Alghadir, Ahmad H. Gabr, Sami A. and Al-Eisa, Einas S. 2016. Effects of Moderate Aerobic Exercise on Cognitive Abilities and Redox State Biomarkers in Older Adults. Oxidative Medicine and Cellular Longevity, Vol. 2016, p. 1.
Bier, Nathalie Belchior, Patricia da Cunha Paquette, Guillaume Beauchemin, Émilie Lacasse-Champagne, Ariane Messier, Chantal Pellerin, Marie-Line Petit, Marisol Mioshi, Eneida and Bottari, Carolina 2016. The Instrumental Activity of Daily Living Profile in Aging: A Feasibility Study. Journal of Alzheimer's Disease, Vol. 52, Issue. 4, p. 1361.
Branson, Sandy Boss, Lisa Cron, Stanley and Kang, Duck-Hee 2016. Examining Differences between Homebound Older Adult Pet Owners and Non-pet Owners in Depression, Systemic Inflammation, and Executive Function. Anthrozoös, Vol. 29, Issue. 2, p. 323.
Classon, Elisabet Fällman, Katarina Wressle, Ewa Marcusson, Jan and Ginsberg, Stephen D 2016. Relations between Concurrent Longitudinal Changes in Cognition, Depressive Symptoms, Self-Rated Health and Everyday Function in Normally Aging Octogenarians. PLOS ONE, Vol. 11, Issue. 8, p. e0160742.
Díaz-Venegas, Carlos Reistetter, Timothy A. Wang, Ching-Yi and Wong, Rebeca 2016. The progression of disability among older adults in Mexico. Disability and Rehabilitation, Vol. 38, Issue. 20, p. 2016.
Li, Karl Laird, Angela R. Price, Larry R. McKay, D. Reese Blangero, John Glahn, David C. and Fox, Peter T. 2016. Progressive Bidirectional Age-Related Changes in Default Mode Network Effective Connectivity across Six Decades. Frontiers in Aging Neuroscience, Vol. 8,
Morris, John N. Howard, Elizabeth P. Steel, Knight Perlman, Christopher Fries, Brant E. Garms-Homolová, Vjenka Henrard, Jean-Claude Hirdes, John P. Ljunggren, Gunnar Gray, Len and Szczerbińska, Katarzyna 2016. Updating the Cognitive Performance Scale. Journal of Geriatric Psychiatry and Neurology, Vol. 29, Issue. 1, p. 47.
van der Leeuw, Guusje Eggermont, Laura H. P. Shi, Ling Milberg, William P. Gross, Alden L. Hausdorff, Jeffrey M. Bean, Jonathan F. and Leveille, Suzanne G. 2016. Pain and Cognitive Function Among Older Adults Living in the Community. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, Vol. 71, Issue. 3, p. 398.
Yaffe, Kristine Peltz, Carrie B. Ewing, Susan K. McCulloch, Charles E. Cummings, Steve R. Cauley, Jane A. Hillier, Teresa A. and Ensrud, Kristine E. 2016. Long-term Cognitive Trajectories and Mortality in Older Women. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, Vol. 71, Issue. 8, p. 1074.
Malcolm, Brenda R. Foxe, John J. Butler, John S. and De Sanctis, Pierfilippo 2015. The aging brain shows less flexible reallocation of cognitive resources during dual-task walking: A mobile brain/body imaging (MoBI) study. NeuroImage, Vol. 117, p. 230.
Miller, Ivy N. Himali, Jayandra J. Beiser, Alexa S. Murabito, Joanne M. Seshadri, Sudha Wolf, Philip A. and Au, Rhoda 2015. Normative Data for the Cognitively Intact Oldest-Old: The Framingham Heart Study. Experimental Aging Research, Vol. 41, Issue. 4, p. 386.
Palmer, Raymond F. and Royall, Donald R. 2015. Future Dementia Severity is Almost Entirely Explained by the Latent Variable δ’s Intercept and Slope. Journal of Alzheimer's Disease, Vol. 49, Issue. 2, p. 521.
