Gait Parameters In Older Adults Research Articles

Association of Age with Dual-Task Objective Cognitive Indicators and Gait Parameters in Older Adults.

Early recognition of dementia like Alzheimer's disease is crucial for disease diagnosis and treatment, and existing objective tools for early screening of cognitive impairment are limited. To investigate age-related behavioral indicators of dual-task cognitive performance and gait parameters and to explore potential objective markers of early cognitive decline. The community-based cognitive screening data was analyzed. Hierarchical cluster analysis and Pearson correlation analysis were performed on the 9-item subjective cognitive decline (SCD-9) scores, walking-cognitive dual-task performance, walking speed, and gait parameters of 152 participants. The significant differences of indicators that may related to cognitive decline were statistically analyzed across six age groups. A mathematical model with age as the independent variable and motor cognition composite score as the dependent variable was established to observe the trend of motor cognition dual-task performance with age. Strong correlation was found between motor cognitive scores and SCD and age. Gait parameters like the mean value of ankle angle, the left-right difference rate of ankle angle and knee angle and the coefficient of variation of gait cycle showed an excellent correlation with age. Motor cognition scores showed a decreasing trend with age. The slope of motor cognition scores with age after 50 years (k = -1.06) was six times higher than that before 50 years (k = -0.18). Cognitive performance and gait parameters in the walking-cognitive dual-task state are promising objective markers that could characterize age-related cognitive decline.

Факторная структура показателей походки у пожилых мужчин и женщин

Ageing negatively affects the quality of walking. There is a relationship between old age and changes in the main spatiotemporal gait parameters. However, this relationship differs between men and women. The question of the influence of sex on postural balance remains relevant today, since conflicting data are found in various sources. The purpose of this research was to study sex-related differences in the factor structure of gait parameters in older adults. Materials and methods. The study involved 80 subjects aged 60–74 years. The mean age was 67.2 ± 2.1 years in the group of women (n = 40) and 67.4 ± 2.0 years in the group of men (n = 40). Gait was assessed using the computer-aided stabilometric complex Balance Manager. The following tests were performed: Sit-to-Stand, Walk Across, Tandem Walk, Step/Quick Turn, and Step-UpandOver. Results. Sex-related features of the factor structure of gait parameters in older adults were revealed. We established that the leading factor in the group of older women is the factor that combines the following parameters: time to execute a motor act (stepping over an obstacle) and speed of simple and tandem walking. In the group of older men, however, the leading factor combines the parameters of time, accuracy and muscle force when performing complex motor acts (turning while walking and stepping over an obstacle).

Assessing Gait & Balance in Adults with Mild Balance Impairment: G&B App Reliability and Validity.

