scholarly journals Cognitive Aging Research: An Exciting Time for a Maturing Field

2009 ◽  
Vol 19 (4) ◽  
pp. 523-525 ◽  
Author(s):  
Molly V. Wagster
1996 ◽  
Vol 22 (2) ◽  
pp. 169-181 ◽  
Author(s):  
Skip Twitchell ◽  
Katie E. Cherry ◽  
James W. Trott

1988 ◽  
Vol 3 (1) ◽  
pp. 29-37 ◽  
Author(s):  
Timothy A. Salthouse ◽  
Donald H. Kausler ◽  
J. Scott Saults

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Sophie von Stumm

In cognitive aging research, the “engagement hypothesis” suggests that the participation in cognitively demanding activities helps maintain better cognitive performance in later life. In differential psychology, the “investment” theory proclaims that age differences in cognition are influenced by personality traits that determine when, where, and how people invest their ability. Although both models follow similar theoretical rationales, they differ in their emphasis of behavior (i.e., activity engagement) versus predisposition (i.e., investment trait). The current study compared a cognitive activity engagement scale (i.e., frequency of participation) with an investment trait scale (i.e., need for cognition) and tested their relationship with age differences in cognition in 200 British adults. Age was negatively associated with fluid and positively with crystallized ability but had no relationship with need for cognition and activity engagement. Need for cognition was positively related to activity engagement and cognitive performance; activity engagement, however, was not associated with cognitive ability. Thus, age differences in cognitive ability were largely independent of engagement and investment.


Author(s):  
Gabriel K. Rousseau ◽  
Nina Lamson ◽  
Wendy A. Rogers

A variety of individual difference variables affect whether someone notices, encodes, comprehends, and complies with a product warning label. Failures at any of these stages reduce the effectiveness of warnings. Development of effective warnings must be based on understanding the characteristics of the product user. As the population grows older, consideration of age-related changes in perceptual and cognitive abilities becomes more relevant to the warning designer. Aging researchers have identified a variety of declines and changes in vision (e.g., acuity, contrast sensitivity, and color discrimination) and memory (e.g., working memory and prospective memory). By considering the abilities of the product user, the impact of age-related changes may be minimized. Based on cognitive aging research and theory, we will make recommendations about how designers can increase the effectiveness of warnings for older adults.


2018 ◽  
Vol 2 (suppl_1) ◽  
pp. 382-382
Author(s):  
G Hueluer ◽  
H Dodge

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