Dhamoon, Mandip S. Moon, Yeseon Park Paik, Myunghee C. Sacco, Ralph L. and Elkind, Mitchell S.V. 2014. Diabetes predicts long-term disability in an elderly urban cohort: the Northern Manhattan Study. Annals of Epidemiology, Vol. 24, Issue. 5, p. 362.
Dixon, Roger A. and de Frias, Cindy M. 2014. Cognitively elite, cognitively normal, and cognitively impaired aging: Neurocognitive status and stability moderate memory performance. Journal of Clinical and Experimental Neuropsychology, Vol. 36, Issue. 4, p. 418.
Gawron, Natalia Łojek, Emilia Kijanowska-Haładyna, Beata Nestorowicz, Jakub Harasim, Andrzej Pluta, Agnieszka and Sobańska, Marta 2014. Cognitive Patterns of Normal Elderly Subjects Are Consistent With Frontal Cortico-Subcortical and Fronto-Parietal Neuropsychological Models of Brain Aging. Applied Neuropsychology: Adult, Vol. 21, Issue. 3, p. 195.
Royall, Donald R. and Palmer, Raymond F. 2014. â€œExecutive functionsâ€ cannot be distinguished from general intelligence: two variations on a single theme within a symphony of latent variance. Frontiers in Behavioral Neuroscience, Vol. 8,
Royall, Donald R. Palmer, Raymond F. Chiodo, Laura K. and Polk, Marsha J. 2014. Towards an Aging-Specific Cognitive Phenotype: The Freedom House Study. Experimental Aging Research, Vol. 40, Issue. 3, p. 245.
Royall, Donald R. and Palmer, Raymond F. 2014. Does ethnicity moderate dementia's biomarkers?. Neurobiology of Aging, Vol. 35, Issue. 2, p. 336.
Salazar, Ricardo Velez, Carlos E. and Royall, Donald R. 2014. Telephone Screening for Mild Cognitive Impairment in Hispanics Using the Alzheimer’s Questionnaire. Experimental Aging Research, Vol. 40, Issue. 2, p. 129.
Serrani Azcurra, D.J.L. 2013. Traducción al español y validación de una batería ejecutiva (BE25) y su versión abreviada (ABE12) para la detección de disfunción ejecutiva en demencias. Neurología, Vol. 28, Issue. 8, p. 457.
We determined the rates of cognitive change associated with twenty individual measures. Participants included 547 noninstitutionalized septuagenarians and octogenarian residents of a comprehensive care retirement community who were studied over three years. Latent growth curves (LGC) of multiple cognitive measures were compared to a LGC model of the rates of change in Activities of Daily Living (ADL) and Instrumental Activities of Daily Living (IADL). All curves were standardized relative to each variable's baseline distribution. Baseline scores were within their expected normal age-specific ranges. Most measures showed significant rates of change over time. There was also significant variability about those rates, suggesting clinical heterogeneity. Many deteriorated over time, as did ADLs and IADLs. However, performance on some measures improved, consistent with learning effects. The rates of change in two measures, the Executive Interview and the Trail Making Test, were closely related to decline in IADLs. These results suggest that age-related cognitive decline is a dynamic longitudinal process affecting multiple cognitive domains. Heterogeneity in the rates of cognitive change may reflect the summed effects of age and comorbid conditions affecting cognition. Some measures may be ill-suited for measuring age-related changes in cognition, either because they are insensitive to change, or hindered by learning effects. Nonverbal measures appear to be particularly well suited for the prediction of age-related functional decline. These observations are relevant to the definition and diagnosis of “dementing” conditions. (JINS, 2005, 11, 899–909.)
This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.
Email your librarian or administrator to recommend adding this journal to your organisation's collection.
Full text views reflects the number of PDF downloads, PDFs sent to Google Drive, Dropbox and Kindle and HTML full text views.
Abstract views reflect the number of visits to the article landing page.
* Views captured on Cambridge Core between September 2016 - 29th May 2017. This data will be updated every 24 hours.