Application of a joint multivariate longitudinal-survival analysis to examine the terminal decline hypothesis in the Swiss Interdisciplinary Longitudinal Study on the Oldest Old

Journals of Gerontology - Series B Psychological Sciences and Social Sciences

Volumn 63, Issue 3, 2008, Pages

  Ghisletta, Paolo ^a  

^a UNIVERSITY OF GENEVA   (Switzerland)

Author keywords

Change in cognitive performance and survival; Joint multivariate longitudinal survival mode; Terminal decline

Indexed keywords

AGED; AGING; ARTICLE; COGNITION; FEMALE; GENDER; HEALTH STATUS; HUMAN; HUMAN EXPERIMENT; LONGITUDINAL STUDY; MALE; MULTIVARIATE ANALYSIS; NORMAL HUMAN; PRIORITY JOURNAL; PSYCHOLOGIC ASSESSMENT; SENSORY SYSTEM; SOCIOECONOMICS; STATISTICAL MODEL; SURVIVAL; TASK PERFORMANCE; VELOCITY; VERBAL COMMUNICATION; COGNITIVE DEFECT; FOLLOW UP; INTERDISCIPLINARY COMMUNICATION; LINGUISTICS; LONGEVITY; NEUROPSYCHOLOGICAL TEST; PHONETICS; PHYSIOLOGY; PSYCHOLOGICAL THEORY; SEMANTICS; SPEECH ANALYSIS; TELOMERE; VERBAL BEHAVIOR;

AGED; AGED, 80 AND OVER; AGING; COGNITION DISORDERS; FOLLOW-UP STUDIES; HUMANS; INTERDISCIPLINARY COMMUNICATION; LONGEVITY; NEUROPSYCHOLOGICAL TESTS; PHONETICS; PSYCHOLOGICAL THEORY; SEMANTICS; SPEECH PRODUCTION MEASUREMENT; TELOMERE; VERBAL BEHAVIOR; VOCABULARY;

EID: 48249105097     PISSN: 10795014     EISSN: None     Source Type: Journal    
DOI: 10.1093/geronb/63.3.P185     Document Type: Article

References (51)

