Two Days of Measurement Provides Reliable Estimates of Physical Activity Poststroke: An Observational Study

Changes in Sedentary Behavior in the Chronic Phase Following Stroke

BACKGROUND

Sedentary behavior increases risk for cardiovascular diseases. Little is known about sedentary behavior through the chronic phase after stroke. We aimed to describe how long and short bouts of sedentary behavior changed over the first three years after stroke and if cognition at baseline was an independent risk factor for sedentary behavior.

METHODS

This is a sub-study of the Norwegian cognitive impairment after stroke (Nor-COAST) study, a multicenter study recruiting patients with acute stroke. Sedentary behavior was monitored with a thigh-worn sensor (ActivPal3®), at three-, 18- and 36-months post stroke. Stroke severity was assessed by National Institutes of Health Stroke Scale (NIHSS) and cognition by Montreal cognitive assessment (MoCA). Mixed model analysis with mean number of sedentary minutes accumulated daily as the dependent variable was repeated for all four zones (<30min, 30-60min, 60-90min, >90min) and for total sedentary time.

RESULTS

The number of included participants was 528 (mean age 71.4, NIHSS on day 1, 2.7). The total amount of sedentary time accumulated between 08.00-22.00 increased significantly from about 9.8 hours at three months to 10.1 hours at 36 months post stroke (p=0.002). Patient characteristics associated with prolonged duration of the sedentary bouts and sedentary time were age, high BMI, comorbidities, and impaired physical function. No significant associations between MoCA score and sedentary time were found.

CONCLUSION

The participants became increasingly sedentary and had fewer breaks in sedentary time from three to 36 months after stroke. Baseline cognition was not related to later sedentary behavior.

Longitudinal changes in physical activity accumulation patterns during 1-year follow-up in stroke survivors

PURPOSE

Few studies have reported changes in the accumulation patterns of physical activity over a year after stroke. This study characterized the longitudinal changes in physical activity levels and their accumulation patterns for a 1-year follow-up period in stroke survivors.

MATERIALS AND METHODS

In this single-center, prospective, longitudinal observational study, 47 stroke survivors were assessed at rehabilitation discharge and at 6 and 12 months post-discharge. Physical activity was evaluated, and measures included the number of steps, walking duration, total number of bouts per day, and intensity (light, moderate-to-vigorous) and spread (short, medium, and long bouts).

RESULTS

There were no significant main or interaction effects of time on any physical activity variables. Light physical activity accounted for 90% of all walking bouts and 70% of walking duration. Regarding moderate-to-vigorous physical activity (MVPA), 85% of walking bouts and 35% of walking duration were accumulated in short and medium bouts. The number of long-bout MVPA was three per day.

CONCLUSIONS

Physical activity levels and accumulation patterns were highly stable throughout the 12-month follow-up period. Accumulating light physical activity and intermittent MVPA is important for maintaining physical activity levels in stroke survivors. These findings will promote a better understanding of disability and rehabilitation practice.IMPLICATIONS FOR REHABILITATIONPhysical activity levels and accumulation patterns were highly stable throughout the 12-month follow-up period.The accumulation of moderate-to-vigorous physical activity in long bouts might be challenging for stroke survivors.Accumulating light physical activity and intermittent moderate-to-vigorous physical activity may be acceptable for stroke survivors.

Accelerometer-measured physical activity at 3 months as a predictor of symptoms of depression and anxiety 1 year after stroke: a multicentre prospective cohort study in central Norway

OBJECTIVES

To study sedentary behaviour and physical activity at 3 months as predictors for symptoms of depression and anxiety at 1-year post-stroke.

DESIGN

A prospective cohort study.

PATIENTS

Patients with first-ever ischaemic stroke.

METHODS

Mood was assessed 3- and 12-months post-stroke using the Hospital Anxiety and Depression Scale. Sedentary behaviour and physical activity were measured using accelerometry 3 months post-stroke.

