Gait, Falls, and Dementia

Morley, John E.

doi:10.1016/j.jamda.2016.03.024

Cited by 13 publications

(4 citation statements)

References 109 publications

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“…Dementia is a neurodegenerative disorder that impairs control of gait and increases the risk of falling [1]. In addition to being associated with a decrease in quality of life, loss of mobility and mortality, falls are also a large contributor to national healthcare costs [2].…”

Section: Introductionmentioning

confidence: 99%

“…In addition to being associated with a decrease in quality of life, loss of mobility and mortality, falls are also a large contributor to national healthcare costs [2]. While gait assessment is an important component of determining fall risk in older adults with dementia [1], current methods have important limitations, particularly for older adults with dementia.…”

Section: Introductionmentioning

confidence: 99%

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Measuring Gait Variables Using Computer Vision to Assess Mobility and Fall Risk in Older Adults With Dementia

Mehdizadeh

Iaboni

et al. 2020

IEEE J. Transl. Eng. Health Med.

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Fall risk is high for older adults with dementia. Gait impairment contributes to increased fall risk, and gait changes are common in people with dementia, although the reliable assessment of gait is challenging in this population. This study aimed to develop an automated approach to performing gait assessments based on gait data that is collected frequently and unobtrusively, and analysed using computer vision methods. Recent developments in computer vision have led to the availability of open source human pose estimation algorithms, which automatically estimate the joint locations of a person in an image. In this study, a preexisting pose estimation model was applied to 1066 walking videos collected of 31 older adults with dementia as they walked naturally in a corridor on a specialized dementia unit over a two week period. Using the tracked pose information, gait features were extracted from video recordings of gait bouts and their association with clinical mobility assessment scores and future falls data was examined. A significant association was found between extracted gait features and a clinical mobility assessment and the number of future falls, providing concurrent and predictive validation of this approach.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Measuring Gait Variables Using Computer Vision to Assess Mobility and Fall Risk in Older Adults With Dementia

Mehdizadeh

Iaboni

et al. 2020

IEEE J. Transl. Eng. Health Med.

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“…It has been shown that drinking 480 mL of water (at room temperature) could prevent the drop in blood pressure as much as 20 mmHg in patients with autonomic dysfunction (81). Some of the commonly used medications for treatment of PPH are listed in Table 2 (77,78,82):…”

Section: Figurementioning

confidence: 99%

Autonomic Neuropathy and Cardiovascular Disease in Aging

Shams

Morley

2018

The Journal of nutrition, health and aging

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“…3,[6][7] Impaired mobility, use of psychotropic drugs, anxiety, depression and orthostatic hypotension have been shown to increase fall risk. 4,[7][8][9][10][11][12] Neuropsychiatric symptoms (NPS), also called behavioral and psychological symptoms of dementia (BPSD), are known to be highly common in cognitive impairment, especially in long-term care settings. The prevalence of NPS in long-term care has been estimated to be as high as 82-92%.…”

Section: Introductionmentioning

confidence: 99%

Neuropsychiatric Symptoms as Predictors of Falls in Long-Term Care Residents With Cognitive Impairment

Roitto

Öhman

Salminen

et al. 2020

Journal of the American Medical Directors Association

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Objectives: Falls and neuropsychiatric symptoms (NPS) are common among long-term care residents with cognitive impairment. Despite the high prevalence of both falls and NPS, little is known about their association. The aim of our study was to explore how NPS, particularly the severity of NPS and specific NPS subgroups, are associated with falls and how psychotropics modify this association.Design: Longitudinal cohort study.Setting and Participants: 532 long-term care residents aged 65 years or over in Helsinki, Finland.Methods: NPS were measured with Neuropsychiatric Inventory (NPI) at baseline. Participants were grouped into three groups: no significant NPS (NPI points 0-3), low NPS burden (NPI 4-12) and high NPS burden (NPI>12). The number of falls, injuries, fractures, and hospitalizations were collected from medical records over 12 months following baseline assessment.Results: Altogether 606 falls occurred during the follow-up year. The falls led to 121 injuries, 42 hospitalizations, and 20 fractures. Falls and injuries increased significantly with NPS burden (p<0.001): 330 falls in the high NPS group (n=184), 188 falls in the low NPS group (n=181) and 88 falls in the no significant NPS group (n=167). The risk of falling showed a curvilinear association with NPI total score. Of NPS subgroups, psychosis and hyperactivity were associated with a higher incidence rate ratio of falls, whereas apathy had a protective association even after adjustment for age, sex and mobility. Affective symptoms were not associated with falls. Psychotropics did not modify the association between NPS burden and falls. Conclusions and Implications:The results of this study show that NPS, especially NPS severity, may predict falls and fall-related negative consequences. Severity of NPS should be taken into account when assessing fall risk in long-term care residents with cognitive impairment.

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Gait, Falls, and Dementia

Cited by 13 publications

References 109 publications

Measuring Gait Variables Using Computer Vision to Assess Mobility and Fall Risk in Older Adults With Dementia

Measuring Gait Variables Using Computer Vision to Assess Mobility and Fall Risk in Older Adults With Dementia

Autonomic Neuropathy and Cardiovascular Disease in Aging

Neuropsychiatric Symptoms as Predictors of Falls in Long-Term Care Residents With Cognitive Impairment

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