Southwestern Assessment of Processing Speed (SWAPS): A new brief test with demographically-corrected norms in an ethnically and educationally diverse population

References

• Benedict, R. H. B., DeLuca, J., Phillips, G., LaRocca, N., Hudson, L. D., & Rudick, R. (2017). Validity of the Symbol Digit Modalities Test as a cognition performance outcome measure for multiple sclerosis. Multiple Sclerosis (Houndmills, Basingstoke, England), 23(5), 721–733. https://doi.org/10.1177/1352458517690821
   PubMed Web of Science ®Google Scholar
• Blom, G. (1958). Statistical estimates and transformed beta variables. John Wiley and Sons.
   Google Scholar
• Burggraaff, J., Knol, D. L., & Uitdehaag, B. M. (2017). Regression-based norms for the Symbol Digit Modalities Test in the Dutch population: Improving detection of cognitive impairment in multiple sclerosis. European Neurology, 77(5–6), 246–252. https://doi.org/10.1159/000464405
   PubMed Web of Science ®Google Scholar
• Chiaravalloti, N. D., & DeLuca, J. (2008). Cognitive impairment in multiple sclerosis. The Lancet Neurology, 7(12), 1139–1151. https://doi.org/10.1016/S1474-4422(08)70259-X
   PubMed Web of Science ®Google Scholar
• Cicchetti, D. V. (1994). Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology. Psychological Assessment, 6(4), 284–290. https://doi.org/10.1037/1040-3590.6.4.284
   Google Scholar
• de Jager, C. A., Hogervorst, E., Combrinck, M., & Budge, M. M. (2003). Sensitivity and specificity of neuropsychological tests for mild cognitive impairment, vascular cognitive impairment and Alzheimer’s disease. Psychological Medicine, 33(6), 1039–1050. https://doi.org/10.1017/s0033291703008031
   PubMed Web of Science ®Google Scholar
• Deary, I. J., Johnson, W., & Starr, J. M. (2010). Are processing speed tasks biomarkers of cognitive aging? Psychology and Aging, 25(1), 219–228. https://doi.org/10.1037/a0017750
   PubMed Web of Science ®Google Scholar
• Duff, K., Schoenberg, M. R., Mold, J. W., Scott, J. G., & Adams, R. L. (2011). Gender differences on the Repeatable Battery for the Assessment of Neuropsychological Status subtests in older adults: Baseline and retest data. Journal of Clinical and Experimental Neuropsychology, 33(4), 448–455. https://doi.org/10.1080/13803395.2010.533156
   PubMed Web of Science ®Google Scholar
• Fellows, R. P., Byrd, D. A., & Morgello, S. (2014). Effects of information processing speed on learning, memory, and executive functioning in people living with HIV/AIDS. Journal of Clinical and Experimental Neuropsychology, 36(8), 806–817. https://doi.org/10.1080/13803395.2014.943696
   PubMed Web of Science ®Google Scholar
• Fellows, R. P., & Schmitter-Edgecombe, M. (2019). Symbol Digit Modalities Test: Regression-based normative data and clinical utility. Archives of Clinical Neuropsychology: The Official Journal of the National Academy of Neuropsychologists, 35(1), 105–115. https://doi.org/10.1093/arclin/acz020
   PubMed Web of Science ®Google Scholar
• Finkel, D., & Pedersen, N. L. (2004). Processing speed and longitudinal trajectories of change for cognitive abilities: The Swedish adoption/twin study of aging. Aging Neuropsychology and Cognition, 11(2–3), 325–345. https://doi.org/10.1080/13825580490511152
   Web of Science ®Google Scholar
• Finkel, D., Reynolds, C. A., McArdle, J. J., & Pedersen, N. L. (2007). Age changes in processing speed as a leading indicator of cognitive aging. Psychology and Aging, 22(3), 558–568. https://doi.org/10.1037/0882-7974.22.3.558
