Use of a tracing task to assess visuomotor performance: effects of age, sex, and handedness.
Use of a tracing task to assess visuomotor performance: effects of age, sex, and handedness.
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使用追踪任务来评估视觉运动表现：年龄、性别和惯用手的影响。
DOI：
10.1093/gerona/glt003
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
Costa,MadalenaD
中科院分区：
文献类型：
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作者：
Stirling,LeiaA;Lipsitz,LewisA;Qureshi,Mona;Kelty-Stephen,DamianG;Goldberger,AryL;Costa,MadalenaD
视觉运动异常在衰老和与年龄相关的疾病中很常见，但难以量化。本研究调查了健康年龄、性别和惯用手对追踪任务表现的影响。参与者（n= 150，年龄21-95岁，75名女性）使用手写笔，用他们的惯用手和非惯用手在平板电脑上围绕一个圆圈跟随一个移动的目标。参与者还进行了Trail Making Test（一种衡量执行功能的测试）。方法计算与圆路径的偏差，得出“误差”时间序列。对于每个时间序列，计算绝对均值、方差和复杂性指数（系统功能和适应性的建议度量）。使用移动目标和触控笔坐标，计算目标区域内任务时间的百分比和累积微暂停持续时间（运动连续性的度量）。结果各指标均有显著性差异（p< .0005）。事后年龄组比较表明，随着年龄的增加，误差的绝对均值和方差增大，复杂性指数减小，目标区域内的时间百分比减小，累积微停顿时间增加。只有复杂性指数在各年龄组优势手与非优势手之间存在显著差异（p< .0005）。所有测量结果均与Trail Making Test相关（p< 0.05）。结论：追踪任务得出的测量结果表明，健康个体的表现差异是年龄、性别和利手性的函数。有必要在特定神经运动综合征人群中进行研究，以测试基于跟踪目标的动态测量作为临床评估工具的效用。
BackgroundVisuomotor abnormalities are common in aging and age-related disease, yet difficult to quantify. This study investigated the effects of healthy aging, sex, and handedness on the performance of a tracing task. Participants (n= 150, aged 21–95 years, 75 females) used a stylus to follow a moving target around a circle on a tablet computer with their dominant and nondominant hands. Participants also performed the Trail Making Test (a measure of executive function).MethodsDeviations from the circular path were computed to derive an “error” time series. For each time series, absolute mean, variance, and complexity index (a proposed measure of system functionality and adaptability) were calculated. Using the moving target and stylus coordinates, the percentage of task time within the target region and the cumulative micropause duration (a measure of motion continuity) were computed.ResultsAll measures showed significant effects of aging (p< .0005). Post hoc age group comparisons showed that with increasing age, the absolute mean and variance of the error increased, complexity index decreased, percentage of time within the target region decreased, and cumulative micropause duration increased. Only complexity index showed a significant difference between dominant versus nondominant hands within each age group (p< .0005). All measures showed relationships to the Trail Making Test (p< .05).ConclusionsMeasures derived from a tracing task identified performance differences in healthy individuals as a function of age, sex, and handedness. Studies in populations with specific neuromotor syndromes are warranted to test the utility of measures based on the dynamics of tracking a target as a clinical assessment tool.