Literature DB >> 30952608

Use of Actigraphy to Measure Symptoms of Agitation in Dementia.

Amber Knuff1, Roxanne H Leung2, Dallas P Seitz3, Luljeta Pallaveshi4, Amer M Burhan4.   

Abstract

OBJECTIVE: To evaluate the feasibility and validity of actigraphy as a measurement of agitation in dementia.
METHODS: Participants aged 65 and older, diagnosed with dementia, residing in a geriatric psychiatry inpatient unit or long-term care facility were included in a cross-sectional study. Agitation was assessed using the Cohen-Mansfield Agitation Inventory (CMAI) and the Neuropsychiatric Inventory (NPI). Actigraphy was measured over seven days and compared across groups categorized as low or high agitation based on a CMAI cutoff score of 50.
RESULTS: Twenty participants were enrolled (mean age = 74.3 years, standard deviation [SD] = 8.69). The 24-hour mean motor activity as measured with actigraphy was significantly different between the low and high agitation groups (180.23, SD = 86.34 versus 81.51, SD = 30.29, Z = 2.29; p = 0.02). Most actigraph variables had significant correlations with CMAI and NPI scores.
CONCLUSION: Actigraphy was highly correlated with informant-based methods for measuring agitation in individuals with dementia and actigraphy may be useful tool for measuring agitation.
Copyright © 2019 American Association for Geriatric Psychiatry. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Dementia; actigraphy; agitation; measurement; neuropsychiatric

Year:  2019        PMID: 30952608     DOI: 10.1016/j.jagp.2019.02.013

Source DB:  PubMed          Journal:  Am J Geriatr Psychiatry        ISSN: 1064-7481            Impact factor:   4.105


  5 in total

1.  Lower activity linkage between caregivers and persons with neurodegenerative diseases is associated with greater caregiver anxiety.

Authors:  Kuan-Hua Chen; James J Casey; Dyan E Connelly; Jennifer Merrilees; Chien-Ming Yang; Bruce L Miller; Robert W Levenson
Journal:  Psychophysiology       Date:  2022-03-22       Impact factor: 4.348

2.  A Pilot Study to Detect Agitation in People Living with Dementia Using Multi-Modal Sensors.

Authors:  S Spasojevic; J Nogas; A Iaboni; B Ye; A Mihailidis; A Wang; S J Li; L S Martin; K Newman; S S Khan
Journal:  J Healthc Inform Res       Date:  2021-05-01

3.  Wearable multimodal sensors for the detection of behavioral and psychological symptoms of dementia using personalized machine learning models.

Authors:  Andrea Iaboni; Sofija Spasojevic; Kristine Newman; Lori Schindel Martin; Angel Wang; Bing Ye; Alex Mihailidis; Shehroz S Khan
Journal:  Alzheimers Dement (Amst)       Date:  2022-04-27

Review 4.  Wrist accelerometry for monitoring dementia agitation behaviour in clinical settings: A scoping review.

Authors:  James Chung-Wai Cheung; Bryan Pak-Hei So; Ken Hok Man Ho; Duo Wai-Chi Wong; Alan Hiu-Fung Lam; Daphne Sze Ki Cheung
Journal:  Front Psychiatry       Date:  2022-09-16       Impact factor: 5.435

5.  Sensing a problem: Proof of concept for characterizing and predicting agitation.

Authors:  Wan-Tai M Au-Yeung; Lyndsey Miller; Zachary Beattie; Hiroko H Dodge; Christina Reynolds; Ipsit Vahia; Jeffrey Kaye
Journal:  Alzheimers Dement (N Y)       Date:  2020-08-24
  5 in total

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