Objective Advances in computer vision make it possible to combine low-cost cameras with algorithms, enabling biomechanical measures of body function and rehabilitation programs to be performed anywhere. We evaluated a computer vision system's accuracy and concurrent validity for estimating clinically relevant biomechanical measures. Design Cross-sectional study. Setting Laboratory. Participants Thirty-one healthy participants and 31 patients with axial spondyloarthropathy. Intervention a series of clinical functional tests (including the gold standard Bath Ankylosing Spondylitis Metrology Index tests). Each test was performed twice: the first performance was recorded with a camera, and a computer vision algorithm was used to estimate variables. During the second performance, a clinician measured the same variables manually. Main measures Joint angles and inter-limb distances. Clinician measures were compared with computer vision estimates. Results for all tests, clinician and computer vision estimates were correlated ( r2 values: 0.360–0.768). There were no significant mean differences between methods for shoulder flexion (left: 2 ± 14° (mean ± standard deviation), t = 0.99, p < 0.33; right: 3 ± 15°, t = 1.57, p < 0.12), side flexion (left: − 0.5 ± 3.1â€
cm, t = −1.34, p = 0.19; right: 0.5 ± 3.4â€
cm, t = 1.05, p = 0.30) and lumbar flexion ( − 1.1 ± 8.2â€
cm, t = −1.05, p = 0.30). For all other movements, significant differences were observed, but could be corrected using a systematic offset. Conclusion We present a computer vision approach that estimates distances and angles from clinical movements recorded with a phone or webcam. In the future, this approach could be used to monitor functional capacity and support physical therapy management remotely.

BACKGROUND: the association between diet, symptoms and health related quality of life in children and young people with Juvenile idiopathic arthritis (JIA) is not clearly understood. The objectives of this systematic review and meta-analysis were to explore the evidence for a relationship between nutritional status, dietary intake, arthritis symptoms, disease activity and health-related quality of life in children and young people with JIA considering both observational and interventional studies separately. METHOD: the databases PubMed, CINAHL, PsycINFO, Web of Science and Cochrane were searched in October 2019, updated in September 2020 and October 2021. Searches were restricted to English language, human and age (2-18 years old). Studies were included if they measured the effect of dietary supplements, vitamins or minerals, or diet in general, on quality of life and/ or arthritis symptom management. Two researchers independently screened titles and abstracts. Full texts were sourced for relevant articles. PRISMA guidelines were used for extracting data. For variables (vitamin D and disease activity), a random-effects meta-analysis model was performed. Two authors using a standardized data extraction form, extracted data independently. RESULTS: 11,793 papers were identified through database searching, 26 studies met our inclusion criteria with 1621 participants. Overall studies quality were fair to good. Results from controlled trial and case control studies with total 146 JIA patients, found that Æœ-3 PUFA improved the mean active joint count (p 

INTRODUCTION: a substantial proportion of COVID-19 survivors continue to have symptoms more than 3 months after infection, especially of those who required medical intervention. Lasting symptoms are wide-ranging, and presentation varies between individuals and fluctuates within an individual. Improved understanding of undulation in symptoms and triggers may improve efficacy of healthcare providers and enable individuals to better self-manage their Long Covid. We present a protocol where we aim to develop and examine the feasibility and usability of digital home monitoring for capturing daily fluctuation of symptoms in individuals with Long Covid and provide data to facilitate a personalised approach to the classification and management of Long Covid symptoms. METHODS AND ANALYSIS: This study is a longitudinal prospective cohort study of adults with Long Covid accessing 10 National Health Service (NHS) rehabilitation services in the UK. We aim to recruit 400 people from participating NHS sites. At referral to study, 6 weeks and 12 weeks, participants will complete demographic data (referral to study) and clinical outcome measures, including ecological momentary assessment (EMA) using personal mobile devices. EMA items are adapted from the COVID-19 Yorkshire Rehabilitation Scale items and include self-reported activities, symptoms and psychological factors. Passive activity data will be collected through wrist-worn sensors. We will use latent class growth models to identify trajectories of experience, potential phenotypes defined by co-occurrence of symptoms and inter-relationships between stressors, symptoms and participation in daily activities. We anticipate that n=300 participants provide 80% power to detect a 20% improvement in fatigue over 12 weeks in one class of patients relative to another. ETHICS AND DISSEMINATION: the study was approved by the Yorkshire & the Humber-Bradford Leeds Research Ethics Committee (ref: 21/YH/0276). Findings will be disseminated in peer-reviewed publications and presented at conferences. TRIAL REGISTRATION NUMBER: ISRCTN15022307.

