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Chau A, Kim DH, Sison SDM, Shi SM. Mobility Device Use and Frailty Progression in Community-Dwelling Older Adults With Mobility Limitations. J Aging Health 2024:8982643241242927. [PMID: 38565230 DOI: 10.1177/08982643241242927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Objective: Examine the association between mobility device use and changes in a frailty index (FI) over one year in community-dwelling older adults with mobility limitations. Methods: Analyses utilized 2015-2016 data from the National Health and Aging Trends Study community-dwelling older adults (n = 3934). We calculated a validated 40-item deficit accumulation frailty index (FI) in 2015 and 2016 and compared one year change in FI in older adults with/without canes or walkers using multivariable logistic regression. Analyses were repeated with stratification by baseline frailty. Results: Device use was not associated with worsening frailty in the overall cohort, but was associated with worsening frailty in non-frail individuals when stratified by baseline frailty. Discussion: Device use does not worsen frailty in individuals who are frail at baseline. Device users who were not frail at baseline experienced worsening frailty suggesting additional contributing factors to their frailty aside from mobility limitations.
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Affiliation(s)
- Amanda Chau
- University of Hawaii John A Burns School of Medicine, Honolulu, HI, USA
| | - Dae H Kim
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Stephanie Denise M Sison
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA
- University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Sandra M Shi
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
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Cruz AM, Monsalve L, Ladurner AM, Jaime LF, Wang D, Quiroga DA. Information and Communication Technologies for Managing Frailty: A Systematic Literature Review. Aging Dis 2021; 12:914-933. [PMID: 34094651 PMCID: PMC8139198 DOI: 10.14336/ad.2020.1114] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Accepted: 11/15/2020] [Indexed: 11/17/2022] Open
Abstract
Frailty is a prevalent condition among Canadians; over one million are diagnosed as medically frail, and in the next ten years this number will double. Information and telecommunication technologies can provide a low-cost method for managing frailty more proactively. This study aims to examine the range and extent of information and telecommunication technologies for managing frailty in older adults, their technology readiness level, the evidence, and the associated outcomes. A systematic literature review was conducted. Four databases were searched for studies: Medline, EMBASE, CINAHL, and Web of Science. In total, we included 19 studies (out of 9,930) for the data abstraction. Overall, our findings indicate that (1) the proposed frailty phenotype is the most common ground truth to be used for assessing frailty; (2) the most common uses of information and telecommunication technologies for managing frailty are detection, and monitoring and detection, while interventional studies on frailty are very rare; (3) the five main types of information and telecommunication technologies for managing frailty in older adults are information and telecommunication technology-based platforms, smartphones, telemonitoring (home monitoring), wearable sensors and devices (commercial off-the-shelf), and multimedia formats for online access; (4) the technology readiness level of information and telecommunication technologies for managing frailty in older adults is the “Technology Demonstration” level, i.e., not yet ready to be operated in an actual operating environment; and (5) the level of evidence is still low for information and telecommunication technology studies that manage frailty in older adults. In conclusion, information and telecommunication technologies for managing frailty in the older adult population are not yet ready to be full-fledged technologies for this purpose.
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Affiliation(s)
- Antonio Miguel Cruz
- 1Department of Occupational Therapy, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, AB, Canada.,2Glenrose Rehabilitation Research, Innovation & Technology (GRRIT) Hub, Glenrose Rehabilitation Hospital, Edmonton, AB, Canada.,3Faculty of Applied Health Sciences, University of Waterloo, Waterloo, ON, Canada
| | - Laura Monsalve
- 4School of Medicine and Health Sciences, Universidad del Rosario, Bogota, Colombia
| | - Anna-Maria Ladurner
- 1Department of Occupational Therapy, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, AB, Canada
| | - Luisa Fernanda Jaime
- 4School of Medicine and Health Sciences, Universidad del Rosario, Bogota, Colombia
| | - Daniel Wang
- 1Department of Occupational Therapy, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, AB, Canada
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3
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Cobo A, Villalba-Mora E, Pérez-Rodríguez R, Ferre X, Rodríguez-Mañas L. Unobtrusive Sensors for the Assessment of Older Adult's Frailty: A Scoping Review. SENSORS 2021; 21:s21092983. [PMID: 33922852 PMCID: PMC8123069 DOI: 10.3390/s21092983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 04/15/2021] [Accepted: 04/21/2021] [Indexed: 11/30/2022]
Abstract
Ubiquity (devices becoming part of the context) and transparency (devices not interfering with daily activities) are very significant in healthcare monitoring applications for elders. The present study undertakes a scoping review to map the literature on sensor-based unobtrusive monitoring of older adults’ frailty. We aim to determine what types of devices comply with unobtrusiveness requirements, which frailty markers have been unobtrusively assessed, which unsupervised devices have been tested, the relationships between sensor outcomes and frailty markers, and which devices can assess multiple markers. SCOPUS, PUBMED, and Web of Science were used to identify papers published 2010–2020. We selected 67 documents involving non-hospitalized older adults (65+ y.o.) and assessing frailty level or some specific frailty-marker with some sensor. Among the nine types of body worn sensors, only inertial measurement units (IMUs) on the waist and wrist-worn sensors comply with ubiquity. The former can transparently assess all variables but weight loss. Wrist-worn devices have not been tested in unsupervised conditions. Unsupervised presence detectors can predict frailty, slowness, performance, and physical activity. Waist IMUs and presence detectors are the most promising candidates for unobtrusive and unsupervised monitoring of frailty. Further research is necessary to give specific predictions of frailty level with unsupervised waist IMUs.
