Intraindividual variability is a fundamental phenomenon of aging: Evidence from an 8-year longitudinal study across young, middle, and older adulthood

Developmental Psychology

Volumn 50, Issue 1, 2014, Pages 143-151

  Bielak, Allison A M ^a   Cherbuin, Nicolas ^b   Bunce, David ^c   Anstey, Kaarin J ^b  

^a Department of Environmental and Radiological Health Sciences   (United States)

^b AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^c UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

Adulthood; Change; Inconsistency; Intraindividual variability; Longitudinal

Indexed keywords

ADULT; AGING; COGNITION; COHORT ANALYSIS; DECISION MAKING; FEMALE; HUMAN; INDIVIDUALITY; MALE; MIDDLE AGED; PHYSIOLOGY; PSYCHOLOGY; REACTION TIME; REGRESSION ANALYSIS; SEXUAL DEVELOPMENT; YOUNG ADULT;

ADULT; AGING; CHOICE BEHAVIOR; COGNITION; COHORT STUDIES; FEMALE; HUMANS; INDIVIDUALITY; MALE; MIDDLE AGED; REACTION TIME; REGRESSION ANALYSIS; SEX CHARACTERISTICS; YOUNG ADULT;

EID: 84891766831     PISSN: 00121649     EISSN: None     Source Type: Journal    
DOI: 10.1037/a0032650     Document Type: Article

References (48)

