OBJECTIVE: Lower extremity physical function (LEPF) is a key component for mobility and is impacted in stroke-related disability. A reduction in LEPF can have a significant impact on an individual\'s Quality of Life (QoL). The aim of this study is to characterise the relationship between LEPF and QoL.
METHODS: The MOBITEC-Stroke Study is a longitudinal cohort-study including patients with their first occurrence of ischaemic stroke. Using a linear mixed-effects model, the relationship between LEPF (timed up-and-go performance (TUG); predictor) and QoL (Stroke Specific Quality of Life scale (SS-QoL); outcome) at 3 and 12 months post stroke was investigated and adjusted for sex, age, Instrumental Activities of Daily Living (IADL), fear of falling (Falls Efficacy Scale-International Version, FES-I), and stroke severity (National Institute of Stroke Severity scale, NIHSS), accounting for the repeated measurements.
RESULTS: Data of 51 patients (65 % males, 35% females) were analysed. The mean age was 71.1 (SD 10.4) years, median NIHSS score was 2.0. SS-QoL was 201.5 (SD 20.5) at 3 months and 204.2 (SD 17.4) at 12 months; the mean change was 2.7 (95% CI -2.4 to 7.7), p= 0.293. A positive association was found between baseline TUG performance (estimate log score -13.923; 95% CI -27.495 to -0.351; p=0.048) and change in SS-QoL score in multivariate regression analysis.
CONCLUSIONS: Higher LEPF (i.e better TUG performance) at baseline, was associated with an improvement in QoL from 3- to 12-months post stroke. These results highlight the critical role of physical function, particularly baseline LEPF, in influencing the QoL of stroke survivors.

BACKGROUND: Fatigue is a common symptom in patients with multiple sclerosis and it can lead to activity limitations. Thus, it is important to analyze the relationship between fatigue and activity outcomes, such as walking speed and mobility.
OBJECTIVE: To investigate the relationship between fatigue and walking speed and mobility in individuals with multiple sclerosis.
METHODS: A cross-sectional study was performed. Adults with multiple sclerosis, without cognitive impairments and who were able to walk were recruited. Fatigue was assessed with the Modified Fatigue Impact Scale (MFIS). Walking speed, usual and fast, was assessed with the 10-meter Walk Test (10MWT), and mobility with the Timed Up and Go Test (TUG). Pearson correlation analysis was performed. A significance level of 5 % was used.
RESULTS: Thirty participants were included, most of the relapsing-remitting multiple sclerosis (n = 24, 80 %). A mean age of 41 (11) years and the median Expanded Disability Status Scale (EDSS) score was 2.65 (2.18) points. Mean MFIS score was 41.87 ± 19.42 points, mean usual walking speed was 1.02 ± 0.28 m/s, mean fast walking speed was 1.55 ± 0.48 m/s, and the mean total time in the TUG was 10.07 ± 3.05 s. A significant negative correlation of moderate magnitude was found between fatigue and usual walking speed (r=₋0.51, p < 0.05). A significant negative correlation of moderate magnitude was found between fatigue and fast walking speed (r=₋0.54, p < 0.05). A significant, positive correlation of moderate magnitude was found between fatigue and mobility (r = 0.54, p < 0.05).
CONCLUSIONS: There was a correlation between fatigue and walking speed and mobility in individuals with multiple sclerosis. These results highlight the need to assess fatigue in individuals with multiple sclerosis, since the presence of fatigue is associated with reduced walking speed and mobility.

UNASSIGNED: This study aims to: 1) Explore the mobility experiences of seniors with slow walking speeds (SSWS) in urban neighborhoods; and 2) Investigate their environmental barriers and supports.
UNASSIGNED: Go-along interviews were conducted with 36 SSWS residing in urban neighborhoods of Chongqing City, China. The mobility patterns and built environment factors influencing their mobility were revealed through cartographic analysis and thematic analysis.
UNASSIGNED: SSWS primarily focused their activities within a 400-meter radius of their homes. Built environment themes included topography, neighborhood services, sidewalks, seating, traffic safety, weather, greenery, and lighting. Significant mobility barriers included long stairs, steep slopes, fast-moving objects on sidewalks, road crossings, and fast traffic. Available handrails, nearby food-service places, ample seating, and greenery were identified as supportive factors for their mobility.
UNASSIGNED: This study stands out as the first to specifically examine the mobility of SSWS within the built environment. We suggest that SSWS should be taken into account when establishing a benchmark for general design frameworks. These improvements not only contribute to the mobility of slow walkers but also have positive impacts on the broader population.