Smartphone applications (apps) that utilize embedded inertial sensors have the potential to provide valid and reliable estimations of different balance and gait parameters in older adults with mild balance impairment. This study aimed to assess the reliability, validity, and sensitivity of the Gait&Balance smartphone application (G&B App) for measuring gait and balance in a sample of middle- to older-aged adults with mild balance impairment in Pakistan. Community-dwelling adults over 50 years of age (N = 83, 50 female, range 50-75 years) with a Berg Balance Scale (BBS) score between 46/56 and 54/56 were included in the study. Data collection involved securing a smartphone to the participant's lumbosacral spine. Participants performed six standardized balance tasks, including four quiet stance tasks and two gait tasks (walking looking straight ahead and walking with head turns). The G&B App collected accelerometry data during these tasks, and the tasks were repeated twice to assess test-retest reliability. The tasks in quiet stance were also recorded with a force plate, a gold-standard technology for measuring postural sway. Additionally, participants completed three clinical measures, the BBS, the Functional Reach Test (FRT), and the Timed Up and Go Test (TUG). Test-retest reliability within the same session was determined using intraclass correlation coefficients (ICCs) and the standard error of measurement (SEM). Validity was evaluated by correlating the G&B App outcomes against both the force plate data and the clinical measures using Pearson's product-moment correlation coefficients. To assess the G&B App's sensitivity to differences in balance across tasks and repetitions, one-way repeated measures analyses of variance (ANOVAs) were conducted. During quiet stance, the app demonstrated moderate reliability for steadiness on firm (ICC = 0.72) and compliant surfaces (ICC = 0.75) with eyes closed. For gait tasks, the G&B App indicated moderate to excellent reliability when walking looking straight ahead for gait symmetry (ICC = 0.65), walking speed (ICC = 0.93), step length (ICC = 0.94), and step time (ICC = 0.84). The TUG correlated with app measures under both gait conditions for walking speed (r -0.70 and 0.67), step length (r -0.56 and -0.58), and step time (r 0.58 and 0.50). The BBS correlated with app measures of walking speed under both gait conditions (r 0.55 and 0.51) and step length when walking with head turns (r = 0.53). Force plate measures of total distance wandered showed adequate to excellent correlations with G&B App measures of steadiness. Notably, G&B App measures of walking speed, gait symmetry, step length, and step time, were sensitive to detecting differences in performance between standard walking and the more difficult task of walking with head turns. This study demonstrates the G&B App's potential as a reliable and valid tool for assessing some gait and balance parameters in middle-to-older age adults, with promise for application in low-income countries like Pakistan. The app's accessibility and accuracy could enhance healthcare services and support preventive measures related to fall risk.

Effects of Physical Activity Program on Body Composition, Physical Performance, and Neuromuscular Strategies during Walking in Older Adults with Sarcopenic Obesity: Randomized Controlled Trial.

The potential impact of a specific physical activity program on biomechanical gait parameters and neuromuscular strategies around the ankle joint in older adults with sarcopenic obesity (SO) remains largely unexplored. The objective of this study was to investigate the effectiveness of a 24-week posture, strengthening, and motricity (PSM) program on improving neuromuscular strategies and biomechanical gait parameters in older adults with SO. 40 participants were randomly assigned to either the trained group (TG) and the control group (CG). Only the TG received the PSM program. Standardized evaluations were performed before and after the intervention, including walking tests on an instrumented gait analysis treadmill to evaluate biomechanical gait parameters and EMG activity of ankle muscles. After the PSM program, TG exhibited an increase in comfortable walking speed (+80%, p < 0.001) and step length (+38%, p < 0.05). Moreover, TG demonstrated a reduction in CoP velocity (-26%, p < 0.01). These gait modifications were associated with decreased muscle activity during the different gait phases (p < 0.05). The PSM program effectively improved gait and neuromuscular capacities in older adults with SO. Notably, these results shed light on the remarkable trainability of neuromuscular capacities in older adults with SO, despite the adverse effects of aging and obesity.

Relationship between Muscle Strength and Gait Parameters in Healthy Older Women and Men

Maintaining sufficient muscle strength is fundamental to prevent a decline in basic physical functions such as gait, and is therefore a prerequisite for a healthy independent life in older people. However, the relationship between gait parameters and the strength of single muscle groups is reported with inconclusive results. The objective of this study was to analyze the relationship of strength of nine single muscle groups of lower and upper leg muscles as well as handgrip strength for gait parameters in older adults. Sixty-nine independently living older adults participated in the study. Maximum ankle plantar- and dorsiflexion, knee flexion and extension, as well as hip abduction, adduction, flexion, and extension strength, were measured using an isokinetic dynamometer. Additionally, hand grip strength measured via a hand dynamometer was obtained. Walking gait parameters were recorded with a 3D motion capture system on an instrumented treadmill. The relationships between multiple strength and gait variables were analyzed by Pearson's correlation coefficient. Linear regression analyses were performed to identify the predictive ability of muscle strength (normalized to body weight) for gait speed, stride time, stance time, stride length and step width. Multiple significant weak to moderate positive ([r = 0.343, p = 0.047]-[r = 0.538, p = 0.002]) and negative ([r = -0.340, p = 0.046]-[r = 0.593, p = 0.001]) correlations that were unequally distributed between both sexes were detected. Significant regression models explained ([r2 = 16.6%, p = 0.015]-[r2 = 44.3 %, p = 0.003]) and ([r2 = 21.8%, p = 0.022]-[r2 = 36.1%, p = 0.044]) of the gait parameter variations for men and women, respectively. The results suggest a sex-specific relevance of single muscle groups for all gait parameters. This may be attributed to anatomical differences and it is important to prevent strength-related changes in gait parameters.