RESULTS

A total of 292 participants (116 (39.7%) females; mean age 71.7 (standard deviation 11.3) years) were included. At 12 months, 16.7% experienced depression and 19.5% anxiety, respectively. Adjusting for age and sex, regression analysis showed that comorbidity burden (β 0.26; 95% confidence interval (95% CI) 0.02, 0.51; p = 0.038), stroke severity (β 0.22; 95% CI 0.10, 0.35; p = 0.001), functional disability (β 0.89, 95% CI 0.49, 1.30; p = 0.000), and global cognition (β-0.15; 95% CI -0.25, -0.05; p = 0.004) predicted depression. Multi-adjusted analysis showed sedentary behaviour and physical activity did not significantly predict depression or anxiety (p > 0.05).

CONCLUSION

Sedentary behaviour and physical activity did not significantly predict mood after stroke. Comorbidity burden, stroke severity, functional disability, and global cognition were identified as possible predictors of depression. More research is needed to determine the impact of physical activity on depression and anxiety symptoms.

Four Days Are Enough to Provide a Reliable Daily Step Count in Mild to Moderate Parkinson's Disease through a Commercial Smartwatch

Daily steps could be a valuable indicator of real-world ambulation in Parkinson's disease (PD). Nonetheless, no study to date has investigated the minimum number of days required to reliably estimate the average daily steps through commercial smartwatches in people with PD. Fifty-six patients were monitored through a commercial smartwatch for 5 consecutive days. The total daily steps for each day was recorded and the average daily steps was calculated as well as the working and weekend days average steps. The intraclass correlation coefficient (ICC) (3,k), standard error of measurement (SEM), Bland-Altman statistics, and minimum detectable change (MDC) were used to evaluate the reliability of the step count for every combination of 2-5 days. The threshold for acceptability was set at an ICC ≥ 0.8 with a lower bound of CI 95% ≥ 0.75 and a SAM < 10%. ANOVA and Mann-Whitney tests were used to compare steps across the days and between the working and weekend days, respectively. Four days were needed to achieve an acceptable reliability (ICC range: 0.84-0.90; SAM range: 7.8-9.4%). In addition, daily steps did not significantly differ across the days and between the working and weekend days. These findings could support the use of step count as a walking activity index and could be relevant to developing monitoring, preventive, and rehabilitation strategies for people with PD.

How should we measure physical activity after stroke? An international consensus

BACKGROUND

Physical activity is important for secondary stroke prevention. Currently, there is inconsistency of outcomes and tools used to measure physical activity following stroke.

AIM

To establish internationally agreed recommendations to enable consistent measurement of post-stroke physical activity.

METHODS

Stroke survivors and carers were surveyed online once regarding what is important in physical activity measurement. Three survey rounds with expert stroke researchers and clinicians were conducted using Keeney's Value-Focused Thinking Methodology. Survey 1 identified physical activity tools, outcomes, and measurement considerations which were ranked in Survey 2. Consensus recommendations on tools were then formulated by the consensus group based on survey responses. In Survey 3, participants reviewed ranked results and evidence gathered to determine their support for consensus recommendations.

RESULTS

Twenty-five stroke survivors, 5 carers, 18 researchers, and 17 clinicians from 16 countries participated. Time in moderate-vigorous physical activity and step count were identified as the most important outcomes to measure. Key measurement considerations included the ability to measure across frequency, intensity, duration domains in real-world settings; user-friendliness, comfort, and ability to detect changes. Consensus recommendations included using the Actigraph, Actical, and Activ8 devices for physical activity intensity; ActivPAL for duration and Step Activity Monitor for frequency; and the IPAQ and PASE questionnaires. Survey 3 indicated 100% support for device and 96% for questionnaire recommendations.

CONCLUSIONS

These consensus recommendations can guide selection of physical activity measurement tools and outcomes. Tool selection will depend on measurement purpose, user-knowledge, and resources. Comprehensive measurement requires the use of devices and questionnaires.

Association of Malnutrition With Physical Activity Intensity in Patients With Subacute Stroke

OBJECTIVE

To investigate the relationship between nutritional status measured by the Global Leadership Initiative on Malnutrition (GLIM) criteria and the intensity of physical activity, and to determine the association between these factors and the activities of daily living (ADLs) in patients with subacute stroke during hospitalization.