   PubMed Web of Science ®Google Scholar
• Gurnani, A. S., & Gavett, B. E. (2017). The differential effects of Alzheimer’s disease and Lewy body pathology on cognitive performance: A meta-analysis. Neuropsychology Review, 27(1), 1–17. https://doi.org/10.1007/s11065-016-9334-0
   PubMed Web of Science ®Google Scholar
• Harris, P. A., Taylor, R., Minor, B. L., Elliott, V., Fernandez, M., O’Neal, L., McLeod, L., Delacqua, G., Delacqua, F., Kirby, J., & Duda, S. N. (2019). The REDCap consortium: Building an international community of software platform partners. Journal of Biomedical Informatics, 95, 103208. https://doi.org/10.1016/j.jbi.2019.103208
   PubMed Web of Science ®Google Scholar
• Harris, P. A., Taylor, R., Thielke, R., Payne, J., Gonzalez, N., & Conde, J. G. (2009). Research electronic data capture (REDCap)-a metadata-driven methodology and workflow process for providing translational research informatics support. Journal of Biomedical Informatics, 42(2), 377–381. https://doi.org/10.1016/j.jbi.2008.08.010
   PubMed Web of Science ®Google Scholar
• Heaton, R. K., Matthews, C. G., Grant, I., & Avitable, N. (1996). Demographic corrections with comprehensive norms: An overzealous attempt or a good start? Journal of Clinical and Experimental Neuropsychology, 18(3), 449–458. https://doi.org/10.1080/01688639608409001
   Web of Science ®Google Scholar
• Heaton, R. K., Taylor, M. J., & Manly, J., (2003). Demographic effects and use of demographically corrected norms with the WAIS-III and WMS-III. In D. S. Tulsky, D. H. Saklofske, G. J. Chelune, R. K. Heaton, R. J. Ivnik, R. Bornstein, & M. F. Ledbetter (Eds.), Clinical interpretation of the WAIS-III and WMS-III (pp. 181–210). Academic Press.
   Google Scholar
• Holdnack, J. A., Zhou, X., Larrabee, G. J., Millis, S. R., & Salthouse, T. A. (2011). Confirmatory factor analysis of the WAIS-IV/WMS/IV. Assessment, 18(2), 178–191. https://doi.org/10.1177/1073191110393106
   PubMed Web of Science ®Google Scholar
• Hoyer, W. J., Stawski, R. S., Wasylyshyn, C., & Verhaeghen, P. (2004). Adult age and Digit Symbol Substitution performance: A meta-analysis. Psychology and Aging, 19(1), 211–214. https://doi.org/10.1037/0882-7974.19.1.211
   PubMed Web of Science ®Google Scholar
• Irwing, P. (2012). Sex differences in g: An analysis of the US standardization sample of the WAIS-III. Personality and Individual Differences, 53(2), 121–126. https://doi.org/10.1016/j.paid.2011.05.001
   Web of Science ®Google Scholar
• Jaeger, J. (2018). Digit Symbol Substitution Test: The case for sensitivity over specificity in neuropsychological testing. Journal of Clinical Psychopharmacology, 38(5), 513–519. https://doi.org/10.1097/JCP.0000000000000941
   PubMed Web of Science ®Google Scholar
• Joy, S., Kaplan, E., & Fein, D. (2004). Speed and memory in the WAIS-III Digit Symbol-Coding subtest across the adult lifespan. Archives of Clinical Neuropsychology: The Official Journal of the National Academy of Neuropsychologists, 19(6), 759–767. https://doi.org/10.1016/j.acn.2003.09.009
   PubMed Web of Science ®Google Scholar
• Keefe, R. S. E., Goldberg, T. E., Harvey, P. D., Gold, J. M., Poe, M. P., & Coughenour, L. (2004). The Brief Assessment of Cognition in Schizophrenia: Reliability, sensitivity, and comparison with a standard neurocognitive battery. Schizophrenia Research, 68(2–3), 283–297. https://doi.org/10.1016/j.schres.2003.09.011
