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Aim: The aim of this study was to determine the fall risk amongst the elderly and to assess the effect of preventive rehabilitation. Study Design: This was a prospective pre–post study. Materials and Methods: Sixty patients attending the outpatient department were selected according to the inclusion and exclusion criteria. Timed up and go (TUG) test and functional reach test (FRT) and modified FRT were done to identify the risk groups. Appropriate preventive rehabilitation measures such as strengthening and balance exercises, footwear modifications and assistive aids along with treatment of the disease for which they approached the clinic were done. The study population was assessed after 2 weeks for fall risk using the same TUG and FRT. Results: A statistically significant reduction in fall risk was seen after appropriate rehabilitative strategies. Fall risk can be detected early by simple clinical tools such as TUG test and FRT. Conclusion: Simple clinical tools such as TUG test and FRT can be used for the early identification of fall risk amongst the elderly. This study establishes that a comprehensive preventive rehabilitation to the geriatric community with risk of fall can reduce the “fall risk” in the future and can also improve their functioning.

The measurement of Functional Reach Test (FRT) is a widely used assessment tool in various fields, including physical therapy, rehabilitation, and geriatrics. This test evaluates a person's balance, mobility, and functional ability to reach forward while maintaining stability. Recently, there has been a growing interest in utilizing sensor-based systems to objectively and accurately measure FRT results. This systematic review was performed in various scientific databases or publishers, including PubMed Central, IEEE Explore, Elsevier, Springer, the Multidisciplinary Digital Publishing Institute (MDPI), and the Association for Computing Machinery (ACM), and considered studies published between January 2017 and October 2022, related to methods for the automation of the measurement of the Functional Reach Test variables and results with sensors. Camera-based devices and motion-based sensors are used for Functional Reach Tests, with statistical models extracting meaningful information. Sensor-based systems offer several advantages over traditional manual measurement techniques, as they can provide objective and precise measurements of the reach distance, quantify postural sway, and capture additional parameters related to the movement. [ABSTRACT FROM AUTHOR]

The functional reach test (FRT) is a clinical tool used to evaluate dynamic balance and fall risk in older adults and those with certain neurological diseases. It provides crucial information for developing rehabilitation programs to improve balance and reduce fall risk. This paper aims to describe a new tool to gather and analyze the data from inertial sensors to allow automation and increased reliability in the future by removing practitioner bias and facilitating the FRT procedure. A new tool for gathering and analyzing data from inertial sensors has been developed to remove practitioner bias and streamline the FRT procedure. The study involved 54 senior citizens using smartphones with sensors to execute FRT. The methods included using a mobile app to gather data, using sensor-fusion algorithms like the Madgwick algorithm to estimate orientation, and attempting to estimate location by twice integrating accelerometer data. However, accurate position estimation was difficult, highlighting the need for more research and development. The study highlights the benefits and drawbacks of automated balance assessment testing with mobile device sensors, highlighting the potential of technology to enhance conventional health evaluations. [ABSTRACT FROM AUTHOR]

The functional reach test (FRT) is a clinical tool used to evaluate dynamic balance and fall risk in older adults and those with certain neurological diseases. It provides crucial information for developing rehabilitation programs to improve balance and reduce fall risk. This paper aims to describe a new tool to gather and analyze the data from inertial sensors to allow automation and increased reliability in the future by removing practitioner bias and facilitating the FRT procedure. A new tool for gathering and analyzing data from inertial sensors has been developed to remove practitioner bias and streamline the FRT procedure. The study involved 54 senior citizens using smartphones with sensors to execute FRT. The methods included using a mobile app to gather data, using sensor-fusion algorithms like the Madgwick algorithm to estimate orientation, and attempting to estimate location by twice integrating accelerometer data. However, accurate position estimation was difficult, highlighting the need for more research and development. The study highlights the benefits and drawbacks of automated balance assessment testing with mobile device sensors, highlighting the potential of technology to enhance conventional health evaluations.

In patients with diabetic polyneuropathy (DPN), differences in postural control due to losing the lower limb somatosensory information were reported. However, it is still unclear by which mechanisms the dynamic postural instability is caused. This study aimed to investigate postural control differences and neuromuscular adaptations resulting from foot somatosensory loss due to DPN. In this controlled cross-sectional study, fourteen DPN patients and fourteen healthy controls performed the Functional Reach Test (FRT) as a dynamic task. The postural control metrics were simultaneously measured using force plate, motion capture system, and surface electromyography (sEMG). The main metrics including reach length (FR), FR to height ratio (FR/H), displacement of CoM and CoP, moment arm (MA), and arch height ratio. Also, kinematic (range of motion of ankle, knee, and hip joints), and sEMG metrics (latencies and root mean square amplitudes of ankle and hallux muscles) were measured. To compare variables between groups, the independent sample T -test for (normally distributed) and the Mann-Whitney U test (non-normally distributed) were used. The subjects' reach length (FR), FR to height ratio, absolute MA, and displacement of CoM were significantly shorter than controls, while displacement of CoP was not significant. Arch height ratio was found significantly lower in DPN patients. We observed that CoM was lagging CoP in patients (MA = + 0.89) while leading in controls (MA = -1.60). Although, the muscles of patients showed significantly earlier activation, root mean square sEMG amplitudes were found similar. Also, DPN patients showed significantly less hip flexion, knee extension, and ankle plantar flexion. This study presented that decreasing range of motion at lower limbs' joints and deterioration in foot function caused poor performance at motor execution during FRT in DPN patients. • Diabetic polyneuropathy patients show poor performance during Functional Reach Test. • Impairment of foot function caused by diabetic polyneuropathy affects deterioration in posture. • Neuropathic patients demonstrate earlier muscle activation of ankle and toe muscles than controls. • The range of joint motion is significantly smaller in patients with Diabetic polyneuropathy during Functional Reach Test. [ABSTRACT FROM AUTHOR]

[Purpose] This study investigated the effect of controlled start position (CSP) on the reach distance distribution range (RDDR) in the functional reach test (FRT) in community-dwelling older adults. [Participants and Methods] The participants were 34 community-dwelling older adults. We compared the RDDR in CSP and non-CSP and analyzed the relationship between the mean reach distance (MRD) and the length of movement of the center of pressure (LMCOP). [Results] The RDDR in CSP condition was significantly lower than non-CSP condition. A significant positive correlation was observed only for CSP condition. In the non-CSP condition, MRD was not reflected in the LMCOP. [Conclusion] The FRT in the CSP effectively reflects the standing balance ability of community-dwelling older adults., Competing Interests: None., (2024©by the Society of Physical Therapy Science. Published by IPEC Inc.)