DESIGN

A cross-sectional study.

SETTING

The study was conducted in the rehabilitation unit at a neurosurgical hospital.

PARTICIPANTS

One hundred and twenty-eight patients with subacute stroke (N=128).

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

Nutritional status was assessed using GLIM criteria. Sedentary behavior (SB), light-intensity physical activity (LIPA), and moderate-to-vigorous physical activity (MVPA) were measured using an accelerometer. Multiple regression analysis was used to investigate the relationship between nutritional status and intensity of physical activity. Moreover, the association of nutritional status and physical activity intensity with ADLs was determined using multiple regression analysis and mediation analysis.

RESULTS

Malnutrition was associated with SB time (B = 16.241, P=.009) and LIPA time (B = -17.656, P=.002), but not MVPA time (B = -0.472, P=.776). SB time (B = -0.063, P=.009) and LIPA time (B = 0.093, P<.001) were associated with functional independence measure for motor function, while MVPA time (B = -0.080, P=.379) was not. SB time (coefficient = -10.785, P<.001) and LIPA time (coefficient = -12.054, P<.001) were significant mediators between nutrition status and ADLs.

CONCLUSIONS

Malnutrition was associated with a SB time and LIPA time, but not MVPA time, in patients with sub-acute stroke. SB and LIPA times were associated with ADLs and mediated between nutrition status and ADLs in these patients. The association of nutritional status on physical activity and ADLs should be considered in stroke rehabilitation.

Measurement properties of device-based physical activity instruments in ambulatory adults with physical disabilities and/or chronic diseases: a scoping review

BACKGROUND

People with physical disabilities and/or chronic diseases tend to have an inactive lifestyle. Monitoring physical activity levels is important to provide insight on how much and what types of activities people with physical disabilities and/or chronic diseases engage in. This information can be used as input for interventions to promote a physically active lifestyle. Therefore, valid and reliable physical activity measurement instruments are needed. This scoping review aims 1) to provide a critical mapping of the existing literature and 2) directions for future research on measurement properties of device-based instruments assessing physical activity behavior in ambulant adults with physical disabilities and/or chronic diseases.

METHODS

Four databases (MEDLINE, CINAHL, Web of Science, Embase) were systematically searched from 2015 to April 16th 2023 for articles investigating measurement properties of device-based instruments assessing physical activity in ambulatory adults with physical disabilities and/or chronic diseases. For the majority, screening and selection of eligible studies were done in duplicate. Extracted data were publication data, study data, study population, device, studied measurement properties and study outcome. Data were synthesized per device.

RESULTS

One hundred three of 21566 Studies were included. 55 Consumer-grade and 23 research-grade devices were studied on measurement properties, using 14 different physical activity outcomes, in 23 different physical disabilities and/or chronic diseases. ActiGraph (n = 28) and Fitbit (n = 39) devices were most frequently studied. Steps (n = 68) was the most common used physical activity outcome. 97 studies determined validity, 11 studies reliability and 6 studies responsiveness.

CONCLUSION

This scoping review shows a large variability in research on measurement properties of device-based instruments in ambulatory adults with physical disabilities and/or chronic diseases. The variability highlights a need for standardization of and consensus on research in this field. The review provides directions for future research.

Individuals with Higher Levels of Physical Activity after Stroke Show Comparable Patterns of Myelin to Healthy Older Adults

Background

Myelin asymmetry ratios (MARs) relate and contribute to motor impairment and function after stroke. Physical activity (PA) may induce myelin plasticity, potentially mitigating hemispheric myelin asymmetries that can occur after a stroke.

Objective

The aim of this study was to determine whether individuals with higher levels of PA showed lower MAR compared to individuals with lower levels of PA.

Methods

Myelin water fraction was obtained from 5 bilateral motor regions in 22 individuals with chronic stroke and 26 healthy older adults. Activity levels were quantified with wrist accelerometers worn for a period of 72 hours (3 days). Higher and lower PA levels were defined by a cluster analysis within each group.