BACKGROUND: the number of wearable technological devices or sensors that are commercially available for gait training is increasing. These devices can fill a gap by extending therapy outside the clinical setting. This was shown to be important during the COVID-19 pandemic when people could not access one-on-one treatment. These devices vary widely in terms of mechanisms of therapeutic effect, as well as targeted gait parameters, availability, and strength of the evidence supporting the claims. OBJECTIVE: This study aimed to create an inventory of devices targeting improvement in gait pattern and walking behavior and identify the strength of the evidence underlying the claims of effectiveness for devices that are commercially available to the public. METHODS: As there is no systematic or reproducible way to identify gait training technologies available to the public, we used a pragmatic, iterative approach using both the gray and published literature. Four approaches were used: simple words, including some suggested by laypersons; devices endorsed by condition-specific organizations or charities; impairment-specific search terms; and systematic reviews. A findable list of technological devices targeting walking was extracted separately by 3 authors. For each device identified, the evidence for efficacy was extracted from material displayed on the websites, and full-text articles were obtained from the scientific databases PubMed, Ovid MEDLINE, Scopus, or Google Scholar. Additional information on the target population, mechanism of feedback, evidence for efficacy or effectiveness, and commercial availability was obtained from the published material or websites. A level of evidence was assigned to each study involving the device using the Oxford Centre for Evidence-Based Medicine classification. We also proposed reporting guidelines for the clinical appraisal of devices targeting movement and mobility. RESULTS: the search strategy for this consumer-centered review yielded 17 biofeedback devices that claim to target gait quality improvement through various sensory feedback mechanisms. of these 17 devices, 11 (65%) are commercially available, and 6 (35%) are at various stages of research and development. of the 11 commercially available devices, 4 (36%) had findable evidence for efficacy potential supporting the claims. Most of these devices were targeted to people living with Parkinson disease. The reporting of key information about the devices was inconsistent; in addition, there was no summary of research findings in layperson's language. CONCLUSIONS: the amount of information that is currently available to the general public to help them make an informed choice is insufficient, and, at times, the information presented is misleading. The evidence supporting the effectiveness does not cover all aspects of technology uptake. Commercially available technologies help to provide continuity of therapy outside the clinical setting, but there is a need to demonstrate effectiveness to support claims made by the technologies.

Rehabilitation technologies are rapidly evolving, presenting promising interventions for people with neurological impairments. Access to technology, however, is greater in metropolitan than rural areas. Applying a capabilities approach to this access issue foregrounds healthcare recipients’ rights and personhood within the discourse on resource allocation. Within this context, this study aimed to investigate the economic viability of robotics-based therapy (RBT) in rural Victoria, Australia. A regional health network developed a model of care to provide equitable access to RBT following stroke. This explorative economic evaluation examined both the clinical and economic impact of RBT program implementation across six program iterations compared to 1:1 out-patient rehabilitation. While clinical outcomes were equivalent, the per patient RBT cost ranged from AUD 2681 (Program 1) to AUD 1957 (Program 6), while the per patient cost of usual care 1:1 out-patient rehabilitation, was AUD 2584. Excluding Program 1, the health service cost of usual care 1:1 out-patient rehabilitation was consistently higher, indicating that an established RBT program may be cost-effective, specifically providing less cost for the same effect. This research demonstrates the economic feasibility of delivering RBT in a regional public health stroke service. More broadly, it provided a reduction in the capability gap between rural and metropolitan stroke survivors by tackling an access disadvantage.

Physical Activity and Fatigue in Multiple Sclerosis: Secondary Outcomes from a Double-blinded Randomized Controlled Trial of Cocoa Flavonoid Drinks

Maedeh Mansoubi()1,2, Shelly Coe1,2,3, Jo Cossington1, Johnny Collet1,2, Miriam Clegg4, Jacqueline Palace5, Ana Cavey5, Gabriele C DeLuca5, Martin Ovington1 and Helen Dawes1,2,6 


