Literature DB >> 33538492

Subtle Changes in Medication-taking Are Associated With Incident Mild Cognitive Impairment.

Katherine E Dorociak1, Nora Mattek2,3, John E Ferguson4,5, Zachary T Beattie2,3, Nicole Sharma2,3, Jeffrey A Kaye2,3, Mira I Leese4, Bridget M Doane4, Adriana M Hughes2,3,4,6.   

Abstract

INTRODUCTION: Medication-taking is a routine instrumental activity of daily living affected by mild cognitive impairment (MCI) but difficult to measure with clinical tools. This prospective longitudinal study examined in-home medication-taking and transition from normative aging to MCI.
METHODS: Daily, weekly, and monthly medication-taking metrics derived from an instrumented pillbox were examined in 64 healthy cognitively intact older adults (Mage=85.5 y) followed for a mean of 2.3 years; 9 transitioned to MCI during study follow-up.
RESULTS: In the time up to and after MCI diagnosis, incident MCI participants opened their pillbox later in the day (by 19 min/mo; β=0.46, P<0.001) and had increased day-to-day variability in the first pillbox opening over time (by 4 min/mo) as compared with stable cognitively intact participants (β=4.0, P=0.003). DISCUSSION: Individuals who transitioned to MCI opened their pillboxes later in the day and were more variable in their medication-taking habits. These differences increased in the time up to and after diagnosis of MCI. Unobtrusive medication-taking monitoring is an ecologically valid approach for identifying early activity of daily living changes that signal transition to MCI.
Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.

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Year:  2021        PMID: 33538492      PMCID: PMC8329129          DOI: 10.1097/WAD.0000000000000439

Source DB:  PubMed          Journal:  Alzheimer Dis Assoc Disord        ISSN: 0893-0341            Impact factor:   2.703


  39 in total

Review 1.  Treatment adherence in chronic disease.

Authors:  J Dunbar-Jacob; M K Mortimer-Stephens
Journal:  J Clin Epidemiol       Date:  2001-12       Impact factor: 6.437

2.  Big Data Analytical Approaches to the NACC Dataset: Aiding Preclinical Trial Enrichment.

Authors:  Ming Lin; Pinghua Gong; Tao Yang; Jieping Ye; Roger L Albin; Hiroko H Dodge
Journal:  Alzheimer Dis Assoc Disord       Date:  2018 Jan-Mar       Impact factor: 2.703

3.  The measuring, meaning and importance of activities of daily living (ADLs) as an outcome.

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Journal:  Int Psychogeriatr       Date:  2007-03-15       Impact factor: 3.878

4.  Unobtrusive measurement of daily computer use to detect mild cognitive impairment.

Authors:  Jeffrey Kaye; Nora Mattek; Hiroko H Dodge; Ian Campbell; Tamara Hayes; Daniel Austin; William Hatt; Katherine Wild; Holly Jimison; Michael Pavel
Journal:  Alzheimers Dement       Date:  2013-05-18       Impact factor: 21.566

5.  The impact of cognitive function on medication management: three studies.

Authors:  Carol S Stilley; Catherine M Bender; Jacqueline Dunbar-Jacob; Susan Sereika; Christopher M Ryan
Journal:  Health Psychol       Date:  2010-01       Impact factor: 4.267

6.  Weekly observations of online survey metadata obtained through home computer use allow for detection of changes in everyday cognition before transition to mild cognitive impairment.

Authors:  Adriana Seelye; Nora Mattek; Nicole Sharma; Thomas Riley; Johanna Austin; Katherine Wild; Hiroko H Dodge; Emily Lore; Jeffrey Kaye
Journal:  Alzheimers Dement       Date:  2017-10-26       Impact factor: 21.566

7.  A new rating scale for Alzheimer's disease.

Authors:  W G Rosen; R C Mohs; K L Davis
Journal:  Am J Psychiatry       Date:  1984-11       Impact factor: 18.112

8.  Characterizing multiple memory deficits and their relation to everyday functioning in individuals with mild cognitive impairment.

Authors:  Maureen Schmitter-Edgecombe; Ellen Woo; David R Greeley
Journal:  Neuropsychology       Date:  2009-03       Impact factor: 3.295

9.  Time Out-of-Home and Cognitive, Physical, and Emotional Wellbeing of Older Adults: A Longitudinal Mixed Effects Model.

Authors:  Johanna Petersen; Daniel Austin; Nora Mattek; Jeffrey Kaye
Journal:  PLoS One       Date:  2015-10-05       Impact factor: 3.240

10.  Use of High-Frequency In-Home Monitoring Data May Reduce Sample Sizes Needed in Clinical Trials.

Authors:  Hiroko H Dodge; Jian Zhu; Nora C Mattek; Daniel Austin; Judith Kornfeld; Jeffrey A Kaye
Journal:  PLoS One       Date:  2015-09-17       Impact factor: 3.240

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