1. Anstey, K. J., Mack, H. A., & von Sanden, C. (2006). The relationship between cognition and mortality in patients with stroke, coronary heart disease, or cancer. European Psychologist, 11, 182-195.
2. Anstey, K. J., Luszcz, M. A., Giles, L. C., & Andrews, G. R. (2001). Demographic, health, cognitive, and sensory variables as predictors of mortality in very old adults. Psychology and Aging, 16, 3-11.
3. Bäckman, L., & MacDonald, S. W. S. (2006). Death and cognition. Synthesis and outlook. European Psychologist, 11, 224-235.
4. Baltes, P. B., & Nesselroade, J. R. (1979). History and rationale of longitudinal research. In J. R. Nesselroade & P. B. Baltes (Eds.), Longitudinal research in the study of behavior and development (pp. 1-39). New York: Academic Press.
5. Bell, R. Q. (1953). Convergence: An accelerated longitudinal approach. Child Development, 24, 145-152.
6. Birren, J. E. (1965). Age changes in speed of behavior: Its central nature and physiological correlates. In A. T. Weflord & J. E. Birren (Eds.), Behavior, aging, and the nervous system (pp. 191-216). Springfield, IL: Thomas.
7. Bosworth, H. B., & Siegler, I. C. (2002). Terminal change in cognitive function: An updated review of longitudinal studies. Experimental Aging Research, 28, 299-315.
8. Brady, C. B., Spiro, A. I., McGlinchey-Berroth, R., Milberg, W., & Gaziano, J. M. (2001). Stroke risk predicts verbal fluency decline in healthy older men: Evidence from the normative aging study. Journal of Gerontology: Psychological Sciences, 56B, P340-P346.
9. Cardebat, D., Doyon, B., Puel, M., Goulet, P., & Joanette, Y. (1990). Evocation formelle et sémantique chez des sujets normaux. Performances et dynamiques des productions en fonction du sexe, de l'âge, et du niveau d'étude [Formal and semantic evoking in normal subjects. Production performances and dynamics as a function of sex, age, and educational level]. Acta Neurologica Belgica, 90, 207-217.
10. Cattell, R. B. (1943). The measurement of adult intelligence. Psychological Bulletin, 40, 153-193.
11. Cosentino, S., Scarmeas, N., Albert, S. M., & Stern, Y. (2006). Verbal fluency predicts mortality in Alzheimer disease. Cognitive and Behavioral Neurology, 19, 123-129.
12. Cox, D. R. (1972). Regression models and life tables. Journal of the Royal Statistical Society Series B (Methodological), 34, 187-220.
13. Donovan, K., Richard, S., McDowall, J., & Abernethy, D. (1999). Clustering and switching in verbal fluency in Parkinson's disease. New Zealand Journal of Psychology, 28, 61-66.
14. Ferrer, E., Salthouse, T. A., McArdle, J. J., Stewart, W. F., & Schwartz, B. S. (2005). Multivariate modeling of age and retest in longitudinal studies of cognitive abilities. Psychology and Aging, 20, 412-422.
15. Ghisletta, P., Bickel, J.-F., & Lövdén, M. (2006). Does activity engagement protect against cognitive decline in old age? Methodological and analytical considerations. Journal of Gerontology: Psychological Sciences, 61B, P253-P261.
16. Ghisletta, P., & de Ribaupierre, A. (2005). A dynamic investigation of cognitive dedifferentiation with control for retest: Evidence from the Swiss Interdisciplinary Longitudinal Study on the Oldest Old. Psychology and Aging, 20, 671-682.
17. Ghisletta, P., McArdle, J. J., & Lindenberger, U. (2006). Longitudinal cognition-survival relations in old and very old age: 13-year data from the Berlin Aging Study. European Psychologist, 11, 204-223.
18. Ghisletta, P., & Spini, D. (2004). An introduction to generalized estimating equations and an application to assess selectivity effects in a longitudinal study on very old individuals. Journal of Educational and Behavioral Statistics, 29, 421-437.
19. Guilley, E., Ghisletta, P., Armi, F., Berchtold, A., Lalive d'Epinay, C., Michel, J.-P., et al. (in press). Dynamics of frailty and ADL-dependence in a five-year longitudinal study of octogenarians. Research on Aging.
20. Guo, X., & Carlin, B. P. (2004). Separate and joint modeling of longitudinal and event time data using standard computer packages. The American Statistician, 58, 16-24.
21. Harris, S. E., Deary, I. J., Maclntyre, A., Lamb, K. J., Radhakrishnan, K., Starr, J. M., et al. (2006). The association between telomere length, physical health, cognitive ageing, and mortality in non-demented older people. Neuroscience Letters, 406, 260-264.
22. Hassing, L. B., Johansson, B., Berg, S., Nilsson, S. E., Pedersen, N. L., Hofer, S. M., et al. (2002). Terminal decline and markers of cerebro-and cardiovascular disease: Findings from a longitudinal study of the oldest old. Journal of Gerontology: Psychological Sciences, 57B, P268-P276.
23. Henderson, R., Diggle, P. J., & Dobson, A. (2000). Joint modeling of longitudinal measurements and event time data. Biostatistics, 1, 465-480.
24. Hertzog, C., Oertzen, T. von, Ghisletta, P., & Lindenberger, U. (in press). Evaluating the power of latent growth curve models to detect individual differences in change. Structural Equation Modeling.