1Center for Movement, Occupational and Rehabilitation Sciences, Oxford Institute of Nursing, Midwifery and Allied Health Research, Oxford Brookes University, Oxford, United Kingdom
2Oxford Clinical Allied Technology and Trial Services Unit (OxCATTS), Oxford, United Kingdom
3Oxford Brookes Center for Nutrition and Health, Oxford Brookes University, Oxford, United Kingdom
4Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, University of Reading, Reading, United Kingdom
5Department of Neurology, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
6Oxford Health NHS Foundation Trust, United Kingdom

© the Authors

 
Abstract
Fatigue is a common and pervasive symptom reducing physical activity in people with multiple sclerosis (pwMS). Exercise may reduce fatigue, although evidence to guide optimal prescription is limited. Specifically, supportive evidence for the timing of exercise for fatigue management or the impact of dietary supplements is unavailable. We performed intensive phenotyping of the interrelation of time of day, physical activity levels, and fatigue to evidence exercise prescription in 40 pwMS participating in a six week randomized controlled trial of morning flavonoid intake (n=19) or a control (n=21). Physical activity was measured over seven days by using an accelerometer at baseline, week three and week six. Participants self-reported their fatigue on a 1–10 rating scale at 10 am, 3 pm, and 8 pm daily. Physical activity levels were calculated for 2.5 h before and after fatigue was reported. Generalized estimating equations were used to explore the time of day fatigue profiles, the relationship of physical activity to fatigue, and the effect of morning flavonoids on this relationship. Participants experienced higher fatigue at 8 pm (4.64±2.29) than at 3 pm (4.39±2.28) and 10 am (3.90±2.10) (P<0.001). Higher fatigue was shown to predict subsequent lower physical activity behavior (P=0.015), but physical activity did not predict higher subsequent fatigue (P>0.05). Morning flavonoid cocoa consumption reduced the relationship of fatigue to physical activity (P=0.049) and fatigue to time of the day (P<0.001). Fatigue levels increased during the day and higher fatigue reduced physical activity in pwMS, but physical activity did not increase fatigue. In addition, morning cocoa reduced daytime fatigue and the relationship of fatigue to subsequent physical activity levels. Therefore morning exercise prescription is indicated; in combination with dietary flavonoids, it may optimize exercise and physical activity potential in pwMS.
Trial registration: ISRCTN69897291, https://doi.org/10.1186/ISRCTN69897291
Registration name: a study to determine whether the daily consumption of flavonoid-rich pure cocoa has the potential to reduce fatigue in people with relapsing-remitting multiple sclerosis (RRMS).
Consort Statement: in this study, we adhered to CONSORT guidelines. As this paper is a secondary analysis, we therefore did not repeat some parts in the methods, results, diagrams, or tables that have been published in the first paper authored by Coe et al. 2019.

The presentation of unhealthy psychological symptoms are rising sharply in adolescents. Detrimental lifestyle behaviours are proposed as both possible causes and consequences. This study set out to compare selected measures of quality and quantity of movement between adolescents with and without unhealthy psychological symptoms. Using a cross sectional design, 96 participants completed the study from a whole year group of 166, age (13.36 ± 0.48) male 50.6% from a secondary school in Oxfordshire, England as a part of a larger study (EPIC) between January and April 2018. Measures were taken of quality and quantity of movement: reaction/movement time, gait pattern & physical activity, alongside psychological symptoms. Differences in movement behaviour in relation to psychological symptom and emotional problem presentation were determined using ANOVA. In the event of a significant result for the main factor of each parameter, a Bonferroni -corrected post hoc test was conducted to show the difference between categories in each group. Results for both unhealthy psychological symptoms and emotional problems were grouped into four categories ('Close to average', 'slightly raised', 'high' and 'very high'). Early adolescents with very high unhealthy psychological symptoms had 16.79% slower reaction times (p = 0.003, ηp2 = 0.170), 13.43% smaller walk ratio (p = 0.007, ηp2 = 0.152), 7.13% faster cadence (p = 0.005, ηp2 = 0.149), 6.95% less step time (p = 0.007, ηp2 = 0.153) and 1.4% less vigorous physical activity (p = 0.04, ηp2 = 0.102) than children with close to average psychological symptoms. Early adolescents with very high emotional problems had 12.25% slower reaction times (p = 0.05, ηp2 = 0.081), 10.61% smaller walk ratio (p = 0.02, ηp2 = 0.108), 6.03% faster cadence (p = 0.01, ηp2 = 0.134), 6.07% shorter step time (p = 0.007, ηp2 = 0.141) and 1.78% less vigorous physical activity (p = 0.009, ηp2 = 0.136) than children with close to average emotional problems. Different movement quality and quantity of was present in adolescents with unhealthy psychological symptoms and emotional problems. We propose movement may be used to both monitor symptoms, and as a novel therapeutic behavioural approach. Further studies are required to confirm our findings.

