title: Predicting episodic memory performance of very old men and women: contributions from age, depression, activity, cognitive ability, and speed.
abstract: Regression models were developed to explain age-related and total variance in memory and to determine the independent contribution from general processing speed, having taken into account cognitive and noncognitive individual differences. Episodic memory was assessed for 3 tasks in a population-based sample of 951 adults comprising 515 men and 436 women (aged 70-96, M = 77.6, SD = 5.5). Correlations between age and memory accounted for 6%-9% of the variance. Hierarchical multiple regressions showed a reduction in this age-related variance by up to 94%, after entering gender, depression, health, cognitive status, activities, and speed. General processing speed was the major mediator of age-related variance in memory. Although both the age-related variance and the speed-related variance in memory were significantly reduced by prior entry of other individual differences variables for all 3 tasks, speed remained a significant mediator of remembering, and negligible differences in the residual age-related variance were observed by inclusion of other background variables.
authors.affiliation: School of Psychology, Flinders University of South Australia, Adelaide, Australia. mary.luszcz@flinders.edu.au
authors.forename: M A
authors.initials: MA
authors.lastname: Luszcz
authors.forename: J
authors.initials: J
authors.lastname: Bryan
authors.forename: P
authors.initials: P
authors.lastname: Kent
mesh_terms: D000203:Activities of Daily Living; D000368:Aged; D000369:Aged, 80 and over; D000375:Aging / Q000523:psychology*; D003071:Cognition; D003863:Depression; D005260:Female; D005544:Forecasting; D006801:Humans; D008297:Male; D008568:Memory; D012044:Regression Analysis