Results

MAR was similar regardless of PA level within the older adult group. Compared to the higher PA stroke group, lower PA stroke participants displayed greater MAR. There was no difference in MAR between the stroke and older adult higher PA groups. Within the lower PA groups, individuals with stroke showed greater MAR compared to the older adults. Arm impairment, lesion volume, age, time since stroke, and preferential arm use were not different between the PA stroke groups, suggesting that motor impairment severity and extent of brain damage did not drive differences in PA.

Conclusion

Individuals who have had a stroke and are also physically active display lower MAR (i.e., similar myelin in both hemispheres) in motor regions. High levels of PA may be neuroprotective and mitigate myelin asymmetries once a neurological insult, such as a stroke, occurs. Alternately, it is possible that promoting high levels of PA after a stroke may reduce myelin asymmetries.

How Many Hours of Device Wear Time Are Required to Accurately Measure Physical Activity Post Stroke?

Background. Inadequate physical activity participation is a risk factor for secondary stroke. Before implementing appropriate management strategies, we need to accurately measure the physical activity of stroke survivors. We aimed to determine the duration of physical activity monitoring post-stroke that constitutes a valid day. Methods. We sampled stroke survivors’ physical activity for one week following discharge from inpatient rehabilitation using the Sensewear Armband (Bodymedia, Pittsburgh, PA, USA). To determine the impact of total daily wear time on activity estimate (sedentary, light, and moderate to vigorous physical activity) accuracy, we performed simulations, removing one, two, three, or four hours from a 14-h reference day, and analysed them with linear mixed models. Results. Sixty-nine participants (46 male, 65 ± 15 years) with 271 days of physical activity data were included. All physical activity variables were significantly underestimated for all data sets (10, 11, 12, or 13 h) compared to the 14-h reference data set. The number of days classified as not meeting physical activity recommendations increased as daily monitoring duration decreased: 13% misclassification with 10-h compared to 14-h dataset (p = 0.011). Conclusions. The accuracy of physical activity estimates increases with longer daily monitoring periods following stroke, and researchers should aim to monitor post-stroke physical activity for 14 daytime hours.

mHealth technologies used to capture walking and arm use behavior in adult stroke survivors: a scoping review beyond measurement properties

PURPOSE

We aimed to provide a critical review of measurement properties of mHealth technologies used for stroke survivors to measure the amount and intensity of functional skills, and to identify facilitators and barriers toward adoption in research and clinical practice.

MATERIALS AND METHODS

Using Arksey and O'Malley's framework, two independent reviewers determined eligibility and performed data extraction. We conducted an online consultation survey exercise with 37 experts.

RESULTS

Sixty-four out of 1380 studies were included. A majority reported on lower limb behavior (n = 32), primarily step count (n = 21). Seventeen studies reported on arm-hand behaviors. Twenty-two studies reported metrics of intensity, 10 reported on energy expenditure. Reliability and validity were the most frequently reported properties, both for commercial and non-commercial devices. Facilitators and barriers included: resource costs, technical aspects, perceived usability, and ecological legitimacy. Two additional categories emerged from the survey: safety and knowledge, attitude, and clinical skill.

CONCLUSIONS

This provides an initial foundation for a field experiencing rapid growth, new opportunities and the promise that mHealth technologies affords for envisioning a better future for stroke survivors. We synthesized findings into a set of recommendations for clinicians and clinician-scientists about how best to choose mHealth technologies for one's individual objective.Implications for RehabilitationRehabilitation professionals are encouraged to consider the measurement properties of those technologies that are used to monitor functional locomotor and object-interaction skills in the stroke survivors they serve.Multi-modal knowledge translation strategies (research synthesis, educational courses or videos, mentorship from experts, etc.) are available to rehabilitation professionals to improve knowledge, attitude, and skills pertaining to mHealth technologies.Consider the selection of commercially available devices that are proven to be valid, reliable, accurate, and responsive to the targeted clinical population.Consider usability and privacy, confidentiality and safety when choosing a specific device or smartphone application.

