Accelerometer-derived measures based on 3-day recordings are useful for evaluating fall risk as older adults perform daily living activities in their everyday home environment.

Frequency-derived measures are valid and sensitive estimates of stride-to-stride variability that can be used to assess the quality and consistency of walking in patients with PD in real-life settings.

BackgroundPatients with Parkinson's disease (PD) suffer from a high fall risk. Previous approaches for evaluating fall risk are based on self-report or testing at a given time point and may, therefore, be insufficient to optimally capture fall risk. We tested, for the first time, whether metrics derived from 3 day continuous recordings are associated with fall risk in PD.Methods and Materials107 patients (Hoehn & Yahr Stage: 2.6±0.7) wore a small, body-fixed sensor (3D accelerometer) on lower back for 3 days. Walking quantity (e.g., steps per 3-days) and quality (e.g., frequency-derived measures of gait variability) were determined. Subjects were classified as fallers or non-fallers based on fall history. Subjects were also followed for one year to evaluate predictors of the transition from non-faller to faller.ResultsThe 3 day acceleration derived measures were significantly different in fallers and non-fallers and were significantly correlated with previously validated measures of fall risk. Walking quantity was similar in the two groups. In contrast, the fallers walked with higher step-to-step variability, e.g., anterior-posterior width of the dominant frequency was larger (p = 0.012) in the fallers (0.78±0.17 Hz) compared to the non-fallers (0.71±0.07 Hz). Among subjects who reported no falls in the year prior to testing, sensor-derived measures predicted the time to first fall (p = 0.0034), whereas many traditional measures did not. Cox regression analysis showed that anterior-posterior width was significantly (p = 0.0039) associated with time to fall during the follow-up period, even after adjusting for traditional measures.Conclusions/SignificanceThese findings indicate that a body-fixed sensor worn continuously can evaluate fall risk in PD. This sensor-based approach was able to identify transition from non-faller to faller, whereas many traditional metrics were not successful. This approach may facilitate earlier detection of fall risk and may in the future, help reduce high costs associated with falls.

No abstract

Background Time to complete the Timed Up and Go (TUG), a test of mobility and fall risk, was recently associated with cognitive function. Objectives To assess whether different TUG subtasks are preferentially affected among older adults with mild cognitive impairment (MCI) and are specific to different cognitive abilities. Design Cross sectional study Setting Community and home setting Participants 347 older adults without dementia (mean 83.6±3.5yrs, 75% females, 19.3% MCI) participating in the Rush Memory and Aging Project. Measurements Subjects wore a small, light-weight sensor that measured acceleration and angular velocity while they performed the instrumented TUG (iTUG). Measures of iTUG were derived from 4 subtasks: walking, turning, sit-to-stand and stand-to-sit and compared between participants with no cognitive impairment (NCI) versus MCI. Results NCI and MCI did not differ in age, sex, years of education (p>0.44) or time to complete the TUG (NCI:7.6±3.7sec vs. MCI:8.4±3.7sec;p=0.12). MCI had less walking consistency (p=0.0091), smaller pitch range during transitions (p=0.005), lower angular velocity during turning, and required more time to complete the turn-to-walk (p=0.042). Gait consistency was correlated with perceptual speed (p=0.012) and turning was correlated with perceptual speed (p=0.024) and visual-spatial abilities (p=0.049). Conclusions MCI is associated with impaired performance on iTUG subtasks that cannot be identified when simply measuring overall duration of performance. Distinctive iTUG tasks were related to particular cognitive domains, demonstrating the specificity of motor-cognitive interactions. Using a single body worn sensor for quantify of mobility may facilitate our understanding of late-life gait impairments and their inter-relationship with cognitive decline.

