Physical activity monitors in the Welsh National Exercise Referral Scheme to enhance maintenance

2015 ◽  
Author(s):  
Jemma Hawkins
Rheumatology ◽  
2021 ◽  
Author(s):  
Bonny Rockette-Wagner ◽  
Didem Saygin ◽  
Siamak Moghadam-Kia ◽  
Chester Oddis ◽  
Océane Landon-Cardinal ◽  
...  

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.


2017 ◽  
Vol 1 (S1) ◽  
pp. 40-41
Author(s):  
Stephen P. Wright ◽  
Kathryn Sandberg

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.


2018 ◽  
Vol 15 (10) ◽  
pp. 795-798
Author(s):  
Rebecca Reynolds ◽  
David Menzies ◽  

Background: Physical activity health promotion coalitions are uncommon but important for beneficial collective impact on public health. The authors sought to obtain the viewpoints of member organizations of an Australian physical activity alliance, the National Physical Activity Alliance. Methods: The authors conducted an online survey regarding member agenda, commitment, and vision for the alliance. Questions were mostly open ended (eg, “What are the 3 areas of priority related to physical activity that you would like The Alliance to focus on?”). A total of 11 Australian organizations involved in physical activity public health (eg, the nongovernment organization Alzheimer’s Australia and the professional fitness association Fitness Australia). Results: 82% of members responded to the survey. Member programs and goals were diverse and overlapping. There was agreement among members that the main priority area for alliance focus was a national exercise referral scheme. Barriers for members achieving their own goals as well as alliance goals focused on governmental issues, including inadequate government funding for physical activity public health. Conclusions: This novel survey highlights the promise and difficulties of a physical activity coalition, with the difficulties, namely lack of governmental funding, resulting in a stagnation of the alliance’s activities since the study was carried out.


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