PURPOSE: Sit-to-stand workstations are becoming common in modern offices and are increasingly being implemented in sedentary behavior interventions. The purpose of this study was to examine whether the introduction of such a workstation among office workers leads to reductions in sitting during working hours, and whether office workers compensate for any reduction in sitting at work by increasing sedentary time and decreasing physical activity (PA) outside work. METHODS: Office workers (n = 40; 55% female) were given a WorkFit-S, sit-to-stand workstation for 3 months. Participants completed assessments at baseline (before workstation installation), 1 wk and 6 wk after the introduction of the workstation, and again at 3 months (postintervention). Posture and PA were assessed using the activPAL inclinometer and ActiGraph GT3X+ accelerometer, which participants wore for 7 d during each measurement phase. RESULTS: Compared with baseline, the proportion of time spent sitting significantly decreased (75% ± 13% vs 52% ± 16% to 56% ± 13%), and time spent standing and in light activity significantly increased (standing: 19% ± 12% vs 32% ± 12% to 37% ± 15%, light PA: 14% ± 4% vs 16% ± 5%) during working hours at all follow-up assessments. However, compared with baseline, the proportion of time spent sitting significantly increased (60% ± 11% vs 66% ± 12% to 68% ± 12%) and light activity significantly decreased (21% ± 5% vs 19% ± 5%) during nonworking hours across the follow-up measurements. No differences were seen in moderate-to-vigorous activity during nonworking hours throughout the study. CONCLUSION: the findings suggest that introducing a sit-to-stand workstation can significantly reduce sedentary time and increase light activity levels during working hours. However, these changes were compensated for by reducing activity and increasing sitting outside of working hours. An intervention of a sit-to-stand workstation should be accompanied by an intervention outside of working hours to limit behavior compensation.

BACKGROUND: Sedentary behavior is defined as any waking behavior characterized by an energy expenditure of 1.5 METS or less while in a sitting or reclining posture. This study examines this definition by assessing the energy cost (METs) of common sitting, standing and walking tasks. METHODS: Fifty one adults spent 10 min during each activity in a variety of sitting tasks (watching TV, Playing on the Wii, Playing on the PlayStation Portable (PSP) and typing) and non-sedentary tasks (standing still, walking at 0.2, 0.4, 0.6, 0.8, 1.0, 1.2, 1.4, and 1.6 mph). Activities were completed on the same day in a random order following an assessment of resting metabolic rate (RMR). A portable gas analyzer was used to measure oxygen uptake, and data were converted to units of energy expenditure (METs). RESULTS: Average of standardized MET values for screen-based sitting tasks were: 1.33 (SD: 0.24) METS (TV), 1.41 (SD: 0.28) (PSP), and 1.45 (SD: 0.32) (Typing). The more active, yet still seated, games on the Wii yielded an average of 2.06 (SD: 0.5) METS. Standing still yielded an average of 1.59 (SD: 0.37) METs. Walking MET values increased incrementally with speed from 2.17 to 2.99 (SD: 0.5 - 0.69) METs. CONCLUSIONS: the suggested 1.5 MET threshold for sedentary behaviors seems reasonable however some sitting based activities may be classified as non-sedentary. The effect of this on the definition of sedentary behavior and associations with metabolic health needs further investigation.

To ascertain, through a systematic review, the associations between sedentary behaviour (SB) and physical activity (PA) among adults aged 18-60years. Studies published in English up to and including June 2013 were located from computerized and manual searches. Studies reporting on at least one measure of SB and an association with one measure of PA were included. 26 studies met the inclusion criteria. Six studies examined associations between SB and PA prospectively, and 20 were cross-sectional. The most commonly assessed subtype of sedentary behaviours were television viewing (11 studies), total sedentary time (10), total sitting time (4), general screen time (3) and occupational sedentary time (2). All studied types of SB were associated with lower levels of PA in adults. Findings of this review suggest inverse associations between SB and PA were weak to moderate. Objective monitoring studies reported larger negative associations between SB and light intensity activity. Current evidence, though limited, supports the notion that sedentary behaviour displaces light intensity activity.