Characteristics and Consequences of Falls in People Who Use Wheelchairs in Long-Term Care Settings.

OBJECTIVES: The purpose of this study was to understand the characteristics and consequences of falls in individuals using wheelchairs in long-term care settings. DESIGN: Observational analysis of real-world falls in long-term care. SETTING AND PARTICIPANTS: Residents using wheelchairs from 2 long-term care facilities in British Columbia, Canada (n = 32 participants, mean age = 84.7 years, 12 women). METHODS: Two raters used the validated Falls Video Analysis Questionnaire, adapted from the original version, to assess the causal, behavioral, and environmental aspects of falls from wheelchairs. RESULTS: A total of 58 wheelchair fall videos were identified out of 300 total videos that were collected from 2007 to 2014. Wheelchair falls were most often caused by incorrect transfer or shift of body weight (70.7%). Participants most often fell backward with 89.7% striking their pelvis. Individuals using wheelchairs had limited protective response, with only 10.3% demonstrating a step response. Improper brake position contributed to 67.2% of falls. No serious fall-related injuries were reported. CONCLUSIONS AND IMPLICATIONS: The findings highlight the unique nature of falls in older adults who use wheelchairs in long-term care settings. Overall, the results of this study support clinical practice and the critical need for developing specialized fall prevention and fall detection interventions for individuals who use wheelchairs in long-term care.

Multimodal exercise training to reduce frailty in people with multiple sclerosis: study protocol for a pilot randomized controlled trial.

BACKGROUND: Frailty, a syndrome characterized by decreased reserve and resistance to stressors across multiple physiologic systems, is highly prevalent in people living with multiple sclerosis (pwMS), independent of age or disability level. Frailty in MS is strongly associated with adverse clinical outcomes, such as falls, and may aggravate MS-related symptoms. Consequently, there is a pressing necessity to explore and evaluate strategies to reduce frailty levels in pwMS. The purpose of this pilot randomized controlled trial (RCT) will be to examine the feasibility and preliminary efficacy of a multimodal exercise training program to reduce frailty in pwMS. METHODS: A total of 24 participants will be randomly assigned to 6 weeks of multimodal exercise or to a waitlist control group with a 1:1 allocation. PwMS aged 40-65 years and living with frailty will be eligible. The multimodal exercise program will consist of cognitive-motor rehabilitation (i.e., virtual reality treadmill training) combined with progressive, evidence-based resistance training. At baseline and post-intervention, participants will complete the Evaluative Frailty Index for Physical Activity (EFIP), measures of fall risk, and quality of life. Frailty-related biomarkers will also be assessed. In addition, the feasibility of the multimodal exercise program will be systematically and multidimensionally evaluated. DISCUSSION: To date, no RCT has yet been conducted to evaluate whether targeted exercise interventions can minimize frailty in MS. The current study will provide novel data on the feasibility and preliminary efficacy of multimodal exercise training as a strategy for counteracting frailty in pwMS. TRIAL REGISTRATION: ClinicalTrials.gov, NCT06042244 (registered in September 2023).

Fear of falling and common symptoms of multiple sclerosis: Physical function, cognition, fatigue, depression, and sleep - A systematic review.

BACKGROUND: Fear of falling (FOF) is a common concern among persons with multiple sclerosis (MS) and affects the performance of their daily living activities. Falls may result in FOF, leading to worsening of symptoms of MS, physical deconditioning, and exposure to future falls. This may trigger a vicious cycle between FOF and falls. A better understanding of the relationship between FOF and symptoms of MS may be helpful to develop a conceptual model to guide fall prevention interventions. OBJECTIVE: To synthesize the correlational and predictive relationships between FOF and common symptoms of MS. METHODS: Databases including PubMed, Embase, Web of Science, Scopus, CINHAL, PsycINFO, and SPORTDiscuss were searched from inception to October 2023. Studies examining correlations and/or predictions between FOF and common MS symptoms that include measures of gait, postural control, fatigue, cognition, pain, sleep, depression, and anxiety were identified by two independent reviewers. Both reviewers also conducted the methodological quality assessment of the included studies. RESULTS: Twenty-three studies with a total of 2819 participants were included in the review. Correlational findings indicated that increased FOF was significantly associated with greater walking deficits (lower gait speed, smaller steps), reduced mobility, and poorer balance. Increased FOF was also significantly correlated with higher cognitive impairments, more fatigue, sleep disturbances, and depression. Decreased gait parameters, reduced balance, lower physical functions, cognitive impairments, and sleep deficits were found as significant predictors of increased FOF. CONCLUSION: Evidence indicates significant correlational and bidirectional predictive relationships exist between FOF and common MS symptoms. A comprehensive conceptual framework accounting for the interaction between FOF and MS symptoms is needed to develop effective falls prevention strategies.

