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      Validation of a tri-axial accelerometer for measuring physical activity in patients with subacute stroke

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          Abstract

          Purpose

          This study aimed to validate the accuracy of the Active Style Pro HJA-750C (ASP) in measuring metabolic equivalents (METs) during walking and reaching tasks in individuals with subacute stroke using a respiratory gas analyzer as a reference.

          Methods

          Twenty-three hospitalized patients with subacute stroke participated in this study. They performed sitting and standing reaching tasks, as well as walking while wearing a VO2 Master respiratory gas analyzer and ASP devices on both the paretic and non-paretic sides. The METs values recorded by the ASP were compared with those obtained using a VO2 Master respiratory gas analyzer. Pearson's correlation coefficients were calculated for each task, and Bland–Altman plots were used to assess the agreement between the two methods.

          Results

          The ASP demonstrated good concurrent validity, with correlation coefficients of 0.71 and 0.74 for the sitting reaching task, 0.75 and 0.79 for the standing reaching task, and 0.83 and 0.85 for walking when the ASP was placed on the paretic and non-paretic sides, respectively. Bland–Altman analysis indicated no significant fixed or proportional errors. The ASP accurately measures METs whether worn on the affected or unaffected side of the waist.

          Conclusion

          The ASP provides valid measurements of physical activity during walking and reaching tasks in patients with subacute stroke. These findings suggest that ASP is a valuable tool for monitoring physical activity in clinical rehabilitation settings.

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          Most cited references31

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          Global, regional, and national burden of stroke and its risk factors, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

          Summary Background Regularly updated data on stroke and its pathological types, including data on their incidence, prevalence, mortality, disability, risk factors, and epidemiological trends, are important for evidence-based stroke care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) aims to provide a standardised and comprehensive measurement of these metrics at global, regional, and national levels. Methods We applied GBD 2019 analytical tools to calculate stroke incidence, prevalence, mortality, disability-adjusted life-years (DALYs), and the population attributable fraction (PAF) of DALYs (with corresponding 95% uncertainty intervals [UIs]) associated with 19 risk factors, for 204 countries and territories from 1990 to 2019. These estimates were provided for ischaemic stroke, intracerebral haemorrhage, subarachnoid haemorrhage, and all strokes combined, and stratified by sex, age group, and World Bank country income level. Findings In 2019, there were 12·2 million (95% UI 11·0–13·6) incident cases of stroke, 101 million (93·2–111) prevalent cases of stroke, 143 million (133–153) DALYs due to stroke, and 6·55 million (6·00–7·02) deaths from stroke. Globally, stroke remained the second-leading cause of death (11·6% [10·8–12·2] of total deaths) and the third-leading cause of death and disability combined (5·7% [5·1–6·2] of total DALYs) in 2019. From 1990 to 2019, the absolute number of incident strokes increased by 70·0% (67·0–73·0), prevalent strokes increased by 85·0% (83·0–88·0), deaths from stroke increased by 43·0% (31·0–55·0), and DALYs due to stroke increased by 32·0% (22·0–42·0). During the same period, age-standardised rates of stroke incidence decreased by 17·0% (15·0–18·0), mortality decreased by 36·0% (31·0–42·0), prevalence decreased by 6·0% (5·0–7·0), and DALYs decreased by 36·0% (31·0–42·0). However, among people younger than 70 years, prevalence rates increased by 22·0% (21·0–24·0) and incidence rates increased by 15·0% (12·0–18·0). In 2019, the age-standardised stroke-related mortality rate was 3·6 (3·5–3·8) times higher in the World Bank low-income group than in the World Bank high-income group, and the age-standardised stroke-related DALY rate was 3·7 (3·5–3·9) times higher in the low-income group than the high-income group. Ischaemic stroke constituted 62·4% of all incident strokes in 2019 (7·63 million [6·57–8·96]), while intracerebral haemorrhage constituted 27·9% (3·41 million [2·97–3·91]) and subarachnoid haemorrhage constituted 9·7% (1·18 million [1·01–1·39]). In 2019, the five leading risk factors for stroke were high systolic blood pressure (contributing to 79·6 million [67·7–90·8] DALYs or 55·5% [48·2–62·0] of total stroke DALYs), high body-mass index (34·9 million [22·3–48·6] DALYs or 24·3% [15·7–33·2]), high fasting plasma glucose (28·9 million [19·8–41·5] DALYs or 20·2% [13·8–29·1]), ambient particulate matter pollution (28·7 million [23·4–33·4] DALYs or 20·1% [16·6–23·0]), and smoking (25·3 million [22·6–28·2] DALYs or 17·6% [16·4–19·0]). Interpretation The annual number of strokes and deaths due to stroke increased substantially from 1990 to 2019, despite substantial reductions in age-standardised rates, particularly among people older than 70 years. The highest age-standardised stroke-related mortality and DALY rates were in the World Bank low-income group. The fastest-growing risk factor for stroke between 1990 and 2019 was high body-mass index. Without urgent implementation of effective primary prevention strategies, the stroke burden will probably continue to grow across the world, particularly in low-income countries. Funding Bill & Melinda Gates Foundation.
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            Statistics corner: A guide to appropriate use of correlation coefficient in medical research.

