title: Assessment of cognition using surveys and neuropsychological assessment: the Health and Retirement Study and the Aging, Demographics, and Memory Study.
abstract: OBJECTIVE
  This study examines the similarity of cognitive assessments using 1 interview in a large population study, the Health and Retirement Study (HRS), and a subsample in which a detailed neuropsychiatric assessment has been performed (Aging, Demographics, and Memory Study [ADAMS]).
  
  
  METHODS
  Respondents are diagnosed in ADAMS as demented, cognitively impaired without dementia (CIND), or as having normal cognitive function. Multinomial logistic analysis is used to predict diagnosis using a variety of cognitive and noncognitive measures from the HRS and additional measures and information from ADAMS.
  
  
  RESULTS
  The cognitive tests in HRS predict the ADAMS diagnosis in 74% of the sample able to complete the HRS survey on their own. Proxy respondents answer for a large proportion of HRS respondents who are diagnosed as demented in ADAMS. Classification of proxy respondents with some cognitive impairment can be predicted in 86% of the sample. Adding a small number of additional tests from ADAMS can increase each of these percentages to 84% and 93%, respectively.
  
  
  CONCLUSIONS
  Cognitive assessment appropriate for diagnosis of dementia and CIND in large population surveys could be improved with more targeted information from informants and additional cognitive tests targeting other areas of brain function.
authors: Andrus Gerontology Center, University of Southern California, Los Angeles, CA 90089-0191, USA. crimmin@usc.edu
authors: Eileen M
authors: EM
authors: Crimmins
authors: Jung Ki
authors: JK
authors: Kim
authors: Kenneth M
authors: KM
authors: Langa
authors: David R
authors: DR
authors: Weir
mesh_terms: D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D003071:Cognition; D003072:Cognition Disorders / Q000175:diagnosis* / Q000453:epidemiology / Q000523:psychology; D003704:Dementia / Q000175:diagnosis* / Q000453:epidemiology / Q000523:psychology; D004522:Educational Status; D005260:Female; D006801:Humans; D007407:Interviews as Topic; D016015:Logistic Models; D008137:Longitudinal Studies; D008297:Male; D015999:Multivariate Analysis; D009483:Neuropsychological Tests; D016017:Odds Ratio; D015995:Prevalence; D012737:Sex Factors; D014481:United States / Q000453:epidemiology