View clinical trials related to Fall.
Filter by:Fall is a common problem encountered by elderlies. In Hong Kong, the prevalence rate of falls among elderlies aged above 65 years old ranged from 18%-29%, standing at approximately one-fifths of the total elderly population. Falls pose huge threats to the physical and psychosocial health of the elderlies as they are often accompanied by serious injuries such as bone fracture and post-fall syndrome, decreased confidence in walking, and social exclusion. Otago Exercise Program (OEP) was a tailor-made home-based fall prevention program of community-dwelling elderlies. It comprises of 3 main components: 5 lower limb strengthening, 12 balance retraining and walking exercises. Regarding on its effectiveness, multiple studies revealed that OEP and modified version of OEP (mOEP) brought significant improvements on perceived, static and dynamic balance, lower limb strength, quality of life and functional capacity of healthy elderlies and those with various health conditions such as chronic illnesses, osteoarthritis, stroke and hemiplegia. The delivery method of OEP and mOEP has been limited to have elderlies following the instructions and illustrations of a printed booklet. Currently, there are only two proposed effective forms of mOEP: video-instructed and Exergames. Our study attempts to establish a new home-based exercise option incorporating mOEP with video, music and lyrics. It helps to increase the exercise motivation of elderlies, hence their physical performance.
The purpose of this study is to evaluate the effectiveness of a structured and progressive task-oriented, community based exercise program for older adults who have limitations in mobility and examine whether improvements in mobility and quality of life would be seen following completion at 6 months.
This study focuses on administering home-based exercises which include balance, strength, endurance, and mobility training to pre-frail subjects via one of the 3 intervention arms. These evidence-based home exercises are performed two times a week for 12 weeks (3 months). A follow-up assessment will be conducted at the end of 9 months after 6 months maintenance phase.
The European Geriatric Medicine Society (EuGMS) Task and Finish Group published a consensus paper on fall-risk increasing drugs. However, the group did not reach consensus on 17 medication classes as potential FRIDs. Thus, in this study the investigators want to examine the association between use of these potential FRIDs and falls rate with a 1-year follow-up in a cohort of community-dwelling older adults, aged 75 years or more.
Approximately one-third of older adults report one or more falls each year, with devastating physical, psychological, social, and financial consequences. Conventional gait analysis performed in a controlled laboratory environment can identify balance deficits, but unfortunately, such tools are bulky, time-consuming, and dependent on qualified technicians to properly collect and evaluate the data. Furthermore, these one-time gait and balance assessments cannot monitor changes in ambulatory strategies longitudinally and do not reflect performance in real-life environments, where falls commonly occur. While recent developments in smartphone-based evaluations have demonstrated great utility and accuracy in assessing gait performance, it is vital to evaluate participant compliance, ease-of-use, and feasibility of this technology using a smartphone in the home environment. It is also paramount that interventions which improve balance be accessible to older adults. While four-week balance training routines have been shown to improve balance performance among older adults, it is unknown whether such interventions can be conducted remotely in a safe and compliant manner. Furthermore, the retention of balance function following intervention is unclear. Subsequently, the goals of this study are to evaluate technology that can both remotely monitor balance and prescribe intervention to older adults. With the current burdens on the health care system and the burgeoning population of older adults, it is essential that tools be provided to older adults that are easy to follow, attractive, and improve balance performance. Therefore, the objective of this project is to investigate the utility of a valid, easily accessible, smartphone application to assess balance and provide personalized exercise for older adults as a stand-alone, field-based medical device. The aims of this proposal are to (1) utilize a smartphone application to longitudinally evaluate gait and standing balance over an 8-week period in the home environment among 30; and (2) determine the feasibility and efficacy of a smartphone application to promote exercise and evaluate gait changes for up to 2 months in this older adult population following a 4-week balance intervention. The long-term goal of this project is to provide a holistic home-based gait monitoring and intervention tool for integration in routine clinical care.
The aim of this study is to translate the original English version POMA scale into Urdu and also determine cultural adaptation to establish its validity and reliability. This study also aims to correlate Performance oriented Mobility Assessment (POMA) scales with time up and go test in elderly population.
The overarching objective of this study is to improve fall prevention efforts in community-dwelling older adults with peripheral artery disease (PAD) to reduce falls. To accomplish this, the investigators will conduct a feasibility study and pilot the addition of a balance exercise component to existing supervised exercise therapy (SET) programs for PAD. This intervention may be an effective way to help older adults with PAD self-manage their leg pain and walking impairments as well as fall risk. The long-term goal of this research is to reduce morbidity and mortality associated with falls in older adults with symptomatic PAD through the development and evaluation of a balance intervention component implemented within existing exercise programs. Findings from this research may also be translated to the implementation of disease management programs for other chronic conditions associated with fall risk. The rationale for this research is to determine improve disease-specific, comprehensive and fall prevention strategies for older adults with PAD.
The goal of this project is to further develop and evaluate a computerized cognitive-training program designed to extend older adults' functional independence and reduce accidental falls (i.e., reduce factors that contribute to fall risk; including cognitive abilities/executive functions). This intervention may benefit a large population of vulnerable older adults with elevated fall risk and lack of long-term viable treatment options.
Falls are a serious problem in the elderly leading to injuries, morbidity, and consequently a heavy impact on the individual suffering, and society at large. This study aims to investigate the effectiveness of a remote fall prevention program in comparison with a similar face-to-face program. This study design is a randomized control trial (RCT) with a cross-over in group allocation. The population will include 106 home-dwelling elderly, aged 65 years or more, with low to moderate risk of fall. Participants will be randomized to start intervention in the remote or face-to-face group. Training will be twice weekly for 3 months, after which there will be two weeks of washout, followed by a cross-over between groups. Outcome measures will include fall rate over a year (primary measure), balance, functional testing, subjective measures of fear of falls, quality of life, satisfaction from intervention, adherence, and compliance.
The sudden biomechanical inactivation, direct neuro-humoral effects and sustained systemic stress reaction, which commonly occur after stroke or TIA, all may be of relevance in triggering alterations in bone metabolism and remodelling of bone microstructure. The objectives of this observational pilot study are to characterize falls and fractures and their circumstances (sex and age specific incidence, time course, risk conditions, localization) in ischemic stroke patients, study changes in the bone microstructure after ischemic stroke supported by high-resolution peripheral quantitative Computer Tomography, unravel a molecular mechanisms underlying the increased fracture risk (focus on Wnt-signaling and ß-adrenergic projection), establish risk factors to estimate the risk of falls based on information from gait analysis as well as construct deep learning algorithms to identify bone microstructure parameters for predicting fractures.