OBJECTIVE: To compare the effects of Yoga with traditional exercise on the mobility and functional capacity of individuals with ankylosing spondylitis (AS).
METHODS: The participants of the study were recruited at the rheumatology department, adhering to the study\'s inclusion and exclusion criteria. Participants were randomized into two groups (Group A - Yoga, and Group B - exercise).The candidates participated in an 8-week intervention consisting of 3 weekly sessions of either Yoga or Exercise intervention. Outcomes were collected at pre-treatment, at 8 weeks, and at 12 weeks.
RESULTS: The within-group comparison showed an improvement in all outcome measures with p < .05 between post-treatment and the follow-up. In the yoga group, there was an improvement in the measures of BASMI (p = .001), BASFI (p = .005), PSQI (p = .021), CE (p = .053) and NPRS (p = .001). Similarly, in the exercise group, there was an improvement in BASMI (p = .002), BASFI (p = .003), PSQI (p = .010), CE (p = .004) and NPRS (p = .001). In the between group comparison at post-treatment, there were no statistically significant differences in BASMI (yoga = 3.0 ± 1.50, exercise = 2.3 ± 1.38), PSQI (yoga = 5.3 ± 1.50, exercise = 4.9 ± 1.17) and NPRS (yoga = 1.3 ± 2.22, exercise = 0.4 ± 0.50) CE (yoga = 4.0 ± 1.18, exercise = 3.4 ± 0.96), BASFI (yoga = 1.8 ± 2.14, exercise = 2.1 ± 1.87).
CONCLUSIONS: The results demonstrated a statistically significant improvement in within-group scores of mobility, functional capacity, sleep quality and pain in AS patients of both intervention programs but there were no significant differences between the groups.

As age increases, a decline in lower extremity strength leads to reduced mobility and increased fall risks. This decline outpaces the age-related reduction in muscle mass, resulting in mobility limitations. Older adults with varying degrees of mobility-disability use different stepping strategies. However, the link between functional lower extremity strength and stepping strategy is unknown. Therefore, understanding how age-related reductions in functional lower extremity strength influence stepping strategy is vital to unraveling mobility limitations. Twenty participants (17F, 72 ± 6 years) were recruited and tested at a local community event. Participants were outfitted with inertial measurement units (IMU) and walked across a pressurized walkway under single and dual motor task conditions (walking with and without carrying a tray with water) at their usual and fast speeds. Participants were dichotomized into normal (11) or low functional strength groups (9) based on age-specific normative cutoffs using the instrumented 5-repetition Sit-to-Stand test duration. Our study reveals that older adults with normal strength prefer adjusting their step time during walking tasks, while those with reduced strength do not exhibit a preferred stepping strategy. This study provides valuable insights into the influence of functional lower extremity strength on stepping strategy in community-dwelling older adults during simple and complex walking tasks. These findings could aid in diagnosing gait deviations and developing appropriate treatment or management plans for mobility disability in older adults.

This study aimed to investigate the different impacts of sensorial and mobility frailty on overall and domain-specific cognitive function. Further, the independent associations between other intricate capacity (IC) dimensions, including vitality and psychological dimensions, and overall and domain-specific cognitive function were investigated. A total of 429 participants (mean age, 72.91 ± 7.014 years; 57.30% female) underwent IC capacity assessment. Other covariates, such as demographics, health-related variables were also assessed. Overall or domain-specific cognitive impairment was used as a dependent variable in logistic regression analyses adjusted for demographic, health-related, and psychosocial confounders. After adjustment for demographic, health-related, and psychosocial confounders, individuals with sensorial frailty (odds ratio [OR] = 0.435; 95% confidence interval [CI] = 0.236-0.801; P = .008) had a significantly lower risk of mild cognitive impairment (MCI), marginally low delayed memory impairment (OR = 0.601, 95% CI = 0.347-1.040; P = .069), and language impairment (OR = 0.534, 95% CI = 0.305-0.936; OR = 0.318, P = .029; OR = 0.318,95% CI = 0.173-0.586; P < .001) by Boston naming and animal fluency tests than did those with both sensorial and mobility frailty or mobility frailty only. Depressive symptoms had a significant negative influence on executive function. Cardiovascular disease and non-skin malignancy were independent determinants of MCI, and diabetes mellitus was independently associated with processing speed, attention, and executive function. Sensorial and mobility frailty were independent risk factors for cognitive impairment. Mobility frailty had a greater negative influence on the overall cognitive function and memory and language function than did sensorial frailty. The reserve decline in the psychological dimension of IC and chronic diseases also had a significant adverse influence on overall and domain-specific cognition function.

