Dementia has a categorical, not dimensional, latent structure

Psychology and Aging

Volumn 27, Issue 3, 2012, Pages 791-797

  Gavett, Brandon E ^a,b   Stern, Robert A ^b  

^a UNIVERSITY OF COLORADO   (United States)

^b BOSTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Dementia; Latent structure; Neuropsychological; Taxometrics

Indexed keywords

ALZHEIMER DISEASE; COGNITIVE DEFECT; CROSS-SECTIONAL STUDY; DEMENTIA; DIFFUSE LEWY BODY DISEASE; DISEASE SEVERITY; FRONTOTEMPORAL DEMENTIA; HUMAN; MINI MENTAL STATE EXAMINATION; MULTIINFARCT DEMENTIA; NOTE; PREDICTION; PSYCHOLOGIC TEST; AGED; ARTICLE; CLASSIFICATION; DISEASE COURSE; FEMALE; LONGITUDINAL STUDY; MALE; NEUROPSYCHOLOGICAL TEST;

AGED; AGED, 80 AND OVER; DEMENTIA; DISEASE PROGRESSION; FEMALE; HUMANS; LONGITUDINAL STUDIES; MALE; NEUROPSYCHOLOGICAL TESTS;

EID: 84873033420     PISSN: 08827974     EISSN: 19391498     Source Type: Journal    
DOI: 10.1037/a0027687     Document Type: Note

References (41)