Feasibility and adherence to moderate intensity cardiovascular fitness training following stroke: a pilot randomized controlled trial

BACKGROUND

Stroke is a leading cause of disability worldwide and the cardiovascular fitness levels of stroke survivors are diminished to an extent that impairs functioning and activities of daily living performance. While cardiovascular training seems an empirically appropriate intervention, the optimal dosage and intensity of cardiovascular training in stroke survivors remains unclear. The aim was to determine the safety and feasibility of moderate-intensity cardiovascular training following stroke, including measurement of adherence to training.

METHODS

A pilot, prospective, patient- and assessor-blinded randomised controlled trial conducted in a tertiary, metropolitan hospital-based community rehabilitation centre. Eligibility criteria included ambulant (> 100 m), 6 weeks-12 months post stroke. Moderate-intensity fitness training or control (low-intensity) exercise was offered biweekly for 12 weeks. Outcome measures included adverse events, peak oxygen uptake (VO₂), functional exercise capacity (6-Minute Walk Test, 10-m Walk Test) and health-related quality of life (Short Form-36) and mood (Patient Health Questionnaire, PHQ9).

RESULTS

Feasibility: Seventy-one (50%) of 141 screened participants were eligible (29% did not agree to participate). Twenty participants (10 intervention, 10 control) were recruited. The median (%; IQR) supervised sessions was 19.5 (81%; 12, 20); and 20 (83%; 19, 22) in the intervention and control groups, respectively. Progression of duration and intensity was limited; mean of 10 sessions to achieve target duration (30 min). There were no adverse events. Baseline peak oxygen uptake (VO₂) levels were low (15.94 ml/kg/min). Significant improvements in VO₂ peak in both groups were observed (p < 0.05). Although there were no significant between-group differences, this feasibility trial was not powered to detect change.

CONCLUSIONS

Moderate-intensity fitness training was safe but achievement of target duration and intensity was challenging for stroke survivors. A definitive adequately-powered randomised trial is required. Alternative fitness training protocols may need to be explored.

TRIAL REGISTRATION

The trial protocol was prospectively registered on the Australian New Zealand Clinical Trials Registry ( ACTRN 12613000822785 ) on 25/07/2013.

Predictors of Daily Steps at 1-Year Poststroke: A Secondary Analysis of a Randomized Controlled Trial

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A 2-Year Longitudinal Study of Physical Activity and Cardiovascular Risk in Survivors of Stroke

OBJECTIVE

The purpose of this study was to explore associations between physical activity, cardiovascular risk factors, mobility, mood, fatigue, and cognition over 2 years following stroke rehabilitation discharge.

METHODS

In this longitudinal observational study, survivors of first-ever stroke were evaluated at rehabilitation discharge and 6, 12, and 24 months later. Moderate to vigorous physical activity (MVPA) duration (minutes/day) assessed with an electronic monitor was the primary outcome. Further outcomes included step count, the number and duration of MVPA and sedentary bouts, cardiovascular risk factors (eg, blood pressure, fasting lipid profile, body mass index [BMI]), gait speed and endurance, mood, fatigue, and cognition. Associations between physical activity and cardiovascular risk factors over time were assessed with random-effects regression modeling. Associations between baseline characteristics and physical activity at 2 years were explored using regression modeling.

RESULTS

Seventy-nine participants (68.4% men) with a mean age of 65 years (SD = 14) and a median gait speed of 1.2 m/s (interquartile range = 0.8 to 1.4) were included at baseline. Associations were found between higher physical activity (MVPA duration, number and duration of MVPA bouts) and lower BMI. Better gait speed, endurance, and cognition at baseline were associated with higher MVPA and step count at 2 years.

CONCLUSIONS

Duration and bouts of MVPA are associated with BMI. Increasing MVPA and bouts of MVPA may be a valuable treatment goal to reduce cardiovascular risk in survivors of stroke.

IMPACT

This 2-year study found that MVPA is associated with important cardiovascular risk factors in people who have survived stroke. Understanding these associations could be useful for developing effective treatments to prevent recurrent stroke.