25. Horn, J. L. (1982). The theory of fluid and crystallized intelligence in relation to concepts of cognitive psychology and aging in adulthood. In F. I. M. Craik & S. E. Trehub (Eds.), Aging and cognitive processes (pp. 77-117). New York: Plenum Press.
26. Katz, S., Ford, A. B., Moskowitz, R. W., Jackson, B. A., & Jaffe, M. W. (1963). Studies of illness in the aged. The index of ADL: A standardized measure of biological and psychosocial function. Journal of the American Medical Association, 185, 914-919.
27. Kitabayashi, Y., Ueda, H., Tsuchida, H., Iizumi, H., Narumoto, J., Nakamura, K., et al. (2001). Relationship between regional cerebral blood flow and verbal fluency in Alzheimer's disease. Psychiatry and Clinical Neurosciences, 55, 459-463.
28. Kleemeier, R. W. (1962). Intellectual changes in the senium. Proceedings of the American Statistical Association, 1, 290-295.
29. Laird, N. M., & Ware, J. H. (1982). Random-effects models for longitudinal data. Biometrics, 38, 963-974.
30. Lalive d'Epinay, C., Pin, S., & Spini, D. (2001). Présentation de SWILSO-O, une étude longitudinale suisse sur le grand âge: L'exemple de la dynamique de la santé fonctionnelle [Presentation of SWILSO-O, a longitudinal Swiss study on very old age: The example of the dynamics of functional health]. L'Année Gérontologique, 15, 78-96.
31. Maier, H., & Smith, J. (1999). Psychological predictors of mortality in old age. Journal of Gerontology: Psychological Sciences, 54B, P44-P54.
32. Marshall, G., De la Cruz-Mesia, R., Barón, A. E., Rutledge, J. H., & Zerbe, G. O. (2006). Non-linear random effects model for multivariate responses with missing data. Statistics in Medicine, 25, 2817-2830.
33. Mayr, U., & Kliegl, R. (2000). Complex semantic processing in old age: Does it stay or does it go? Psychology and Aging, 15, 29-43.
34. McArdle, J. J., Prescott, C. A., Hamagami, F., & Horn, J. L. (1998). A contemporary method for developmental-genetic analyses of age changes in intellectual abilities. Developmental Neuropsychology, 14, 69-114.
35. Rabbitt, P. M. A., Lunn, M., & Wong, D. (2006). Understanding terminal decline in cognition and risk of death. Methodological and theoretical implications of practice and dropout effects. European Psychologist, 11, 164-171.
36. Rascovsky, K., Salmon, D. P., Hansen, L. A., Thai, L. J., & Galasko, D.(2007). Disparate letter and semantic category fluency deficits in autopsy-confirmed frontotemporal dementia and Alzheimer's disease. Neuropsychology, 21, 20-30.
37. Riegel, K. F., & Riegel, R. M. (1972). Development, drop and death. Developmental Psychology, 6, 306-319.
38. Rippon, G. A., Scarmeas, N., Gordon, P. H., Murphy, P. L., Albert, S. M., Mitsumoto, H., et al. (2006). An observational study of cognitive impairment in amyotrophic lateral sclerosis. Archives of Neurology, 63, 345-352.
39. Rogosa, D. R. (1988). Myths about longitudinal research. In K. W. Schaie, R. T. Campbell, W. Meredith, & S. C. Rawlings (Eds.), Methodological issues in aging research (pp. 171-209). New York: Springer.
40. SAS Institute. (2002). The SAS system for Windows. Cary, NC: Author.
41. Salthouse, T. A. (1993). Speed and knowledge as determinants of adults' age differences in verbal tasks. Journal of Gerontology: Psychological Sciences, 48, P29-P36.
42. Salthouse, T. A. (1996). The processing-speed theory of adult age differences in cognition. Psychological Review, 103, 403-428.
43. Sliwinski, M. J., Hofer, S. M., Hall, C., Buschke, H., & Lipton, R. B. (2003). Modeling memory decline in older adults: The importance of preclinical dementia, attrition, and chronological age. Psychology and Aging, 18, 658-671.
44. Sliwinski, M. J., Stawski, R. S., Hall, C. B., Katz, M., Verghese. J., & Lipton, R. B. (2006). Distinguishing preterminal and terminal cognitive decline. European Psychologist, 11, 172-181.
45. Thiébaut, R., & Jacqmin-Gadda, H. (2004). Mixed models for longitudinal left-censored repeated measures. Computer Methods and Programs in Biomedicine, 74, 255-260.
46. Thorvaldsson, V., Hofer, S. M., & Johansson, B. (2006). Aging and late-life terminal decline in perceptual speed. European Psychologist, 11, 196-203.
47. Troster, A. I., Fields, J. A., Testa, J. A., Paul, R. H., Blanco, C. R., Hames, K. A., et al. (1998). Cortical and subcortical influences on clustering and switching in the performance of verbal fluency tasks. Neuropsychologic, 36, 295-304.
48. Troyer, A. K., Moscovitch, M., & Winocur, G. (1997). Clustering and switching as two components of verbal fluency: Evidence from younger and older healthy adults. Neuropsychology, 11, 138-146.
49. Wahlin, A., Nilsson, E., & Fastbom, J. (2002). Cognitive performance in very old diabetic persons: The impact of semantic structure, preclinical dementia, and impending death. Neuropsychology, 16, 208-216.
50. White, N, & Cunningham, W. R. (1988). Is terminal drop pervasive or specific? Journal of Gerontology: Psychological Sciences, 43, P141-P144.
51. Woodcock, R., & Johnson, M. B. (1989). Woodcock-Johnson Psycho-Educational Battery-Revised. Chicago: Riverside.