Age Changes in Processing Speed as a Leading Indicator of Cognitive Aging

Department of Psychology, Indiana University Southeast, 5201 Grant Line Road, New Albany, IN 47150, USA.
Psychology and Aging (Impact Factor: 2.73). 10/2007; 22(3):558-68. DOI: 10.1037/0882-7974.22.3.558
Source: PubMed


Bivariate dual change score models were applied to longitudinal data from the Swedish Adoption/Twin Study of Aging to compare the dynamic predictions of 2-component theories of intelligence and the processing speed theory of cognitive aging. Data from up to 5 measurement occasions covering a 16-year period were available from 806 participants ranging in age from 50 to 88 years at the first measurement wave. Factors were generated to tap 4 general cognitive domains: verbal ability, spatial ability, memory, and processing speed. Model fitting indicated no dynamic relationship between verbal and spatial factors, providing no support for the hypothesis that age changes in fluid abilities drive age changes in crystallized abilities. The results suggest that, as predicted by the processing speed theory of cognitive aging, processing speed is a leading indicator of age changes in memory and spatial ability, but not verbal ability.

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    • "The inclusion of extraneous frequency components into the target signal would then lead to concomitant errors in perception. The greater age-related difference for short compared to long duration sounds may be related to a general slowing for processing acoustic information (Finkel et al., 2007; Salthouse, 1996), which could cause a broadening of the temporal integration window. In the present context, the temporal integration window of an auditory evoked response is defined as the minimal stimulus duration that produces maximal amplitude. "
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    • "Relationships between components of intelligence during typical aging were studied longitudinally over 16 years in 806 participants, ranging in age from 50 to 88 years (Finkel et al. 2007 ). The researchers evaluated how verbal abilities, spatial abilities, memory, and processing speed interacted and one variable impacted change in a related variable. "
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    Community Mental Health Journal 06/2014; 51(3). DOI:10.1007/s10597-014-9743-6 · 1.03 Impact Factor
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    • "In addition, there is evidence of differences in the ability to switch between tasks [44] which could be an important determinant of takeover quality too. Tests for these constructs [13] [34] [83] could be used to remove bias in the data. "
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