In the Victoria Longitudinal Study (VLS), we conduct a series of studies pertaining to the description and explanation of aging-related changes in memory performance. The research derives from the perspective that the magnitude of late-life changes in memory performance may depend substantially on individual differences in underlying information processing and intellectual ability components. Aging-related declines may be greater for some individuals than others, and be associated more with some memory tasks than others. The VLS is also designed to examine three potential mediators of differential change in memory aging: (a) general health, specific disease processes, sensory functioning, and physical characteristics, (b) everyday activities and life style characteristics, and (c) beliefs about memory aging, awareness, and memory self-efficacy. The VLS is designed as a longitudinal sequential study. Three independent samples are recruited at six-year internals. Each sample is tested at three-year intervals. To date, Sample 1 has been tested four times over nine years (1986, n=484; 1989, n=333; 1992, n=250; 1995, n=177). The fifth wave occurs in 1998 (expected n=130). Sample 2 has been tested twice over three years (1993, n=530; 1996, n=405). The present proposal is for the sixth testing of Sample 1 (expected n=97), the third testing of Sample 2 (expected n=303), and the first testing of Sample 3 (expected n=550). Approximately 10 hours of data are collected per participant at each occasion. The test battery includes six categories of variables: (a) memory, (b) information processing components, (c) psychometric abilities, (d) metacognitive and awareness measures, (e) personality, lifestyle activity indicators, and (f) physical health and sensory measures. In sum, the proposed research is designed to examine (a) the extent and trajectories of aging-related changes in a variety of memory phenomena, (b) the extent to which these changes result from a pattern of differential decline of processing components and abilities, and (c) the extent to which patterns of memory aging are influenced by physical health, activity life style, and personal belief variables.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Project (R01)
Project #
5R01AG008235-10
Application #
6168058
Study Section
Human Development and Aging Subcommittee 3 (HUD)
Program Officer
Elias, Jeffrey W
Project Start
1989-08-01
Project End
2002-03-31
Budget Start
2000-04-01
Budget End
2001-03-31
Support Year
10
Fiscal Year
2000
Total Cost
$233,737
Indirect Cost
Name
University of Victoria
Department
Type
DUNS #
209567957
City
Victoria
State
BC
Country
Canada
Zip Code
V8 5-C2
MacDonald, Stuart W S; Keller, Connor J C; Brewster, Paul W H et al. (2018) Contrasting olfaction, vision, and audition as predictors of cognitive change and impairment in non-demented older adults. Neuropsychology 32:450-460
Sapkota, Shraddha; Dixon, Roger A (2018) A Network of Genetic Effects on Non-Demented Cognitive Aging: Alzheimer's Genetic Risk (CLU + CR1?+?PICALM) Intensifies Cognitive Aging Genetic Risk (COMT + BDNF) Selectively for APOE?4 Carriers. J Alzheimers Dis 62:887-900
MacDonald, Stuart W S; Hundza, Sandra; Love, Janet A et al. (2017) Concurrent Indicators of Gait Velocity and Variability Are Associated with 25-Year Cognitive Change: A Retrospective Longitudinal Investigation. Front Aging Neurosci 9:17
Harris, Celia B; Barnier, Amanda J; Sutton, John et al. (2017) ""Going episodic"": collaborative inhibition and facilitation when long-married couples remember together. Memory 25:1148-1159
Han, Wei; Sapkota, Shraddha; Camicioli, Richard et al. (2017) Profiling novel metabolic biomarkers for Parkinson's disease using in-depth metabolomic analysis. Mov Disord 32:1720-1728
McDermott, Kirstie L; McFall, G Peggy; Andrews, Shea J et al. (2017) Memory Resilience to Alzheimer's Genetic Risk: Sex Effects in Predictor Profiles. J Gerontol B Psychol Sci Soc Sci 72:937-946
Sapkota, Shraddha; Bäckman, Lars; Dixon, Roger A (2017) Executive function performance and change in aging is predicted by apolipoprotein E, intensified by catechol-O-methyltransferase and brain-derived neurotrophic factor, and moderated by age and lifestyle. Neurobiol Aging 52:81-89
Brown, Cassandra L; Robitaille, Annie; Zelinski, Elizabeth M et al. (2016) Cognitive activity mediates the association between social activity and cognitive performance: A longitudinal study. Psychol Aging 31:831-846
DeCarlo, Correne A; MacDonald, Stuart W S; Vergote, David et al. (2016) Vascular Health and Genetic Risk Affect Mild Cognitive Impairment Status and 4-Year Stability: Evidence From the Victoria Longitudinal Study. J Gerontol B Psychol Sci Soc Sci 71:1004-1014
Sapkota, Shraddha; Wiebe, Sandra A; Small, Brent J et al. (2016) Apolipoprotein E and Clusterin can magnify effects of personality vulnerability on declarative memory performance in non-demented older adults. Int J Geriatr Psychiatry 31:502-9

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