Sedentary behavior, physical activity, and health-related quality of life in adults with multiple sclerosis

PURPOSE

We examined sedentary behavior as a correlate of health-related quality of life (HRQOL) in multiple sclerosis (MS), while accounting for levels of physical activity in this cross-sectional study.

MATERIALS AND METHODS

Participants with MS (N = 233) wore an accelerometer, which measured time spent per day of sedentary behavior, light physical activity (LPA), and moderate-to-vigorous physical activity (MVPA), and completed the 29-item Multiple Sclerosis Impact Scale (MSIS-29) for physical and psychological HRQOL.

RESULTS

There was no main effect of sedentary behavior on physical or psychological HRQOL, and no further effect of sedentary behavior by LPA or MVPA. However, there were main effects of LPA (p < 0.01) and MVPA (p < 0.01) on physical HRQOL and a main effect of MVPA (p = 0.02), but not LPA, on psychological HRQOL.

CONCLUSION

Sedentary behavior was not associated with HRQOL, but those who engaged in higher levels of physical activity, particularly MVPA, reported better HRQOL in MS. This pattern may suggest that increasing physical activity rather than reducing sedentary behavior might yield better MS-specific quality of life.

Is sedentary behavior associated with body composition in multiple sclerosis?

BACKGROUND

To date, the evidence regarding the relationship between sedentary behavior and weight status based on body mass index in multiple sclerosis (MS) has not been definitive, and the conflicting results may be associated with the approaches for measurement of sedentary behavior and body composition.

OBJECTIVE

The current study examined the relationship between device-based sedentary time and body composition outcomes derived from dual-energy x-ray absorptiometry (DXA) in persons with MS, controlling for age, sex, disability status, and physical activity as covariates of both outcomes in MS.

METHODS

Persons with MS were recruited based on body mass index categories for a full range of body composition scores. Participants (n = 62) completed a DXA scan and wore an accelerometer on a belt for a 7-day period.

RESULTS

Sedentary time was not associated with percent fat mass (prs = -.13, p = .36), lean mass (prs = .11, p = .40), bone mineral content (prs = -.03, p = .80), or bone mineral density (prs = -.21, p = .11).

CONCLUSIONS

Time spent in sedentary behavior was not significant correlated with body composition outcomes in our sample of persons with MS. These results support the consideration of other outcomes of sedentary behavior as well as other predictors of body composition over-and-beyond sedentary behavior.

Benefits of Individualized Training in Fatigued Patients with Multiple Sclerosis

INTRODUCTION

Chronic fatigue is the most common and debilitating symptom in people with multiple sclerosis (PwMS). Recently, exercise has been proven to alleviate chronic fatigue and improve physical functions. Tailoring the training intervention to the potential fatigue causes could optimize the beneficial effects of training on fatigue. The objective of this study was to compare the effectiveness of an individualized (IND) versus a traditional (TRAD) exercise intervention in reducing chronic fatigue.

METHODS

Twenty-nine PwMS with high chronic fatigue were randomly assigned to 12 wk of either a TRAD or IND exercise intervention. TRAD comprised aerobic and resistance exercises according to the guidelines for PwMS. IND specifically addressed identified individual weaknesses. Participants visited the laboratory before and after training for the following assessments: patient-reported outcomes (fatigue, quality of life, depression questionnaires), incremental cycling test (peak oxygen uptake (V̇O 2peak )), and cycling fatigue test (maximal voluntary contraction, rating of perceived exertion).

RESULTS

Similar improvements in fatigue, depression, and quality of life were observed between groups ( P > 0.05). Compared with TRAD, IND induced a significant greater increase in V̇O 2peak (+21.0% ± 13.9% vs 6.8% ± 11.5%, P < 0.05) and a greater reduction in rating of perceived exertion at a given submaximal intensity (-30.3% ± 18.9% vs -12.1% ± 20.4%, P < 0.001), whereas maximal voluntary contraction increased similarly in both groups ( P > 0.05).

CONCLUSIONS

Although tailored exercise improved similarly fatigue and other subjective parameters (depression, quality of life, sleep quality) compared with than traditional exercise intervention, prescribing an individualized intervention led to greater improvement in V̇O 2peak (but not maximal strength) and perception of effort. This may have positive functional consequences for patients.

