Mobility Impairment and Its Consequences in the Elderly

2018 ◽  
pp. 305-310 ◽  
Author(s):  
Cynthia Owsley ◽  
Richard M. Allman ◽  
Marilyn Gossman ◽  
Sherron Kell ◽  
Richard V. Sims ◽  
...  
2017 ◽  
Vol 20 (2) ◽  
pp. 161-174 ◽  
Author(s):  
Michelle Didone dos Santos ◽  
Marcela Fernandes Silva ◽  
Leonardo Antunes Velloza ◽  
José Eduardo Pompeu

Abstract Objective: To analyze the association between the decline in the mobility of community dwelling elderly persons in São Paulo, Brazil and their capacity to use public transportation, and its impact on their quality of life and social participation. Method: A cross-sectional study was conducted of 32 community dwelling elderly persons, of both genders (59% female), with an average age of 75.5 years (±9.2). The participants were evaluated by functional mobility, risk of falls, fear of falls and independence in activities of daily living. In addition, the perception of the elderly persons of their mobility on public transport and its impact on their social participation was evaluated. The elderly persons were divided into two groups: with mobility impairment and without mobility impairment. The groups were compared using the Fisher's Exact, Chi-Squared and Mann-Whitney tests, and the unpaired Student's t-test. An alpha level of 0.05 was adopted as a level of statistical significance. Result: Elderly persons with greater mobility impairment exhibited greater difficulty accessing public transport and a greater number of falls during their use of the same. Elderly persons who reported difficulty accessing public transport suffered greater impact on their social participation and quality of life. Conclusion: Elderly persons with greater mobility impairment had a greater number of complaints related to public transport. Additionally, they suffered a greater impact on their social participation, characterized by limitations in their capacity for independent movement around the city, limiting their social activities.


2021 ◽  
Vol 12 ◽  
Author(s):  
Shih-Hai Chen ◽  
Chia-Hsuan Lee ◽  
Bernard C. Jiang ◽  
Tien-Lung Sun

Fall risk assessment is very important for the graying societies of developed countries. A major contributor to the fall risk of the elderly is mobility impairment. Timely detection of the fall risk can facilitate early intervention to avoid preventable falls. However, continuous fall risk monitoring requires extensive healthcare and clinical resources. Our objective is to develop a method suitable for remote and long-term health monitoring of the elderly for mobility impairment and fall risk without the need for an expert. We employed time–frequency analysis (TFA) and a stacked autoencoder (SAE), which is a deep neural network (DNN)-based learning algorithm, to assess the mobility and fall risk of the elderly according to the criteria of the timed up and go test (TUG). The time series signal of the triaxial accelerometer can be transformed by TFA to obtain richer image information. On the basis of the TUG criteria, the semi-supervised SAE model was able to achieve high predictive accuracies of 89.1, 93.4, and 94.1% for the vertical, mediolateral and anteroposterior axes, respectively. We believe that deep learning can be used to analyze triaxial acceleration data, and our work demonstrates its applicability to assessing the mobility and fall risk of the elderly.


2020 ◽  
Author(s):  
Michalis Diakakis

<p>Despite the recent advances in technology and infrastructure, extreme flood events continue to induce a significant number of fatalities across the globe, hurting particularly flash flood-prone and other vulnerable communities. The vulnerability of individuals to flooding has been studied in numerous previous works that examine various demographic and situational factors and their relation to the risk that floodwaters pose to individuals or more broadly, their association with flood mortality.</p><p>In an effort to provide a better understanding of how flood fatalities occur and how we can prevent them, this work focuses on the influence of the surrounding environment and victims’ behaviour during fatal incidents. The study exploits a database of flood fatalities for Greece (1960-2019) and examines statistical correlations between different elements, including the victims’ age and gender, their activity, the immediate surroundings and the environment that the incidents occur, as well as victims’ behaviour on the basis of their actions.</p><p>With respect to the surrounding environment, results indicate that particular characteristics of fatalities differ considerably depending on the setting. Outdoor, vehicle-related deaths are more abundant in rural settings, in which victims show mostly an active (risk-taking) behaviour towards floodwaters. Urban environments are characterized by larger numbers of indoor deaths (especially for the elderly) and a wider diversity of victim activities. Overall, analysis indicates that dangerous situations tend to develop differently between urban and rural settings.</p><p>With regard to victim behaviour, analysis of the database shows a great diversity of motivations behind their actions at the time of fatal incidents. A study of these motivations indicates that an overwhelming majority of flood victims come in contact with floodwaters deliberately, while they are in an initial position of safety. On the contrary, a smaller percentage of victims (close to one quarter) exhibits behaviours that can be characterized as passive, such as getting trapped inside buildings or being unable to flee danger, highlighting a population with particular vulnerability characteristics. Furthermore, victim behaviour was found to be strongly connected to victim demographics and surroundings, to an extent that it can be predicted with a high degree of certainty (i.e. close to 90%) by means of a statistical model.</p><p>The analysis provides insights useful to further understand the vulnerability of the population to flooding, in terms of how dangerous situations develop. The findings can be exploited in shaping policy and education programs that aim to mitigate risk of fatal incidents to specific population groups (e.g. vehicle-occupants, individuals with mobility impairment). Through better-targeted initiatives, these insights have the potential to enhance the overall resilience of communities, especially in flood-prone areas.</p>


2018 ◽  
Vol 11 (1) ◽  
pp. 14-19
Author(s):  
Rabia Mahmood Khan

Decline in functional ability among the elderly is of clinical relevance as a marker of potentially treatable clinical disease. It is possible to screen older people for mobility issues and apply early interventions to prevent mobility problems and rehabilitate existing mobility impairments. This article discusses the predictors of mobility decline, available screening tools and the prevention and management of mobility impairment in primary care.


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