Mancuso Mauro, Damora Alessio, Abbruzzese Laura, Navarrete Eduardo, Basagni Benedetta, Galardi Giuseppe, Caputo Marina, Bartalini Brunella, Bartolo Michelangelo, Zucchella Chiara, Carboncini Maria C, Dei Simona, Zoccolotti Pierluigi, Antonucci Gabriella, De Tanti Antonio
Tuscany Rehabilitation Clinic, Arezzo, Italy.
National Health Service, Azienda USL Toscana Sud Est, Siena, Italy.
Front Psychol. 2019 Jan 22;9:2745. doi: 10.3389/fpsyg.2018.02745. eCollection 2018.
The Bells Test is a cancelation task that is widely used for the diagnosis of unilateral spatial neglect (USN). With the aim of fostering more reliable use of this instrument, we set out to develop new norms adjusted for the possible influence of age, gender and education. We worked on the original version of the test. Normative data were collected from 401 healthy participants aged between 20 and 80 years. Individual factors that could affect performance (i.e., gender, age, and years of education) were considered. We computed several indices on the Bells Test including an asymmetry score, an accuracy score and execution time. Multiple regression analyses (for time measures) and generalized linear models (for accuracy measures) were used to check for the influence of individual predictors of performance on the Bells Test. Data indicated a significant influence of age on the accuracy score and execution time variables and a marginally significant effect of education on the accuracy score variable. Wherever appropriate, cut-offs are provided for the three dependent scores on the Bells Test corrected for age and education. Based on a large normative sample, the present study provides new normative data on the Bells Test, which could lead to its reliable use in the diagnosis of USN.
贝尔氏测验是一项广泛用于诊断单侧空间忽视（USN）的取消任务。为了促进该工具的更可靠使用，我们着手制定针对年龄、性别和教育程度可能影响进行调整的新常模。我们对该测验的原始版本进行了研究。从401名年龄在20至80岁之间的健康参与者中收集了常模数据。考虑了可能影响表现的个体因素（即性别、年龄和受教育年限）。我们计算了贝尔氏测验的几个指标，包括不对称分数、准确性分数和执行时间。使用多元回归分析（用于时间测量）和广义线性模型（用于准确性测量）来检验表现的个体预测因素对贝尔氏测验的影响。数据表明年龄对准确性分数和执行时间变量有显著影响，教育程度对准确性分数变量有边缘显著影响。在适当的情况下，给出了针对年龄和教育程度校正后的贝尔氏测验三个相关分数的临界值。基于一个大型常模样本，本研究提供了贝尔氏测验的新常模数据，这可能使其在USN诊断中得到可靠应用。
