 曲线分析表明,VMI 与 PAT-R (曲线下面积[AUC]为 0.74 [95%CI:0.67-0.81])和 PAT-M (AUC 为 0.73 [95%CI:0.66-0.81])低于平均水平的相关性最强。
视动整合(VMI)与学龄儿童的阅读和数学成绩相关性最强。儿童的学业成绩可能是其视光管理的重要因素。临床测试识别学业成绩欠佳的儿童的能力为临床医生管理患者提供了额外的支持。