Predictors of Sustained Physical Activity During the COVID-19 Pandemic in People With Parkinson Disease in Sweden.

BACKGROUND AND PURPOSE: During the first wave of the COVID-19 pandemic, people with Parkinson disease (PwPD) reported deterioration in health and physical activity. The aim of this study was to describe 1-year changes in physical activity and perceived health in PwPD during the COVID-19 pandemic and to identify predictors of sustained physical activity. METHODS: This study compared perceived health and sensor-derived physical activity (Actigraph GT3x) in PwPD between the first (June to July 2020) and third waves (June to July 2021) of the pandemic. Multiple logistic regression analyses were used to predict sustained physical activity across the study period using personal factors, disease severity, and functioning as independent variables. RESULTS: Sixty-three PwPD (mean age 71.0 years, 41% females) completed both baseline and 1-year follow-up (26 lost to follow-up). PwPD showed a decrease in average number of steps per day (Δ415 steps, P = 0.048), moderate-to-vigorous-physical activity (Δ7 minutes, P = 0.007) and increase in sedentary time (Δ36 minutes, P <.001) between baseline and 1-year follow-up. While self-perceived walking impairments and depressive symptoms increased significantly, balance confidence decreased between baseline and 1-year follow-up, no significant changes occurred for self-rated health, quality of life, or anxiety. Significant predictors of sustained physical activity levels were 15 years or more of education (odds ratio [OR] = 7.38, P = 0.013) and higher perceived walking ability (OR = 0.18, P = 0.041). DISCUSSION AND CONCLUSION: Among PwPD with mild to moderate disease severity living in Sweden, factors associated with reduced physical activity levels during the COVID-19 pandemic included older age, lower education levels, and greater perceived walking difficulties.

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.

The Role of Environmental Factors on Health Conditions, General Health and Quality of Life in Persons with Spinal Cord Injuries in South Africa.

OBJECTIVE: The objective was to describe the individual items of the environmental factors and to investigate the relationship between the environmental factors to health conditions, general health and quality of life in people with SCI in South Africa. METHODS: Two hundred persons with SCI participated in a cross-sectional survey design. This study formed part of the International Spinal Cord Injury (InSCI) Community Survey. Four major domains, environmental factors, health conditions, general health and quality of life of the survey questionnaire responses, were used for the analysis. Regression models were used to determine the association between the independent variable, which consisted of the specific environmental factors items, and the dependent variables comprising health conditions, general health and quality of life. RESULTS: The commonly reported environmental barriers were public access, lack of short- and long-distance transport and finances. Environmental factors such as public access (p < 0.001), short- (p < 0.001) and long-distance transport (p = 0.001), and friends' (p = 0.003) and colleagues' (p < 0.001) attitudes and communication (p = 0.042) were significantly associated with the presence of secondary health conditions. Finances (p = 0.026), family attitudes (p = 0.037) and communication (p = 0.039) had a significant association with worsened mental health. Services (p = 0.022) and communication (p = 0.042) were also significantly associated with decreased general health. CONCLUSION: The results provide insight into modifiable environmental factors policymakers need to consider or adapt to improve the lives of people with SCI in South Africa with respect to health (secondary health conditions), as well as general and mental health.

Acute exercise as active inference in chronic musculoskeletal pain, effects on gait kinematics and muscular activity in patients and healthy participants: a study protocol for a randomised controlled laboratory trial.

INTRODUCTION: Chronic musculoskeletal pain is a highly prevalent, complex and distressing condition that may negatively affect all domains of life. In view of an active inference framework, and resting on the concept of allostasis, human movement per se becomes a prerequisite for health and well-being while chronic pain becomes a sign of a system unable to attenuate an allostatic load. Previous studies on different subgroups of chronic pain conditions have demonstrated alterations in gait kinematics and muscle activity, indicating shared disturbances in the motor system from long-term allostatic load. We hypothesise that such alterations exist in heterogenous populations with chronic musculoskeletal pain, and that exposure to acute and controlled exercise may attenuate these alterations. Therefore, the main aim of this study is to investigate the acute effects of exercise on gait kinematics and activity of the back and neck muscles during diverse walking conditions in patients with chronic musculoskeletal pain compared with a reference sample consisting of healthy participants. METHODS AND ANALYSIS: This two-sample two-armed parallel randomised controlled laboratory trial will include 40 participants with chronic musculoskeletal pain (>3 months) and 40 healthy participants. Participants will be randomly allocated to either 30 min of aerobic exercise or rest. Primary outcomes are gait kinematics (walking speed, step frequency, stride length, lumbar rotation, gait stability) and muscular activity (spatial and temporal) of the back and neck during diverse walking conditions. Secondary outcomes are variability of gait kinematics and muscle activity and subjective pain ratings assessed regularly during the trial. ETHICS AND DISSEMINATION: The study has been approved by the Regional Ethics Review Board in Uppsala, Sweden (#2018/307). Findings will be disseminated via conference presentations, publications in peer-reviewed journals and engagement with patient support groups and clinicians. TRIAL REGISTRATION NUMBER: NCT03882333.

Factors influencing employment among people with spinal cord injury in South Africa.