Understanding Wheelchair Use in Older Adults From the National Health and Aging Trends Study.

OBJECTIVE: To identify the trends of wheelchair use and physical characteristics among older people who used wheelchairs relative to those who did not. DESIGN: Cohort and survey. SETTING: General community. PARTICIPANTS: 7026 participants (N=7026) were selected from the 2011 cohort of the National Health and Aging Trends Study (NHATS), which is made up of Medicare beneficiaries over the age of 65. Repeated observations among participants in the 2011 cohort were analyzed in the 4 following rounds: 2013 (N=4454), 2015 (N=3327), 2017 (N=2623), and 2019 (N=2091). Participants were divided into 2 groups: those who used and did not use wheelchairs. INTERVENTIONS: Not applicable. MAIN OUTCOMES MEASURES: Physical characteristics, including pain, strength limitation, balance problems, mobility disability, as well as the frequency of going outside. RESULTS: The number of older adults who use wheelchairs had increased significantly from 4.7 per 100 people in 2011 to 7.1 in 2019 (P<.001). The logistic regression analysis indicated that participants who reported less frequently going out were at least 4.27 times more likely to be wheelchair users than non-wheelchair users (P<.01). Participants who reported health and physical problems were at least 2.48 times more likely to be wheelchair users than non-wheelchair users from 2011 to 2017 (P<.0001). Balance or coordination problems increased (24%-38%) significantly among non-wheelchair users from 2011 to 2019 (all P<.05). CONCLUSIONS: Current wheelchair users reported more physical difficulties and were much less likely to go outside. This lower outdoor mobility could be due to physical difficulties or potential barriers in physical and socio-cultural environments. In addition, older adults who do not use wheelchairs showed increasing physical problems over time (including balance or coordination problems). Clinicians should consider older wheelchair users' health and physical limitations when prescribing wheelchairs.

Association between frailty and sleep quality in people living with multiple sclerosis and obesity: An observational cross-sectional study.

BACKGROUND: A majority of the people with multiple sclerosis (pwMS) experience sleep disturbances. Frailty is also common in pwMS. The geriatric literature strongly suggests that frailty is associated with worse sleep outcomes in community-dwelling older adults, but this association has yet to be explored among pwMS. This study focused on examining the association between frailty and sleep quality in pwMS. METHODS: Seventy-six people with both MS and obesity (mean age: 47.6 ± 10.9 years, 81.6 % female, mean body mass index (BMI): 37.10 ± 5.5 kg/m2, mean Patient Determined Disease Steps (PDDS): 0.82 ± 1.20) were included in this cross-sectional secondary analysis. A comprehensive frailty index (FI) based on 41 health deficits from various health domains was calculated based on standardized procedures. Sleep quality was determined by the Pittsburgh Sleep Quality Index questionnaire (PSQI). RESULTS: Overall, 67.1 % of the participants were identified as non-frail (FI ≤ 0.25), and 32.9 % were identified as frail (FI > 0.25). A significant correlation was observed between FI scores and global PSQI scores (ρ = 0.43, p < 0.05). Cross-tabulation analyses revealed that frail participants had worse subjective sleep quality, sleep latency, habitual sleep efficiency, sleep disturbances, daytime dysfunction, and higher use of sleep medications compared to non-frail participants (p < 0.05). CONCLUSIONS: The current study identified a significant association between frailty and sleep quality in people with both MS and obesity with minimal disability. These findings underscore the importance of untangling the relationship between frailty and sleep quality in pwMS. These results could lead to a more targeted approach for rehabilitation interventions aiming to improve frailty in MS.

