View clinical trials related to Accidental Fall.
Filter by:This study investigates the role of calf muscle function in gait performance, balance and knee joint loading. Previous studies have linked age-related loss of calf muscle function with impairments in gait performance and balance, and increased loading of the areas of the knee joint that are susceptible to the development of osteoarthritis. In this study, an exercise intervention targeting structural and neural aspects of impaired calf muscle function with ageing is utilized. The intervention lasts 8 weeks and includes either biofeedback training using electromyography to alter muscle activation patterns or a combination of biofeedback training and strength training for the calf muscle to modify calf function during walking. The study will test whether the intervention improves walking speed, reduces the metabolic cost of walking, improves standing balance and reduces knee joint loading.
The investigators will conduct a hybrid effectiveness/implementation trial to simultaneously establish the effectiveness of home hazard removal in affordable housing in order to reduce falls, and conduct a process evaluation of how the intervention works in the context of low-income senior apartments.
Approximately 15 million older adults fall every year in the United States and fall prevention programs have only been moderately successful in arresting fall rates. This proposal uses motor learning principles derived from the attentional focus literature to determine whether training someone where to focus their attention during a balance task enhances balance control and reduces fall risk. Older adults (N=90) who are classified as fallers (one or more falls in the past 12 months) will be recruited. A series of balance control, clinical metrics of fall risk, and patient-reported outcomes will be assessed prior, during, and after a 12-week intervention to examine changes in performance and fall risk. The 12-week intervention will emphasize directing the participants' attention either internally or externally during a series of balance tasks. Empirical evidence and our preliminary data leads us to hypothesize that an external focus of attention training will positively influence balance control. This will be the first study to will examine balance control changes over 12-week balance intervention using an attentional focus paradigm and we will relate the balance control changes to clinical metrics that indicate fall risk and patient-reported outcomes. Further, our proposal includes a novel model of entropy in postural sway, a metric that has been proposed to relate to balance ability, to help explain the hypothesized enhancement in balance. Thus, this proposal will merge motor learning principles with a 12-week balance intervention to determine if fall risk is reduced in older adults. Specific Aim 1 compares balance performance within each trial/session throughout the 12 weeks of balance training to evaluate whether the attentional focus groups (external vs. internal) differ in their motor learning trajectory with respect to the balance task. Specific Aim 2 compares the motor ability outcome measures that relate to fall-risk between the groups (external focus, internal focus, or control) before, during, and after the 12-week balance intervention. Specific Aim 3 compares the patient-reported outcome measures of fear of falling, functional health and well-being, and fear of injury from movement between the groups (external focus, internal focus, or control) before, during, and after the 12-week balance intervention.
This study will test the feasibility of a study design for the Adapted Lifestyle-integrated Functional Exercise (LiFE) program for medically underserved older adults and to explore factors related to implementation. A feasibility trial will be conducted with a total of 16 participants. The control group will receive flexibility exercise program as attention control.
The investigators aim to do this initial pilot study as an observational prospective cohort study, evaluating elderly patients who have capacity in National Health Service (NHS) rehabilitation and community hospitals. The patients will each be recorded doing simple activities of daily living in two 2 hour sessions using a discrete wireless device. This will generate anonymous data set that can be used to train and refine our machine learning algorithm.
This study tests the effectiveness of using a new mobile application (Bingocize®) to improve older adults' (a) adherence to an engaging exercise program, and (b) aspects of functional performance, health knowledge, dietary habits, and cognition.
This study examines the effectiveness of the Stroll Safe Outdoor Fall Prevention program, a 7-week group based educational intervention. Half of participants are assigned to the Stroll Safe program and half are assigned to a wait list control group that initially receives written information only on outdoor falls prevention.
Fall prevention programs should include strength and balance training, home hazard assessment and intervention, vision assessment and referral and also medication review with modification/withdrawal. Evidence exists that a tailored exercise program can reduce falls by as much as 54%. The FallSensing games software include 3 mini-games to be played by two teams with up to 3 players each will compete against each other alternately. The players will perform an initial evaluation with FallSensing screening tool, 16 sessions of group games (2 times a week/8weeks) with FallSensing multiplayer games and a final evaluation also with FallSensing screening tool. Both initial and final evaluation include six functional tests (Grip Strength, Timed Up and Go, 30 seconds Sit-to-Stand, Step test, 4 Stage Balance test "modified" and 10 meters Walking Speed) and a questionnaire concerning self-efficacy for Exercise.
Falls in community-dwelling older adults is a frequent problem with an incidence of 30 % in over-65s and 50 % in over-80s. Incidences are expected to increase significantly in the future due to population aging. For instance, as of 2017, the global population older than 65 years is estimated to be 962 million and will increase to 1.4 and 2.1 billion in 2030 and 2050 respectively. In Denmark, falls are the most common accidents among older adults with around 36,000 fall accidents seen annually by the Danish health services and approximately 680 deaths yearly. This high frequency of fall accidents may also support the fact that falls in Denmark are the fourth most common reason for years lived with disability, thereby giving rise to reduced quality of life. Also, falls are associated with elevated morbidity, mortality, poorer physical functioning and early admission to long-term care facilities. Thus, this frequent and escalating problem of fall accidents is of major concern. Fall prevention is therefore highly relevant. It is recognised that fall-preventive strategies should take on a multifaceted approach due the multifactorial aetiology of falls. This is substantiated by more than 400 risk factors of falling that have now been identified. These spread across different domains including socio-demographics, medical conditions (e.g. atrial fibrillation), medication, physical performance (e.g. reduced lower extremity strength or reaction time), psychology (e.g. depression or fear of falling) and cognition (e.g. global cognitive impairment or reduced executive functioning). In order to aid health care professionals in targeting fall-preventive interventions, individual assessments of fall risk are imperative. In Denmark, municipalities are obliged to perform preventive initiatives to preserve the physical, mental and social health along with the functional capacity and quality of life of their older adults. The aim of these initiatives is to enable the older adults to live an independent and meaningful life for as long as possible. Recently, The Danish Health Authority released an updated manual to support this work. This emphasised the need for development of a validated prediction model to be used in a municipally environment to identify older adults at risk of falling. This is due to the abovementioned consequences of falls. To the knowledge of the authors, this is in line with literature being sparse on prognostic prediction models on falls in community-dwelling older adults with data collected outside a clinical environment (i.e. hospitals, GPs and screening or assessment centres). Objectives: Primary: To develop and internally validate a multifactorial prognostic prediction model on fall risk in community-dwelling older adults in a non-clinical setting. The intended use of the model is, for municipalities, to identify and refer citizens with high risk of falls to fall-preventive interventions. Secondary: 1. To estimate time-consumption for the final prediction model. 2. To describe the prevalence of arrhythmias in community-dwelling older adults.
Falls are one of the most common reasons for immobilisation and death in elderly population. This study aims at studying falls among a group of older people. The aim is to study the relation between movement patterns, balance performance, inner ear function and future falls. Senior member will be recruited through the non-profit association "Friskis&Svettis. Measures of movement patterns, balance performance and innear ear function will be measured at baseline. Falls will be monitored through falls diaries, collected every third month during a 12 month period.