Time is a vehicle that can be used to represent aging-related processes and to index the amount of aging-related resources or burdens individuals have accumulated. Using data on cognitive (memory) performance from two Swedish studies of the elderly (OCTO and OCTO-TWIN), the authors illustrate how time-as-process and time-as-resources/burdens time metrics can be articulated and incorporated within a growth-curve modeling framework. Results highlight the possibilities for representing the contributions of primary, secondary, and tertiary aspects of aging to late-life changes in cognitive and other domains of functioning.
All Science Journal Classification (ASJC) codes
- Social Psychology
- Developmental and Educational Psychology