Literature DB >> 12708223

Biomechanical activity devices to index wandering behavior in dementia.

Donna L Algase1, Elizabeth R A Beattie, Sara A Leitsch, Cynthia A Beel-Bates.   

Abstract

Valid and reliable measures of wandering are needed to study this troubling behavior. Although researchers have used various perspectives, definitions, and approaches to study wandering, spontaneous ambulation is a key characteristic across all views. Biomechanical activity devices for capturing movement provide one way to index wandering. This study examined four devices with ambulatory nursing home residents with dementia (N = 178) who wore devices simultaneously during four observations. Among the Actillume, StepWatch, Step Sensor, and TriTrac-R3D, the StepWatch yielded data from the highest proportion of observations, explained the most variance (63.9 percent) among all instruments, and was acceptable to nursing staff. Although the Step Sensor was the staff's preferred device, its performance was least acceptable for research purposes. Results support use of the StepWatch in future studies of wandering.

Entities:  

Mesh:

Year:  2003        PMID: 12708223     DOI: 10.1177/153331750301800202

Source DB:  PubMed          Journal:  Am J Alzheimers Dis Other Demen        ISSN: 1533-3175            Impact factor:   2.035


  12 in total

Review 1.  Aging society and gerontechnology: a solution for an independent living?

Authors:  A Piau; E Campo; P Rumeau; B Vellas; F Nourhashémi
Journal:  J Nutr Health Aging       Date:  2014-01       Impact factor: 4.075

2.  Low-intensity walking activity is associated with better health.

Authors:  Vijay R Varma; Erwin J Tan; Tao Wang; Qian-Li Xue; Linda P Fried; Christopher L Seplaki; Abby C King; Teresa E Seeman; George W Rebok; Michelle C Carlson
Journal:  J Appl Gerontol       Date:  2013-12-11

3.  Filtering for productive activity changes outcomes in step-based monitoring among children.

Authors:  Michael Wininger; Kristie Bjornson
Journal:  Physiol Meas       Date:  2016-11-24       Impact factor: 2.833

Review 4.  Best practices for using physical activity monitors in population-based research.

Authors:  Charles E Matthews; Maria Hagströmer; David M Pober; Heather R Bowles
Journal:  Med Sci Sports Exerc       Date:  2012-01       Impact factor: 5.411

5.  Low-intensity daily walking activity is associated with hippocampal volume in older adults.

Authors:  Vijay R Varma; Yi-Fang Chuang; Gregory C Harris; Erwin J Tan; Michelle C Carlson
Journal:  Hippocampus       Date:  2014-12-26       Impact factor: 3.899

6.  Using Wavelet-Based Functional Mixed Models to Characterize Population Heterogeneity in Accelerometer Profiles: A Case Study.

Authors:  Jeffrey S Morris; Cassandra Arroyo; Brent A Coull; Louise M Ryan; Richard Herrick; Steven L Gortmaker
Journal:  J Am Stat Assoc       Date:  2006-12-01       Impact factor: 5.033

7.  Utilizing a Wristband Sensor to Measure the Stress Level for People with Dementia.

Authors:  Basel Kikhia; Thanos G Stavropoulos; Stelios Andreadis; Niklas Karvonen; Ioannis Kompatsiaris; Stefan Sävenstedt; Marten Pijl; Catharina Melander
Journal:  Sensors (Basel)       Date:  2016-11-24       Impact factor: 3.576

8.  Functional level assessment of individuals with transtibial limb loss: Evaluation in the clinical setting versus objective community ambulatory activity.

Authors:  Michael S Orendurff; Silvia U Raschke; Lorne Winder; David Moe; David A Boone; Toshiki Kobayashi
Journal:  J Rehabil Assist Technol Eng       Date:  2016-03-09

Review 9.  IoT Wearable Sensors and Devices in Elderly Care: A Literature Review.

Authors:  Thanos G Stavropoulos; Asterios Papastergiou; Lampros Mpaltadoros; Spiros Nikolopoulos; Ioannis Kompatsiaris
Journal:  Sensors (Basel)       Date:  2020-05-16       Impact factor: 3.576

10.  Progress in ambient assisted systems for independent living by the elderly.

Authors:  Riyad Al-Shaqi; Monjur Mourshed; Yacine Rezgui
Journal:  Springerplus       Date:  2016-05-14
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.