The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Clinical use of objective measures of physical activity
Abstract
With measurement of physical activity becoming more common in clinical practice, it is imperative that healthcare professionals become more knowledgeable about the different methods available to objectively measure physical activity behaviour. Objective measures do not rely on information provided by the patient, but instead measure and record the biomechanical or physiological consequences of performing physical activity, often in real time. As such, objective measures are not subject to the reporting bias or recall problems associated with self-report methods. The purpose of this article was to provide an overview of the different methods used to objectively measure physical activity in clinical practice. The review was delimited to heart rate monitoring, accelerometers and pedometers since their small size, low participant burden and relatively low cost make these objective measures appropriate for use in clinical practice settings. For each measure, strengths and weakness were discussed; and whenever possible, literature-based examples of implementation were provided.
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“In contrast to self-reports, wearable accelerometers enable the capturing of all components (intensity, type, or duration) of PA spread throughout the day and more accurately measure SB by offsetting recall and social desirability biases.22”
Citations
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Hampl, S. E., Hassink, S. G., Skinner, A. C., Armstrong, S. C., Barlow, S. E., Bolling, C. F., Avila Edwards, K. C., Eneli, I., Hamre, R., Joseph, M. M., et al. (2023) · Pediatrics · doi:10.1542/peds.2022-060640 · Cited by 1,389
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“5 Nevertheless, future studies are needed to con fi rm the effectiveness of physical activity monitors such as the Fitbit for increasing physical activity levels in older adults who do not currently meet physical activity recommendations; 28 one such study is currently underway.”
Background
Metadata
- Authors
- Trost, S. G., & O'Neil, M.
- Affiliations
- The University of Queensland (AU)
- Corresponding author
- Trost, Stewart G
- ORCID
- Trost, Stewart G
- Venue
- British Journal of Sports Medicine
- Publisher
- BMJ
- Published
- 2013-12-05
- Volume
- 48
- Issue
- 3
- Pages
- 178-181
- ISSN
- 0306-3674 (ISSN-L)
- 1473-0480
- OpenAlex
- W1558745131
- Cited by
- 139
- References
- 33
- Citations by year
- 2026: 3 · 2025: 10 · 2024: 11 · 2023: 11 · 2022: 8 · 2021: 7 · 2020: 11 · 2019: 10 · 2018: 19 · 2017: 13 · 2016: 9 · 2015: 17 · 2014: 9
- FWCI
- 1.26
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- British Journal of Sports Medicine (publishedVersion)
- PubMed (publishedVersion)
- HighWire Press Open Archive (submittedVersion)
- Faculty of Health
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- objective physical activity measurement, heart rate monitoring, accelerometer, pedometers, clinical practice, self-report bias, recall bias, physical activity behavior
- MeSH terms
- Data Interpretation, Statistical, Heart Rate, Humans, Monitoring, Physiologic, Exercise, Walking, Monitoring, Ambulatory, Accelerometry
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