   PubMed Web of Science ®Google Scholar
• Machulda, M. M., Pankratz, V. S., Christianson, T. J., Ivnik, R. J., Mielke, M. M., Roberts, R. O., Knopman, D. S., Boeve, B. F., & Petersen, R. C. (2013). Practice effects and longitudinal cognitive change in normal aging vs. incident mild cognitive impairment and dementia in the Mayo Clinic study of aging. The Clinical Neuropsychologist, 27(8), 1247–1264. https://doi.org/10.1080/13854046.2013.836567
   PubMed Web of Science ®Google Scholar
• Mathias, J. L., & Wheaton, P. (2007). Changes in attention and information-processing speed following severe traumatic brain injury: A meta-analytic review. Neuropsychology, 21(2), 212–223. https://doi.org/10.1037/0894-4105.21.2.212
   PubMed Web of Science ®Google Scholar
• McKay, C., Casey, J. E., Wertheimer, J., & Fichtenberg, N. L. (2007). Reliability and validity of the RBANS in a traumatic brain injured sample. Archives of Clinical Neuropsychology, 22(1), 91–98. https://doi.org/10.1016/j.acn.2006.11.003
   PubMed Web of Science ®Google Scholar
• McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., Mohs, R. C., Morris, J. C., Rossor, M. N., Scheltens, P., Carrillo, M. C., Thies, B., Weintraub, S., & Phelps, C. H. (2011). The diagnosis of dementia due to Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimer’s & Dementia, 7(3), 263–269. https://doi.org/10.1016/j.jalz.2011.03.005
   PubMed Web of Science ®Google Scholar
• Morgan, S. F., & Wheelock, J. (1992). Digit symbol and Symbol Digit Modalities Test: Are they directly interchangeable? Neuropsychology, 6(4), 327–330. https://doi.org/10.1037/0894-4105.6.4.327
   Google Scholar
• Morris, J. C. (1993). The Clinical Dementia Rating (CDR): Current version and scoring rules. Neurology, 43(11), 2412–2414. https://doi.org/10.1212/wnl.43.11.2412-a
   PubMed Web of Science ®Google Scholar
• O’Bryant, S. E., Humphreys, J. D., Bauer, L., McCaffrey, R. J., & Hilsabeck, R. C. (2007). The influence of ethnicity on Symbol Digit Modalities Test performance: An analysis of a multi-ethnic college and hepatitis C patient sample. Applied Neuropsychology, 14(3), 183–188. https://doi.org/10.1080/09084280701508986
   PubMed Web of Science ®Google Scholar
• Parmenter, B. A., Testa, S. M., Schretlen, D. J., Weinstock-Guttman, B., & Benedict, R. H. B. (2010). The utility of regression-based norms in interpreting the minimal assessment of cognitive function in multiple sclerosis (MACFIMS). Journal of the International Neuropsychological Society, 16(1), 6–16. https://doi.org/10.1017/S1355617709990750
   PubMed Web of Science ®Google Scholar
• Randolph, C., Tierney, M. C., Mohr, E., & Chase, T. N. (1998). The Repeatable Battery for the Assessment of Neuropsychological Status (RBANS): Preliminary clinical validity. Journal of Clinical and Experimental Neuropsychology, 20(3), 310–319. https://doi.org/10.1076/jcen.20.3.310.823
   PubMed Web of Science ®Google Scholar
• Rao, S. M., Losinski, G., Mourany, L., Schindler, D., Mamone, B., Reece, C., Kemeny, D., Narayanan, S., Miller, D. M., Bethoux, F., Bermel, R. A., Rudick, R., & Alberts, J. (2017). Processing speed test: Validation of a self-administered, iPad®-based tool for screening cognitive dysfunction in a clinic setting. Multiple Sclerosis (Houndmills, Basingstoke, England), 23(14), 1929–1937. https://doi.org/10.1177/1352458516688955