LAY SUMMARY

Performing MVPA and accumulating in bouts of at least 10 minutes might be challenging, but it could be an important component of treatments to reduce cardiovascular risk after stroke.

Comparison of physical properties of voluntary coughing, huffing and swallowing in healthy subjects

Coughing, huffing and swallowing protect the airway from aspiration. This study was conducted to compare the physical properties of voluntary coughing, huffing and swallowing in healthy subjects. Ten healthy men were asked to huff, cough and swallow repeatedly. Electromyograms (EMGs) were recorded from the left side of the external oblique (EO), sternocleidomastoid, suprahyoid (SH) and thyrohyoid muscles. Airflow was recorded using a face mask with two-way non-rebreathing valves. The expiratory velocity of huffing and coughing and the SH EMG of all actions presented high intraclass correlation coefficients (> 0.8). The inspiratory and expiratory velocities did not differ significantly between coughing and huffing. The expiratory acceleration of coughing was significantly higher than that of huffing, whereas the expiratory volume of coughing was significantly smaller than that of huffing. The EO EMG of coughing and huffing were significantly larger than that of swallowing. The EO EMG activity during the expiratory phase was significantly higher than that of the other phases of both coughing and huffing. The SH EMG of coughing and huffing were significantly smaller than that of swallowing. Correlation analysis revealed that the expiratory velocity of coughing was strongly positively correlated with that of huffing. The expiratory volume of huffing was significantly positively correlated with hand grip strength. These results suggest that EO and SH muscle activities during huffing or coughing differ those during swallowing, and huffing and coughing may work similarly in expiratory function.

Adherence to physical activity and cardiovascular recommendations during the 2years after stroke rehabilitation discharge

BACKGROUND

Objective measurement is essential to represent habitual physical activity. To date only one study has objectively measured physical activity for>12months after stroke.

OBJECTIVES

This study aimed to measure physical activity, cardiovascular risk factors, mobility, mood, fatigue and cognition during the 2years after rehabilitation discharge and to investigate whether stroke survivors meet physical activity and cardiovascular risk recommendations.

METHODS

This was a longitudinal observational study. Survivors of a first-ever stroke admitted to a large metropolitan rehabilitation hospital were recruited. Outcomes were measured at rehabilitation discharge and 6, 12 and 24months later. Outcomes were physical activity measured by the SenseWear Armband (e.g., moderate-vigorous physical activity, steps/day) and cardiovascular risk factors (e.g., blood pressure, fasting lipid profile and plasma glucose, waist circumference, body mass index), mobility, mood, fatigue and cognition. Changes over time were evaluated with random-effects regression modelling.

RESULTS

Participants (n=79, 33% female) had mean (SD) age of 65 (14) years and median gait speed 1.2m/s (interquartile range: 0.8-1.4) at baseline. We found no change in physical activity levels over time. Step count and time spent in bouts of moderate-vigorous physical activity remained low. Many participants achieved the recommended 30min of daily moderate-vigorous physical activity at baseline, but this was decreased at 2years (72% [57/79] versus 65% [37/57]). Adherence to cardiovascular recommendations decreased over time, notably for body mass index, plasma glucose and triglyceride levels. Waist circumference and body mass index increased at each time point relative to baseline (by a mean of 3.2cm and 1.2kg.m², respectively, at 2years, P<0.01).

CONCLUSIONS

This is the largest longitudinal study of objectively measured physical activity after stroke. Adherence to cardiovascular risk recommendations decreased over time post-stroke, and physical activity levels remained low. Stroke survivors may benefit from annual multidisciplinary reviews to identify increasing risk and initiate appropriate interventions.

Fatigue and activity after stroke. Secondary results from the Life After Stroke study

OBJECTIVES

The aim of this study was to describe how the prevalence of fatigue changed from the subacute phase to the chronic phase after stroke, and to investigate how activity was associated with fatigue among participants included in the randomized controlled multicentre-study Life After STroke (LAST).