1. Anstey, K. J. (1999). Sensorimotor and forced expiratory volume as correlates of speed, accuracy, and variability in reaction time performance in late adulthood. Aging, Neuropsychology, and Cognition, 6, 84-95. doi:10.1076/anec.6.2.84.786
2. Anstey, K. J., Christensen, H., Butterworth, P., Easteal, S., Mackinnon, A., Jacomb, T.,.. Jorm, A. F. (2012). Cohort profile: The PATH through life project. International Journal of Epidemiology, 41, 951-960. doi: 10.1093/ije/dyr025
3. Anstey, K. J., Dear, K., Christensen, H., & Jorm, A. F. (2005). Biomarkers, health, lifestyle, and demographic variables as correlates of reaction time performance in early, middle, and late adulthood. The Quarterly Journal of Experimental Psychology A: Human Experimental Psychology, 58, 5-21.
4. Anstey, K. J., Mack, H. A., Christensen, H., Li, S.-C., Reglade-Meslin, C., Maller, J.,.. Sachdev, P. (2007). Corpus callosum size, reaction time speed and variability in mild cognitive disorders and in a normative sample. Neuropsychologia, 45, 1911-1920. doi:10.1016/j.neuropsychologia.2006.11.020
5. Bielak, A. A. M., Hughes, T. F., Small, B. J., & Dixon, R. A. (2007). It's never too late to engage in lifestyle activities: Significant concurrent but not change relationships between lifestyle activities and cognitive speed. The Journals of Gerontology: Series B: Psychological Sciences and Social Sciecnes, 62, P331-P339. doi:10.1093/geronb/62.6.P331
6. Bielak, A. A. M., Hultsch, D. F., Strauss, E., MacDonald, S. W. S., & Hunter, M. A. (2010a). Intraindividual variability in reaction time predicts cognitive outcomes 5 years later. Neuropsychology, 24, 731-741. doi:10.1037/a0019802
7. Bielak, A. A. M., Hultsch, D. F., Strauss, E., MacDonald, S. W. S., & Hunter, M. A. (2010b). Intraindividual variability is related to cognitive change in older adults: Evidence for within-person coupling. Psychology and Aging, 25, 575-586. doi:10.1037/a0019503
8. Bunce, D., Anstey, K. J., Cherbuin, N., Burns, R., Christensen, H., Wen, W., & Sachdev, P. (2010). Cognitive deficits are associated with frontal and temporal lobe white matter lesions in middle-aged adults living in the community. PLoS ONE, 5, e13567. doi:10.1371/journal.pone.0013567
9. Bunce, D., Anstey, K. J., Christensen, H., Dear, K., Wen, W., & Sachdev, P. (2007). White matter hyperintensities and within-person variability in community-dwelling adults aged 60-64 years. Neuropsychologia, 45, 2009-2015. doi:10.1016/j.neuropsychologia.2007.02.006
10. Bunce, D., Handley, R., & Gaines, S. O., Jr. (2008). Depression, anxiety, and within-person variability in adults aged 18 to 85 years. Psychology and Aging, 23, 848-858. doi:10.1037/a0013678
11. Burns, R. A., Butterworth, P., Kiely, K. M., Bielak, A. A. M., Luszcz, M. A., Mitchell, P.,.. Anstey, K. J. (2011). Multiple imputation was an efficient method for harmonizing the Mini-Mental State Examination with missing item-level data. Journal of Clinical Epidemiology, 64, 787-793. doi:10.1016/j.jclinepi.2010.10.011
12. Burton, C. L., Strauss, E., Hultsch, D. F., & Hunter, M. A. (2009). The relationship between everyday problem solving and inconsistency in reaction time in older adults. Aging, Neuropsychology, and Cognition, 16, 607-632. doi:10.1080/13825580903167283
13. Burton, C. L., Strauss, E., Hultsch, D. F., Moll, A., & Hunter, M. A. (2006). Intraindividual variability as a marker of neurological dysfunction: A comparison of Alzheimer's disease and Parkinson's disease. Journal of Clinical and Experimental Neuropsychology, 28, 67-83. doi:10.1080/13803390490918318
14. Cherbuin, N., Sachdev, P., & Anstey, K. J. (2010). Neuropsychological predictors of transition from healthy cognitive aging to mild cognitive impairment: The PATH Through Life Study. The American Journal of Geriatric Psychiatry, 18, 723-733. doi:10.1097/JGP.0b013e3181cdecf1
15. Christensen, H., Dear, K. B. G., Anstey, K. J., Parslow, R. A., Sachdev, P., & Jorm, A. F. (2005). Within-occasion intraindividual variability and preclinical diagnostic status: Is intraindividual variability an indicator of mild cognitive impairment. Neuropsychology, 19, 309-317. doi: 10.1037/0894-4105.19.3.309
16. Deary, I. J., & Der, G. (2005). Reaction time, age, and cognitive ability: Longitudinal findings from age 16 to 63 years in representative population samples. Aging, Neuropsychology, and Cognition, 12, 187-215. doi:10.1080/13825580590969235
17. de Frias, C. M., Dixon, R. A., Fisher, N., & Camicioli, R. (2007). Intraindividual variability in neurocognitive speed: A comparison of Parkinson's disease and normal older adults. Neuropsychologia, 45, 2499-2507. doi:10.1016/j.neuropsychologia.2007.03.022
18. Der, G., & Deary, I. J. (2006). Age and sex differences in reaction time in adulthood: Results from the United Kingdom Health and Lifestyle Survey. Psychology and Aging, 21, 62-73. doi:10.1037/0882-7974.21.1.62
19. Dixon, R. A., Garrett, D. D., Lentz, T. L., MacDonald, S. W. S., Strauss, E., & Hultsch, D. F. (2007). Neurocognitive markers of cognitive impairment: Exploring the roles of speed and inconsistency. Neuropsychology, 21, 381-399. doi:10.1037/0894-4105.21.3.381
20. Fjell, A. M., Westlye, L. T., Amlien, I. K., & Walhovd, K. B. (2011). Reduced white matter integrity is related to cognitive instability. The Journal of Neuroscience, 31, 18060-18072. doi:10.1523/JNEUROSCI.4735-11.2011
21. Folstein, M., Folstein, S., & 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
22. Fozard, J. L., Vercruyssen, M., Reynolds, S. L., Hancock, P. A., & Quilter, R. E. (1994). Age differences and changes in reaction time: The Baltimore Longitudinal Study of Aging. Journals of Gerontology: Psychological Sciences, 49, P179-P189.
23. Goldberg, D., Bridges, K., Duncan-Jones, P., & Grayson, D. (1988). Detecting anxiety and depression in general medical settings. British Medical Journal, 297, 897-899. doi:10.1136/bmj.297.6653.897