UNASSIGNED: Walking is important for maintaining physical and mental well-being in aged residential care (ARC). Walking behaviors are not well characterized in ARC due to inconsistencies in assessment methods and metrics as well as limited research regarding the impact of care environment, cognition, or physical function on these behaviors. It is recommended that walking behaviors in ARC are assessed using validated digital methods that can capture low volumes of walking activity.
UNASSIGNED: This study aims to characterize and compare accelerometry-derived walking behaviors in ARC residents across different care levels, cognitive abilities, and physical capacities.
UNASSIGNED: A total of 306 ARC residents were recruited from the Staying UpRight randomized controlled trial from 3 care levels: rest home (n=164), hospital (n=117), and dementia care (n=25). Participants\' cognitive status was classified as mild (n=87), moderate (n=128), or severe impairment (n=61); physical function was classified as high-moderate (n=74) and low-very low (n=222) using the Montreal Cognitive Assessment and the Short Physical Performance Battery cutoff scores, respectively. To assess walking, participants wore an accelerometer (Axivity AX3; dimensions: 23×32.5×7.6 mm; weight: 11 g; sampling rate: 100 Hz; range: ±8 g; and memory: 512 MB) on their lower back for 7 days. Outcomes included volume (ie, daily time spent walking, steps, and bouts), pattern (ie, mean walking bout duration and alpha), and variability (of bout length) of walking. Analysis of covariance was used to assess differences in walking behaviors between groups categorized by level of care, cognition, or physical function while controlling for age and sex. Tukey honest significant difference tests for multiple comparisons were used to determine where significant differences occurred. The effect sizes of group differences were calculated using Hedges g (0.2-0.4: small, 0.5-0.7: medium, and 0.8: large).
UNASSIGNED: Dementia care residents showed greater volumes of walking (P<.001; Hedges g=1.0-2.0), with longer (P<.001; Hedges g=0.7-0.8), more variable (P=.008 vs hospital; P<.001 vs rest home; Hedges g=0.6-0.9) bouts compared to other care levels with a lower alpha score (vs hospital: P<.001; Hedges g=0.9, vs rest home: P=.004; Hedges g=0.8). Residents with severe cognitive impairment took longer (P<.001; Hedges g=0.5-0.6), more variable (P<.001; Hedges g=0.4-0.6) bouts, compared to those with mild and moderate cognitive impairment. Residents with low-very low physical function had lower walking volumes (total walk time and bouts per day: P<.001; steps per day: P=.005; Hedges g=0.4-0.5) and higher variability (P=.04; Hedges g=0.2) compared to those with high-moderate capacity.
UNASSIGNED: ARC residents across different levels of care, cognition, and physical function demonstrate different walking behaviors. However, ARC residents often present with varying levels of both cognitive and physical abilities, reflecting their complex multimorbid nature, which should be considered in further work. This work has demonstrated the importance of considering a nuanced framework of digital outcomes relating to volume, pattern, and variability of walking behaviors among ARC residents.

In old age, walking difficulty may reduce opportunities to reach valued activity destinations. Walking modifications, e.g., slower pace or using a walking aid, may enable individuals to continue going where they wish, and hence postpone the consequences of the onset of walking difficulties. We studied visited activity destinations (type, distance) among older people with varying degrees of walking limitations. Community-dwelling 75-85-year-old people living in Jyväskylä (N = 901) were asked to state whether they had no difficulty walking 2 km, had modified their walking, or had difficulty walking. On a digital map, participants located physical exercise, attractive, and regular destinations they had visited during the past month. Destination counts and median distance to destinations from home were computed. Participants with intact walking reported higher counts of physical exercise (IRR = 1.45, 95% CI [1.31, 1.61]) and attractive destinations (IRR = 1.23, 95% CI [1.10, 1.40]) than those with walking difficulty and also visited these destinations further away from home than the others (b = 0.46, 95% CI [0.20, 0.71]). Those with walking modifications reported higher counts of physical exercise destinations than those with walking difficulty (IRR = 1.23, 95% CI [1.09, 1.40]). Counts of regular destinations and distance traveled were not associated with walking limitations. Walking modifications may help people with walking difficulty reach destinations further away from home, potentially contributing to their sense of autonomy. For those with walking difficulty, a low count of destinations other than regular destinations, e.g., shops or healthcare facilities, may signal their abandonment of recreational activities and a decrease in their life space, potentially leading to reduced well-being.