Systematic review and meta-analysis of sedentary behavior in persons with multiple sclerosis

BACKGROUND

Persons with multiple sclerosis (MS) engage in less physical activity than the general population, and the disease manifestations and comorbidity conditions might further predispose them toward sedentary behavior (SB) among this population. We performed a systematic review with meta-analysis of studies that compared SB in persons with MS and non-MS controls, and examined factors that may moderate the difference in SB between the two groups.

METHODS

We conducted a systematic search using PubMed, PsycINFO, Scopus, and CINAHL from inception up to August 2022, and identified studies that involved group comparison of SB outcomes between MS and non-MS controls. Effect sizes were calculated as standardized mean differences (SMDs) using Hedge's g. We generated a multilevel random-effects model for estimating an overall effect, and performed moderator analyses. Methodological quality was assessed using the Appraisal Tool for Cross-Sectional Studies (AXIS tool).

RESULTS

Eleven studies were included (1403 MS vs. 449 controls) and yielded 17 effects for meta-analysis. Results indicated an overall small, but significant effect (SMD [95% CI] = 0.27 [0.02, 0.53], p = 0.03) with significant heterogeneity (Q16 = 72.2, p < 0.01; I2total = 75.8%). There were larger effects when the MS sample had a higher proportion of females, or when SB was reported as percent sedentary time per day compared with other SB outcomes (p = 0.03 and 0.05, respectively). The included studies achieved fairly good quality (91.4%) using the AXIS tool.

CONCLUSIONS

The cumulative evidence supports that persons with MS engage in more SB than non-MS controls. Our findings may support the design of targeted behavioral change interventions for reducing SB and improving health and function in the MS population.

Accelerometry measures of physical activity and sedentary behavior: Associations with cognitive functioning in MS

BACKGROUND

Cognitive dysfunction is a pervasive symptom of multiple sclerosis (MS). Correlational evidence on the relationships between physical activity, sedentary behavior, and cognition has been mixed and limited to a few activity measures. The collinearity of accelerometry-based metrics has precluded an assessment of the full activity spectrum. Here, we aimed to examine the rich set of activity measures using analytic approaches suitable for collinear metrics. We investigated the combination of physical activity, sedentary, and clinicodemographic measures that explain the most variance in composite scores of working memory/processing speed, visual memory, and verbal memory.

METHODS

We analyzed baseline accelerometry and neuropsychological data (n = 80) from a randomized controlled trial of pedometer tracking. Using partial least squares regression (PLSR), we built three models to predict latent scores on the three domains of cognition using 12 activity metrics, sex, education, and Expanded Disability Status Scale (EDSS) scores. Significance was assessed using linear regression models with model component scores as predictors and cognitive composites as outcomes.

RESULTS

The latent component was significant for working memory/processing speed but was not significant for visual memory and verbal memory after Bonferroni correction. Working memory/processing speed was positively associated with average kilocalories, moderate-to-vigorous physical activity (MVPA), steps, and sex (i.e., higher scores in males) and negatively related to duration of long sedentary bouts and EDSS.

CONCLUSIONS

These findings suggest that increasing overall energy expenditure through walking and MVPA, while decreasing prolonged sedentary time may positively benefit working memory/processing speed in people with MS.

TRIAL REGISTRATION

This RCT #NCT03244696 was registered on Clinicaltrials.gov (https://www.

CLINICALTRIALS

gov/ct2/show/NCT03244696).

Wearable Sensor Technologies to Assess Motor Functions in People With Multiple Sclerosis: Systematic Scoping Review and Perspective

BACKGROUND

Wearable sensor technologies have the potential to improve monitoring in people with multiple sclerosis (MS) and inform timely disease management decisions. Evidence of the utility of wearable sensor technologies in people with MS is accumulating but is generally limited to specific subgroups of patients, clinical or laboratory settings, and functional domains.

OBJECTIVE

This review aims to provide a comprehensive overview of all studies that have used wearable sensors to assess, monitor, and quantify motor function in people with MS during daily activities or in a controlled laboratory setting and to shed light on the technological advances over the past decades.