METHODS

The present study represents secondary analysis based on data from the LAST study. One-hundred-and-forty-five patients with mild and moderate stroke (mean (SD) age: 71.5 (10.5) years, 57.2% males) recruited from St. Olav's University Hospital were included. Fatigue was assessed by the Fatigue Severity Scale (FSS-7) at inclusion, 3 months after stroke, and at follow-up 18 months later. activPAL was used to measure activity at follow-up.

RESULTS

A total of 46 (31.7%) participants reported fatigue at inclusion and 43 (29.7%) at follow-up (p = .736). In the univariable regression analysis, sedentary behaviour, walking and sedentary bouts were significantly associated with fatigue (p ≤ .015), whereas only time spent walking was significantly associated with fatigue in the multivariable regression analysis (p = .017).

CONCLUSIONS

The present study showed that fatigue is a common symptom after stroke and that the prevalence of fatigue remained unchanged from the subacute to the chronic phase. The study also showed that increased time spent walking was strongly related to lower fatigue, while no such associations were found between the other activity categories and fatigue.

Modifiable Factors Associated With Poststroke Physical Activity at Discharge From Rehabilitation: Prospective Cohort Study

BACKGROUND

People with stroke are not meeting recommended levels of physical activity. The modifiable factors associated with poststroke physical activity levels need to be identified to develop targeted interventions.

OBJECTIVE

The objective of this study was to investigate the factors at discharge from inpatient rehabilitation that are associated with physical activity levels at 3 months following discharge.

DESIGN

This was a prospective cohort study.

METHODS

Sixty-four people with stroke completed baseline assessments at discharge from inpatient rehabilitation and 55 completed the follow-up 3 months later. The candidate factors (ie, gait speed, balance, strength, cognition, mood, and motivation) were measured at discharge. The primary outcome measure at follow-up was walking-related activity (measured by wrist-worn accelerometer). Secondary outcome measures were physical activity participation (Activity Card Sort) and intensity of physical activity (International Physical Activity Questionnaire-Short 7 days). Adjusted separate multivariable linear regression models or proportional odds regression models were used to evaluate the associations between candidate factors and physical activity.

RESULTS

Gait speed and balance were associated with all aspects of physical activity. Higher level of intrinsic motivation was also associated with higher physical activity participation. Anxiety demonstrated a significant nonlinear relationship with physical activity participation.

LIMITATIONS

Inclusion of fatigue and individual muscle strength could have provided further insights into associations with steps per day.

CONCLUSION

The results demonstrated that better physical function at discharge from inpatient rehabilitation was associated with future increased levels of physical activity. Additionally, higher levels of motivation impacted on increased physical activity participation. The influence of anxiety on physical activity participation requires further exploration. Mixed-method study designs can be utilized to further understand the factors associated with poststroke physical activity.

Using an Accelerometer-Based Step Counter in Post-Stroke Patients: Validation of a Low-Cost Tool

Monitoring the real-life mobility of stroke patients could be extremely useful for clinicians. Step counters are a widely accessible, portable, and cheap technology that can be used to monitor patients in different environments. The aim of this study was to validate a low-cost commercial tri-axial accelerometer-based step counter for stroke patients and to determine the best positioning of the step counter (wrists, ankles, and waist). Ten healthy subjects and 43 post-stroke patients were enrolled and performed four validated clinical tests (10 m, 50 m, and 6 min walking tests and timed up and go tests) while wearing five step counters in different positions while a trained operator counted the number of steps executed in each test manually. Data from step counters and those collected manually were compared using the intraclass coefficient correlation and mean average percentage error. The Bland–Altman plot was also used to describe agreement between the two quantitative measurements (step counter vs. manual counting). During walking tests in healthy subjects, the best reliability was found for lower limbs and waist placement (intraclass coefficient correlations (ICCs) from 0.46 to 0.99), and weak reliability was observed for upper limb placement in every test (ICCs from 0.06 to 0.38). On the contrary, in post-stroke patients, moderate reliability was found only for the lower limbs in the 6 min walking test (healthy ankle ICC: 0.69; pathological ankle ICC: 0.70). Furthermore, the Bland–Altman plot highlighted large average discrepancies between methods for the pathological group. However, while the step counter was not able to reliably determine steps for slow patients, when applied to the healthy ankle of patients who walked faster than 0.8 m/s, it counted steps with excellent precision, similar to that seen in the healthy subjects (ICCs from 0.36 to 0.99). These findings show that a low-cost accelerometer-based step counter could be useful for measuring mobility in select high-performance patients and could be used in clinical and real-world settings.