PURPOSE: The unemployment rate post spinal cord injury (SCI) in South Africa is high with limited knowledge of environmental factors outside the health services, especially in an unevenly developed resource setting like South Africa, affecting the employment rate in people with SCI. Our purpose was to investigate factors associated with employment in people with SCI in South Africa. METHODS: Two hundred persons with SCI participated in a cross-sectional survey design. This study formed part of the International Spinal Cord Injury Community Survey. Subsections of the questionnaire responses were used as explanatory variables to predict employment after SCI using logistic regression analysis. RESULTS: The response rate of the study was 54%. Of the 200 participants included, 61% reported being employed before SCI onset whereas only 25% reported being engaged in paid work at the time of this study. The logistic regression model showed not requiring physical assistance in the home environment (p = 0.016), the number of education years before SCI (p = 0.007), household income (p < 0.001), having worked before SCI onset (p = 0.041), and environmental factors (p = 0.029) to be factors associated with employment after SCI. CONCLUSION: The finding suggests multiple factors influence the employment rate, advocating for interdisciplinary rehabilitation approaches and social development interventions to address meaningful occupations in persons with SCI in South Africa.Implications for rehabilitationRehabilitation programs should be adapted and tailored to enhance physical independence.Public policies regarding environmental factors such as access to reliable transport, assistive devices, and public places for wheelchair users are important and could potentially support individuals with spinal cord injury (SCI) becoming employed/re-employed.For successful social/community/civic reintegration for individuals with SCI an intersectional collaboration (i.e., between policymakers, health professionals, and the labor market) needs to be considered to improve the employment opportunities post-SCI.

Establishing Accelerometer Cut-Points to Classify Walking Speed in People Post Stroke.

While accelerometers could be used to monitor important domains of walking in daily living (e.g., walking speed), the interpretation of accelerometer data often relies on validation studies performed with healthy participants. The aim of this study was to develop cut-points for waist- and ankle-worn accelerometers to differentiate non-ambulation from walking and different walking speeds in people post stroke. Forty-two post-stroke persons wore waist and ankle accelerometers (ActiGraph GT3x+, AG) while performing three non-ambulation activities (i.e., sitting, setting the table and washing dishes) and while walking in self-selected and brisk speeds. Receiver operating characteristic (ROC) curve analysis was used to define AG cut-points for non-ambulation and different walking speeds (0.41−0.8 m/s, 0.81−1.2 m/s and >1.2 m/s) by considering sensor placement, axis, filter setting and epoch length. Optimal data input and sensor placements for measuring walking were a vector magnitude at 15 s epochs for waist- and ankle-worn AG accelerometers, respectively. Across all speed categories, cut-point classification accuracy was good-to-excellent for the ankle-worn AG accelerometer and fair-to-excellent for the waist-worn AG accelerometer, except for between 0.81 and 1.2 m/s. These cut-points can be used for investigating the link between walking and health outcomes in people post stroke.

Accelerometer assessed upper limb activity in people with stroke: a validation study considering ambulatory and non-ambulatory activities.

PURPOSE: Accelerometry measurements are a promising method to provide quantitative information of upper limb function in daily life post stroke. Our purpose was to investigate i) the validity of accelerometer-based vector magnitude ratios (VMR) to distinguish upper limb function between individuals post-stroke and healthy controls during ambulatory and non-ambulatory activities and, ii) the association between the VMR and clinical assessment of upper limb function for individuals post-stroke. METHODS: Forty persons with stroke and 32 healthy controls wore wrist and hip accelerometers while performing three upper limb activities in a clinical setting and during three days in daily living. Clinical assessment of upper limb function was assessed with the Chedoke-McMaster Stroke Assessment measure and ABILHand. RESULTS: In the clinical setting and daily living, the VMR was significantly lower for individuals post-stroke compared to controls during non-ambulatory activities but not during ambulatory activities. There was a moderate to strong association between VMR and clinical assessment of upper limb function during all conditions, except for walking in the clinical setting. CONCLUSION: The VMR could be used as a sensitive objective marker to measure upper limb function post-stroke during ambulatory and non-ambulatory daily activities.Implications for rehabilitationAccelerometer-based assessment of upper limb function is a sensitive measure of upper limb function post stroke during different activity domains.Accelerometers-based assessment of arm function can detect differences in arm function outside the clinical setting (daily living) over a prolonged period that are not always identified by clinical assessment or perceived ability.

Validity of Hip and Ankle Worn Actigraph Accelerometers for Measuring Steps as a Function of Gait Speed during Steady State Walking and Continuous Turning.

This study aimed to investigate the accuracy and reliability of hip and ankle worn Actigraph GT3X+ (AG) accelerometers to measure steps as a function of gait speed. Additionally, the effect of the low frequency extension filter (LFEF) on the step accuracy was determined. Thirty healthy individuals walked straight and walked with continuous turns in different gait speeds. Number of steps were recorded with a hip and ankle worn AG, and with a Stepwatch (SW) activity monitor positioned around the right ankle, which was used as a reference for step count. The percentage agreement, interclass correlation coefficients and Bland-Altmann plots were determined between the AG and the reference SW across gait speeds for the two walking conditions. The ankle worn AG with the default filter was the most sensitive for step detection at >0.6 m/s, whilst accurate step detection for gait speeds < 0.6 m/s were only observed when applying the LFEF. The hip worn AG with the default filter showed poor accuracy (12-78%) at gait speeds < 1.0 m/s whereas the accuracy increased to >87% for gait speeds < 1.0 m/s when applying the LFEF. Ankle worn AG was the most sensitive to measure steps at a vast range of gait speeds. Our results suggest that sensor placement and filter settings need to be taken into account to provide accurate estimates of step counts.