METHODS

We systematically reviewed studies on wearable sensors to assess the motor performance of people with MS. We scanned PubMed, Scopus, Embase, and Web of Science databases until December 31, 2022, considering search terms "multiple sclerosis" and those associated with wearable technologies and included all studies assessing motor functions. The types of results from relevant studies were systematically mapped into 9 predefined categories (association with clinical scores or other measures; test-retest reliability; group differences, 3 types; responsiveness to change or intervention; and acceptability to study participants), and the reporting quality was determined through 9 questions. We followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) reporting guidelines.

RESULTS

Of the 1251 identified publications, 308 were included: 176 (57.1%) in a real-world context, 107 (34.7%) in a laboratory context, and 25 (8.1%) in a mixed context. Most publications studied physical activity (196/308, 63.6%), followed by gait (81/308, 26.3%), dexterity or tremor (38/308, 12.3%), and balance (34/308, 11%). In the laboratory setting, outcome measures included (in addition to clinical severity scores) 2- and 6-minute walking tests, timed 25-foot walking test, timed up and go, stair climbing, balance tests, and finger-to-nose test, among others. The most popular anatomical landmarks for wearable placement were the waist, wrist, and lower back. Triaxial accelerometers were most commonly used (229/308, 74.4%). A surge in the number of sensors embedded in smartphones and smartwatches has been observed. Overall, the reporting quality was good.

CONCLUSIONS

Continuous monitoring with wearable sensors could optimize the management of people with MS, but some hurdles still exist to full clinical adoption of digital monitoring. Despite a possible publication bias and vast heterogeneity in the outcomes reported, our review provides an overview of the current literature on wearable sensor technologies used for people with MS and highlights shortcomings, such as the lack of harmonization, transparency in reporting methods and results, and limited data availability for the research community. These limitations need to be addressed for the growing implementation of wearable sensor technologies in clinical routine and clinical trials, which is of utmost importance for further progress in clinical research and daily management of people with MS.

TRIAL REGISTRATION

PROSPERO CRD42021243249; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=243249.

Total Sedentary Time and Cognitive Function in Middle-Aged and Older Adults: A Systematic Review and Meta-analysis

Background

An estimated 47 million people have dementia globally, and around 10 million new cases are diagnosed each year. Many lifestyle factors have been linked to cognitive impairment; one emerging modifiable lifestyle factor is sedentary time.

Objective

To conduct a systematic review and meta-analysis of peer-reviewed literature examining the association between total sedentary time with cognitive function in middle-aged and older adults under the moderating conditions of (a) type of sedentary time measurement; (b) the cognitive domain being assessed; (c) looking at sedentary time using categorical variables (i.e., high versus low sedentary time); and (d) the pattern of sedentary time accumulation (e.g., longer versus shorter bouts). We also aimed to examine the prevalence of sedentary time in healthy versus cognitively impaired populations and to explore how experimental studies reducing or breaking up sedentary time affect cognitive function. Lastly, we aimed to conduct a quantitative pooled analysis of all individual studies through meta-analysis procedures to derive conclusions about these relationships.

Methods

Eight electronic databases (EMBASE; Web of Science; PsycINFO; CINAHL; SciELO; SPORTDiscus; PubMed; and Scopus) were searched from inception to February 2021. Our search included terms related to the exposure (i.e., sedentary time), the population (i.e., middle-aged and older adults), and the outcome of interest (i.e., cognitive function). PICOS framework used middle-aged and older adults where there was an intervention or exposure of any sedentary time compared to any or no comparison, where cognitive function and/or cognitive impairment was measured, and all types of quantitative, empirical, observational data published in any year were included that were published in English. Risk of bias was assessed using QualSyst.