Parkinson's disease (PD) is often divided into tremor dominant (TD) and postural instability gait difficulty (PIGD) subtypes. However, objective measures of gait (e.g., stride length, variability) and balance have not been well studied in these subtypes. To better understand these motor subtypes, we objectively quantified gait and balance and their behavioral correlates. 110 patients with PD underwent a clinical evaluation and were stratified into PIGD and TD subtypes. Participants walked under single and dual task conditions while wearing a single body-fixed sensor, both "OFF" and "ON" medications and at home for 3 days. We also examined performance-based tests of mobility, balance, and fall risk. Stricter criteria were also applied, dividing the subjects into predominant representative subgroups: p-PIGD and p-TD. Both the PIGD (n = 62) and TD (n = 42) groups and the p-PIGD (n = 31) and p-TD (n = 32) subgroups were similar with respect to basic disease characteristics (e.g., disease duration, p > 0.69). Surprisingly gait speed, stride length, and variability did not differ between the PIGD and TD groups (p > 0.05). In contrast, the p-PIGD group had reduced gait speed (under single and dual task conditions), shorter strides, increased stride variability, and decreased stride regularity (regularity: p-PIGD 0.66 ± 0.10; p-TD 0.74 ± 0.08; p = 0.003). The p-PIGD group also scored worse on performance-based tests, compared to the p-TD. Clinical assessments of the disturbances seen in patients with the PIGD subtype are not consistent with objective measures; overlapping between the groups is seen in many objective features of gait and balance. These findings suggest that the proposed alternate classification scheme may be useful.

Difficulty in turning while walking is common among patients with Parkinson’s disease (PD). This difficulty often leads to significant disability, falls, and loss of function; moreover, turning is a common trigger for freezing of gait (FoG). We hypothesized that the quantity and quality of turning mobility while walking during daily life would be different among subjects with PD with and without FoG. Here, we investigated, for the first time, the turning quality during daily life as it relates to FoG in people with PD using a single inertial sensor. Ninety-four subjects with PD (among whom 25 had FoG) wore an inertial sensor attached by a belt on the lower back during normal daily activity consecutively for 3 days. An algorithm identified periods of walking and calculated the number and quality metrics of turning. Quality, but not the quantity, of turning at home was different in freezers compared to the non-freezers. The number of turns (19.3 ± 9.2/30 min in freezers, 22.4 ± 12.9/30 min non-freezers; p = 0.194) was similar in the two groups. Some aspects of quality of turns, specifically mean jerkiness, mean and variability of medio-lateral jerkiness were significantly higher (p < 0.05) in the freezers, compared to non-freezers. Interestingly, subjects with FoG showed specific turning differences in the turns with larger angles compared to those without FoG. These findings suggest that turning during daily activities among patients with PD is impaired in subjects with FoG, compared to subject without freezing. As such, clinical decision-making and rehabilitation assessment may benefit from measuring the quality of turning mobility during daily activities in PD.

Previous studies conducted in laboratory settings suggest that the gait pattern in between freezing of gait (FOG) episodes is abnormal among patients with Parkinson's disease (PD) who suffer from FOG (i.e., "freezers"), compared to those who do not (i.e., "non-freezers"). We evaluated whether long-term recordings also reveal gait alterations in freezers and if these features were related to freezing severity and its impact on daily function. 72 patients with PD wore a 3-D accelerometer for 3 days. Acceleration-derived gait features included quantity (e.g., the amount of walking) and quality measures (e.g., gait variability). The New FOG-Questionnaire evaluated the subject's perceptions of FOG severity and its impact. Age, gender, and disease duration were similar (p > 0.19) in the 28 freezers and 44 non-freezers. Walking quantity was similar in the two groups, while freezers walked with higher gait variability (i.e., larger anterior-posterior power spectral density width; p = 0.003) and lower gait consistency (i.e., lower vertical stride regularity; p = 0.007). Group differences were observed when comparing the typical (i.e., median), best, and worst performance among the multiple walking bouts measured. Vertical and medio-lateral gait consistency were associated with the impact of FOG on daily living (r < -0.39, p < 0.044). The present findings demonstrate that freezers have altered gait variability and consistency during spontaneous community ambulation, even during optimal performance, and that these measures are associated with the impact of FOG on daily function. Long-term recordings may provide new insights into PD and augment the monitoring of FOG and its response to therapy.