   PubMed Web of Science ®Google Scholar
• Rivera Mindt, M., Marquine, M. J., Aghvinian, M., Scott, T. M., Cherner, M., Paredes, A. M., Taylor, M. J., Umlauf, A., Suarez, P., Diaz-Santos, M., Kamalyan, L., Heaton, A., Fortuny, L. A. I., & Heaton, R. K. (2021). Demographically-adjusted norms for the processing speed subtests of the WAIS-III in a Spanish-speaking adult population: Results from the Neuropsychological Norms for the U.S.-Mexico Border Region in Spanish (NP-NUMBRS) project. The Clinical Neuropsychologist, 35(2), 293–307. https://doi.org/10.1080/13854046.2020.1723707
   PubMed Web of Science ®Google Scholar
• Ryan, J., Woods, R. L., Britt, C. J., Murray, A. M., Shah, R. C., Reid, C. M., Wolfe, R., Nelson, M. R., Orchard, S. G., Lockery, J. E., Trevaks, R. E., & Storey, E. (2020). Normative data for the Symbol Digit Modalities Test in older white Australians and Americans, African-Americans, and Hispanic/Latinos. Journal of Alzheimer’s Disease Reports, 4(1), 313–323. https://doi.org/10.3233/ADR-200194
   PubMedGoogle Scholar
• Salthouse, T. A. (1992). Influence of processing speed on adult age differences in working memory. Acta Psychologica, 79(2), 155–170. https://doi.org/10.1016/0001-6918(92)90030-H
   PubMed Web of Science ®Google Scholar
• Salthouse, T. A. (2000). Aging and measures of processing speed. Biological Psychology, 54(1–3), 35–54. https://doi.org/10.1016/S0301-0511(00)00052-1
   PubMed Web of Science ®Google Scholar
• Siedlecki, K. L., Falzarano, F., & Salthouse, T. A. (2019). Examining gender differences in neurocognitive functioning across adulthood. Journal of the International Neuropsychological Society, 25(10), 1051–1060. https://doi.org/10.1017/S1355617719000821
   PubMed Web of Science ®Google Scholar
• Smerbeck, A. M., Parrish, J., Yeh, E. A., Hoogs, M., Krupp, L. B., Weinstock-Guttman, B., & Benedict, R. H. B. (2011). Regression-based pediatric norms for the Brief Visuospatial Memory Test: Revised and the Symbol Digit Modalities Test. The Clinical Neuropsychologist, 25(3), 402–412. https://doi.org/10.1080/13854046.2011.554445
   PubMed Web of Science ®Google Scholar
• Smith, A. (1982). Symbol Digit Modalities Test. Western Psychological Services.
   Google Scholar
• Stricker, N. H., Christianson, T. J., Lundt, E. S., Alden, E. C., Machulda, M. M., Fields, J. A., Kremers, W. K., Jack, C. R., Knopman, D. S., Mielke, M. M., & Petersen, R. C. (2021). Mayo Normative Studies: Regression-based normative data for the Auditory Verbal Learning Test for ages 30–91 years and the importance of adjusting for sex. Journal of the International Neuropsychological Society, 27(3), 211–226. https://doi.org/10.1017/S1355617720000752
   PubMed Web of Science ®Google Scholar
• Waring, S. C., O’Bryant, S. E., Reisch, J. S., Diaz-Arrastia, R., Knebl, J., & Doody, R. (2008). The Texas Alzheimer’s Research Consortium longitudinal research cohort: Study design and baseline characteristics. Texas Public Health Journal, 60(3), 9–13.
   Google Scholar
• Wechsler, D. (2008). WAIS-IV Technical and Interpretive Manual. The Psychological Corporation.
   Google Scholar
• Zgaljardic, D. J., Borod, J. C., Foldi, N. S., & Mattis, P. (2003). A review of the cognitive and behavioral sequelae of Parkinson’s disease: Relationship to frontostriatal circuitry. Cognitive and Behavioral Neurology, 16(4), 193–210. https://doi.org/10.1097/00146965-200312000-00001
   PubMedGoogle Scholar