Results

Fifty-three studies including 83,137 participants met the inclusion criteria of which 23 studies had appropriate data for inclusion in the main meta-analysis. The overall meta-analysis suggested that total sedentary time has no association with cognitive function (r = −0.012 [95% CI − 0.035, 0.011], p = 0.296) with marked heterogeneity (I² = 89%). Subgroup analyses demonstrated a significant negative association for studies using a device to capture sedentary time r = −0.035 [95% CI − 0.063, − 0.008], p = 0.012). Specifically, the domains of global cognitive function (r = −0.061 [95% CI − 0.100, − 0.022], p = 0.002) and processing speed (r = −0.067, [95% CI − 0.103, − 0.030], p < 0.001). A significant positive association was found for studies using self-report (r = 0.037 [95% CI − 0.019, 0.054], p < 0.001). Specifically, the domain of processing speed showed a significant positive association (r = 0.057 [95% CI 0.045, 0.069], p < 0.001). For prevalence, populations diagnosed with cognitive impairment spent significantly more time sedentary compared to populations with no known cognitive impairments (standard difference in mean = −0.219 [95% CI − 0.310, − 0.128], p < 0.001).

Conclusions

The association of total sedentary time with cognitive function is weak and varies based on measurement of sedentary time and domain being assessed. Future research is needed to better categorize domains of sedentary behaviour with both a validated self-report and device-based measure in order to improve the strength of this relationship. PROSPERO registration number: CRD42018082384.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40798-022-00507-x.

Making Every Step Count: Minute-by-Minute Characterization of Step Counts Augments Remote Activity Monitoring in People With Multiple Sclerosis

Background

Ambulatory disability is common in people with multiple sclerosis (MS). Remote monitoring using average daily step count (STEPS) can assess physical activity (activity) and disability in MS. STEPS correlates with conventional metrics such as the expanded disability status scale (Expanded Disability Status Scale; EDSS), Timed-25 Foot walk (T25FW) and timed up and go (TUG). However, while STEPS as a summative measure characterizes the number of steps taken over a day, it does not reflect variability and intensity of activity.

Objectives

Novel analytical methods were developed to describe how individuals spends time in various activity levels (e.g., continuous low versus short bouts of high) and the proportion of time spent at each activity level.

Methods

94 people with MS spanning the range of ambulatory impairment (unaffected to requiring bilateral assistance) were recruited into FITriMS study and asked to wear a Fitbit continuously for 1-year. Parametric distributions were fit to minute-by-minute step data. Adjusted R² values for regressions between distributional fit parameters and STEPS with EDSS, TUG, T25FW and the patient-reported 12-item MS Walking scale (MSWS-12) were calculated over the first 4-weeks, adjusting for sex, age and disease duration.

Results

Distributional fits determined that the best statistically-valid model across all subjects was a 3-compartment Gaussian Mixture Model (GMM) that characterizes the step behavior within 3 levels of activity: high, moderate and low. The correlation of GMM parameters for baseline step count measures with clinical assessments was improved when compared with STEPS (adjusted R² values GMM vs. STEPS: TUG: 0.536 vs. 0.419, T25FW: 0.489 vs. 0.402, MSWS-12: 0.383 vs. 0.378, EDSS: 0.557 vs. 0.465). The GMM correlated more strongly (Kruskal-Wallis: p = 0.0001) than STEPS and gave further information not included in STEPS.

Conclusions

Individuals' step distributions follow a 3-compartment GMM that better correlates with clinic-based performance measures compared with STEPS. These data support the existence of high-moderate-low levels of activity. GMM provides an interpretable framework to better understand the association between different levels of activity and clinical metrics and allows further analysis of walking behavior that takes step distribution and proportion of time at three levels of intensity into account.

Patterns and correlates of sedentary behaviour among people with multiple sclerosis: a cross-sectional study