            M M Mukaka (2012)
            Correlation is a statistical method used to assess a possible linear association between two continuous variables. It is simple both to calculate and to interpret. However, misuse of correlation is so common among researchers that some statisticians have wished that the method had never been devised at all. The aim of this article is to provide a guide to appropriate use of correlation in medical research and to highlight some misuse. Examples of the applications of the correlation coefficient have been provided using data from statistical simulations as well as real data. Rule of thumb for interpreting size of a correlation coefficient has been provided.
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              Predictive validity and responsiveness of the functional ambulation category in hemiparetic patients after stroke.

              To determine the reliability, concurrent and predictive validity, and responsiveness of the Functional Ambulation Category (FAC) in hemiparetic patients after stroke. Prospective cohort. An early rehabilitation center for patients with neurologic disorders. Fifty-five nonambulatory patients after first-ever stroke, with duration of illness between 30 and 60 days, were included. Not applicable. FAC, Rivermead Mobility Index (RMI), walking velocity, step length, and six-minute walking test (6MWT) were assessed at the beginning, after 2 and 4 weeks of rehabilitation, and again 6 months later. After 6 months, community ambulation was also assessed. Test-retest and interrater reliability, concurrent, discriminant, and predictive validity and responsiveness of the FAC were calculated. Based on video examinations, high test-retest reliability (Cohen kappa=.950) and interrater reliability (kappa=.905) were found. FAC scores at the beginning and after 2 weeks, 3 weeks, and 6 months correlated highly with the RMI (Spearman rho=.686, rho=.787, rho=.825, rho=.893, respectively), distance walked in the 6MWT (rho=.949, rho=.937, rho=.931, rho=.906, respectively), walking velocity (rho=.952, rho=.939, rho=.902, rho=.901, respectively), and step length (rho=.952, rho=.932, rho=.896, rho=.877, respectively) at the same time points (all P<.001). The RMI, walking velocity, step length, and distance walked in the 6MWT differed for each FAC category (P<.001). After 4 weeks of rehabilitation, an FAC score of 4 or higher predicted community ambulation at 6 months with 100% sensitivity and 78% specificity. FAC scores changed significantly between the first 2 and second 2 weeks (Wilcoxon z=8.7, z=7.9, respectively; both P<.001) of the inpatient rehabilitation program. The FAC has excellent reliability, good concurrent and predictive validity, and good responsiveness in patients with hemiparesis after stroke.
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                Author and article information

                Contributors
                URI : https://loop.frontiersin.org/people/2835530/overviewRole: Role: Role: Role: Role: Role: Role: Role: Role: Role: Role:
                Role: Role: Role: Role: Role:
                Role: Role: Role:
                URI : https://loop.frontiersin.org/people/2901811/overviewRole: Role: Role:
                Role: Role: Role:
                URI : https://loop.frontiersin.org/people/2389205/overviewRole: Role: Role:
                Role: Role: Role: Role: Role:
                Journal
                Front Rehabil Sci
                Front Rehabil Sci
                Front. Rehabil. Sci.
                Frontiers in Rehabilitation Sciences
                Frontiers Media S.A.
                2673-6861
                2673-6861
                09 January 2025
                2024
                : 5
                : 1496515
                Affiliations
                [ 1 ]Department of Biomedical Engineering, Faculty of Life Sciences, Toyo University , Saitama, Japan
                [ 2 ]J-SPURT: Japanese Stroke & Physical Activity Multiple Center Research Team , Saitama, Japan
                [ 3 ]Tokyo Shinjuku Medical Center, Department of Rehabilitation, Japan Community Healthcare Organization , Tokyo, Japan
                [ 4 ]Department of Physical Therapy, Faculty of Nursing and Rehabilitation, Konan Women’s University , Hyogo, Japan
                [ 5 ]Department of Rehabilitation, Senri-Chuo Hospital , Osaka, Japan
                [ 6 ]Department of Rehabilitation and Care, Hatsudai Rehabilitation Hospital , Tokyo, Japan
                [ 7 ]Department of Physical Therapy, Faculty of Health and Medical Care, Saitama Medical University , Saitama, Japan
                [ 8 ]Institute of Transdisciplinary Sciences for Innovation, Kanazawa University , Ishikawa, Japan
                Author notes

                Edited by: Daniele Cafolla, Swansea University, United Kingdom

                Reviewed by: Deepak Sahoo, Swansea University, United Kingdom

                Yi Chao Foong, The Alfred Hospital, Australia

                [* ] Correspondence: Yosuke Kimura kimura008@ 123456toyo.jp
                Article
                10.3389/fresc.2024.1496515
                11754406
                39850918
                a01892ca-dc61-4d2a-be54-20be5bebd4ea
                © 2025 Kimura, Suzuki, Kubo, Yoshida, Ota, Shimizu and Kanai.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 17 September 2024
                : 17 December 2024
                Page count
                Figures: 2, Tables: 2, Equations: 0, References: 31, Pages: 8, Words: 0
                Funding
                Funded by: JSPS KAKENHI
                Award ID: JP21K21234, JP24K20508
                The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The authors declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by JSPS KAKENHI [number JP21K21234 and JP24K20508].
                Categories
                Rehabilitation Sciences
                Brief Research Report
                Custom metadata
                Rehabilitation in Neurological Conditions

                stroke,physical activity,energy expenditure,accelerometer,validity

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