OBJECTIVE: There is strong evidence that mobility-assistive technologies improve occupational performance, social participation, educational and employment access and overall quality of life in people with disabilities. However, people with disabilities still face barriers in accessing mobility products and related services. This review aims to summarise and synthesise: (1) theories, models and frameworks that have been used to understand mobility-assistive technology access, (2) determinants of access and (3) gaps in knowledge.
METHODS: A scoping review using the five-step framework by Arksey and O\'Malley.
METHODS: We searched the MEDLINE, EMBASE, Cumulative Index to Nursing and Allied Health Literature and SCOPUS databases for publications published between 2000 and 2024. We searched for articles published up to 20 March 2024.
METHODS: We included English-published literature in peer-reviewed journals that reported (a) barriers to the provision of mobility-assistive technologies, (b) including at least one theory, model or framework and (c) between 2000 and 2024.
METHODS: We extracted the study characteristics, theories, models, framework usage, research recommendations, key findings on mobility-assistive technology barriers and theoretical propositions. We conduct a theoretical synthesis guided by Turner\'s approach.
RESULTS: We included 18 articles that used 8 theories, models and frameworks, synthesised into 9 propositions. The synthesised theory emphasises that mobility is essential for human flourishing, and that certain health conditions may impose restrictions on mobility. This impact can be alleviated by two direct determinants: (1) the provision of suitable services and (2) their comprehensive provision. Policies and costs influence these services indirectly. Environmental and personal factors also affect the use of these services. Ineffectively addressing these determinants can limit access to mobility-assistive technologies and subsequent disabilities.
CONCLUSIONS: Our synthetic model describes the logic of providing evidence-based mobility-assistive technologies, and we identify the determinants of access that can act as targets for future work to improve the provision of mobility-assistive technologies.

BACKGROUND: The onset of locomotive syndrome (LS) precedes that of frailty. Therefore, the first step in extending healthy life expectancy is to implement measures against LS in young adults. The aim of this study was to investigate the prevalence of LS and its associated factors in young adults for early detection and prevention of LS.
METHODS: The participants of this study comprised 413 university students specializing in health sciences (192 males and 221 females) with an average age of 19.1 ± 1.2 years. All participants voluntarily participated in the study and reported no serious health problems. The presence or absence of LS was evaluated using the stand-up test, two-step test, and the 25-question Geriatric Locomotive Function Scale. Additionally, musculoskeletal assessment (one-leg standing, squatting, shoulder elevation, and standing forward bend), body composition analysis (weight, body mass index, body fat mass, body fat percentage, skeletal muscle mass index (SMI), and phase angle), handgrip strength test, physical activity assessment, and nutritional assessment were conducted. Sex-stratified analyses were performed, comparing groups with and without LS. Factors associated with LS were explored using binomial logistic regression.
RESULTS: Of the 413 young adults studied, 86 individuals (20.8%) were found to have LS. When stratified by sex, LS was observed to have a considerably higher prevalence in females (55, 24.9%) than in males (31, 16.1%). In males, the notable differences between the groups with and without LS were observed in one-leg standing and phase angle, whereas in females, differences were identified in body fat mass, body fat percentage, SMI, musculoskeletal pain, and handgrip strength. Two types of binomial logistic regression analysis revealed that the inability to perform one-leg standing was associated with LS in males, while the presence of musculoskeletal pain and a high body fat percentage were identified as factors associated with LS in females.
CONCLUSIONS: One in five young adults were found to have LS in this study, underscoring the necessity for early intervention and LS health education. Furthermore, effective management of musculoskeletal pain is also crucial.