Literature DB >> 27637581

Technology-based measurements for screening, monitoring and preventing frailty.

L Dasenbrock1, A Heinks2, M Schwenk3,4, J M Bauer5.   

Abstract

BACKGROUND AND
OBJECTIVE: Sensor technology, in particular wearable inertial sensors, has the potential to help researchers objectively assess the functionality of older adults. The following review provides an overview about the possible use of sensor technology to detect and prevent pre-frailty and frailty.
METHOD: A systematic literature search in PubMed and the Cochrane Library was conducted. Articles were selected according to the following criteria: frail and/or pre-frail population, use of wearable and non-wearable sensor technology to measure or enhance human movements or activities of daily living and a focus on frailty assessment.
RESULTS: A total of 28 publications were found. Sensor-derived parameters obtained during assessment of gait, functional performances and physical activity were reported to be relevant for screening and monitoring pre-frailty and frailty; however, current findings are limited to cross-sectional studies, which do not allow establishment of a causal relationship between motor performance, physical activity and specific frailty states. No study monitored specific activities of daily living. DISCUSSION: Outcome variables from technology-based assessment seem to provide valuable information for frailty assessment. Strenuous testing conditions as well as increased variability in gait, functional performance and physical activity may be useful in identifying frailty. Outcome variables derived from gait, motor assessment and physical activity must still be validated in large cohorts and under daily living conditions in order to develop robust screening tools for pre-frailty and frailty. Further research should focus on specific activities of daily living in pre-frail or frail older adults and technology-based approaches for intervention and prevention.

Entities:  

Keywords:  Assessment; Frail older adults; Gerontechnology; Monitoring; Wearable sensors

Mesh:

Year:  2016        PMID: 27637581     DOI: 10.1007/s00391-016-1129-7

Source DB:  PubMed          Journal:  Z Gerontol Geriatr        ISSN: 0948-6704            Impact factor:   1.281


  59 in total

1.  Frailty screening comes of age.

Authors:  J E Morley
Journal:  J Nutr Health Aging       Date:  2014-05       Impact factor: 4.075

2.  Validity of an Accelerometer-Based Activity Monitor System for Measuring Physical Activity in Frail Older Adults.

Authors:  Anne M Hollewand; Anouk G Spijkerman; Henk J G Bilo; Nanne Kleefstra; Yvo Kamsma; Kornelis J J van Hateren
Journal:  J Aging Phys Act       Date:  2016-08-24       Impact factor: 1.961

3.  Expert Knowledge for Modeling Functional Health from Sensor Data.

Authors:  Saskia M B Robben; Margriet C Pol; Bianca M Buurman; Ben J A Kröse
Journal:  Methods Inf Med       Date:  2016-06-20       Impact factor: 2.176

4.  Classification of frailty and falls history using a combination of sensor-based mobility assessments.

Authors:  Barry R Greene; Emer P Doheny; Rose A Kenny; Brian Caulfield
Journal:  Physiol Meas       Date:  2014-09-19       Impact factor: 2.833

5.  Frailty in older adults: evidence for a phenotype.

Authors:  L P Fried; C M Tangen; J Walston; A B Newman; C Hirsch; J Gottdiener; T Seeman; R Tracy; W J Kop; G Burke; M A McBurnie
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2001-03       Impact factor: 6.053

6.  Towards falls prevention: a wearable wireless and battery-less sensing and automatic identification tag for real time monitoring of human movements.

Authors:  Damith C Ranasinghe; Roberto L Shinmoto Torres; Alanson P Sample; Joshua R Smith; Keith Hill; Renuka Visvanathan
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012

7.  Relating wrist accelerometry measures to disability in older adults.

Authors:  Megan J Huisingh-Scheetz; Masha Kocherginsky; Elizabeth Magett; Patricia Rush; William Dale; Linda Waite
Journal:  Arch Gerontol Geriatr       Date:  2015-09-16       Impact factor: 3.250

Review 8.  A Review of the Accuracy and Utility of Motion Sensors to Measure Physical Activity of Frail, Older Hospitalized Patients.

