Literature DB >> 24705550

Further validation of the Internet-based Dementia Risk Assessment.

Jason Brandt1, Justin Blehar2, Allan Anderson3, Alden L Gross4.   

Abstract

Most approaches to the detection of presymptomatic or prodromal Alzheimer's disease require the costly collection and analysis of biological samples or neuroimaging measurements. The Dementia Risk Assessment (DRA) was developed to facilitate this detection by collecting self-report and proxy-report of dementia risk variables and episodic memory performance on a free Internet website. We now report two validation studies. In Study 1, 130 community-residing older adults seeking memory screening at senior health fairs were tested using the Mini-Cog, and were then observed while taking the DRA. They were compared to a demographically-matched subsample from our anonymous Internet sample. Participants seeking memory screening had more dementia risk factors and obtained lower scores on the DRA's recognition memory test (RMT) than their Internet controls. In addition, those who failed the Mini-Cog obtained much lower scores on the RMT than those who passed the Mini-Cog. In Study 2, 160 older adults seeking evaluation of cognitive difficulties took the DRA prior to diagnostic evaluations at outpatient dementia clinics. Patients who ultimately received the diagnosis of a dementia syndrome scored significantly lower on the RMT than those diagnosed with other conditions or deemed normal. Lower education, family history of dementia, presence of hypercholesterolemia and diabetes, and memory test score distinguished the dementia and no-dementia groups with around 82% accuracy. In addition, score on the RMT correlated highly with scores on other instruments widely used to detect cognitive decline. These findings support the concurrent validity of the DRA for detecting prevalent cognitive impairment. Prospective studies of cognitively normal persons who subsequently develop dementia will be necessary to establish its predictive validity.

Entities:  

Keywords:  Memory testing; neuropsychology; risk factors; screening

Mesh:

Year:  2014        PMID: 24705550     DOI: 10.3233/JAD-140297

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  2 in total

1.  Brief Report: Using the Internet to Identify Persons with Cognitive Impairment for Participation in Clinical Trials.

Authors:  Lindsay F Morra; Jason Brandt
Journal:  Brain Sci       Date:  2017-04-05

2.  Pre-appointment online assessment of patient complexity: Towards a personalized model of neuropsychological assessment.

Authors:  T A Zabel; L A Jacobson; A E Pritchard; E M Mahone; L Kalb
Journal:  Child Neuropsychol       Date:  2020-09-24       Impact factor: 2.500

  2 in total

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