| Chapter title |
Successful Cognitive Aging.
|
|---|---|
| Chapter number | 158 |
| Book title |
Behavioral Neurobiology of Aging
|
| Published in |
Current topics in behavioral neurosciences, January 2012
|
| DOI | 10.1007/7854_2011_158 |
| Pubmed ID | |
| Book ISBNs |
978-3-64-223874-1, 978-3-64-223875-8
|
| Authors |
Depp CA, Harmell A, Vahia IV, Colin A. Depp, Alexandria Harmell, Ipsit V. Vahia |
| Editors |
Marie-Christine Pardon, Mark W. Bondi |
| Abstract |
Given the rapid rate of population aging, basic science and public health efforts have increasingly focused on the determinants of successful cognitive aging. In this chapter, we review the definition and biological, psychological, and environmental determinants of cognitive health in later life. Successful cognitive aging is a multi-dimensional construct that lacks a consensus operationalized definition, and has been variously conceptualized in an ipsative, normative, or criterion-referenced manner. Nevertheless, there are a number of biomarkers, at the genetic and cellular level, that provide indicators of cognitive health in aging. Functional and structural neuroimaging suggest multiple pathways to successful cognitive aging, by way of brain reserve and cognitive reserve. A number of behavioral and environmental interventions, including dietary restriction, physical activity, and cognitive stimulation, are promising avenues for extending the cognitive healthspan associated with normal aging. Thus, there is a variety of recent findings providing optimism that successful cognitive aging, howsoever defined, will be attainable by more older adults in the future. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 1 | <1% |
| Netherlands | 1 | <1% |
| Austria | 1 | <1% |
| Brazil | 1 | <1% |
| India | 1 | <1% |
| Taiwan | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 129 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 16% |
| Researcher | 18 | 13% |
| Student > Master | 13 | 10% |
| Student > Doctoral Student | 12 | 9% |
| Professor > Associate Professor | 8 | 6% |
| Other | 25 | 18% |
| Unknown | 38 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 25 | 18% |
| Medicine and Dentistry | 21 | 15% |
| Neuroscience | 18 | 13% |
| Social Sciences | 6 | 4% |
| Agricultural and Biological Sciences | 5 | 4% |
| Other | 17 | 13% |
| Unknown | 44 | 32% |