24. Hultsch, D. F., MacDonald, S. W. S., & Dixon, R. A. (2002). Variability in reaction time performance of younger and older adults. The Journals of Gerontology: Series B: Psychological Sciences and Social Sciences, 57, P101-P115. doi:10.1093/geronb/57.2.P101
25. Hultsch, D. F., MacDonald, S. W. S., Hunter, M. A., Levy-Bencheton, J., & Strauss, E. (2000). Intraindividual variability in cognitive performance in older adults: Comparison of adults with mild dementia, adults with arthritis, and healthy adults. Neuropsychology, 14, 588-598. doi: 10.1037/0894-4105.14.4.588
26. Hultsch, D. F., Strauss, E., Hunter, M. A., & MacDonald, S. W. S. (2008). Intraindividual variability, cognition, and aging. In F. I. M. Craik & T. A. Salthouse (Eds.), The handbook of aging and cognition (3rd ed; pp. 491-556). New York, NY: Psychology Press.
27. Jorm, A. F., Anstey, K. J., Christensen, H., & Rodgers, B. (2004). Gender differences in cognitive abilities: The mediating role of health state and health habits. Intelligence, 32, 7-23. doi:10.1016/j.intell.2003.08.001
28. Li, S.-C., Aggen, S. H., Nesselroade, J. R., & Baltes, P. B. (2001). Short-term fluctuations in elderly people's sensorimotor functioning predict text and spatial memory performance: The MacArthur Successful Aging Studies. Gerontology, 47, 100-116. doi:10.1159/000052782
29. Li, S.-C., Lindenberger, U., Hommel, B., Aschersleben, G., Prinz, W., & Baltes, P. B. (2004). Transformations in the couplings among intellectual abilities and constituent cognitive processes across the life span. Psychological Science, 15, 155-163. doi:10.1111/j.0956-7976.2004.01503003.x
30. Li, S.-C., Lindenberger, U., & Sikström, S. (2001). Aging cognition: From neuromodulation to representation. Trends in Cognitive Sciences, 5, 479-486. doi:10.1016/S1364-6613(00)01769-1
31. Lövdén, M., Li, S.-C., Shing, Y. L., & Lindenberger, U. (2007). Withinperson trial-to-trial variability precedes and predicts cognitive decline in old and very old age: Longitudinal data from the Berlin Aging Study. Neuropsychologia, 45, 2827-2838. doi:10.1016/j.neuropsychologia.2007.05.005
32. MacDonald, S. W. S., Hultsch, D. F., & Dixon, R. A. (2003). Performance variability is related to change in cognition: Evidence from the Victoria Longitudinal Study. Psychology and Aging, 18, 510-523. doi:10.1037/0882-7974.18.3.510
33. MacDonald, S. W. S., Hultsch, D. F., & Dixon, R. A. (2008). Predicting impending death: Inconsistency in speed is a selective and early marker. Psychology and Aging, 23, 595-607. doi:10.1037/0882-7974.23.3.595
34. MacDonald, S. W. S., Karlsson, S., Rieckmann, A., & Nyberg, L. (2012). Aging-related increases in behavioral variability: Relations to losses of dopamine D1 receptors. The Journal of Neuroscience, 32, 8186-8191. doi:10.1523/JNEUROSCI.5474-11.2012
35. MacDonald, S. W. S., Li, S.-C., & Bäckman, L. (2009). Neural underpinnings of within-person variability in cognitive functioning. Psychology and Aging, 24, 792-808. doi:10.1037/a0017798
36. Murtha, S., Cismaru, R., Waechter, R., & Chertkow, H. (2002). Increased variability accompanies frontal lobe damage in dementia. Journal of the International Neuropsychological Society, 8, 360-372. doi:10.1017/S1355617702813170
37. Rabbitt, P., Osman, P., Moore, B., & Stollery, B. (2001). There are stable individual differences in performance variability, both from moment to moment and from day to day. The Quarterly Journal of Experimental Psychology A: Human Experimental Psychology, 54, 981-1003.
38. Ratcliff, R., & McKoon, G. (2008). The diffusion decision model: Theory and data for two-choice decision tasks. Neural Computation, 20, 873-922. doi:10.1162/neco.2008.12-06-420
39. Reimers, S., & Maylor, E. A. (2006). Gender effects on reaction time variability and trial-to-trial performance: Reply to Deary and Der (2005). Aging, Neuropsychology, and Cognition, 13, 479-489. doi:10.1080/138255890969375
40. Salthouse, T. A. (2009). When does age-related cognitive decline begin? Neurobiology of Aging, 30, 507-514. doi:10.1016/j.neurobiolaging.2008.09.023
41. Sliwinski M., & Buschke, H. (1999). Cross-sectional and longitudinal relationships among age, cognition, and processing speed. Psychology and Aging, 14, 18-33. doi:10.1037/0882-7974.14.1.18
42. Strauss, E., Bielak, A. A. M., Bunce, D., Hunter, M. A., & Hultsch, D. F. (2007). Within-person variability in response speed as an indicator of mild cognitive impairment in older adults. Aging, Neuropsychology, and Cognition, 14, 608-630. doi:10.1080/13825580600932419
43. Stuss, D. T., Murphy, K. J., Binns, M. A., & Alexander, M. P. (2003). Staying on the job: The frontal lobes control individual performance variability. Brain, 126, 2363-2380. doi:10.1093/brain/awg237
44. Walhovd, K. B., & Fjell, A. M. (2007). White matter volume predicts reaction time instability. Neuropsychologia, 45, 2277-2284. doi: 10.1016/j.neuropsychologia.2007.02.022
45. West, R., Murphy, K. J., Armilio, M. L., Craik, F. I. M., & Stuss, D. T. (2002). Lapses of intention and performance variability reveal agerelated increases in fluctuations of executive control. Brain and Cognition, 49, 402-419. doi:10.1006/brcg.2001.1507
46. Whitehead, B. P., Dixon, R. A., Hultsch, D. F., & MacDonald, S. W. S. (2011). Are neurocognitive speed and inconsistency similarly affected in Type 2 diabetes. Journal of Clinical and Experimental Neuropsychology, 33, 647-657. doi:10.1080/13803395.2010.547845
47. Williams, B. R., Hultsch, D. F., Strauss, E. H., Hunter, M. A., & Tannock, R. (2005). Inconsistency in reaction time across the life span. Neuropsychology, 19, 88-96. doi:10.1037/0894-4105.19.1.88
48. Williams, B. R., Strauss, E. H., Hultsch, D. F., & Hunter, M. A. (2007). Reaction time inconsistency in a spatial Stroop task: Age-related differences through childhood and adulthood. Aging, Neuropsychology, and Cognition, 14, 417-439. doi:10.1080/13825580600584590