Reas, Emilie T. Laughlin, Gail A. Bergstrom, Jaclyn Kritz-Silverstein, Donna Barrett-Connor, Elizabeth and McEvoy, Linda K. 2017. Effects of Sex and Education on Cognitive Change Over a 27-Year Period in Older Adults: The Rancho Bernardo Study. The American Journal of Geriatric Psychiatry, Vol. 25, Issue. 8, p. 889.
Vásquez, Elizabeth Strizich, Garrett Isasi, Carmen R. Echeverria, Sandra E. Sotres-Alvarez, Daniela Evenson, Kelly R. Gellman, Marc D. Palta, Priya Qi, Qibin Lamar, Melissa Tarraf, Wassim González, Hector M. and Kaplan, Robert 2017. Is there a relationship between accelerometer-assessed physical activity and sedentary behavior and cognitive function in US Hispanic/Latino adults? The Hispanic Community Health Study/Study of Latinos (HCHS/SOL). Preventive Medicine, Vol. 103, p. 43.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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,
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.
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.)
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