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Affiliation(s)
- Antonio Cobo
- Centre for Biomedical Technology (CTB), Universidad Politécnica de Madrid (UPM), Pozuelo de Alarcón, 28223 Madrid, Spain;
- Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), 28029 Madrid, Spain
- Correspondence: (A.C.); (E.V.-M.); Tel.: +34-910-679-275 (E.V.-M.)
| | - Elena Villalba-Mora
- Centre for Biomedical Technology (CTB), Universidad Politécnica de Madrid (UPM), Pozuelo de Alarcón, 28223 Madrid, Spain;
- Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), 28029 Madrid, Spain
- Correspondence: (A.C.); (E.V.-M.); Tel.: +34-910-679-275 (E.V.-M.)
| | - Rodrigo Pérez-Rodríguez
- Fundación para la Investigación Biomédica del Hospital Universitario de Getafe, Hospital de Getafe, Getafe, 28905 Madrid, Spain;
| | - Xavier Ferre
- Centre for Biomedical Technology (CTB), Universidad Politécnica de Madrid (UPM), Pozuelo de Alarcón, 28223 Madrid, Spain;
| | - Leocadio Rodríguez-Mañas
- Servicio de Geriatría, Hospital de Getafe, Getafe, 28095 Madrid, Spain;
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBER-FES), 28029 Madrid, Spain
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4
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Measurement of Results of Functional Reach Test with Sensors: A Systematic Review. ELECTRONICS 2020. [DOI: 10.3390/electronics9071078] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The test of physical conditions is important to treat and presents several diseases related to the movement. These diseases are mainly related to the physiotherapy and orthopedy, but it can be applied in a wide range of medical specialties. The Functional Reach Test is one of the most common physical tests used to measure the limit of stability that is highly important for older adults because their stability is reduced with aging. Thus, older adults are part of the population more exposed to stroke. This test may help in the measurement of the conditions related to post-stroke and stroke treatment. The movements related to this test may be recorded and recognized with the inertial sensors available in off-the-shelf mobile devices. This systematic review aims to determine how to determine the conditions related to this test, which can be detected, and which of the sensors are used for this purpose. The main contribution of this paper is to present the research on the state-of-the-art use of sensors available on off-the-shelf mobile devices to measure Functional Reach Test results. This research shows that the sensors that are used in the literature studies are inertial sensors and force sensors. The features extracted from the different studies are categorized as dynamic balance, quantitative, and raw statistics. These features are mainly used to recognize the different parameters of the test, and several accidents, including falling. The execution of this test may allow the early detection of different diseases.
