Variability in medication taking is associated with cognitive performance in nondemented older adults

Johanna Austin, Krystal Klein, Nora Mattek, Jeffrey Kaye

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Interventions to slow cognitive decline typically can do little to reverse decline. Thus, early detection methods are critical. However, tools like cognitive testing are time consuming and require costly expertise. Changes in activities of daily living such as medication adherence may herald the onset of cognitive decline before clinical standards. Here, we determine the relationship between medication adherence and cognitive function in preclinical older adults. We objectively assessed medication adherence in 38 older adults (mean age 86.7 ± 6.9 years). Our results demonstrate that individuals with lower cognitive function have more spread in the timing of taking their medications (P = .014) and increase the spread in the timing of taking their medications over time (P = .012). These results demonstrate that continuous monitoring of medication adherence may provide the opportunity to identify patients experiencing slow cognitive decline in the earliest stages when pharmacologic or behavioral interventions may be most effective.

Original languageEnglish (US)
Pages (from-to)210-213
Number of pages4
JournalAlzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring
Volume6
DOIs
StatePublished - 2017

Fingerprint

Medication Adherence
Cognition
Activities of Daily Living
Cognitive Dysfunction

Keywords

  • Cognitive function
  • Continuous monitoring
  • Medication adherence
  • Older adults
  • Smart home

ASJC Scopus subject areas

  • Clinical Neurology
  • Psychiatry and Mental health

Cite this

Variability in medication taking is associated with cognitive performance in nondemented older adults. / Austin, Johanna; Klein, Krystal; Mattek, Nora; Kaye, Jeffrey.

In: Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring, Vol. 6, 2017, p. 210-213.

Research output: Contribution to journalArticle

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