Peña-Casanova Jordi, Quiñones-Ubeda Sonia, Gramunt-Fombuena Nina, Quintana María, Aguilar Miquel, Molinuevo José Luis, Serradell Mónica, Robles Alfredo, Barquero María Sagrario, Payno Maria, Antúnez Carmen, Martínez-Parra Carlos, Frank-García Anna, Fernández Manuel, Alfonso Verónica, Sol Josep M, Blesa Rafael
Section of Behavioral Neurology and Dementias, Hospital del Mar, Institut Municipal d'Assistència Sanitària, Barcelona, Spain.
Arch Clin Neuropsychol. 2009 Jun;24(4):413-29. doi: 10.1093/arclin/acp043. Epub 2009 Aug 6.
As part of the NEURONORMA project, we provide age- and education-adjusted norms for the Stroop color-word interference test (SCWT)-Golden version and the Tower of London-Drexel University version (TOL(DX)). The sample consists of 344 and 347 participants, respectively, who are cognitively normal, community dwelling, and ranging in age from 50 to 90 years. Tables are provided to convert raw scores to age-adjusted scaled scores. These were further converted into education-adjusted scaled scores by applying regression-based adjustments. Demographic variables, age, and education significantly affect scores of the SWCT and TOL(DX), sex, however, was found to be unrelated to performance in this sample. The normative data presented here were obtained from the same study sample as all the other NEURONORMA tests. In addition, the same statistical procedures for data analyses were applied. These co-normed data allow clinicians to compare scores from one test with all tests.
作为NEURONORMA项目的一部分，我们提供了针对Stroop色词干扰测试（SCWT）-黄金版和伦敦塔-德雷塞尔大学版（TOL(DX)）的年龄和教育程度调整后的常模。样本分别由344名和347名参与者组成，他们认知正常，居住在社区，年龄在50至90岁之间。提供了表格以将原始分数转换为年龄调整后的量表分数。通过应用基于回归的调整，这些分数进一步转换为教育程度调整后的量表分数。人口统计学变量、年龄和教育程度显著影响SWCT和TOL(DX)的分数，然而，在该样本中发现性别与表现无关。这里呈现的常模数据与所有其他NEURONORMA测试来自相同的研究样本。此外，应用了相同的数据分析统计程序。这些共同常模数据使临床医生能够将一项测试的分数与所有测试进行比较。
