A Program to Improve Reach Estimation and Reduce Fall Risk in the Elderly

Gabbard, Carl; Robinson, Kristyn; Fox, Ashley

doi:10.3390/geriatrics1020014

Cited by 4 publications

(4 citation statements)

References 35 publications

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“…Being more vulnerable than younger people, they need to rely on social connections and family members for monitoring and ensuring compliance with medication and a healthy lifestyle [ 11 ]. However, due to their physical inability, frequent movements are difficult for them [ 12 ]. Also, due to a higher hospitalization cost, such monitoring comes out as best if it could be arranged at home [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Factors influencing the elderly’s adoption of mHealth: an empirical study using extended UTAUT2 model

Palas

Sorwar

Hoque

et al. 2022

BMC Med Inform Decis Mak

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Background Despite the high usage of mobile phones in daily life in developing countries like Bangladesh, the adoption and usage of mHealth services have been significantly low among the elderly population. When searching previous studies, the researchers have found that no studies have empirically investigated whether the quality of life and service quality are significant for mHealth adoption by elderlies in Bangladesh. Hence, this study aimed to extend the Unified Theory of Acceptance and Use of Technology by adding service quality and the quality of life to empirically find the key factors that influence elderlies’ intention to adopt and use mHealth services in Bangladesh. Methods A face-to-face structured questionnaire survey method was used to collect data from 493 elderlies (aged 60 years and above) in Bangladesh. The data were analyzed with the Structural Equations Modelling (SEM) and Fuzzy Set Qualitative Comparative Analysis (fsQCA). Results SEM results suggested that Social Influence, Hedonic Motivation, Price Value, Habit, and Service Quality had significant impact (p < 0.05) on the elderlies’ behavioral intention to adopt mHealth services. Service Quality, Quality of Life, and elderlies’ Habit were found significant in explaining the Use Behavior of mHealth services. Quality of Life did not show significant (p > 0.05) effect on Behavioral Intention, which is inconsistent with existing literature. In addition, fsQCA findings suggest how the intensity of the influencers may contribute to high versus low m-health behavioral outcomes. Conclusions The findings have significant implications for theory, practice and future research as explained in the paper. The originality of this study is the integration of quality of life and service quality into UTUAT2 to explain the users’ behavioural intention and use behaviour. Overall, the findings may contribute to shaping appropriate policies for designing and implementing mHealth services effectively for elderlies in developing countries.

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Section: Introductionmentioning

confidence: 99%

Factors influencing the elderly’s adoption of mHealth: an empirical study using extended UTAUT2 model

Palas

Sorwar

Hoque

et al. 2022

BMC Med Inform Decis Mak

View full text Add to dashboard Cite

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“…Compared to young adults, older individuals have been observed to have, for example, increased risk of falling (e.g. [ 1 , 2 ]), altered gait patterns (e.g. [ 3 , 4 ]) and reduced upper limb functionality [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

“…This is particularly true for upper limb tasks which do not require maximal strength or speed, and hence their limiting factors are not necessarily straightforward to measure. Yet failures in reaching tasks, and subsequent potential loss of balance, are a contributing factor for falls in the elderly [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

The impact of age-related increase in passive muscle stiffness on simulated upper limb reaching

Murtola

Richards

2023

R. Soc. open sci.

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Ageing changes the musculoskeletal and neural systems, potentially affecting a person’s ability to perform daily living activities. One of these changes is increased passive stiffness of muscles, but its contribution to performance is difficult to separate experimentally from other ageing effects such as loss of muscle strength or cognitive function. A computational upper limb model was used to study the effects of increasing passive muscle stiffness on reaching performance across the model’s workspace (all points reachable with a given model geometry). The simulations indicated that increased muscle stiffness alone caused deterioration of reaching accuracy, starting from the edges of the workspace. Re-tuning the model’s control parameters to match the ageing muscle properties does not fully reverse ageing effects but can improve accuracy in selected regions of the workspace. The results suggest that age-related muscle stiffening, isolated from other ageing effects, impairs reaching performance. The model also exhibited oscillatory instability in a few simulations when the controller was tuned to the presence of passive muscle stiffness. This instability is not observed in humans, implying the presence of natural stabilizing strategies, thus pointing to the adaptive capacity of neural control systems as a potential area of future investigation in age-related muscle stiffening.

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“…Perceptual illusion [ 150 ] occurs if the head moves, then heading is compressed [ 151 , 152 , 153 ]. The mature brain endows perspective upon space, with the role of foreshortening cues [ 154 , 155 ]. If, however, sight deteriorates with declines in contrast sensitivity and visual acuity [ 106 , 156 , 157 ] the continuity of perception and smooth pursuit decreases and the risk of falling increases, specifically if targets happen to move [ 158 , 159 , 160 ].…”

Section: Introductionmentioning

confidence: 99%

Proof of Concept of Novel Visuo-Spatial-Motor Fall Prevention Training for Old People

et al. 2021

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Falls in the geriatric population are one of the most important causes of disabilities in this age group. Its consequences impose a great deal of economic burden on health and insurance systems. This study was conducted by a multidisciplinary team with the aim of evaluating the effect of visuo-spatial-motor training for the prevention of falls in older adults. The subjects consisted of 31 volunteers aged 60 to 92 years who were studied in three groups: (1) A group under standard physical training, (2) a group under visuo-spatial-motor interventions, and (3) a control group (without any intervention). The results of the study showed that visual-spatial motor exercises significantly reduced the risk of falls of the subjects.

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A Program to Improve Reach Estimation and Reduce Fall Risk in the Elderly

Cited by 4 publications

References 35 publications

Factors influencing the elderly’s adoption of mHealth: an empirical study using extended UTAUT2 model

Factors influencing the elderly’s adoption of mHealth: an empirical study using extended UTAUT2 model

The impact of age-related increase in passive muscle stiffness on simulated upper limb reaching

Proof of Concept of Novel Visuo-Spatial-Motor Fall Prevention Training for Old People

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