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Home > Reliability and Validity of a Novel Internet-Based Battery to Assess Mood and Cognitive Function in the Elderly.

TitleReliability and Validity of a Novel Internet-Based Battery to Assess Mood and Cognitive Function in the Elderly.
Publication TypeJournal Article
Year of Publication2016
AuthorsMyers, CA, Keller, JN, H Allen, R, Brouillette, RM, Foil, H, Davis, AB, Greenway, FL, Johnson, WD, Martin, CK
JournalJ Alzheimers Dis
Volume54
Issue4
Pagination1359-1364
Date Published2016 Oct 18
ISSN1875-8908
Abstract

Dementia is a chronic condition in the elderly and depression is often a concurrent symptom. As populations continue to age, accessible and useful tools to screen for cognitive function and its associated symptoms in elderly populations are needed. The aim of this study was to test the reliability and validity of a new internet-based assessment battery for screening mood and cognitive function in an elderly population. Specifically, the Helping Hand Technology (HHT) assessments for depression (HHT-D) and global cognitive function (HHT-G) were evaluated in a sample of 57 elderly participants (22 male, 35 female) aged 59-85 years. The study sample was categorized into three groups: 1) dementia (n = 8; Mini-Mental State Exam (MMSE) score 10-24), 2) mild cognitive impairment (n = 24; MMSE score 25-28), and 3) control (n = 25; MMSE score 29-30). Test-retest reliability (Pearson correlation coefficient, r) and internal consistency reliability (Cronbach's alpha, α) of the HHT-D and HHT-G were assessed. Validity of the HHT-D and HHT-G was tested via comparison (Pearson r) to commonly used pencil-and-paper based assessments: HHT-D versus the Geriatric Depression Scale (GDS) and HHT-G versus the MMSE. Good test-retest (r = 0.80; p 

DOI10.3233/JAD-160441
Alternate JournalJ. Alzheimers Dis.
PubMed ID27589529
PubMed Central IDPMC5175476
Grant ListF32 HL123242 / HL / NHLBI NIH HHS / United States
U54 GM104940 / GM / NIGMS NIH HHS / United States
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Source URL: https://www.j-alz.com/content/reliability-and-validity-novel-internet-based-battery-assess-mood-and%C2%A0cognitive-function