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PMID: 9189994 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Predicting episodic memory performance of very old men and women: contributions from age, depression, activity, cognitive ability, and speed.

Psychology and aging ·Vol. 12 ·No. 2 ·1997-06-00 ·Pages 340-51

Luszcz MA, Bryan J, Kent P

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.

MeSH Terms
Activities of Daily Living Aged Aged, 80 and over Aging/psychology Cognition Depression Female Forecasting Humans Male Memory Regression Analysis
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Luszcz M A
School of Psychology, Flinders University of South Australia, Adelaide, Australia. [email protected]
Bryan J
Kent P
Article Info
Journal
Psychology and aging
Abbr.
Psychol Aging
ISSN
0882-7974
Published
1997-06-00
Pages
340-51
Language
English
Region
United States
NLM ID
8904079
Subset
IM
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