Cited by 35Musculoskeletal pain and rehabilitationPhysical Activity and HealthContext-Aware Activity Recognition Systems

Assessment of physical activity of patients with chronic pain

Open access
Perruchoud, Christophe, Buchser, Eric, Johanek, Lisa M., Aminian, Kamiar, Paraschiv-Ionescu, Anisoara, Taylor, Rod S.·2014·Neuromodulation: Technology at the Neural Interface

Abstract

Objectives To define the key terms and concepts relating physical activity to chronic pain; to provide a brief overview of the various methods of assessment of physical activity; to review the current literature about physical activity and chronic pain; and to identify needs for future research.Materials and methods A narrative review based on results of a PubMed search (to May 2011) and the references of recent systematic reviews.Results Many methods exist for measuring physical activity. Movement sensors, such as accelerometers, offer objective assessment of physical activity of patients with chronic pain. It is often assumed that patients who feel disabled and report daily life restrictions due to chronic pain also will be less physically active. Studies that have compared the activity of patients with chronic back pain with that of healthy individuals consistently showed that the relationship of physical activity and severity of pain, as well as the change in activity following interventions, was variable and complex.Conclusions It is important to understand the relationship between physical activity and chronic pain. Future studies should objectively assess not only the pattern and complexity of that relationship but also the interaction with the patient's mood and ability to cope with the pain.

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Crossref · 10.1111/ner.12036

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Authors
Perruchoud, C., Buchser, E., Johanek, L. M., Aminian, K., Paraschiv-Ionescu, A., & Taylor, R. S.
Affiliations
  • Hôpital de Morges (CH)
  • Medtronic (United States) (US)
  • École Polytechnique Fédérale de Lausanne (CH)
  • University of Exeter (GB)
Corresponding author
Perruchoud, Christophe
Venue
Neuromodulation: Technology at the Neural Interface
Publisher
Elsevier BV
Published
2014-06
Volume
17
Pages
42-47
ISSN
1094-7159 (ISSN-L)
OpenAlex
W1822999693
Cited by
35
References
47
Citations by year
2025: 3 · 2024: 2 · 2023: 3 · 2022: 5 · 2021: 3 · 2020: 5 · 2019: 2 · 2018: 3 · 2017: 7 · 2016: 2
FWCI
0.38
Type
journal article
Language
en
Open access
Locations
  • Neuromodulation Technology at the Neural Interface (publishedVersion)
  • PubMed (publishedVersion)
  • ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (submittedVersion)
  • Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion)
  • Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
Topics
  • Health Sciences › Medicine › Pharmacology › Musculoskeletal pain and rehabilitation
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
Keywords
physical activity, chronic pain, physical activity measurement, accelerometer, motion sensors, chronic back pain, pain intensity, disability, pain coping, mood
MeSH terms
Humans, Motor Activity, Chronic Pain

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