An investigation into the validity and reliability of mHealth devices for counting steps in chronic stroke survivors

Objective:

To investigate the validity and test–retest reliability of mHealth devices (Google Fit, Health, STEPZ, Pacer, and Fitbit Ultra) to estimate the number of steps in individuals after chronic stroke and to compare whether the measurement of the number of steps is affected by their location on the body (paretic and non-paretic side).

Design:

Observational study with repeated measures.

Setting:

University laboratory.

Subjects:

Fifty-five community-dwelling individuals with chronic stroke.

Intervention:

Not applicable.

Main measures:

The number of steps was measured using mHealth devices (Google Fit, Health, STEPZ, Pacer, and Fitbit Ultra), and compared against criterion-standard measure during the Two-Minute Walk Test using habitual speed.

Results:

Our sample was 54.5% men, mean age of 62.5 years (SD 14.9) with a chronicity after stroke of 66.8 months (SD 55.9). There was a statistically significant association between the actual number of steps and those estimated by the Google Fit, STEPZ Iphone and Android applications, Pacer iphone and Android, and Fitbit Ultra (0.30 ⩽  r ⩾ 0.80). The Pacer iphone application demonstrated the highest reliability coefficient (ICC(2,1) = 0.80; P < 0.001). There were no statistically significant differences in device measurements that depended on body location.

Conclusions:

mHealth devices (Pacer–iphone, Fitbit Ultra, Google Fit, and Pacer–Android) are valid and reliable for step counting in chronic stroke survivors. Body location (paretic or non-paretic side) does not affect validity or reliability of the step count metric.

Low gait speed is associated with low physical activity and high sedentary time following stroke

PURPOSE

This study describes physical activity levels and factors associated with physical activity at the end of stroke rehabilitation.

METHODS

Primary stroke survivors were assessed at completion of physical rehabilitation. Outcomes included physical activity (e.g. step count, moderate-vigorous physical activity duration) and sedentary time measured with the Sensewear Armband, gait speed, and cognition. The number of participants meeting physical activity recommendations was calculated. Differences in physical activity were examined between household ambulators (gait speed <0.4 m/s), limited community ambulators (0.4-0.8 m/s), and unlimited community ambulators (>0.8 m/s). The influence of age, cognition, and gait speed on physical activity was determined by multiple regression.

RESULTS

Seventy-nine stroke survivors participated. Twenty-one participants achieved 30 min/day of moderate-vigorous physical activity accumulated in 10 min bouts. Unlimited community ambulators took more steps/day (median 4975 vs. 469 limited, 355 household, p < 0.001), had higher moderate-vigorous physical activity (median 74 min/day vs. 22 limited, 31 household, p < 0.001) and lower sedentary time (mean 1105 vs. 1239 limited, 1232 household minutes/day, p < 0.001). Age, gait speed, and cognition predicted 21.3% of the variance in moderate-vigorous physical activity (p = 0.001); adding employment status to the model predicted 57.3% of the variance in step count (p < 0.001).

CONCLUSIONS

Physical activity is low following stroke and should be a target for treatment, particularly in those with gait speeds ≤0.8 m/s.Implications for rehabilitationSeventy-three percent of stroke survivors performed ≥30 minutes of moderate to vigorous physical activity throughout the day.Twenty-seven percent of stroke survivors accumulated ≥30 minutes of moderate to vigorous physical activity in 10 minute bouts.Despite relatively good physical ability, daily step count was low in this sample.Those with gait speeds ≤0.8 m/s had lower physical activity levels and higher sedentary time.