High levels of sedentary behaviour are associated with poor health outcomes in people with multiple sclerosis (MS). Identifying modifiable correlates of sedentary behaviour for people with MS is essential to design effective intervention strategies to minimise sedentary time. This study aimed to quantify patterns and identify correlates of sedentary behaviour among adults with MS. Fatigue, self-efficacy, walking capability, the physical and psychological impact of MS, health-related quality of life, and participation and autonomy were assessed by questionnaire. Participants wore an activPAL monitor. Total (min/day), prolonged bouts (≥ 30 min) and breaks in sedentary time were calculated. Associations were examined using regression analysis adjusted for demographic and clinical confounders. Fifty-six adults with MS participated (mean ± SD age: 57.0 ± 9.25 years; 66% female). Self-efficacy for control over MS was associated with sedentary time (β = 0.16, 95% CI 0.01, 0.30). Self-efficacy in function maintenance (β = 0.02, 95% CI 0.00, 0.04), health-related quality of life (EuroQol-5D) (β = 31.60, 95% CI 7.25, 55.96), and the autonomy indoors subscale of the Impact on Participation and Autonomy Questionnaire (β = − 5.11, 95% CI − 9.74, − 0.485) were associated with breaks in sedentary time. Future studies should consider self-efficacy, health-related quality of life and participation and autonomy as potential components of interventions to reduce sedentary behaviour.

Preliminary efficacy of the "SitLess with MS" intervention for changing sedentary behaviour, symptoms, and physical performance in multiple sclerosis

PURPOSE

People with multiple sclerosis (MS) sit (i.e., are sedentary) more than peers. We examined the preliminary efficacy of an internet-based intervention that focuses on sitting less and moving more for changing sedentary behaviour outcomes, symptoms, QOL, and physical performance in adults with MS.

METHODS

Persons with mild-to-moderate disability from MS took part in a 15-week pre-post trial. Outcomes including sedentary behaviour, representative symptoms (e.g., fatigue, pain), QOL and physical performance measures (e.g., walking speed) were measured at three time points: pre-post intervention and at follow-up. An unstructured linear mixed-effects model was used to determine change over time per outcome.

RESULTS

Forty-one persons with MS participated (age 50 ± 10.3 years). There were significant reductions in total sedentary time (d = 0.34) and the number of long (≥30 min) bouts of sedentary time (d = 0.39) post-intervention. All symptoms and physical performance measures were significantly improved following the intervention, with effects sizes greatest for fatigue (d = 0.61) and depression (d = 0.79). Changes were maintained during the 7-week follow-up, except for all sedentary behaviour outcomes and sleep quality. Cognition did not change.

CONCLUSIONS

This study provides preliminary support for the efficacy of an intervention focused on sitting less and moving more for improving symptoms in adults with MS.IMPLICATIONS FOR REHABILITATIONThis research provides preliminary evidence that an intervention aimed at reducing sedentary behaviour and increasing light intensity activity throughout the day can have an impact.Fatigue, depression and anxiety, symptoms frequently encountered by people with MS, showed the greatest improvement following the intervention.Weekly coaching sessions including discussions about results from activity monitoring provided motivation for participants.

TRIAL REGISTRATION

The "SitLess with MS" feasibility study was registered at ClinicalTrials.gov Trial Registration Number: NCT03136744. Date of registration was 2 May 2017. Find at https://clinicaltrials.gov/ct2/show/NCT03136744.

Physical Activity and Sedentary Behavior Patterns Across Weekdays and Weekend Days in Youth With Multiple Sclerosis and Controls

Background:

This study quantified and compared weekday and weekend patterns of device-measured physical activity (PA) and sedentary behavior between youth with pediatric multiple sclerosis (MS) and controls for the purpose of informing future PA behavior change interventions.

Methods:

Participant data were obtained from 3 ongoing observational studies, and the sample included 40 participants with pediatric MS and 41 controls. Light PA (LPA), moderate to vigorous PA (MVPA), and sedentary behavior data were collected using activity monitors (ActiGraph LLC) over 1 week. The main analysis involved a 2-way mixed factor analysis of variance with group as a between-subjects factor (pediatric MS vs control) and day as a within-subjects factor (weekday vs weekend day).

Results:

There was no group by day interaction from the analysis of variance for percentage of activity monitor wear time spent in LPA, MVPA, or sedentary behavior. There was no effect of group for LPA, MVPA, or sedentary behavior. There was an effect of day of week on percentage of day spent in LPA, MVPA, and sedentary behavior.

Conclusions:

These results suggest that youth with pediatric MS and controls were less physically active and more sedentary on weekends than on weekdays, but there were no differences between groups in PA and sedentary behavior overall or by day of the week. Physical activity interventions may be more successful by initially targeting weekend day activity.