Authors:  Ruth McCullagh; Noeleen M Brady; Christina Dillon; N Frances Horgan; Suzanne Timmons
Journal:  J Aging Phys Act       Date:  2015-11-19       Impact factor: 1.961

9.  Measurement properties of the Groningen Frailty Indicator in home-dwelling and institutionalized elderly people.

Authors:  Lilian L Peters; Han Boter; Erik Buskens; Joris P J Slaets
Journal:  J Am Med Dir Assoc       Date:  2012-05-12       Impact factor: 4.669

10.  Long-term prediction of changes in health status, frailty, nursing care and mortality in community-dwelling senior citizens—results from the Longitudinal Urban Cohort Ageing Study (LUCAS).

Authors:  Ulrike Dapp; Christoph E Minder; Jennifer Anders; Stefan Golgert; Wolfgang von Renteln-Kruse
Journal:  BMC Geriatr       Date:  2014-12-19       Impact factor: 3.921

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  10 in total

1.  [Sarcopenia and frailty 2016 : Going separate ways].

Authors:  J M Bauer
Journal:  Z Gerontol Geriatr       Date:  2016-10       Impact factor: 1.281

Review 2.  ICT technologies as new promising tools for the managing of frailty: a systematic review.

Authors:  Alessia Gallucci; Pietro Davide Trimarchi; Carlo Abbate; Cosimo Tuena; Elisa Pedroli; Fabrizia Lattanzio; Marco Stramba-Badiale; Matteo Cesari; Fabrizio Giunco
Journal:  Aging Clin Exp Res       Date:  2020-07-23       Impact factor: 3.636

Review 3.  Preventing falls: the use of machine learning for the prediction of future falls in individuals without history of fall.

Authors:  Ioannis Bargiotas; Danping Wang; Juan Mantilla; Flavien Quijoux; Albane Moreau; Catherine Vidal; Remi Barrois; Alice Nicolai; Julien Audiffren; Christophe Labourdette; François Bertin-Hugaul; Laurent Oudre; Stephane Buffat; Alain Yelnik; Damien Ricard; Nicolas Vayatis; Pierre-Paul Vidal
Journal:  J Neurol       Date:  2022-07-11       Impact factor: 6.682

4.  Assessment of frailty: a survey of quantitative and clinical methods.

Authors:  Yasmeen Naz Panhwar; Fazel Naghdy; Golshah Naghdy; David Stirling; Janette Potter
Journal:  BMC Biomed Eng       Date:  2019-03-18

Review 5.  Perceptual-motor styles.

Authors:  Pierre-Paul Vidal; Francesco Lacquaniti
Journal:  Exp Brain Res       Date:  2021-03-06       Impact factor: 2.064

6.  Instrumented gait analysis: a measure of gait improvement by a wheeled walker in hospitalized geriatric patients.

Authors:  Samuel Schülein; Jens Barth; Alexander Rampp; Roland Rupprecht; Björn M Eskofier; Jürgen Winkler; Karl-Günter Gaßmann; Jochen Klucken
Journal:  J Neuroeng Rehabil       Date:  2017-02-27       Impact factor: 4.262

Review 7.  Technology Used to Recognize Activities of Daily Living in Community-Dwelling Older Adults.

Authors:  Nicola Camp; Martin Lewis; Kirsty Hunter; Julie Johnston; Massimiliano Zecca; Alessandro Di Nuovo; Daniele Magistro
Journal:  Int J Environ Res Public Health       Date:  2020-12-28       Impact factor: 3.390

8.  Objective performance tests of cognition and physical function as part of a virtual geriatric assessment.

Authors:  Nupur E Bahl; Emily S Magnavita; Tammy Hshieh; Marcia Testa; Dae Kim; Brad Manor; Jane A Driver; Gregory A Abel; Clark DuMontier
Journal:  J Geriatr Oncol       Date:  2021-03-29       Impact factor: 3.599

Review 9.  Information and Communication Technologies for Managing Frailty: A Systematic Literature Review.

Authors:  Antonio Miguel Cruz; Laura Monsalve; Anna-Maria Ladurner; Luisa Fernanda Jaime; Daniel Wang; Daniel Alejandro Quiroga
Journal:  Aging Dis       Date:  2021-06-01       Impact factor: 6.745

10.  The Activ8 activity monitor: Validation of posture and movement classification.

Authors:  Herwin Horemans; Hedwig Kooijmans; Rita van den Berg-Emons; Hans Bussmann
Journal:  J Rehabil Assist Technol Eng       Date:  2020-03-16
  10 in total

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