Effects of prolonged brisk walking induced lower limb muscle fatigue on the changes of gait parameters in older adults

BackgroundLower extremity muscle fatigue affects gait stability and increases the probability of injuries in the elderly. Research questionHow does prolonged walking-induced fatigue affect lower limb muscle activity, plantar pressure distribution, and tripping risk? MethodsEighteen elderly adults walked fast on a treadmill for 60 minutes at a fixed speed. The plantar pressure was measured with an in-shoe monitoring system, eight lower limb muscles were monitored using surface electromyography, and foot movements were tracked by a motion capture analysis system. The above data and participants’ subjective fatigue level feedback were collected every 5 minutes. Statistical analysis used the Friedman one-way repeated measures analysis of variance by ranks test followed by Wilcoxon signed-ranks test with Benjamini-Hochberg stepwise correction. ResultsThe subjective reported fatigue on the Borg scale increased gradually from 1 to 6 (p = 0.001) during the 60 minutes, while the EMG amplitude of vastus medialis significant decreased (p = 0.013). The results of plantar pressure demonstrated that the distribution of load and impulse shifted medially in both the heel and arch regions while shifted laterally in both the toes and metatarsal regions. The significantly increased contact area supports this shift at the medial arch (p = 0.036, increased by 6.94%, the 60th minute vs. the baseline). The symmetry of medial-lateral plantar force increased at the toes, metatarsal, and arch regions. The significantly increased parameters also include the swing time and contact time. The minimum foot clearance was reduced, increasing tripping probability, not significantly, though. SignificanceThis study facilitates a better understanding of changes in lower limb muscle activity and gait parameters during prolonged fast walking. Besides, this study has good guiding significance for developing smart devices based on plantar force, inertial measurement units, and EMG sensors to monitor changes in muscle activation in real-time and prevent tripping.

Does GERAS DANCE improve gait in older adults?

BackgroundOlder adults at increased fall risk walk slower with less rhythm and coordination. This study explored the effect of dance on spatiotemporal gait parameters in older adults. MethodsParticipants (N = 23) in a single-arm trial were enrolled in the 12-week GERAS DANCE program (total dose of 36 h). Gait was assessed at baseline and 12-weeks under two experimental conditions: normal walking or walking while performing serial subtraction by 3. Outcome measures were gait speed, stride length time, double support time, stride length and stride width. Separate two-way repeated measures ANOVAs were used to determine estimates of the magnitude of effect of GERAS DANCE on spatiotemporal gait parameters and a paired t-test was used to examine differences in cognitive performance before and after dance. ResultsOlder adults (72.50 ± 7.13 years; 75% female) had excellent attendance (82.73% adherence). GERAS DANCE resulted in increased gait speed (p<0.001), reduced stride length time (p = 0.034), reduced double support time (p = 0.001), increased stride length (p = 0.003) and marginally reduced stride width (p = 0.064), regardless of the experimental condition. Improvements in walking performance were observed with sustained performance on the serial subtraction task before and after GERAS DANCE. ConclusionsGERAS DANCE may be a safe and feasible program to help improve spatiotemporal gait parameters in older adults with early memory or mobility impairments. Next steps include testing the efficacy for fall prevention to help inform clinical practice guidelines and virtual intervention implementation.

Depth-Imaging for Gait Analysis on a Treadmill in Older Adults at Risk of Falling.

Accidental falls are a major health issue in older people. One significant and potentially modifiable risk factor is reduced gait stability. Clinicians do not have sophisticated kinematic options to measure this risk factor with simple and affordable systems. Depth-imaging with AI-pose estimation can be used for gait analysis in young healthy adults. However, is it applicable for measuring gait in older adults at a risk of falling? In this methodological comparison 59 older adults with and without a history of falls walked on a treadmill while their gait pattern was recorded with multiple inertial measurement units and with an Azure Kinect depth-camera. Spatiotemporal gait parameters of both systems were compared for convergent validity and with a Bland-Altman plot. Correlation between systems for stride length (r=.992, [Formula: see text]) and stride time (r=0.914, [Formula: see text]) was high. Bland-Altman plots revealed a moderate agreement in stride length (-0.74 ± 3.68 cm; [-7.96 cm to 6.47 cm]) and stride time (-3.7±54 ms; [-109 ms to 102 ms]). Gait parameters in older adults with and without a history of falls can be measured with inertial measurement units and Azure Kinect cameras. Affordable and small depth-cameras agree with IMUs for gait analysis in older adults with and without an increased risk of falling. However, tolerable accuracy is limited to the average over multiple steps of spatiotemporal parameters derived from the initial foot contact. Clinical Translation Statement- Gait parameters in older adults with and without a history of falls can be measured with inertial measurement units and Azure Kinect. Affordable and small depth-cameras, developed for various purposes in research and industry, agree with IMUs in clinical gait analysis in older adults with and without an increased risk of falling. However, tolerable accuracy to assess function or monitor changes in gait is limited to the average over multiple steps of spatiotemporal parameters derived from the initial foot contact.

Lower myelin content is associated with poorer gait variability in older adults with cerebral small vessel disease and mild cognitive impairment

AbstractBackgroundMobility decline is often observed in individuals with cerebral small vessel disease (cSVD). Loss of myelin in the cerebral white matter is a common feature of cSVD and could be one of the mechanisms contributing to poor mobility; however, this hypothesis remains to be tested. Using myelin water fraction (MWF), we investigated whether myelin content is associated with gait parameters in older adults with cSVD.MethodCross‐sectional data from individuals with cSVD and mild cognitive impairment were analyzed. Myelin content was assessed via MRI multi‐echo gradient and spin echo T2 relaxation sequence, indexed as myelin water fraction (MWF). Gait parameters were measured using an electronic walkway. Hierarchical regression models adjusting for total intracranial volume, age, sex, body mass index, and Mini‐Mental State Examination were conducted to determine the associations between MWF and gait parameters. Significant models were further adjusted for white matter hyperintensity burden.ResultSixty‐four participants were included (mean [SD], age = 75.2y [5.4], 62.5% female). In adjusted models, lower MWF in the cingulum (Unstandardized B (95% CI): ‐5.12 [‐9.21 to ‐1.04], R2change = 0.09, Fchange = 6.31, pchange = 0.015), superior longitudinal fasciculus (‐3.79 [‐7.29 to ‐0.29], R2change = 0.07, Fchange = 4.70, pchange = 0.034), posterior corona radiata (‐4.86 [‐9.45 to ‐0.27], R2change = 0.07, Fchange = 4.49, pchange = 0.039), and body of the corpus callosum (‐4.19 [‐8.19 to ‐0.20], R2change = 0.06, Fchange = 4.41, pchange = 0.040) was associated with higher cycle time variability. White matter hyperintensity burden weakened these associations.ConclusionIn older adults with cSVD, Lower myelin content in specific white matter tracts may contribute to higher gait variability, increasing the overall risk of mobility impairment.

Myelin Content and Gait Impairment in Older Adults with Cerebral Small Vessel Disease and Mild Cognitive Impairment

We investigated whether myelin is associated with gait parameters in older adults with cerebral small vessel disease (cSVD). Cross-sectional data from sixty-four participants with cSVD and mild cognitive impairment were analyzed. Myelin was assessed via MRI multi-echo gradient and spin echo T2 relaxation sequence, indexed as myelin water fraction (MWF). Gait was assessed using an electronic walkway. Hierarchical regression models adjusting for total intracranial volume, age, sex, Mini-Mental State Examination, and body mass index were conducted to determine associations between MWF and gait parameters. Significant models were further adjusted for white matter hyperintensities. Sixty-four participants were included (mean [SD], age = 75.2y [5.4], 62.5% female). In adjusted models, lower MWF in the cingulum (p = 0.015), superior longitudinal fasciculus (p = 0.034), posterior corona radiata (p = 0.039), and body of the corpus callosum (p = 0.040) was associated with higher cycle time variability. White matter hyperintensities weakened these associations. Lower myelin in specific white matter tracts may contribute to higher gait variability, increasing the overall risk of mobility impairment.

Effect of Treadmill Training Interventions on Spatiotemporal Gait Parameters in Older Adults with Neurological Disorders: Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Objective: Treadmill interventions have been shown to promote ‘normal’ walking patterns, as they facilitate the proper movement and timing of the lower limbs. However, prior reviews have not examined which intervention provides the most effective treatment of specific gait impairments in neurological populations. The objective of this systematic review was to review and quantify the changes in gait after treadmill interventions in adults with neurological disorders. Data Sources: A keyword search was performed in four databases: PubMed, CINAHL, Scopus, and Web of Science (January 2000–December 2021). We performed the search algorithm including all possible combinations of keywords. Full-text articles were examined further using forward/backward search methods. Study Selection: Studies were thoroughly screened using the following inclusion criteria: study design: Randomized Controlled Trial (RCT); adults ≥55 years old with a neurological disorder; treadmill intervention; spatiotemporal gait characteristics; and language: English. Data Extraction: A standardized data extraction form was used to collect the following methodological outcome variables from each of the included studies: author, year, population, age, sample size, and spatiotemporal gait parameters including stride length, stride time, step length, step width, step time, stance time, swing time, single support time, double support time, or cadence. Data Synthesis: We found a total of 32 studies to be included in our systematic review through keyword search, out of which 19 studies included adults with stroke and 13 studies included adults with PD. We included 22 out of 32 studies in our meta-analysis that examined gait in adults with neurological disorders, which only yielded studies including Parkinson’s disease (PD) and stroke patients. A meta-analysis was performed among trials presenting with similar characteristics, including study population and outcome measure. If heterogeneity was >50% (denoted by I2), random plot analysis was used, otherwise, a fixed plot analysis was performed. All analyses used effect sizes and standard errors and a p < 0.05 threshold was considered statistically significant (denoted by *). Overall, the effect of treadmill intervention on cadence (z = 6.24 *, I2 = 11.5%) and step length (z = 2.25 *, I2 = 74.3%) in adults with stroke was significant. We also found a significant effect of treadmill intervention on paretic step length (z = 2.34 *, I2 = 0%) and stride length (z = 6.09 *, I2 = 45.5%). For the active control group, including adults with PD, we found that overground physical therapy training had the largest effect on step width (z = −3.75 *, I2 = 0%). Additionally, for PD adults in treadmill intervention studies, we found the largest significant effect was on step length (z = 2.73 *, I2 = 74.2%) and stride length (z = −2.54 *, I2 = 96.8%). Conclusion: Treadmill intervention with sensory stimulation and body weight support treadmill training were shown to have the largest effect on step length in adults with PD and stroke.

Intra-assessor reliability and measurement error of ultrasound measures for foot muscle morphology in older adults using a tablet-based ultrasound machine

BackgroundTo gain insight into the role of plantar intrinsic foot muscles in fall-related gait parameters in older adults, it is fundamental to assess foot muscles separately. Ultrasonography is considered a promising instrument to quantify the strength capacity of individual muscles by assessing their morphology. The main goal of this study was to investigate the intra-assessor reliability and measurement error for ultrasound measures for the morphology of selected foot muscles and the plantar fascia in older adults using a tablet-based device. The secondary aim was to compare the measurement error between older and younger adults and between two different ultrasound machines.MethodsUltrasound images of selected foot muscles and the plantar fascia were collected in younger and older adults by a single operator, intensively trained in scanning the foot muscles, on two occasions, 1–8 days apart, using a tablet-based and a mainframe system. The intra-assessor reliability and standard error of measurement for the cross-sectional area and/or thickness were assessed by analysis of variance. The error variance was statistically compared across age groups and machines.ResultsEighteen physically active older adults (mean age 73.8 (SD: 4.9) years) and ten younger adults (mean age 21.9 (SD: 1.8) years) participated in the study. In older adults, the standard error of measurement ranged from 2.8 to 11.9%. The ICC ranged from 0.57 to 0.97, but was excellent in most cases. The error variance for six morphology measures was statistically smaller in younger adults, but was small in older adults as well. When different error variances were observed across machines, overall, the tablet-based device showed superior repeatability.ConclusionsThis intra-assessor reliability study showed that a tablet-based ultrasound machine can be reliably used to assess the morphology of selected foot muscles in older adults, with the exception of plantar fascia thickness. Although the measurement errors were sometimes smaller in younger adults, they seem adequate in older adults to detect group mean hypertrophy as a response to training. A tablet-based ultrasound device seems to be a reliable alternative to a mainframe system. This advocates its use when foot muscle morphology in older adults is of interest.

A Wearable Biofeedback Device to Increase Gait Swing Time Could Have Positive Effects on Gait among Older Adults.

Older adults walk with a shorter stride length, reduced hip range of motion (ROM) and higher cadence. These are signs of reductions in walking ability. This study investigated whether using a wireless smart insole system that monitored and provided biofeedback to encourage an extension of swing time could increase stride length and hip flexion, while reducing the cadence. Seven older adults were tested in this study, with and without the biofeedback device, in an outdoor environment. Gait analysis was performed by using GaitRite system and Xsens MVN. Repeated measures analysis demonstrated that with biofeedback, the swing time increased by 6.45%, stride length by 4.52% and hip flexion by 14.73%, with statistical significance. It also decreased the cadence significantly by 5.5%. This study has demonstrated that this smart insole system modified positively the studied gait parameters in older adults and has the potential to improve their walking ability.

Effect of Video assisted Home-Based exercise intervention on fall risk and gait parameters in older adults in India

Countries across the globe recommended isolation to protect older adults from COVID-19 infection. However, this led to decreased mobility and physical inactivity potentially increasing their risk of fall. The study was conducted in a group of 88 older adults between 60-74 years with known gait impairments and high fall risk. The participants were part of our cohort study on fall prevention program. Fall risk and gait impairments were measured using wearable sensors during the Timed-up and go test (TUG) at baseline. Using technology, a 16-week video assisted home based exercises intervention was delivered to reduce fall risk and improve gait parameters. The intervention consisted of flexibility, strengthening, balance and gait training exercises given progressively through one video session per week. The participants performed these exercises at home for the rest of the week. A home visit immediately after 16th week was arranged to collect post intervention parameters. Results showed an average 20% decrease in fall risk post intervention. An overall large effect size with Cohen’s d of 0.90 was reported for fall risk. Significant difference in TUG time (Z = -4.610, p< 0.000), stride velocity (Z= -5.035, p<0.000), stride length (Z = -5.867, p<0.000), time taken to stand (Z = -7.363, p<0.000) and time taken to turn (Z = -6.079, p<0.000) was observed in the post-test measurements as compared to pre-test measurements. Therefore, we conclude that video assisted exercise programs can be highly beneficial as alternatives to in person exercise intervention to prevent falls during COVID-19 isolation.

The Effects of a Walking Intervention on Gait Parameters in Older Adults Residing in Long-Term Care: A Randomized Controlled Trial.

We examined the effects of a walking intervention in older adults residing in long-term care (LTC) homes on gait velocity (primary outcome), and stride length, cadence and heel-to-heel base of support (secondary outcomes) compared to those in an interpersonal interaction control group and a care-as-usual control group at 16-weeks post-intervention. These previously unpublished gait data were collected as part of a larger prospective, randomized, three group study. One hundred and sixty-eight participants residing in 12 LTC homes were randomized into: a) a walking group (n=57) - 1:1 supervised, individualized, progressive, 30 minutes, five times a week walking program for 16 weeks; b) an interpersonal interaction group (n=55) - stationary 1:1 conversation time with research personnel; and, c) a care-as-usual control group (n=56). Gait was assessed at baseline and 16-weeks post-intervention using the GAITRite® computerized system. One-way Analysis of Covariance (ANCOVA), controlling for age, sex, cognitive status and baseline gait parameter (velocity, stride length, cadence, heel-to-heel base of support) was used to examine differences among groups for velocity, stride length, cadence, and heel-to-heel base of support at 16-weeks post-intervention. Ninety-one participants with available data were included in this analysis: walking group (n=31/57, mean age=82.77±6.75 years); interpersonal interaction group (n=31/55, mean age=82.74±9.27 years); care-as-usual control group (n=29/56, mean age=85.40±8.78 years). ANCOVA showed a significant difference in the mean gait velocity at 16-weeks post-intervention [F(2, 84) =6.99, p=0.0006); η2 (95%CI)=0.16 (0.02, 0.27)]. Post hoc comparisons using Sidak test showed that the estimated marginal mean (EMM) for velocity for the walking group [EMM (SE), 0.51m/s (0.03)] was significantly higher compared to the interpersonal interaction group [EMM (SE), 0.38m/s (0.03); t(83)=3.15, p=0.007] and the care-as-usual control group [EMM (SE), 0.38m/s (0.03)]; t(83)=3.32, p=0.004]. No significant difference was observed between groups for stride length, cadence or heel-to-heel base of support. LTC residents with limited physical functioning showed significant improvement in gait velocity but not in stride length, cadence or heel-to-heel base of support after a 16-week walking intervention.

Concurrent validity of human pose tracking in video for measuring gait parameters in older adults: a preliminary analysis with multiple trackers, viewing angles, and walking directions

BackgroundMany of the available gait monitoring technologies are expensive, require specialized expertise, are time consuming to use, and are not widely available for clinical use. The advent of video-based pose tracking provides an opportunity for inexpensive automated analysis of human walking in older adults using video cameras. However, there is a need to validate gait parameters calculated by these algorithms against gold standard methods for measuring human gait data in this population.MethodsWe compared quantitative gait variables of 11 older adults (mean age = 85.2) calculated from video recordings using three pose trackers (AlphaPose, OpenPose, Detectron) to those calculated from a 3D motion capture system. We performed comparisons for videos captured by two cameras at two different viewing angles, and viewed from the front or back. We also analyzed the data when including gait variables of individual steps of each participant or each participant’s averaged gait variables.ResultsOur findings revealed that, i) temporal (cadence and step time), but not spatial and variability gait measures (step width, estimated margin of stability, coefficient of variation of step time and width), calculated from the video pose tracking algorithms correlate significantly to that of motion capture system, and ii) there are minimal differences between the two camera heights, and walks viewed from the front or back in terms of correlation of gait variables, and iii) gait variables extracted from AlphaPose and Detectron had the highest agreement while OpenPose had the lowest agreement.ConclusionsThere are important opportunities to evaluate models capable of 3D pose estimation in video data, improve the training of pose-tracking algorithms for older adult and clinical populations, and develop video-based 3D pose trackers specifically optimized for quantitative gait measurement.

Usual and dual-task gait adaptations under visual stimulation in older adults at different ages.

During the walk along the streets, older adults are exposed to various visual stimuli that can affect their gait in a harmful or beneficial way. To evaluate gait strategies during different situations with and without visual stimulation in older adults to identify the influence of the visual stimulus on these gait parameters. A total of 200 older adults were divided into 4 groups according to age range between 60 and 102years. Gait was evaluated in the following situations: (1) habitual gait (HG); (2) gait with the visual stimulation (GVS) provided by a pedestrian traffic light, and (3) GVS associated with a cognitive task (GVS-C). The GAITRite Platinum equipment was used to assess gait variables. Comparison of GVS and HG revealed that the visual stimulus influences the gait parameters and promotes a gait speed increase. However, to increase their gait speed, older adults aged 60-89years used strategies of increased step length and cadence, whereas subjects older than 90years used only strategies of increased cadence. In addition, comparison of GVS and GVS-C revealed a decrease in gait speed in all age ranges when the cognitive task was added, although this reduction was more pronounced in subjects older than 70years. Visual stimulus influences the gait parameters in older adults and the strategy used is different depending on their age, a fact that shows that traffic light may be an interesting strategy to improve the gait performance during physical therapy.

Music therapy intervention in community-dwelling older adults with mild cognitive impairment: A pilot study

The purpose of the pilot study was twofold, seeking to investigate both the feasibility and preliminary effects of a music therapy intervention on the global cognitive state (attention, immediate and delayed memory, and executive function) and gait parameters (gait velocity, cadence, and right and left stride length) in older adults with mild cognitive impairment (MCI). Sixteen participants attended the one-hour music therapy sessions three times a week for 12 weeks. The intervention was feasible, achieving a retention rate of 84%. Significant effects were found in global cognitive state (p = .001), attention (p = .007), immediate memory (p < .001), delayed memory (p = .001), executive function (p = .002), gait velocity (p = .021), right stride length (p = .007), and left stride length (p = .014). These results suggest that music therapy intervention is a potentially innovative strategy for improving cognition and gait parameters in older adults with MCI.

Assessing gait parameters with accelerometer-based methods to identify older adults at risk of falls: a systematic review.

The purpose of this study was to perform a systematic review to assess the utility of accelerometric methods to identify older adults at risk of falls. The Preferred Reporting Item for Systematic review and Meta-Analysis (PRISMA) guidelines were followed during all steps of this systematic review. Cross sectional and longitudinal studies assessing gait parameters in older adults using accelerometric devices, and comparing groups based on the risk of falls or fall history were identified from studies published in the MEDLINE, SCOPUS and Cochrane Database of Systematic Reviews databases between January 1996 and January 2017. Study selection and data extraction were performed independently by two reviewers. The quality of the methodology used in the studies included was assessed using the Newcastle-Ottawa Scale. In total, 354 references were identified through the database search. After selection, ten studies were included in this systematic review. According to the cross sectional studies, people who fall or are at risk of fall are slower, and walk with shorter steps, lower step frequency, worse stride and step regularity in terms of time, position and acceleration profiles. One longitudinal study suggests considering harmonic ratio of upper trunk acceleration in the vertical plane. Two other longitudinal studies highlight the importance of considering more than one gait parameter, and sophisticated statistical tools to discern older adults at risk for future fall(s). This systematic review essentially highlights the lack of available literature providing strong evidence that gait parameters obtained using acceleration-based methods could be useful to discern older people at risk of fall. Available literature is encouraging, but further high quality studies are needed to highlight the cross-sectional and longitudinal relationships between gait parameters and falls in older adults.

The Effects of Ridged Perimeter Insoles on Gait Parameters in Older Adults

Investigated: The effects of prolonged ridged perimeter insole use on gait parameters in older adults. Methods: Twenty-two older adults were tested at baseline and after 6 weeks of insole wear using an instrumented walkway to determine the effects of insole wear on double limb support and gait velocity. Conclusions: Ridged perimeter insoles have a positive effect on gait characteristics when ambulating on level surface terrain. A statistically significant difference in double limb support time (P = .0297) was found. Gait velocity was not found to be statistically significant (P = .0947) but did demonstrate a mean increase of 0.06 m/s from baseline to 6 weeks.