Quantitative Synthesis of Timed 25-Foot Walk Performance in Multiple Sclerosis

OBJECTIVE

To provide a meta-analysis of articles that have included the timed 25-foot walk (T25FW) in persons with multiple sclerosis (MS), quantify differences in T25FW scores between those with MS and controls without MS, and quantify differences between categories of disability status and clinical disease courses within MS.

DATA SOURCES

The literature search was conducted using 4 databases (Google Scholar, PubMed, Cumulative Index to Nursing and Allied Health, EBSCO Host). We searched reference lists of published articles to identify additional articles.

STUDY SELECTION

A systematic literature search identified articles reporting average T25FW performance in seconds between those with MS and controls without MS, between those with MS who had mild and moderate and/or severe disability status, and between relapsing-remitting and progressive clinical courses of MS.

DATA EXTRACTION

Information was extracted and categorized based on reported data: comparisons of controls without MS and MS, comparisons of mild and moderate and/or severe MS based on study-defined Expanded Disability Status Scale groups, and comparisons of relapsing-remitting and progressive MS clinical courses.

DATA SYNTHESIS

We performed a random effects meta-analysis to quantify differences between groups as estimated by effect sizes (ESs). We expressed the differences in Cohen d as well as the original units of the T25FW (ie, seconds).

CONCLUSIONS

There was a large difference in T25FW performance in MS compared with controls without MS (ES=-0.93, mean difference=2.4s, P<.01). Persons with moderate and/or severe disability walked substantially slower compared with mild disability (ES=-1.02, mean difference=5.4s, P<.01), and persons with progressive courses of MS walked substantially slower than relapsing-remitting MS (ES=-1.4, mean difference=13.4s, P<.01).

Sociodemographic and clinical correlates of device-measured sedentary behaviour in multiple sclerosis

PURPOSE

This study examined sociodemographic and clinical variables as correlates of device-measured volume and pattern of sedentary behaviour in persons with multiple sclerosis (MS).

MATERIALS AND METHODS

Participants were recruited through a standardised invitation letter distributed among 1000 persons randomly selected from the North American Research Committee on MS registry. Those who volunteered wore an accelerometer for 7 d and provided sociodemographic and clinical information.

RESULTS

There were 233 persons with MS who were included in the analyses. Linear regression analyses indicated that age and MS type explained significant variance in total sedentary time per day as well as number of breaks in sedentary time. Only disability status explained significant variance in sedentary bout length, whereas age explained significant variance in both number of long sedentary bouts per day. Both age and disability status explained significant variance total time spent in long sedentary bouts per day.

CONCLUSIONS

Persons of older age, progressive MS, and higher disability status spend prolonged, uninterrupted periods of time sedentary. Such results highlight the need for targeted interventions in sub-populations of MS that reduce time spent sedentary and break up the pattern of sedentary behaviour. Implications for Rehabilitation Sedentary behaviour is highly prevalent in multiple sclerosis and may be associated with comorbid conditions. The majority of research on sedentary behaviour in multiple sclerosis has been derived from self-report instruments that only measure the volume of sitting time per day. This study indicates that persons with multiple sclerosis spend a significant amount of time sedentary, and those who are older, have progressive multiple sclerosis, and have higher disability status spend prolonged, uninterrupted periods of time sedentary. Such results highlight the need for targeted behavioural interventions in these sub-populations of multiple sclerosis to reduce time spent sedentary and break the pattern of sedentary behaviour to manage its consequences.

The effectiveness of interventions targeting physical activity and/or sedentary behaviour in people with Multiple Sclerosis: a systematic review