Everyday Experiences of Physical Function and Awareness of Fall Risk in Older Adulthood.

Background and Objectives: Falls, the leading cause of death and disability among older adults, occur in daily life when the demands of daily activities surpass the ability to maintain balance. An estimated 30% of older adults misestimate their physical function, placing them at greater risk of falling. This study examined how experiences of physical function are linked to awareness of fall risk in daily life. Research Design and Methods: For 30 consecutive days following a fall-risk assessment, 41 older adults (observations = 1,135; 56% women; age: 65-91) self-assessed objective and subjective fall risk using a custom smartphone application. Alignment of objective and subjective fall risk was indexed as awareness of fall risk. Postural sway was measured by the application. Physical and mobility symptoms and fear of falling were reported daily. Results: At baseline, 49% of participants misestimated their fall risk. Awareness of fall risk varied from day to day and fall risk was misestimated on 40% of days. Multilevel multinomial models showed individual differences in the level of daily symptoms to increase the tendency to misestimate fall risk. Daily symptoms and fear of falling increased awareness of high fall risk, but daily symptoms threatened awareness of low fall risk. Discussion and Implications: Findings suggest that misestimation of fall risk is common in older adulthood and informed by appraisals of physical function. Fall prevention strategies could support older adults in understanding their everyday physical function and provide tools to adjust the demands of activities in daily life.

Association Between Frailty and Free-Living Walking Performance in People With Multiple Sclerosis.

OBJECTIVE: The purpose of this study was to examine the association between frailty and the quantity and quality of free-living walking and the mediating effect of frailty on the relationship between disability and walking performance in people with multiple sclerosis (MS). METHODS: Ninety-nine people with relapsing-remitting MS (mean age = 49.3 [SD = 9.8] years; 73.7% women; Expanded Disability Status Scale [EDSS] score range = 2.0-6.0) wore a triaxial accelerometer for 7 days. Recorded measures reflected the quantity (daily step counts, number of 30-second walking bouts, and signal vector magnitude [SVM]) and quality (gait speed, step cadence, step and stride regularity, and sample entropy) of walking. For each walking quality measure, the typical (median), best (90th percentile), and worst (10th percentile) values were calculated. Frailty was evaluated through a 38-item frailty index. RESULTS: Participants were classified as not frail (n = 31), moderately frail (n = 34), and severely frail (n = 34) on the basis of established procedures. Patients who were moderately and severely frail exhibited poorer performance in all measures of walking quantity and quality, except for sample entropy, than individuals who were not frail. No differences in free-living walking performance were observed between the moderately and severely frail groups. Frailty did not mediate the relationship between disability (EDSS) and measures of walking quality. Conversely, frailty had a significant mediating effect on the relationship between disability and measures of walking quantity, such as daily step counts (indirect effect: b = -220.42, 95% CI = -452.03 to -19.65) and SVM (indirect effect: b = -1.00, 95% CI = -1.86 to -0.30). CONCLUSION: Frailty is associated with poorer free-living walking performance in people with MS. The study findings suggest that frailty, rather than disability, may be primarily responsible for the lower amount of physical activity performed by people with MS in the real world. IMPACT: The observation that frailty and disability are differently related to measures of walking quality and quantity underscores the importance of a targeted approach to rehabilitation in people with MS.

Minimizing fall-related injuries in at-risk older adults: The falling safely training (FAST) study protocol.

Background: Falls are the leading cause of accidental injury among the elderly. Fall prevention is currently the main strategy to minimize fall-related injuries in at-risk older adults. However, the success of fall prevention programs in preventing accidental injury in elderly populations is inconsistent. An alternative novel approach to directly target fall-related injuries is teaching older adults movement patterns which reduce injury risk. The purpose of the current study will be to explore the feasibility and preliminary efficacy of teaching at-risk older adults safe-falling strategies to minimize the risk of injury. Methods/design: The Falling Safely Training (FAST) study will be a prospective, single-blinded randomized controlled trial. A total of 28 participants will be randomly assigned to four weeks of FAST or to an active control group with a 1:1 allocation. People aged ≥65 years, at-risk of injurious falls, and with normal hip bone density will be eligible. The FAST program will consist of a standardized progressive training of safe-falling movement strategies. The control group will consist of evidence-based balance training (modified Otago exercise program). Participants will undergo a series of experimentally induced falls in a laboratory setting at baseline, after the 4-week intervention, and three months after the intervention. Data on head and hip movement during the falls will be collected through motion capture. Discussion: The current study will provide data on the feasibility and preliminary efficacy of safe-falling training as a strategy to reduce fall impact and head motion, and potentially to reduce hip and head injuries in at-risk populations. Registration: The FAST study is registered at http://Clinicaltrials.gov (NCT05260034).