1. Albert, M. S., DeKosky, S. T., Dickson, D., Dubois, B., Feldman, H., Fox, N. C., Phelps, C. H. (2011). The diagnosis of mild cognitive impairment due to Alzheimer's disease: Recommendations from the National Institute on Aging and Alzheimer's Association workgroup. Alzheimer's & Dementia, 7, 270-279. doi:10.1016/j.jalz.2011.03.008
2. American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders (Revised 4th ed.). Washington, DC: Author.
3. Beekly, D. L., Ramos, E. M., Lee, W. W., Deitrich, W. D., Jacka, M. E., Wu, J., the NIA ADCs. (2007). The National Alzheimer's Coordinating Center (NACC) Database: The Uniform Data Set. Alzheimer Disease and Associated Disorders, 21, 249 -258. doi:10.1097/ WAD.0b013e318142774e
4. Bell-McGinty, S., Podell, K., Franzen, M., Baird, A. D., & Williams, M. J. (2002). Standard measures of executive function in predicting instrumental activities of daily living in older adults. International Journal of Geriatric Psychiatry, 17, 828-834. doi:10.1002/gps.646
5. Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale, NJ: Lawrence-Erlbaum.
6. Dubois, B., Feldman, H. H., Jacova, C., Cummings, J., Dekosky, S. T., Barberger- Gateau, P., Scheltens, P. (2010). Revising the definition of Alzheimer's disease: A new lexicon. The Lancet Neurology, 9, 1118-1127. doi:10.1016/S1474-4422(10)70223-4
7. Dubois, B., Feldman, H. H., Jacova, C., Dekosky, S. T., Barberger- Gateau, P., Cummings, J., Scheltens, P. (2007). Research criteria for the diagnosis of Alzheimer's disease: Revising the NINCDS- ADRDA criteria. The Lancet Neurology, 6, 734 -746. doi:10.1016/S1474- 4422(07)70178-3
8. Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975). "Mini-mental state." A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12, 189 -198. doi: 10.1016/0022-3956(75)90026-6
9. Golden, R. R. (1982). A taxometric model for the detection of a conjectured latent taxon. Multivariate Behavioral Research, 17, 389-416. doi:10.1207/s15327906mbr1703_6
10. Goodglass, H., Kaplan, E., & Barresi, B. (2001). Boston Diagnostic Aphasia Examination Third Edition (BDAE-3). Austin, TX: Pro-Ed.
11. Greenlief, C. L., Margolis, R. B., & Erker, G. J. (1985). Application of the Trail Making Test in differentiating neuropsychological impairment of elderly persons. Perceptual and Motor Skills, 61, 1283-1289. doi: 10.2466/pms.1985.61.3f.1283
12. Jack, C. R., Albert, M. S., Knopman, D. S., McKhann, G. M., Sperling, R. A., Carrillo, M. C., Phelps, C. H. (2011). Introduction to the recommendations from the National Institute on Aging and the Alzheimer's Association workgroup on diagnostic guidelines for Alzheimer's disease. Alzheimer's & Dementia, 7, 257-262. doi:10.1016/j.jalz .2011.03.004
13. Juva, K., Mäkelä, M., Erkinjuntti, T., Sulkava, R., Ylikoski, R., Valvanne, J., & Tilvis, R. (1997). Functional assessment scales in detecting dementia. Age and Ageing, 26, 393-400. doi:10.1093/ageing/26.5.393
14. Kaplan, E., Goodglass, H., & Weintraub, S. (1983). The Boston Naming Test. Philadelphia: Lea and Febiger.
15. McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984). Clinical diagnosis of Alzheimer's disease: Report of the NINCDS-ADRDS Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's disease. Neurology, 34, 939-944.
16. McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R. Jr., Kawas, C. H.,. . Phelps, C. H. (2011). The diagnosis of dementia due to Alzheimer's disease: Recommendations from the National Institute on Aging and the Alzheimer's Association workgroup. Alzheimer's & Dementia, 7, 263-269. doi:10.1016/j.jalz.2011.03.005
17. Meehl, P. E. (1995). Bootstraps taxometrics: Solving the classification problem in psychopathology. American Psychologist, 50, 266-275. doi: 10.1037/0003-066X.50.4.266
18. Meehl, P. E., & Yonce, L. J. (1994). Taxometric analysis: I. Detecting taxonicity with two quantitative indicators using means above and below a sliding cut (MAMBAC procedure). Psychological Reports, 74, 1059- 1274.
19. Meehl, P. E., & Yonce, L. J. (1996). Taxometric analysis: II. Detecting taxonicity using covariance of two quantitative indicators in successive intervals of a third indicator (MAXCOV procedure). Psychological Reports, 78, 1091-1227. doi:10.2466/pr0.1996.78.3c.1091
20. Morris, J. C., Weintraub, S., Chui, H. C., Cummings, J., Decarli, C., Ferris, S., Kukull, W. A. (2006). The Uniform Data Set (UDS): Clinical and cognitive variables and descriptive data from Alzheimer disease centers. Alzheimer Disease and Associated Disorders, 20, 210 -216. doi: 10.1097/01.wad.0000213865.09806.92
21. Mungas, D., Beckett, L., Harvey, D., Farias, S., Reed, B., Carmichael, O. DeCarli, C. (2010). Heterogeneity of cognitive trajectories in diverse older persons. Psychology and Aging, 25, 606 - 619. doi:10.1037/ a0019502
22. O'Connell, M. E., & Tuokko, H. (2010). Age corrections and dementia classification accuracy. Archives of Clinical Neuropsychology, 25, 126- 138. doi:10.1093/arclin/acp111
23. Olazarán, J., Mourante, P., & Bermejo, F. (2005). Clinical validity of two scales of instrumental activities in Alzheimer's disease. Neurologia, 20, 395-401.
24. Petersen, R. C., Doody, R., Kurtz, A., Mohs, R. C., Morris, J. C., Rabins, P. V., Winblad, B. (2001). Current concepts in mild cognitive impairment. Archives of Neurology, 58, 1985-1992. doi:10.1001/ archneur.58.12.1985
25. Pfeffer, R. I., Kurosaki, T. T., Harrah, C. H. Jr., Chance, J. M., & Filos, S. (1982). Measurement of functional activities in older adults in the community. Journal of Gerontology, 37, 323-329.
26. R Development Core Team. (2011). R: A language and environment for statistical computing [Computer software]. Vienna, Austria: R Foundation for Statistical Computing. Retrieved from http://www.R-project.org
27. Reitan, R. M., & Wolfson, D. (1993). The Halstead-Reitan neuropsychological test battery: Theory and clinical interpretation (2nd ed.). Tuscon, AZ: Neuropsychology Press.
28. Reser, J. E. (2009). Alzheimer's disease and natural cognitive aging may represent adaptive metabolism reduction programs. Behavioral and Brain Functions, 5, 13-26. doi:10.1186/1744-9081-5-13
29. Rocchi, A., Pellegrini, S., Siciliano, G., & Murri, L. (2003). Causative and susceptibility genes for Alzheimer's disease: A review. Brain Research Bulletin, 61, 1-24. doi:10.1016/S0361-9230(03)00067-4
30. Ruscio, J. (2010). Taxometric program code [Computer software]. Retrieved from http://www.tcnj.edu/ruscio/taxometrics.html
31. Ruscio, J., Haslam, N., & Ruscio, A. M. (2006). Introduction to the taxometric method: A practical guide. Mahwah, NJ: Erlbaum.
32. Ruscio, J., Walters, G. D., Marcus, D. K., & Kaczetow, W. (2010). Comparing the relative fit of categorical and dimensional latent variable models using consistency tests. Psychological Assessment, 22, 5-21. doi:10.1037/a0018259
33. Sperling, R. A., Aisen, P. S., Beckett, L. A., Bennett, D. A., Craft, S., Fagan, A. M., Phelps, C. H. (2011). Toward defining the preclinical stages of Alzheimer's disease: Recommendations from the National Institute on Aging and the Alzheimer's Association workgroup. Alzheimer's & Dementia, 7, 280-292. doi:10.1016/j.jalz.2011.03.003
34. Spreen, O., & Benton, A. L. (1965). Comparative studies of some psychological tests for cerebral damage. Journal of Nervous and Mental Disease, 140, 323-333. doi:10.1097/00005053-196505000-00002
35. Teng, E., Becker, B. W., Woo, E., Knopman, D. S., Cummings, J. L., & Lu, P. H. (2010). Utility of the functional activities questionnaire for distinguishing mild cognitive impairment from very mild Alzheimer disease. Alzheimer Disease and Associated Disorders, 24, 348 -353. doi: 10.1097/WAD.0b013e3181e2fc84
36. Waller, N. G., & Meehl, P. E. (1998). Multivariate taxometric procedures: Distinguishing types from continua. Thousand Oaks, CA: Sage.
37. Walters, G. D. (2010). Dementia: Continuum or distinct entity? Psychology and Aging, 25, 534-544. doi:10.1037/a0018167
38. Wechsler, D. (1981). Wechsler Adult Intelligence Scale-Revised. San Antonio, TX: Psychological Corporation.
39. Wechsler, D. (1987). Wechsler Memory Scale-Revised. San Antonio, TX: Psychological Corporation.
40. Weintraub, S., Salmon, D., Mercaldo, N., Ferris, S., Graff-Radford, N. R., Chui, H., Morris, J. C. (2009). The Alzheimer's Disease Centers' Uniform Data Set (UDS): The neuropsychological test battery. Alzheimer Disease and Associated Disorders, 23, 91-101. doi:10.1097/ WAD.0b013e318191c7dd
41. Winblad, B., Palmer, K., Kivipelto, M., Jelic, V., Fratiglioni, L., Wahlund, L. O.,. . Petersen, R. C. (2004). Mild cognitive impairment - beyond controversies, towards a consensus: Report of the International Working Group on mild cognitive impairment. Journal of Internal Medicine, 256, 240-246. doi:10.1111/j.1365-2796.2004.01380.x