Literature DB >> 9375219

Detection of dementia of the Alzheimer type in a population-based sample: neuropsychological test performance.

D A Cahn1, D P Salmon, N Butters, W C Wiederholt, J Corey-Bloom, S L Edelstein, E Barrett-Connor.   

Abstract

The ability to detect dementia of the Alzheimer type (DAT) in a community-dwelling sample of elderly individuals on the basis of neuropsychological test performance was examined. Three hundred sixty community-dwelling individuals were identified by neurological examination as having probable or possible Alzheimer's disease, being at risk for Alzheimer's disease, or having no cognitive impairment. A logistic model comprised of tests of verbal and nonverbal memory, mental flexibility, and confrontation naming correctly classified 82% of DAT subjects and 98% of normal elderly subjects. The logistic model classified 77% of subjects who were diagnosed as at risk for Alzheimer's disease as being cognitively normal. A cross-validation with a clinically based sample of subjects correctly classified 89% of DAT patients and 100% of normal control subjects. The results suggest that psychometric discrimination of dementia may be less accurate in community-dwelling populations than in clinically based samples.

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Year:  1995        PMID: 9375219     DOI: 10.1017/s1355617700000242

Source DB:  PubMed          Journal:  J Int Neuropsychol Soc        ISSN: 1355-6177            Impact factor:   2.892


  10 in total

1.  Association between mild anemia and executive function impairment in community-dwelling older women: The Women's Health and Aging Study II.

Authors:  Paulo H M Chaves; Michelle C Carlson; Luigi Ferrucci; Jack M Guralnik; Richard Semba; Linda P Fried
Journal:  J Am Geriatr Soc       Date:  2006-09       Impact factor: 5.562

2.  Extending neuropsychological assessments into the primary mental ability space.

Authors:  K Warner Schaie; Grace I L Caskie; Andrew J Revell; Sherry L Willis; Alfred W Kaszniak; Linda Teri
Journal:  Neuropsychol Dev Cogn B Aging Neuropsychol Cogn       Date:  2005-09

3.  Validation of a self-administered computerized system to detect cognitive impairment in older adults.

Authors:  Samuel D Brinkman; Robert J Reese; Larry A Norsworthy; Donna K Dellaria; Jacob W Kinkade; Jared Benge; Kimberly Brown; Anna Ratka; James W Simpkins
Journal:  J Appl Gerontol       Date:  2012-09-18

4.  Diagnostic Accuracy of Memory Measures in Alzheimer's Dementia and Mild Cognitive Impairment: a Systematic Review and Meta-Analysis.

Authors:  Gali H Weissberger; Jessica V Strong; Kayla B Stefanidis; Mathew J Summers; Mark W Bondi; Nikki H Stricker
Journal:  Neuropsychol Rev       Date:  2017-09-22       Impact factor: 7.444

5.  Sitting or Walking? Analyzing the Neural Emotional Indicators of Urban Green Space Behavior with Mobile EEG.

Authors:  Wei Lin; Qibing Chen; Mingyan Jiang; Jinying Tao; Zongfang Liu; Xiaoxia Zhang; Linjia Wu; Shan Xu; Yushan Kang; Qiuyuan Zeng
Journal:  J Urban Health       Date:  2020-04       Impact factor: 3.671

Review 6.  Differential diagnosis of the major progressive dementias and depression in middle and late adulthood: a summary of the literature of the early 1990s.

Authors:  L D Rosenstein
Journal:  Neuropsychol Rev       Date:  1998-09       Impact factor: 7.444

7.  A randomized controlled feasibility study to evaluate the effects of a goal-setting coaching intervention using feedback from an accelerometer on sedentary time in older people at risk of falls (SMART-MOVE): a study protocol.

Authors:  Kareeann Sok-Fun Khow; Joanne Dollard; Kathy Bray; Carla Smyth; Mellick Chehade; Olga Theou; Renuka Visvanathan
Journal:  Pilot Feasibility Stud       Date:  2018-11-17

8.  Transcranial direct current stimulation (tDCS) in elderly with mild cognitive impairment: A pilot study.

Authors:  Marcos Alvinair Gomes; Henrique Teruo Akiba; July Silveira Gomes; Alisson Paulino Trevizol; Acioly Luiz Tavares de Lacerda; Álvaro Machado Dias
Journal:  Dement Neuropsychol       Date:  2019 Apr-Jun

9.  Free Fatty Acids Are Associated with the Cognitive Functions in Stroke Survivors.

Authors:  Dariusz Kotlęga; Barbara Peda; Joanna Palma; Agnieszka Zembroń-Łacny; Monika Gołąb-Janowska; Marta Masztalewicz; Przemysław Nowacki; Małgorzata Szczuko
Journal:  Int J Environ Res Public Health       Date:  2021-06-16       Impact factor: 3.390

10.  Neuropsychological test selection for cognitive impairment classification: A machine learning approach.

Authors:  Alyssa Weakley; Jennifer A Williams; Maureen Schmitter-Edgecombe; Diane J Cook
Journal:  J Clin Exp Neuropsychol       Date:  2015       Impact factor: 2.475

  10 in total

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