Activity monitors for increasing physical activity in adult stroke survivors

Abstract Objective Idiopathic inflammatory myopathies (IIM) cause proximal muscle weakness, which affect activities of daily living. Wearable physical activity monitors (PAMs) objectively assess continuous activity with potential clinical usefulness in IIM assessment. We examined the psychometric characteristics for PAM outcomes in IIM. Methods Adult IIM patients were prospectively evaluated (baseline, 3 and 6-months) in an observational study. A waist-worn PAM (ActiGraph GT3X-BT) assessed average step counts/min, peak 1-min cadence, and vector magnitude/min. Validated myositis core set measures (CSM) including manual muscle testing (MMT), physician global disease activity (MD global), patient global disease activity (Pt global), extra-muscular disease activity (Ex-muscular global), HAQ-DI, muscle enzymes, and patient-reported physical function were evaluated. Test-retest reliability, construct validity, and responsiveness were determined for PAM measures and CSM using Pearson correlations and other appropriate analyses. Results 50 adult IIM patients enrolled [mean (SD) age, 53.6 (±14.6); 60% female, 94% Caucasian]. PAM measures showed strong test-retest reliability, moderate-to-strong correlations at baseline with MD global (r=-0.37- -0.48), Pt-global (r=-0.43- -0.61), HAQ-DI (r=-0.47- -0.59) and MMT (r = 0.37–0.52), and strong discriminant validity for categorical MMT and HAQ-DI. Longitudinal association with MD global (r=-0.38- -0.44), MMT (r = 0.50–0.57), HAQ-DI (r=-0.45- -0.55), and functional tests (r = 0.30–0.65) were moderate-to-strong. PAM measures were responsive to MMT improvement (≥10%) and moderate-to-major improvement on ACR/EULAR myositis response criteria. Peak 1-min cadence had the largest effect size and Standardized Response Means (SRMs). Conclusion PAM measures showed promising construct validity, reliability, and longitudinal responsiveness; especially peak 1-min cadence. PAMs provide valid outcome measures for future use in IIM clinical trials.

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Reliability of activity monitors for physical activity assessment in patients with musculoskeletal disorders: A systematic review

Journal of Back and Musculoskeletal Rehabilitation ◽

10.3233/bmr-200348 ◽

2021 ◽

pp. 1-9

Author(s):

Francesco Negrini ◽

Alessandro de Sire ◽

Stefano Giuseppe Lazzarini ◽

Federico Pennestrì ◽

Salvatore Sorce ◽

...

Keyword(s):

Physical Activity ◽

Systematic Review ◽

Musculoskeletal Disorders ◽

Wearable Sensors ◽

Activity Monitors ◽

Activity Assessment ◽

Measurement Tools ◽

Different Types ◽

Measurement Units ◽

Full Text Screening

BACKGROUND: Activity monitors have been introduced in the last years to objectively measure physical activity to help physicians in the management of musculoskeletal patients. OBJECTIVE: This systematic review aimed at describing the assessment of physical activity by commercially available portable activity monitors in patients with musculoskeletal disorders. METHODS: PubMed, Embase, PEDro, Web of Science, Scopus and CENTRAL databases were systematically searched from inception to June 11th, 2020. We considered as eligible observational studies with: musculoskeletal patients; physical activity measured by wearable sensors based on inertial measurement units; comparisons performed with other tools; outcomes consisting of number of steps/day, activity/inactivity time, or activity counts/day. RESULTS: Out of 595 records, after removing duplicates, title/abstract and full text screening, 10 articles were included. We noticed a wide heterogeneity in the wearable devices, that resulted to be 10 different types. Patients included suffered from rheumatoid arthritis, osteoarthritis, juvenile idiopathic arthritis, polymyalgia rheumatica, and fibromyalgia. Only 3 studies compared portable activity trackers with objective measurement tools. CONCLUSIONS: Taken together, this systematic review showed that activity monitors might be considered as useful to assess physical activity in patients with musculoskeletal disorders, albeit, to date, the high device heterogeneity and the different algorithms still prevent their standardization.