Characteristics and consequences of falls among people with multiple sclerosis who use wheelchairs or scooters: Differences between injurious and non-injurious falls.

BACKGROUND: Falls are common among people living with multiple sclerosis (MS) who use wheelchairs or scooters. Falls may lead to severe consequences including physical injuries. However, very little is known about the circumstances associated with injurious falls in this population. Therefore, we aimed to explore the differences in fall-related characteristics between injurious and non-injurious falls among people with MS who use wheelchairs or scooters. METHODS: A convenience sample of 48 people with MS (age = 62.0 [13.0] years, gender = 81.3% female, primary mobility aid = power wheelchair) completed a fall-history survey that examined the characteristics and consequences of their most recent fall. Participants also completed standard questionnaires on quality of life, community participation, and fear of falling. RESULTS: Most falls (85.4%) reported by participants occurred inside the house. Twelve (25.0%) participants reported experiencing fall-related injuries such as bruises, cuts, muscle strains, and fractures. People who reported being injured after a fall had a higher proportion of falls that occurred during transfers compared to those who were not injured (n = 10, 83.3% vs n = 17, 47.2%). Most participants (45.8%) did not receive any information from healthcare professionals on how to manage their fall-risk after their fall experience. No differences between injurious and non-injurious fallers in quality of life, community participation, and fear of falling were observed. CONCLUSIONS: This cross-sectional investigation provides compelling evidence that people with MS who use wheelchairs or scooters are at high risk of fall-related injuries. The study findings underscore the importance of increasing health care providers' awareness about the frequency and consequences of falls. Further, it demonstrates the critical need for evidence-based interventions specifically designed to minimize fall-related injuries in this vulnerable population.

Fall detection from a manual wheelchair: preliminary findings based on accelerometers using machine learning techniques.

Automated fall detection devices for individuals who use wheelchairs to minimize the consequences of falls are lacking. This study aimed to develop and train a fall detection algorithm to differentiate falls from wheelchair mobility activities using machine learning techniques. Thirty, healthy, ambulatory, young adults simulated falls from a wheelchair and performed other wheelchair-related mobility activities in a laboratory. Neural Network classifiers were used to train the algorithm developed based on data retrieved from accelerometers mounted at the participant's wrist, chest, and head. Results indicate excellent accuracy to differentiate between falls and wheelchair mobility activities. The sensors mounted at the wrist, chest, and head presented with an accuracy of 100%, 96.9%, and 94.8%, respectively, using data from 258 falls and 220 wheelchair mobility activities. This pilot study indicates that a fall detection algorithm developed in a laboratory setting based on fall accelerometer patterns can accurately differentiate wheelchair-related falls and wheelchair mobility activities. This algorithm should be integrated into a wrist-worn devices and tested among individuals who use a wheelchair in the community.

The Dynamic Interplay of Objective and Subjective Balance and Subsequent Task Performance: Implications for Fall Risk in Older Adults.

