ArticlePloS one2017
Physical performance analysis: A new approach to assessing free-living physical activity in musculoskeletal pain and mobility-limited populations.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.
- Obesity and pain: a systematic review.International journal of obesity (2005) · 2020Pooled it
- Does the physical activity profile change in patients with hip dysplasia from before to 1 year after periacetabular osteotomy?Acta orthopaedica · 2018Trial
- Exploring the Needs of People With Chronic Low Back Pain and Health Care Professionals for mHealth Devices to Support Self-Managed Physical Activity and Pain: User-Centered Design Approach.JMIR human factors · 2024Article
- Objective wearable measures correlate with self-reported chronic pain levels in people with spinal cord stimulation systems.NPJ digital medicine · 2023Article
- Biomechanical Phenotyping of Chronic Low Back Pain: Protocol for BACPAC.Pain medicine (Malden, Mass.) · 2023Article
- Objective wearable measures and subjective questionnaires for predicting response to neurostimulation in people with chronic pain.Bioelectronic medicine · 2023Article
- Measuring objective physical activity in people with chronic low back pain using accelerometers: a scoping review.Frontiers in sports and active living · 2023Article
- The future of individualized cardiovascular care: how wearables could be integrated to improve outcomes.European heart journal supplements : journal of the European Society of Cardiology · 2022Article
- Evaluation of Motion Segment Size as a New Sensor-based Functional Outcome Measure in Stroke Rehabilitation.The Journal of international medical research · 2022Article
- Examining the Association Between Self-Reported Estimates of Function and Objective Measures of Gait and Physical Capacity in Lumbar Stenosis.Archives of rehabilitation research and clinical translation · 2021Article
- The EPIPHA-KNEE trial: Explaining Pain to target unhelpful pain beliefs to Increase PHysical Activity in KNEE osteoarthritis - a protocol for a multicentre, randomised controlled trial with clinical- and cost-effectiveness analysis.BMC musculoskeletal disorders · 2021Article
- The emerging clinical role of wearables: factors for successful implementation in healthcare.NPJ digital medicine · 2021Review
- Assessing Motor Function in Congenital Muscular Dystrophy Patients Using Accelerometry.The Journal of neuroscience nursing : journal of the American Association of Neuroscience Nurses · 2020Article
- Psychosocial Correlates of Objective, Performance-Based, and Patient-Reported Physical Function Among Patients with Heterogeneous Chronic Pain.Journal of pain research · 2020Article
- Inferring Physical Function From Wearable Activity Monitors: Analysis of Free-Living Activity Data From Patients With Knee Osteoarthritis.JMIR mHealth and uHealth · 2018Article
- Subjective and Objective Measures of Daytime Activity and Sleep Disturbance in Retinitis Pigmentosa.Optometry and vision science : official publication of the American Academy of Optometry · 2018Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundAccurate measurement of physical performance in individuals with musculoskeletal pain is essential. Accelerometry is a powerful tool for this purpose, yet the current methods designed to evaluate energy expenditure are not optimized for this population. The goal of this study is to empirically derive a method of accelerometry analysis specifically for musculoskeletal pain populations.
methodsWe extracted data from 6,796 participants in the 2003-4 National Health and Nutrition Examination Survey (NHANES) including: 7-day accelerometry, health and pain questionnaires, and anthropomorphics. Custom macros were used for data processing, complex survey regression analyses, model selection, and statistical adjustment. After controlling for a multitude of variables that influence physical activity, we investigated whether distinct accelerometry profiles accompany pain in different locations of the body; and we identified the intensity intervals that best characterized these profiles.
resultsUnique accelerometry profiles were observed for pain in different body regions, logically clustering together based on proximity. Based on this, the following novel intervals (counts/minute) were identified and defined: Performance Sedentary (PSE) = 1-100, Performance Light 1 (PL1) = 101-350, Performance Light 2 (PL2) = 351-800, Performance Light 3 (PL3) = 801-2500, and Performance Moderate/Vigorous (PMV) = 2501-30000. The refinement of accelerometry signals into these new intervals, including 3 distinct ranges that fit inside the established light activity range, best captures alterations in real-life physical performance as a result of regional pain. DISCUSSION AND
conclusionsThese new accelerometry intervals provide a model for objective measurement of real-life physical performance in people with pain and musculoskeletal disorders, with many potential uses. They may be used to better evaluate the relationship between pain and daily physical function, monitor musculoskeletal disease progression, gauge disease severity, inform exercise prescription, and quantify the functional impact of treatments. Based on these findings, we recommend that future studies of pain and musculoskeletal disorders analyze accelerometry output based on these new "physical performance" intervals.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.