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Personal and social factors that influence physical activity levels in community-dwelling stroke survivors: A systematic review of qualitative literature

Clinical Rehabilitation ◽

10.1177/0269215521993690 ◽

2021 ◽

pp. 026921552199369

Author(s):

Karl R Espernberger ◽

Natalie A Fini ◽

Casey L Peiris

Keyword(s):

Physical Activity ◽

Social Factors ◽

Self Efficacy ◽

Data Extraction ◽

Community Dwelling ◽

Stroke Survivors ◽

Activity Levels ◽

Post Stroke ◽

Physical Activity Levels ◽

Mobile Community

Objectives: To determine the personal and social factors perceived to influence physical activity levels in stroke survivors. Data sources: Four electronic databases (MEDLINE, CINAHL, PubMed and Embase) were searched from inception to November 2020, including reference and citation list searches. Study selection: The initial search yielded 1499 papers, with 14 included in the review. Included articles were peer-reviewed, qualitative studies, reporting on the perceived factors influencing physical activity levels of independently mobile community-dwelling adults, greater than 3 months post stroke. Data extraction: Data extracted included location, study aim, design, participant and recruitment information and how data were collected and analysed. Data synthesis: Thematic analysis was undertaken to identify meanings and patterns, generate codes and develop themes. Five main themes were identified: (i) Social networks are important influencers of physical activity; (ii) Participation in meaningful activities rather than ‘exercise’ is important; (iii) Self-efficacy promotes physical activity and physical activity enhances self-efficacy; (iv) Pre-stroke identity related to physical activity influences post-stroke physical activity; and (v) Formal programmes are important for those with low self-efficacy or a sedentary pre-stroke identity. Conclusions: Physical activity levels in stroke survivors are influenced by social activities and support, pre-stroke identity, self-efficacy levels and completion of activities that are meaningful to stroke survivors.

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Stroke survivors with the same levels of exercise as healthy individuals have lower levels of physical activity

Neurological Sciences ◽

10.1007/s10072-021-05578-4 ◽

2022 ◽

Author(s):

Ananda Jacqueline Ferreira ◽

Larissa Tavares Aguiar ◽

Júlia Caetano Martins ◽

Christina Danielli Coelho de Morais Faria

Keyword(s):

Physical Activity ◽

Stroke Survivors ◽

Healthy Individuals

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2253

Journal of Clinical and Translational Science ◽

10.1017/cts.2017.148 ◽

2017 ◽

Vol 1 (S1) ◽

pp. 40-41

Author(s):

Stephen P. Wright ◽

Kathryn Sandberg

Keyword(s):

Physical Activity ◽

Biomedical Research ◽

Potential Growth ◽

Activity Monitors ◽

Ovid Medline ◽

Physical Activity Monitors ◽

Study Population ◽

Health And Disease ◽

Category Condition ◽

Study Type

OBJECTIVES/SPECIFIC AIMS: To analyze how consumer physical activity monitors are currently used in biomedical research. METHODS/STUDY POPULATION: Searches were conducted in Ovid Medline, PubMed Medline, clinicaltrials.gov, and NIH RePORTER using search terms including Fitbit, Jawbone, Apple watch, Garmin, Polar, Microsoft band, Misfit, Nike, Withings, and Xiaomi. Results were quantitated by category: condition/topic, intervention, enrollment status, study type and design, age, grant mechanism, and primary outcome. RESULTS/ANTICIPATED RESULTS: Fitbit is used >80%. There are 127 clinical studies using Fitbit devices listed in clinicaltrials.gov. In total, 48 have been completed while 79 are ongoing. Some studies have already published their findings; 40 papers cited in Ovid MEDLINE report use of a Fitbit device. NIH is now funding research that uses consumer physical activity monitors, and the NIH RePORTER shows the number of grants using Fitbit is rapidly increasing. DISCUSSION/SIGNIFICANCE OF IMPACT: The current state and potential growth of this technology is transforming biomedical research and is enabling us to ask new and more granular questions about activity and sleep in health and disease.

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Physical Activity Monitors

Encyclopedia of Behavioral Medicine ◽

10.1007/978-1-4614-6439-6_102008-1 ◽

2019 ◽

pp. 1-4

Author(s):

Danielle Arigo ◽

Kristen Pasko

Keyword(s):

Physical Activity ◽

Activity Monitors ◽

Physical Activity Monitors

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