INTRODUCTION: Falls occur in daily life when an activity results in a loss of balance that is too great to recover from. Our purpose in this study was to examine how fall risk differentiates the dynamic interplay of objective and subjective balance on a given day and subsequent task performance on that day. METHODS: For 30 consecutive days, following a baseline fall risk assessment, 41 older adults (56% female, Age M = 75.22, SD = 6.75) self-assessed balance and task performance using a smartphone. The Activity-specific Balance Confidence scale measured subjective balance. Postural sway and chair-stand performance were measured within a smartphone using accelerometry. Data were analyzed using multilevel random coefficient models. RESULTS: Tests of heterogeneity in level one residuals showed day-to-day variability in balance confidence and postural sway to be greater in individuals with higher fall risk at baseline. Baseline fall risk differentiated how the interplay of balance confidence and postural sway on a given day related to chair-stand performance on that day. For those with higher fall risk, on days that balance confidence was higher, greater postural sway was followed by greater chair-stand performance. CONCLUSION: Findings indicate that older adults, especially those with higher fall risk, may be unaware of subtle fluctuations in balance, which could lead to engaging in activities that exceed the capacity to maintain balance at that moment. Fall prevention efforts should address older adults' understanding of and responses to fluctuations of physical function in daily life.

Arterial stiffness and augmentation index are associated with balance function in young adults.

OBJECTIVE: Arterial stiffness and pulsatile central hemodynamics have been shown to affect various aspects of physical function, such as exercise capacity, gait speed, and motor control. The aim of this study was to examine the potential association between arterial stiffness and balance function in healthy younger men and women. METHODS: 112 participants (age = 21 ± 4 years, n = 78 women) underwent measures of arterial stiffness, pulsatile central hemodynamics, balance function and physical fitness in this cross-sectional study. Postural sway was measured in triplicate while participants stood on a foam surface with their eyes closed for 20 s. The average total center of pressure path length from the three trials was used for analysis. Measures of vascular function were estimated using an oscillometric blood pressure device while at rest and included pulse wave velocity (PWV), augmentation index (AIx), and pulse pressure amplification. Measures of physical fitness used as covariates in statistical models included handgrip strength determined from a handgrip dynamometer, lower-body flexibility assessed using a sit-and-reach test, estimated maximal aerobic capacity (VO2max) using heart rate and a step test, and body fat percentage measured from air displacement plethysmography. RESULTS: The results from linear regression indicated that after considering sex, mean arterial pressure, body fat, estimated VO2max, handgrip strength, and sit-and-reach, PWV (ß = 0.44, p < 0.05) and AIx (ß = - 0.25, p < 0.01) were significant predictors of postural sway, explaining 10.2% of the variance. CONCLUSION: Vascular function is associated with balance function in young adults independent of physical fitness. Increased arterial stiffness may negatively influence balance, while wave reflections may be protective for balance.

Mobile Technology for Falls Prevention in Older Adults.

Falls are the leading cause of accidental death in older adults that result from a complex interplay of risk factors. Recently, the need for person-centered approach utilizing personalization, prediction, prevention, and participation, known as the P4 model, in fall prevention has been highlighted. Features of mobile technology make it a suitable technological infrastructure to employ such an approach. This narrative review aims to review the evidence for using mobile technology for personalized fall risk assessment and prevention since 2017 in older adults. We aim to identify lessons learned and future directions for using mobile technology as a fall risk assessment and prevention tool. Articles were searched in PubMed and Web of Science with search terms related to older adults, mobile technology, and falls prevention. A total of 23 articles were included. Articles were identified as those examining aspects of the P4 model including prediction (measurement of fall risk), personalization (usability), prevention, and participation. Mobile technology appears to be comparable to gold-standard technology in measuring well-known fall risk factors including static and dynamic balance. Seven applications were developed to measure different fall risk factors and tested for personalization, and/or participation aspects, and 4 were integrated into a falls prevention program. Mobile health technology offers an innovative solution to provide tailored fall risk screening, prediction, and participation. Future studies should incorporate multiple, objective fall risk measures and implement them in community settings to determine if mobile technology can offer tailored and scalable interventions.

Pilot Study of a Fall Prevention and Management Intervention Program for People With Multiple Sclerosis Who Use a Wheelchair or Scooter Full-Time.