Background: Remaining physically active is important to maintain functional ability and reduce the incidence of co-morbidities in people with Multiple Sclerosis. The aim of this review was to evaluate the effectiveness of interventions on physical activity or sedentary behaviour in people with Multiple Sclerosis.Methods: A systematic search was conducted in May 2018 of the following databases: Web of Science Core Collections, Embase and Medline. Included studies were randomised controlled trials involving people with Multiple Sclerosis who completed an intervention, compared to any comparator. Outcomes included subjective or objective measures of physical activity or sedentary behaviour. Quality assessment was performed using the Physiotherapy Evidence Database scale.Results: Twenty-five trials were included covering 1697 participants, the majority of which had mild-moderate disability (average Physiotherapy Evidence Database score 6.2 ± 1.5). Experimental interventions included exercise prescription (n = 5), behaviour change interventions (n = 10), combined exercise, and behaviour change techniques (n = 7) and education (n = 3). Generally, subjective but not objective physical activity improved in those with mild-moderate disability. Insufficient data existed on the effectiveness on sedentary behaviour.Conclusions: A discrepancy seems to exists between the effectiveness of physical activity interventions in people with Multiple Sclerosis depending on whether physical activity was assessed objectively or subjectively, with the latter indicating effects. Effects on sedentary behaviour remain to be elucidated.Implications for RehabilitationRemaining physically active is important to maintain functional ability, independence, quality of life, and to reduce the incidence of co-morbidity.Exercise prescription, behaviour change interventions, combined exercise and behaviour change interventions, and health promotion education appear to subjectively improve physical activity in people with Multiple Sclerosis with mild-moderate disability, yet this is often not the case when measured objectively.There is a lack of evidence to support the effectiveness of these interventions on sedentary behaviour.

Monitoring Physical Activity with Wearable Technologies

Living a healthy and fulfilling life or at least carrying on the daily activities inevitably depends on some physical activity in different scales. Therefore, measuring the physical activity is necessary to evaluate both healthy people and patients in order to plan their needs for wellbeing. Objective and accurate measurements can be made with wearable sensors and related technologies. Evaluating health and wellness, efficacy of treatment, safety, physical ability and disability are in the scope of monitoring physical activity with wearable technologies.

Sedentary Behavior and Blood Pressure in Patients with Multiple Sclerosis

Background

Sedentary behavior is a pervasive public health concern in the general population. To date, little is known regarding the possible health risks associated with sedentary behavior in patients with multiple sclerosis (MS), although this population has increased risks of comorbidities such as hypertension.

Methods

This cross-sectional study examined the association between sedentary behavior and blood pressure (BP) in 31 patients with MS and 31 matched controls. Self-reported sitting time, one form of sedentary behavior, was measured using the International Physical Activity Questionnaire. Using an automated oscillometric monitor, systolic BP, diastolic BP, and mean arterial pressure were measured in the supine position after 10 minutes of rest lying down in a quiet room.

Results

There were significant correlations between International Physical Activity Questionnaire-measured sitting time and systolic BP (r = 0.365, P = .044, 95% CI, 0.013-0.636), diastolic BP (r = 0.382, P = .034, 95% CI, 0.032-0.648), and mean arterial pressure (r = 0.425, P = .017, 95% CI, 0.084-0.677) in patients with MS but not in controls (P > .05). The associations in patients with MS were unchanged even after adjusting for body mass index in linear regression analyses.

Conclusions

This study identified a significant association between sitting time and BP outcomes in patients with MS, supporting the need for additional examinations of sitting time and its possible health consequences in patients with MS.

Sit less and move more: perspectives of adults with multiple sclerosis

PURPOSE

Multiple sclerosis is a chronic neurological disease with the highest prevalence in Canada. Replacing sedentary behavior with light activities may be a feasible approach to manage multiple sclerosis symptoms. This study explored the perspectives of adults with multiple sclerosis about sedentary behavior, physical activity and ways to change behavior.

METHODS

Fifteen adults with multiple sclerosis (age 43 ± 13 years; mean ± standard deviation), recruited through the multiple sclerosis Clinic at the University of Alberta, Edmonton, Canada, participated in semi-structured interviews. Interview audios were transcribed verbatim and coded. NVivo software was used to facilitate the inductive process of thematic analysis.

RESULTS

Balancing competing priorities between sitting and moving was the primary theme. Participants were aware of the benefits of physical activity to their overall health, and in the management of fatigue and muscle stiffness. Due to fatigue, they often chose sitting to get their energy back. Further, some barriers included perceived fear of losing balance or embarrassment while walking. Activity monitoring, accountability, educational and individualized programs were suggested strategies to motivate more movement.

