Older People with Dementia Have Reduced Daily-Life Activity and Impaired Daily-Life Gait When Compared to Age-Sex Matched Controls

2019 ◽  
Vol 71 (s1) ◽  
pp. S125-S135 ◽  
Author(s):  
Morag E. Taylor ◽  
Matthew A. Brodie ◽  
Kimberley S. van Schooten ◽  
Kim Delbaere ◽  
Jacqueline C.T. Close ◽  
...  
Keyword(s):  
Older People ◽  
Daily Life ◽  
Life Activity ◽  
Daily Life Activity ◽  
People With Dementia

scholarly journals Integration of balance and strength training into daily life activity to reduce rate of falls in older people (the LiFE study): randomised parallel trial

BMJ ◽  
2012 ◽  
Vol 345 (aug07 1) ◽  
pp. e4547-e4547 ◽  
Author(s):  
L. Clemson ◽  
M. A. Fiatarone Singh ◽  
A. Bundy ◽  
R. G. Cumming ◽  
K. Manollaras ◽  
...  
Keyword(s):  
Older People ◽  
Strength Training ◽  
Daily Life ◽  
Life Activity ◽  
Life Study ◽  
Daily Life Activity

scholarly journals Identification of Research Trends in Aging in Place Using Text Mining Analysis

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 50-50
Author(s):  
Ha Neul Kim ◽  
Seok In Nam
Keyword(s):  
Quality Of Life ◽  
Older Adults ◽  
Text Mining ◽  
Independent Living ◽  
Daily Life ◽  
Aging In Place ◽  
Research Trends ◽  
Life Activity ◽  
Daily Life Activity

Abstract Since 1980s professionals and social service providers have focused on aging at the place where people lived. This is the initial concept of the Aging in Place (AIP). Over 40 years, the topics have developed and extended to other disciplines welcoming different perspectives in the study of AIP. Therefore, this study aims to understand the overall research trends in Aging in Place (AIP) studies using text mining analysis to track the evolvement of AIP subtopics not only in Gerontology but also in various fields. To identify the topic trends, we collected the titles, abstracts, and keywords from 1,372 international articles that were published from 1981 to 2019. Then, keywords were extracted and cleaned based on precedent literature and discussions. We analyzed the keywords based on the degree of centrality and visualized the keyword-networks using VOSviewer and Pajek. Top-most popular keywords are “independent living”, “housing”, “older adults”, “home care”, “daily life activity” and “quality of life.” The change in topic trends shows that in the 1980s to early-2000s, research focused on organization and management level of intervention, home(housing) for the older adults, long term care. In the mid-2010s, health-related topics such as daily life activity, health service, health care delivery and quality of life have emerged. Recently, the topics have extended further to technology, caregiver, well-being, and environment design, environmental planning that support independent living of oneself. The research result shows that the interdisciplinary approach regarding AIP is not only inevitable but also encouraged for an in-depth discussion of the field.

scholarly journals Objective ADHD Diagnosis Using Convolutional Neural Networks Over Daily-Life Activity Records

2020 ◽  
Vol 24 (9) ◽  
pp. 2690-2700
Author(s):  
Patricia Amado-Caballero ◽  
Pablo Casaseca-de-la-Higuera ◽  
Susana Alberola-Lopez ◽  
Jesus Maria Andres-de-Llano ◽  
Jose Antonio Lopez Villalobos ◽  
...  
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Daily Life ◽  
Life Activity ◽  
Adhd Diagnosis ◽  
Daily Life Activity

162 Walking, Thinking and Daily-Life Activity in Older People with Dementia

2019 ◽  
Vol 48 (Supplement_4) ◽  
pp. iv34-iv39
Author(s):  
Morag Taylor ◽  
Annika Toots ◽  
Jacqueline C T Close ◽  
Kim Van Schooten ◽  
Matthew Brodie ◽  
...  
Keyword(s):  
Older People ◽  
Gait Speed ◽  
Verbal Fluency ◽  
Walking Speed ◽  
Daily Life ◽  
Cognitive Domain ◽  
Visuospatial Ability ◽  
Effective Prevention ◽  
People With Dementia ◽  
Attention Memory

Abstract Gait has been linked with cognition in cognitively healthy and impaired older people. However, the studies in cognitively impaired people have been small, have not contrasted the strength of cognitive domain associations and have reported inconsistent findings. We examined baseline data of 309 older people with mild-moderate cognitive impairment (age 82±6 years; 47% female) who were participating in a large fall prevention randomised controlled trial. Gait speed was measured at usual pace over 2.4m and cognitive performance was assessed with the Addenbrooke’s Cognitive Examination-III (ACE-III). The ACE-III assesses cognitive domain performance (attention; memory; verbal fluency; language; visuospatial ability). Executive function (EF) was additionally examined using the Frontal Assessment Battery (FAB). Each cognitive domain was associated with gait speed in separate models adjusted for confounders. EF (verbal fluency and the FAB) demonstrated the strongest association which withstood adjustment for attention, memory, language and visuospatial ability. In contrast, visuospatial ability was the only cognitive domain to withstand adjustment for EF (verbal fluency, not the FAB). These findings support higher-order gait regulation. Characterising individuals at risk of negative health outcomes can assist in identifying effective prevention strategies. Forty-five older people with mild-moderate dementia were age-sex matched to two (n=90) healthy controls and all participants (age 81±6 years, 42% female) wore triaxial accelerometers (MoveMonitor, McRoberts) on their lower back for 7-days. Daily-life gait quantity and quality were estimated from the MoveMonitor. Steady-state clinical walking speed was assessed at usual pace over 2.4 to 10.0m. Participants with dementia had reduced gait quantity, slower clinical, habitual daily-life and maximum daily-life walking speeds and multi-domain gait impairment compared to controls. In participants with dementia, clinical walking speed more closely represented habitual daily-life walking speed, whereas in controls, it more closely represented maximum daily-life walking speed. These findings have assessment, functional (e.g. crossing roads) and training/treatment implications.

Usefulness of anaerobic threshold for evaluating daily life activity and prescribing exercise to the healthy subjects and patients

1993 ◽  
Vol 17 (3-4) ◽  
pp. 219-225 ◽  
Author(s):  
M. Tamai ◽  
M. Kubota ◽  
M. Ikeda ◽  
K. Nagao ◽  
N. Irikura ◽  
...  
Keyword(s):  
Anaerobic Threshold ◽  
Healthy Subjects ◽  
Daily Life ◽  
Life Activity ◽  
Daily Life Activity

Analysis and effects of smart home dataset characteristics for daily life activity recognition

2013 ◽  
Vol 66 (2) ◽  
pp. 760-780 ◽  
Author(s):  
Iram Fatima ◽  
Muhammad Fahim ◽  
Young-Koo Lee ◽  
Sungyoung Lee
Keyword(s):  
Activity Recognition ◽  
Smart Home ◽  
Daily Life ◽  
Life Activity ◽  
Daily Life Activity
Sign in / Sign up

Export Citation Format

Share Document