Literature DB >> 24652916

Identifying Mobility Types in Cognitively Heterogeneous Older Adults Based on GPS-Tracking: What Discriminates Best?

Markus Wettstein1, Hans-Werner Wahl2, Noam Shoval3, Gail Auslander3, Frank Oswald4, Jeremia Heinik5.   

Abstract

Heterogeneity in older adults' mobility and its correlates have rarely been investigated based on objective mobility data and in samples including cognitively impaired individuals. We analyzed mobility profiles within a cognitively heterogeneous sample of N = 257 older adults from Israel and Germany based on GPS tracking technology. Participants were aged between 59 and 91 years (M = 72.9; SD = 6.4) and were either cognitively healthy (CH, n = 146), mildly cognitively impaired (MCI, n = 76), or diagnosed with an early-stage dementia of the Alzheimer's type (DAT, n = 35). Based on cluster analysis, we identified three mobility types ("Mobility restricted," "Outdoor oriented," "Walkers"), which could be predicted based on socio-demographic indicators, activity, health, and cognitive impairment status using discriminant analysis. Particularly demented individuals and persons with worse health exhibited restrictions in mobility. Our findings contribute to a better understanding of heterogeneity in mobility in old age.
© The Author(s) 2013.

Entities:  

Keywords:  GPS technology; dementia; mild cognitive impairment; mobility; old age

Mesh:

Year:  2013        PMID: 24652916     DOI: 10.1177/0733464813512897

Source DB:  PubMed          Journal:  J Appl Gerontol        ISSN: 0733-4648


  13 in total

1.  Assessment of Social Behavior Using a Passive Monitoring App in Cognitively Normal and Cognitively Impaired Older Adults: Observational Study.

Authors:  Marijn Muurling; Lianne M Reus; Casper de Boer; Sterre C Wessels; Raj R Jagesar; Jacob A S Vorstman; Martien J H Kas; Pieter Jelle Visser
Journal:  JMIR Aging       Date:  2022-05-20

2.  Relationship Between Life-Space Mobility and Health Characteristics in Older Adults Using Global Positioning System Watches.

Authors:  Jane Chung; Joseph Boyle; David C Wheeler
Journal:  J Appl Gerontol       Date:  2021-10-31

3.  Predictors of Daily Mobility of Adults in Peri-Urban South India.

Authors:  Margaux Sanchez; Albert Ambros; Maëlle Salmon; Santhi Bhogadi; Robin T Wilson; Sanjay Kinra; Julian D Marshall; Cathryn Tonne
Journal:  Int J Environ Res Public Health       Date:  2017-07-14       Impact factor: 3.390

4.  Development of a Sensor-Based Behavioral Monitoring Solution to Support Dementia Care.

Authors:  Julia Rosemary Thorpe; Birgitte Hysse Forchhammer; Anja M Maier
Journal:  JMIR Mhealth Uhealth       Date:  2019-05-30       Impact factor: 4.773

5.  Who is informed and who uninformed? Addressing the legal barriers to progress in dementia research and care.

Authors:  Jiska Cohen-Mansfield
Journal:  Isr J Health Policy Res       Date:  2019-02-20

6.  Towards a comprehensive set of GPS-based indicators reflecting the multidimensional nature of daily mobility for applications in health and aging research.

Authors:  Michelle Pasquale Fillekes; Eleftheria Giannouli; Eun-Kyeong Kim; Wiebren Zijlstra; Robert Weibel
Journal:  Int J Health Geogr       Date:  2019-07-24       Impact factor: 3.918

7.  GPS mobility as a digital biomarker of negative symptoms in schizophrenia: a case control study.

Authors:  Colin A Depp; Jesse Bashem; Raeanne C Moore; Jason L Holden; Tanya Mikhael; Joel Swendsen; Philip D Harvey; Eric L Granholm
Journal:  NPJ Digit Med       Date:  2019-11-08

8.  Assessing Older Adults' Daily Mobility: A Comparison of GPS-Derived and Self-Reported Mobility Indicators.

Authors:  Michelle Pasquale Fillekes; Eun-Kyeong Kim; Rieke Trumpf; Wiebren Zijlstra; Eleftheria Giannouli; Robert Weibel
Journal:  Sensors (Basel)       Date:  2019-10-19       Impact factor: 3.576

9.  Inferring Destinations and Activity Types of Older Adults From GPS Data: Algorithm Development and Validation.

Authors:  Sayeh Bayat; Gary Naglie; Mark J Rapoport; Elaine Stasiulis; Belkacem Chikhaoui; Alex Mihailidis
Journal:  JMIR Aging       Date:  2020-07-28

10.  Generating GPS activity spaces that shed light upon the mobility habits of older adults: a descriptive analysis.

Authors:  Jana A Hirsch; Meghan Winters; Philippa Clarke; Heather McKay
Journal:  Int J Health Geogr       Date:  2014-12-12       Impact factor: 3.918

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