CONCLUSIONS

Adults with multiple sclerosis were open to the idea of replacing sitting with light activities. Motivational and educational programs are required to help them to change sedentary behavior to moving more. IMPLICATIONS FOR REHABILITATION One of the most challenging and common difficulties of multiple sclerosis is walking impairment that worsens because of multiple sclerosis progression, and is a common goal in the rehabilitation of people with multiple sclerosis. The deterioration in walking abilities is related to lower levels of physical activity and more sedentary behavior, such that adults with multiple sclerosis spend 8 to 10.5 h per day sitting. Replacing prolonged sedentary behavior with light physical activities, and incorporating education, encouragement, and self-monitoring strategies are feasible approaches to manage the symptoms of multiple sclerosis.

Motion sensors in multiple sclerosis: Narrative review and update of applications

INTRODUCTION

The use of motion sensors for measuring physical activity in multiple sclerosis (MS) has evolved with increasing research particularly during the past decade. Areas covered: This manuscript reviews the literature regarding the application of motion sensors for measuring physical activity in MS. We first describe 'what is known' about their use in MS by examining the evidence generated between 1997 and 2012, including the psychometric properties of motion sensors in MS and the development of MS-specific accelerometer cut-points. We then evaluate 'what is new' based on research conducted between 2013 and 2017. This includes newer research on psychometric properties of motion sensors in MS, development of new MS-specific accelerometer and step-rate cut-points, sedentary behavior assessment, and research on fitness trackers and multisensors in MS. The final part presents a picture of 'what is next' for the applications of motion sensors in MS, especially pertaining new opportunities for testing and using fitness trackers in MS, and tracking disease and disability progression based on motion sensor output. Expert commentary: The use of motion sensors in MS has grown substantially over the years; however, a lot more can be done to explore the full potential and utility of these devices in MS.

Sedentary behaviour in people with multiple sclerosis: Is it time to stand up against MS?

Historically, people with multiple sclerosis (MS) have been considered sedentary, although the actual scientific study of sedentary behaviour in MS did not originate until 2011. Sedentary behaviour, which is conceptually distinct from physical inactivity, is defined as any waking activity characterised by an energy expenditure ⩽ 1.5 metabolic equivalents and in a sitting or reclining posture. In the general population, the volume of sitting time is associated with increased risks of morbidity and mortality, independent of physical activity, and has been suggested to carry a greater risk of mortality than smoking behaviour. There are many symptoms of MS (e.g. mobility disability and fatigue) that could increase the prevalence of sedentary behaviour, and sedentary behaviour may have considerable implications for the development of comorbid conditions prevalent in MS. This review provides a summary of the rates, correlates, consequences and interventions attempting to reduce sedentary behaviour in MS. We provide a research agenda that guides future research on sedentary behaviour in MS. This paper provides a clarion call that it is time to 'stand up against MS'.

Top 10 research questions related to physical activity and multiple sclerosis

An estimated 2.5 million people worldwide are living with multiple sclerosis (MS), and this disease may be increasing in prevalence. MS is a disease of the central nervous system that is associated with heterogeneous symptoms and functional consequences, and the current first-line disease-modifying therapies often become ineffective later in the disease. There is increasing evidence for the benefits of physical activity (PA) in people with MS, but this population is generally physically inactive and sedentary. We proposed 10 research questions to guide future research on PA and MS: (1) Is PA an MS disease-modifying behavior? (2) What are the benefits of PA among people with MS? (3) What is the optimal PA prescription for people with MS? (4) What are the safety issues with PA in people with MS? (5) What characteristics of people with MS modify the benefits of PA? (6) What variables explain participation in PA among people with MS? (7) What are effective behavioral interventions for PA change in people with MS? (8) How do we translate PA research into clinical MS practice? (9) What is the role of sedentary behavior in people with MS? And (10) what is the optimal measurement of PA in people with MS? These questions are critical for informing our understanding of the short- and long-term consequences of PA in MS as well as for identifying approaches for promoting and sustaining PA in MS. Addressing these questions may greatly improve the lives of people with this chronic disease.