Objective: To examine the efficacy of a fall prevention/management intervention among persons with multiple sclerosis (PwMS) who use a wheelchair (WC) or scooter full-time. Design: Pre-post/follow-up trial. Setting: Community and research laboratory. Participants: Twenty-one PwMS who used a WC or scooter full-time, self-reported at least 1 fall/12 months, and could transfer independently or with minimal/moderate assistance (N=21). Intervention: Six-week, group and community-based fall prevention and management intervention. The intervention included six 2-hour in-person weekly sessions led by a physical or occupational therapist featuring interactive group discussions, skill practice, and action planning opportunities. Main Outcome Measures: Fall frequency tracked 12 weeks pre- and 24 weeks post intervention. Outcomes were assessed pre- and post intervention and 12 weeks post intervention. Measures included surveys to examine fear of falling (FOF), fall prevention/management, quality of life, community participation, and assessment of functional mobility skills. Semistructured interviews were administered post intervention to ascertain overall experiences with the program and effect on daily life. A Friedman test with signed-rank post hoc analysis was run to determine differences across the 3 study visits. Results: After the intervention, fall incidence did not significantly change, but fall management strategies (P=.01-0.05), importance of community participation (P=.01), and transfer quality (P=.02) significantly improved. Moderate effect sizes were noted among concerns about falling, activity curtailment because of to FOF, and WC skills. Qualitative results indicate that participants found the intervention beneficial and applied intervention content in their daily lives. Conclusions: This study is the first to describe the effect of a multicomponent fall prevention/management intervention designed specifically for PwMS who use a WC or scooter full-time. Results indicate the program has potential to reduce fall risk; however, further testing is needed to fully examine the effect of the program.

Motor Cognitive Dual-Task Testing to Predict Future Falls in Multiple Sclerosis: A Systematic Review.

BACKGROUND: Mobility and cognitive impairments are often associated with increased fall risk among people with multiple sclerosis (PwMS). However, evidence on the concurrent assessment of gait or balance and cognitive tasks (dual-task) to predict falls appears to be inconsistent. OBJECTIVE: To summarize the ability of gait or balance dual-task testing to predict future falls among PwMS. METHODS: Seven databases including PubMed, Embase, Web of Science, Scopus, CINHAL, SPORTDiscuss, and PsycINFO were searched from inception to May 2022. Two independent reviewers identified studies that performed a dual-task testing among adults with multiple sclerosis and monitored falls prospectively for at least 3 months. Both reviewers also evaluated the quality assessment of the included studies. RESULTS: Eight studies with 484 participants were included in the review. Most studies (75%) indicated that dual-task testing and dual-task cost did not discriminate prospective fallers (⩾1 fall) and non-fallers (0 fall) and were not found as predictors of future falls. However, dual-task cost of walking velocity (OR = 1.23, 95% CI 0.98-4.45, P = .05) and dual-task of correct response rate of serial 7 subtraction (OR = 1.34, 95% CI 1.04-3.74, P = .02) were significantly associated with increased risk of recurrent falls (≥2 falls). Pattern of cognitive-motor interference was also associated with an increased risk of falling. All studies presented with strong quality. CONCLUSION: The scarce evidence indicates that dual-task testing is not able to predict future falls among PwMS. Further research with more complex motor and cognitive tasks and longer-term fall monitoring is required before dual-task testing can be recommended as a predictor of future falls in this population.

Fragmentation, circadian amplitude, and fractal pattern of daily-living physical activity in people with multiple sclerosis: Is there relevant information beyond the total amount of physical activity?