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5
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Intelligent Three-High Diseases Home Warning System Based on Fuzzy Theory. J Med Biol Eng 2018. [DOI: 10.1007/s40846-017-0368-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Min SD, Wang C, Park DS, Park JH. Development of A Textile Capacitive Proximity Sensor and Gait Monitoring System for Smart Healthcare. J Med Syst 2018. [PMID: 29532314 DOI: 10.1007/s10916-018-0928-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
Gait is not only one of the most important functions and activities in daily life but is also a parameter to monitor one's health status. We propose a single channel capacitive proximity pressure sensor (TCPS) and gait monitoring system for smart healthcare. Insole-type TCPS (270 mm in length) was designed consisting of three layers including two shield layers and a sensor layer. Analyzing the step count and stride time are the basic indicators in gait analysis, thus they were selected as evaluation indicators. A total of 12 subjects participated in the experiment to evaluate the resolution of our TCPS. To evaluate the accuracy of TCPS, step count and its error rates were simultaneously detected by naked eye, ZIKTO Walk (ZIKTO Co., Korea), and HJ-203-K pedometer (Omron Co., Japan) as reference. Results showed that the error rate of 1.77% in TCPS was lower than those of other devices and correlation coefficient was 0.958 (p-value = 0.000). ZIKTO Walk and pedometer do not provide information on stride time, therefore it was detected by F-scan (Tekscan, USA) to evaluate the performance of TCPS. As a result, error rate of stride time measured by TCPS was found to be 1% and the correlation coefficient was 0.685 (p-value = 0.000). According to these results, our proposed system may be helpful in development of gait monitoring and measurement system as smart healthcare.
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Affiliation(s)
- Se Dong Min
- 1521, Department of Medical IT Engineering, Soonchunhyang University, 22,Soonchunhyang-ro, Asan, 31538, South Korea
| | - Changwon Wang
- 1521, Department of Medical IT Engineering, Soonchunhyang University, 22,Soonchunhyang-ro, Asan, 31538, South Korea
| | - Doo-Soon Park
- M516, Department of Computer software Engineering, Soonchunhyang University, 22,Soonchunhyang-ro, Asan, 31538, South Korea
| | - Jong Hyuk Park
- Department of Computer Science and Engineering, Seoul National University of Science and Technology (SeoulTech), Seoul, 01811, South Korea.
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7
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Kinecting Frailty: A Pilot Study on Frailty. HUMAN ASPECTS OF IT FOR THE AGED POPULATION. APPLICATIONS IN HEALTH, ASSISTANCE, AND ENTERTAINMENT 2018. [DOI: 10.1007/978-3-319-92037-5_19] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
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Mugueta-Aguinaga I, Garcia-Zapirain B. Is Technology Present in Frailty? Technology a Back-up Tool for Dealing with Frailty in the Elderly: A Systematic Review. Aging Dis 2017; 8:176-195. [PMID: 28400984 PMCID: PMC5362177 DOI: 10.14336/ad.2016.0901] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2016] [Accepted: 09/01/2016] [Indexed: 11/24/2022] Open
Abstract
This study analyzes the technologies used in dealing with frailty within the following areas: prevention, care, diagnosis and treatment. The aim of this paper is, on the one hand, to analyze the extent to which technology is present in terms of its relationship with frailty and what technological resources are used to treat it. Its other purpose is to define new challenges and contributions made by physiotherapy using technology. Eighty documents related to research, validation and/or the ascertaining of different types of hardware, software or both were reviewed in prominent areas. The authors used the following scales: in the area of diagnosis, Fried's phenotype model of frailty and a model based on trials for the design of devices. The technologies developed that are based on these models accounted for 55% and 45% of cases respectively. In the area of prevention, the results proved similar regarding the use of wireless sensors with cameras (35.71%), and Kinect™ sensors (28.57%) to analyze movements and postures that indicate a risk of falling. In the area of care, results were found referring to the use of different motion, physiological and environmental wireless sensors (46,15%), i.e. so-called smart homes. In the area of treatment, the results show with a percentage of 37.5% that the Nintendo® Wii™ console is the most used tool for treating frailty in elderly persons. Further work needs to be carried out to reduce the gap existing between technology, frail elderly persons, healthcare professionals and carers to bring together the different views about technology. This need raises the challenge of developing and implementing technology in physiotherapy via serious games that may via play and connectivity help to improve the functional capacity, general health and quality of life of frail individuals.
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Affiliation(s)
- Iranzu Mugueta-Aguinaga
- Rehabilitation Service, Cruces Universitary Hospital, Plaza Cruces s/n, 48903, Barakaldo, Spain.
| | - Begonya Garcia-Zapirain
- DeustoTech - Deusto Foundation, Avda Universidades, 24, 48007, Bilbao, Spain
- Engineering Faculty, University of Deusto, Avda. Universidades, 24, 48007, Bilbao, Spain
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9
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Affiliation(s)
- Evan D Muse
- Scripps Translational Science Institute, La Jolla, CA 92037, USA.
| | - Paddy M Barrett
- Scripps Translational Science Institute, La Jolla, CA 92037, USA
| | | | - Eric J Topol
- Scripps Translational Science Institute, La Jolla, CA 92037, USA
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