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10.1016/j.jagp.2013.07.008 http://scihub22266oqcxt.onion/10.1016/j.jagp.2013.07.008 C3968245!3968245!24080384     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=24080384&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Am+J+Geriatr+Psychiatry 2014 ; 22 (11): 1364-74 Nephropedia Template TP {{tp|p=24080384|t=2014. Pre-clinical cognitive phenotypes for Alzheimer s disease: a latent profile approach |pdf=|usr=}}{{24080384}} gab.com Text Pre-clinical cognitive phenotypes for Alzheimer s disease: a latent profile approach JO: Am J Geriatr Psychiatry http://www.kidney.de/pget.php?&tw=1&pmid=24080384 #FOAvip Background: Cognitive profiles for pre-clinical Alzheimer's disease (AD) can be used to identify groups of individuals at risk for disease and better characterize pre-clinical disease. Profiles or patterns of performance as pre-clinical phenotypes may be more useful than individual test scores or measures of global decline. Objective(s): The aim of this work is to evaluate patterns of cognitive performance in cognitively normal individuals to derive latent profiles associated with later onset of disease using a combination of factor analysis and latent profile analysis. Methods: The National Alzheimer's Coordinating Centers collect data, including a battery of neuropsychological tests, from participants at 29 NIA funded Alzheimer's Disease Centers across the United States. Prior factor analyses of this battery demonstrated a four-factor structure comprising memory, attention, language, and executive function. Factor scores from these analyses were used in a latent profile approach to characterize cognition among a group of cognitively normal participants (n=3,911). Associations between latent profiles and disease outcomes an average of 3 years later were evaluated with multinomial regression models. Similar analyses were used to determine predictors of profile membership. Results: Four groups were identified; each with distinct characteristics and significantly associated with later disease outcomes. Two groups were significantly associated with development of cognitive impairment. In post-hoc analyses, both the Trail Making Test Part B, and a contrast score (Delayed Recall - Trails B), significantly predicted group membership and later cognitive impairment. Conclusions: Latent profile analysis is a useful method to evaluate patterns of cognition in large samples for the identification of preclinical AD phenotypes; however comparable results can be achieved with very sensitive tests and contrast scores. Twit Text FOAVip Pre-clinical cognitive phenotypes for Alzheimer s disease: a latent profile approach ????Am J Geriatr Psychiatry http://www.kidney.de/pget.php?&tw=1&pmid=24080384 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=24080384 #FOAvip English Wikipedia <ref>{{Cite pmid|24080384}}</ref> Pre-clinical cognitive phenotypes for Alzheimer s disease: a latent profile approach #MMPMID24080384 Hayden KM; Kuchibhatla M; Romero HR; Plassman BL; Burke JR; Browndyke JN; Welsh-Bohmer KA Am J Geriatr Psychiatry 2014[Nov]; 22 (11): 1364-74 PMID24080384show ga Background: Cognitive profiles for pre-clinical Alzheimer's disease (AD) can be used to identify groups of individuals at risk for disease and better characterize pre-clinical disease. Profiles or patterns of performance as pre-clinical phenotypes may be more useful than individual test scores or measures of global decline. Objective(s): The aim of this work is to evaluate patterns of cognitive performance in cognitively normal individuals to derive latent profiles associated with later onset of disease using a combination of factor analysis and latent profile analysis. Methods: The National Alzheimer's Coordinating Centers collect data, including a battery of neuropsychological tests, from participants at 29 NIA funded Alzheimer's Disease Centers across the United States. Prior factor analyses of this battery demonstrated a four-factor structure comprising memory, attention, language, and executive function. Factor scores from these analyses were used in a latent profile approach to characterize cognition among a group of cognitively normal participants (n=3,911). Associations between latent profiles and disease outcomes an average of 3 years later were evaluated with multinomial regression models. Similar analyses were used to determine predictors of profile membership. Results: Four groups were identified; each with distinct characteristics and significantly associated with later disease outcomes. Two groups were significantly associated with development of cognitive impairment. In post-hoc analyses, both the Trail Making Test Part B, and a contrast score (Delayed Recall - Trails B), significantly predicted group membership and later cognitive impairment. Conclusions: Latent profile analysis is a useful method to evaluate patterns of cognition in large samples for the identification of preclinical AD phenotypes; however comparable results can be achieved with very sensitive tests and contrast scores. äPre-clinical cognitive phenotypes for Alzheimer s disease: a latent pr(epmc).pdf DeepDyve Pubget Overpricing