BACKGROUND: Physical activity is lower in people with multiple sclerosis (pwMS) compared to healthy controls. Previous work focused on studying activity levels or activity volume, but studies of daily-living rest-activity fragmentation patterns, circadian rhythms, and fractal regulation in pwMS are limited. Based on findings in other cohorts, one could suggest that these aspects of daily-living physical activity will provide additional information about the health and well-being of pwMS. Therefore, here, we aimed to (1) identify which fragmentation, fractal, and circadian amplitude measures differ between pwMS and healthy controls, (2) evaluate the relationship between fragmentation, fractal, and circadian amplitude measures and disease severity, and (3) begin to evaluate the added value of those measures, as compared to more conventional measures of physical activity (e.g., mean signal vector magnitude (SVM). A global measure of the overall volume of physical activity). METHODS: 132 people with relapsing-remitting MS (47±11 yrs, 69.7% female, Expanded Disability Status Scale, EDSS, median (IQR): 3 (2-4)) and 90 healthy controls (46±11 yrs, 47.8% female) were asked to wear a 3D accelerometer on their lower back for 7 days. Rest-activity fragmentation, circadian amplitude, fractal regulation, and mean SVM metrics were extracted. PwMS and healthy controls were compared using independent samples t-tests and linear regression, including comparisons adjusted for mean SVM to control for the effect of physical activity volume. Spearman correlations between measures and logistic regressions were used to identify the clinical condition based on the measures that differed significantly after adjusting for SVM. All analyses included adjustments for demographic and clinical parameters (e.g., age, sex). RESULTS: Multiple measures of activity fragmentation significantly differed between pwMS and healthy controls, reflecting a more fragmented active behavior in pwMS. PwMS had a lower circadian rhythm amplitude, indicating a smaller amplitude in the circadian changes of daily activity, and weaker temporal correlations as based on the fractal analysis. When taking into account physical activity volume, one circadian amplitude measure and one fractal measure remained significantly different in pwMS and controls. Fragmentation measures and circadian amplitude measures were significantly associated with disability level as measured by the EDSS; the association with circadian amplitude remained significant, even after adjusting for the mean SVM. CONCLUSION: The physical activity patterns of pwMS differ from those of healthy individuals in rest-activity fragmentation, the amplitude of the circadian rhythm, and fractal regulation. Measures describing these aspects of activity provide information that is not captured in the total volume of physical activity and could, perhaps, augment the monitoring of disease progression and evaluation of the response to interventions.

Frailty among people with multiple sclerosis who are wheelchair users.

BACKGROUND: Frailty is a biological syndrome arising from cumulative declines across multiple physiologic systems. Although recent reports have described elevated frailty levels in people with multiple sclerosis (MS) with minimal to moderate disability, very little is known about frailty in individuals with severe disability. The objective of the current investigation was to evaluate frailty through the deficit accumulation model and to explore the relationship of frailty with MS clinical subtypes, disease duration and fall-history in wheelchair users living with MS. MATERIALS AND METHODS: Standard validated procedures were used to calculate a frailty index in 45 wheelchair and scooter users living with MS (median age = 60.0[16.0] years, 82.2% female, patient determined disease steps score = 7.0). Information on demographics, MS clinical subtypes, disease duration, and six-month fall-history were collected as part of a standardized medical survey. RESULTS: The mean frailty index score was 0.54 (standard deviation = 0.13). Overall, 91.1% and 8.9% of participants met objective diagnostic criteria for severe and moderate frailty, respectively. A one-way ANOVA revealed no significant differences (F = 0.054, p = 0.948) in the frailty index among participants with relapsing-remitting MS, primary progressive, and secondary progressive MS. No relationship between frailty and disease duration (r = -0.058, p = 0.706) was found. A univariable negative binomial regression analysis revealed a significant association between frailty index scores and the number of falls experienced in the previous six months (IRR = 1.75, 95% CI [1.06-2.91], p = 0.030). CONCLUSION: The current study suggests that individuals with MS with advanced disability also live with coexisting frailty and that the frailty index may be a valuable tool in evaluating fall-risk in wheelchair users living with MS. The significant overlap observed between severe disability and severe frailty highlights the emerging need to untangle this bi-directional relationship to identify appropriate therapeutic pathways in the MS population living with advanced disability.

Prediction of future falls among full-time wheelchair and scooter users with multiple sclerosis: A prospective study.

BACKGROUND: Seventy-five percent (75%) of full-time wheelchair or scooter users with multiple sclerosis (MS) experience at least one fall in a period of 6 months. Falls are detrimental for the independence, quality of life, and community participation. No previous prospective study has evaluated fall risk factors in this segment of MS community. OBJECTIVE: To develop a multivariable falls risk prediction model for people with MS (PwMS) who use a wheelchair or scooter full-time. METHODS: This prospective cohort study is a secondary data analysis that recruited PwMS from the community across the US. Forty-eight adults with MS who use a wheelchair or scooter as their main form of mobility were included. Dependent variable was fall incidence over 3-month recorded through diaries. Dependent variable was categorized as fallers (≥ 1 fall) and non-fallers (0 fall). Predictors were demographics, history of falls in the past 6 months, measures of fear of falling, Spinal Cord Injury- Falls Concern Scale, California Verbal Learning Test II, and Multiple Sclerosis Quality of Life- mental health. Multivariable logistic regression analyses were conducted to identity predictors of future falls. RESULTS: In total, 63 falls (range 0 - 8) were reported over the 3-month period from a total of 26 fallers (54%). Multivariate logistic regression analyses indicated that the risk factor with the best predictive ability of future falls included history of falls in the past 6 months (sensitivity 77%, specificity 54%, and area under the receiving operating curve statistic = 0.76, 95% CI 0.62 to 0.89). CONCLUSION: Findings highlight the importance of asking full-time wheelchair and scooter users with MS if they have fallen in the past 6 months to quickly identify those who are at increased fall risk and in need of follow up assessment and intervention to identify and address modifiable risk factors. More attention to fall risks among full-time wheelchair or scooter users with MS is suggested to increase the understanding among clinicians and researchers of modifiable risk factors.

The Developments and Iterations of a Mobile Technology-Based Fall Risk Health Application.

Falls are a prevalent and serious health concern across clinical populations. A critical step in falls prevention is identifying modifiable risk factors, but due to time constraints and equipment costs, fall risk screening is rarely performed. Mobile technology offers an innovative approach to provide personalized fall risk screening for clinical populations. To inform future development, this manuscript discusses the development and testing of mobile health fall risk applications for three unique clinical populations [older adults, individuals with Multiple Sclerosis (MS), and wheeled-device users]. We focus on key lessons learned and future directions to improve the field of fall risk mHealth. During the development phase, we first identified fall risk factors specific to each population that are measurable with mobile technology. Second, we determined whether inertial measurement units within smartphones can measure postural control within the target population. Last, we developed the interface of each app with a user-centered design approach with usability testing through iterative semi-structured interviews. We then tested our apps in real-world settings. Our cumulative work demonstrates that mobile technology can be leveraged to provide personalized fall risk screening for different clinical populations. Fall risk apps should be designed and tailored for the targeted group to enhance usefulness and feasibility. In addition, fall risk factors measured with mobile technology should include those that are specific to the population, are measurable with mobile technology, and can accurately measure fall risk. Future work should improve fall risk algorithms and implement mobile technology into fall prevention programs.

Smartphone-based gait and balance assessment in survivors of stroke: a systematic review.

PURPOSE: Gait and balance impairments are associated with falls and reduced quality of life among survivors of stroke (SS). Effective methods to assess these impairments at-home and in-clinic can help reduce fall risks and improve functional outcomes. Smartphone technology may be able to evaluate these impairments. This review aims to summarize the validity, reliability, sensitivity, and specificity of smartphone applications for determining gait and balance disorders in SS. METHOD: Database search through PubMed, Web of Science, Scopus, CINAHL, and SportDiscuss was conducted to retrieve studies that explored the use of smartphone-based applications for assessing gait and balance disorders in SS. Two independent reviewers screened potential articles to determine eligibility for inclusion. Eligible studies were summarized for participant and study characteristics, validity, reliability, sensitivity, and specificity of smartphone assessments. Methodological quality assessment of studies was performed using the NIH Quality Assessment Tool. RESULTS: Seven cross-sectional studies were included in the review. Quality assessment revealed all studies had low risk of bias. Three of the included studies examined the validity, four examined the reliability, and two examined the specificity and sensitivity of smartphone-based application assessments of gait and balance in SS. Studies revealed that smartphones were valid, reliable, specific, and sensitive. Six of the seven included studies intended their use for SS and one study for clinicians. CONCLUSION: Preliminary evidence supports that smartphone-based gait and balance assessments are valid, reliable, sensitive, and specific in SS in laboratory settings. Future research is needed to test smartphone-based gait and balance assessments in home settings and determine optimal wear sites for assessments.IMPLICATIONS FOR REHABILITATIONSmartphone-based gait and balance assessments are feasible, valid and reliable for survivors of strokeThe findings may guide future research to standardize the use of smartphone to assess gait and balance in this population.The remote use of smartphone-based assessments to predict fall risk in survivors of stroke needs to be explored.