A systematic literature review of reviews on techniques for physical activity measurement in adults: a DEDIPAC study
Open accessAbstract
The links between increased participation in Physical Activity (PA) and improvements in health are well established. As this body of evidence has grown, so too has the search for measures of PA with high levels of methodological effectiveness (i.e. validity, reliability and responsiveness to change). The aim of this "review of reviews" was to provide a comprehensive overview of the methodological effectiveness of currently employed measures of PA, to aid researchers in their selection of an appropriate tool. A total of 63 review articles were included in this review, and the original articles cited by these reviews were included in order to extract detailed information on methodological effectiveness.Self-report measures of PA have been most frequently examined for methodological effectiveness, with highly variable findings identified across a broad range of behaviours. The evidence-base for the methodological effectiveness of objective monitors, particularly accelerometers/activity monitors, is increasing, with lower levels of variability observed for validity and reliability when compared to subjective measures. Unfortunately, responsiveness to change across all measures and behaviours remains under-researched, with limited information available.Other criteria beyond methodological effectiveness often influence tool selection, including cost and feasibility. However, researchers must be aware of the methodological effectiveness of any measure selected for use when examining PA. Although no "perfect" tool for the examination of PA in adults exists, it is suggested that researchers aim to incorporate appropriate objective measures, specific to the behaviours of interests, when examining PA in free-living environments.
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A review of reviews summarizes that self-report methods of measuring physical activity have the potential to be inconsistent dependent on the context of implementation and when compared to other forms of measurement.
“A review of reviews summarizes that self-report methods of measuring physical activity have the potential to be inconsistent dependent on the context of implementation and when compared to other forms of measurement [252].”
From Rates of compliance and adherence to high-intensity interval training: a systematic review and Meta-analyses (2023) · cites this paper as [252]
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- Authors
- Dowd, K. P., Szeklicki, R., Minetto, M. A., Murphy, M. H., Polito, A., Ghigo, E., van der Ploeg, H., Ekelund, U., Maciaszek, J., Stemplewski, R., Tomczak, M., & Donnelly, A. E.
- Affiliations
- Athlone Institute of Technology (IE)
- University of Turin (IT)
- University of Ulster (GB)
- Istituto Nazionale di Ricerca per gli Alimenti e la Nutrizione (IT)
- University of Cambridge (GB)
- University of Limerick (IE)
- Corresponding author
- Donnelly, Alan E.
- ORCID
- Venue
- International Journal of Behavioral Nutrition and Physical Activity
- Published
- 2018-02-08
- Volume
- 15
- Issue
- 1
- Pages
- 15-15
- ISSN
- 1479-5868 (ISSN-L)
- PMC
- PMC5806271
- OpenAlex
- W2787504438
- Cited by
- 385
- References
- 490
- Citations by year
- 2026: 33 · 2025: 31 · 2024: 42 · 2023: 49 · 2022: 63 · 2021: 70 · 2020: 45 · 2019: 40 · 2018: 10 · 2017: 1
- FWCI
- 5.40
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- International Journal of Behavioral Nutrition and Physical Activity (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion, cc-by)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion, other-oa)
- Ulster University Research Portal (Ulster University) (publishedVersion, other-oa)
- Arrow@dit (Dublin Institute of Technology) (acceptedVersion)
- Institutional Research Information System University of Turin (University of Turin) (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by-nc-sa)
- Research@THEA (submittedVersion, cc-by)
- University of Limerick Institutional Repository (University of Limerick) (submittedVersion, cc-by-nc-sa)
- Apollo (University of Cambridge) (submittedVersion, cc-by)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Apollo
- Apollo (cc-by)
- Funders
- Health Research Board
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Health Sciences › Medicine › Complementary and alternative medicine › