OBJECTIVE: To evaluate whether Multi-component exercise (MCE) is more effective than single exercise in improving walking ability in stroke patients.
METHODS: Systematic review and meta-analysis.
METHODS: A systematic search of PubMed, Embase, Web of Science, Cochrane Library, and CINAHL from the establishment of each database to February 2024 was performed. A combination of medical subject headings and free-text terms relating to stroke, exercise were searched.
METHODS: Randomized controlled trials treating stroke survivors with multi-component exercise were included. The control groups received conventional treatments such as conventional treatment or no intervention or sham training; the experimental groups received multi-component exercise. The outcome measures were walking endurance, gait speed and balance ability.
METHODS: The data extraction form was completed by two independent reviewers.The risk of bias was assessed using the Cochrane Risk of Bias tool for randomized Controlled Trials.Review Manager 5.4 software was used for data analysis.Subgroup analysis and sensitivity analysis were used to supplement the results with higher heterogeneity.The Preferred Reporting Project for Systematic Reviews and Meta-analyses 2020 guidelines were followed.
RESULTS: 12 studies were included. Meta-analyses found that compared with the control group,MCE significantly affected gait speed (MD = 0.11; 95%CI 0.06, 0.16, I2 = 0%), but the effect on balance ability was not statistically significant.Subgroup analysis showed that MCE (≥60 min) was effective in improving walking endurance. These results suggest that multi-component exercise improves walking endurance and walking speed in stroke patients.
CONCLUSIONS: Multi-component exercise helps improve the gait speed of stroke survivors. Prolonging the multi-component exercise time may have a better effect on improving the walking endurance of stroke patients.

UNASSIGNED: Gait speed is a valuable biomarker for mobility and overall health assessment. Existing methods to measure gait speed require expensive equipment or personnel assistance, limiting their use in unsupervised, daily-life conditions. The availability of smartphones equipped with a single inertial measurement unit (IMU) presents a viable and convenient method for measuring gait speed outside of laboratory and clinical settings. Previous works have used the inverted pendulum model to estimate gait speed using a non-smartphone-based IMU attached to the trunk. However, it is unclear whether and how this approach can estimate gait speed using the IMU embedded in a smartphone while being carried in a pants pocket during walking, especially under various walking conditions.
UNASSIGNED: This study aimed to validate and test the reliability of a smartphone IMU-based gait speed measurement placed in the user\'s front pants pocket in both healthy young and older adults while walking quietly (ie, normal walking) and walking while conducting a cognitive task (ie, dual-task walking).
UNASSIGNED: A custom-developed smartphone application (app) was used to record gait data from 12 young adults and 12 older adults during normal and dual-task walking. The validity and reliability of gait speed and step length estimations from the smartphone were compared with the gold standard GAITRite mat. A coefficient-based adjustment based upon a coefficient relative to the original estimation of step length was applied to improve the accuracy of gait speed estimation. The magnitude of error (ie, bias and limits of agreement) between the gait data from the smartphone and the GAITRite mat was calculated for each stride. The Passing-Bablok orthogonal regression model was used to provide agreement (ie, slopes and intercepts) between the smartphone and the GAITRite mat.
UNASSIGNED: The gait speed measured by the smartphone was valid when compared to the GAITRite mat. The original limits of agreement were 0.50 m/s (an ideal value of 0 m/s), and the orthogonal regression analysis indicated a slope of 1.68 (an ideal value of 1) and an intercept of -0.70 (an ideal value of 0). After adjustment, the accuracy of the smartphone-derived gait speed estimation improved, with limits of agreement reduced to 0.34 m/s. The adjusted slope improved to 1.00, with an intercept of 0.03. The test-retest reliability of smartphone-derived gait speed was good to excellent within supervised laboratory settings and unsupervised home conditions. The adjustment coefficients were applicable to a wide range of step lengths and gait speeds.
UNASSIGNED: The inverted pendulum approach is a valid and reliable method for estimating gait speed from a smartphone IMU placed in the pockets of younger and older adults. Adjusting step length by a coefficient derived from the original estimation of step length successfully removed bias and improved the accuracy of gait speed estimation. This novel method has potential applications in various settings and populations, though fine-tuning may be necessary for specific data sets.

BACKGROUND: A one-time gait speed measurement predicts mortality risk. A framework for updating a clinician\'s mortality risk perception with new information from each clinic visit is needed. We used joint modeling of longitudinal and survival data for dynamic prediction of mortality risk.
METHODS: We fit sex-stratified joint models to 20-meter (bi)annual longitudinal gait speed measured every 6 months and 14-year survival data from the Health, Aging and Body Composition Study allowing for non-linear fluctuations of gait speed and controlling for important covariates such as age, recent hospitalization, blood pressure, obesity, and comorbidities.
RESULTS: Participants (N = 3048) were 74 years old with gait speed 1.18 m/s. They were 42% Black, and 52% died over 14 years. Higher gait speed of 0.1 m/s was associated with 23% (95% confidence interval or CI = 20-25%) and 25% (CI = 21-28%) reductions in mortality risk in men and women; and a 0.05 m/s annualized slowing (slope) with 31% (CI = 13-51%) increase in men (all p < 0.05), with findings persisting after covariate adjustment. Distant gait speed history over a year prior contributed little for mortality risk prediction with mean change of only 1-2% in 5-year risk.
CONCLUSIONS: The two most recent gait speeds appear sufficient to consider for mortality risk in the present initial analysis. More frequent gait speeds need to be considered in mortality risk prediction before definitive conclusions supporting real-world application.

OBJECTIVE: i) to compare 30-s sit-to-stand (STS) test repetitions and power between older adults with and without Parkinson\'s disease (PD) and ii) to evaluate the relationship of STS repetitions and power with functional measures in older people with PD.
METHODS: STS repetitions and power (Alcazar\'s equation) during the 30-s STS test were assessed in forty-six age- and sex-matched older adults with and without PD. Functional measures included habitual (HGS) and maximum gait speed (MGS), timed-up-and-go (TUG) test and the Mini-Balance Evaluation System Test (Mini-BEST). PD-specific tests were as follows: the motor subscale of the Unified Parkinson\'s Disease Rating Scale (UPDRS-III), quality of life [Parkinson\'s Disease Questionnaire (PDQ-39)], perceived freezing of gait (FOG questionnaire), and fear of falling [Falls Efficacy Scale (FES)]. T scores, repeated measures ANOVA and linear regression analyses were used.
RESULTS: T scores for older adults with PD were - 2.7 ± 4.5 for STS repetitions, -5.2 ± 4.2 for absolute STS power, and - 3.1 ± 4.6 for relative STS power compared to older adults without PD. T scores for absolute STS power were lower than T scores for STS repetitions (p < 0.001) and relative STS power (p < 0.001). Both absolute and relative STS power and STS repetitions showed similar correlations with functional measures (r = 0.44 to 0.59; both p < 0.05). Relative STS power (r = -0.55; p < 0.05) and STS repetitions (r = -0.47 to -0.55; p < 0.05) but not absolute STS power were correlated to PD-specific tests.
CONCLUSIONS: STS repetitions and power values estimated through the 30-s STS test were lower in older people with PD than without PD. Overall, STS power measures were similarly associated with functional performance as STS repetitions, indicating these power equations can be implemented when assessing lower extremity function in older people with PD.

BACKGROUND: Worsening Heart Failure (WHF) is associated with adverse prognosis. Identifying novel prognostic markers in WHF is crucial. Gait speed (GS), a validated frailty index, is an easily obtainable parameter that may aid in reclassifying the risk of HF patients. We assessed the independent prognostic role of GS in WHF patients.
METHODS: We studied 171 patients with chronic HF with worsening congestion symptoms and inadequate response to standard therapies, requiring intravenous diuretic treatment. The primary outcome was a composite of all-cause mortality or HF hospitalization. We assessed the association and the incremental value of GS, as compared to other clinical confounders, with the primary outcome.
RESULTS: The mean age was 76±11 years, 66 % were male, median BNP was 481 pg/ml, and median ejection fraction was 40 %. Over a median follow-up of 11.3 months, 71 events occurred. Lower GS was significantly associated with a higher risk of events (HR of 4.03, 95 % CI 2.25-7.21), along with neutrophil to lymphocyte ratio, BNP, QRS duration, natremia, and previous myocardial infarction. When added to the MAGGIC risk score and the other significant confounders identified, GS significantly enhanced the model risk prediction (Harrell\'s C-index 0.75 vs 0.71, p < 0.001). At Classification And Regression Tree analysis, GS≤0.8 m/s was the first parameter to be considered to risk stratify the population.
CONCLUSIONS: GS, an easily obtainable marker of frailty, may contribute to improve the risk stratification of patients with WHF.

OBJECTIVE: Although horticultural therapy has been used successfully to reduce neuropsychiatric symptoms in elderly people with cognitive impairment, we do not yet know how it affects balance. The aim of our study was to determine the acceptability and effect of a 12-week horticultural therapy on balance and walking speed among institutionalized older adults with cognitive impairment.
METHODS: This mixed-methods controlled trial included 23 participants. Subjects in the experimental group (n=13) participated in a 60 min horticultural therapy programme twice a week for 12 weeks in addition to the institution\'s usual social activities. Subjects in the control group (n=10) participated in the institution\'s usual social activities. Static and dynamic balance were measured with the Performance Oriented Mobility Assessment scale. In addition, gait speed was measured. Qualitative data were collected through a semi-structured interview with participants of the experimental group.
RESULTS: At the end of the intervention period, the experimental maintained their baseline performance on the static balance, while the control group showed a decline. The gait speed of the experimental improved, while that of the control group did not change. In dynamic balance, no changes were demonstrated. The results of our qualitative data analysis indicate that horticultural therapy increases the possibility of social interactions, encourages older people to engage in conversation.
CONCLUSIONS: As a conclusion, horticultural therapy should be more widely included in programmes for older people with cognitive impairment.

For time-continuous analysis of gait, the problem of variations in cycle durations is resolved by normalizing to the gait cycle, but results depend on the definition of the cycle start. Gait cycle normalization ignores variations in gait phase durations, which results in averaging and comparing data across different phases. We propose gait phase normalization as part of a comprehensive method for independently analyzing magnitude and timing differences. First, gait phases are identified and differences in absolute and/or relative timing of phase durations or any point of interest between conditions or groups are analyzed using standard statistics. Next, time-continuous gait data is normalized to gait phases, and statistical parametric mapping (SPM) is used to assess magnitude differences in gait data. This approach is demonstrated on data recorded from ten young healthy adults walking on a treadmill at five different speeds. Sagittal knee angle was normalized to gait cycle or gait phase using five different gait cycle start events. Walking at different speeds resulted in significant changes in gait phase durations, highlighting a problem ignored by gait cycle normalization. SPM results for knee angle normalized to gait cycle varied from normalization to gait phases. Gait phase normalized SPM results were robust to the definition of the cycle start, in contrast to gait cycle normalized data. The approach of analyzing phase durations and normalizing data to gait phases overcomes previous limitations and enables a comprehensive analysis of magnitude and timing differences in time-continuous gait data and could be readily adapted to other tasks.

More than half of older adults are frail or prefrail in the United States, and hospital-associated deconditioning likely increases this risk. However, the impact of frailty on potential functional improvements after hospital discharge is poorly understood. We sought to identify the influence of baseline frailty on gait speed change in older adults receiving home health physical therapy (PT) after hospital discharge. The severity of frailty was assessed using Cardiovascular Health Study frailty criteria (weakness, slowness, weight loss, physical inactivity, and exhaustion). Gait speed was measured at baseline and 60-days post-hospital discharge. Upon admission to home health rehabilitation services, half of older adults (total N=250) were considered frail, with slowness (90%) and weakness (75%) being the most common characteristics. Older adults, whether pre-frail or frail, demonstrated similar and clinically meaningful improvements in gait speed after receiving home health rehabilitation for 60 days following hospital discharge. These results suggest that clinicians caring for older adults in the hospital can counsel both pre-frail and frail patients that, with home health rehabilitation, clinically significant improvements in function can be expected over the 2 months following discharge. Furthermore, we observed encouraging gait speed improvement with physical therapy following hospitalization in older adults. Results can inform anticipatory guidance on hospital discharge.

The ageing of the population needs the automation of patient monitoring. The objective of this is twofold: to improve care and reduce costs. Frailty, as a state of increased vulnerability resulting from several diseases, can be seen as a pandemic for older people. One of the most common detection tests is gait speed. This article compares the gait speed measured outdoors using smartphones with that measured using manual tests conducted in medical centres. In the experiments, the walking speed was measured over a straight path of 80 m. Additionally, the speed was measured over 2.4 m in the middle of the path, given that this is the minimum distance used in medical frailty tests. To eliminate external factors, the participants were healthy individuals, the weather was good, and the path was flat and free of obstacles. The results obtained are promising. The measurements taken with common smartphones over a straight path of 80 m are within the same order of error as those observed in the manual tests conducted by practitioners.

Background and Objectives: The majority of patients who undergo hip fracture surgery do not recover their former level of physical function; hence, it is essential to establish a specific rehabilitation strategy for maximal functional recovery of patients after a hip fracture. Knowing which indicators of physical function in hip fracture patients have a significant impact on the decision regarding the place or timing of discharge would make it possible to plan and prepare for discharge as soon as possible. Therefore, this study aimed to investigate the relationship between physical function and discharge destination for older adult patients with hip fracture. Materials and Methods: In this retrospective cohort study, 150 hip fracture patients (mean age 78.9 ± 10.6 years) between January 2019 and June 2021 were enrolled. Patients were categorized into two groups according to their discharge destination, either home or facility. Demographic and disease-related characteristic data were collected from the medical records. All the patients completed performance-based physical function tests including the 10 Meter Walk Test (10MWT), Timed Up and Go test (TUG), Koval\'s grade, and Berg Balance Scale (BBS) at the start of rehabilitation and at discharge. A backward stepwise binary logistic regression analysis was then performed to determine the independent factors of the discharge destination. Results: The home discharge group had a significantly lower Koval\'s grade, lower TUG, higher BBS both at baseline and discharge, and younger age. Backward stepwise logistic binary regression analysis showed that TUG, BBS, and 10MWT at baseline and discharge were significant variables affecting the discharge destination after hip fracture. Conclusions: These results demonstrate that balance and gait in older adult patients with hip fractures are highly influential factors in the determining the discharge destination.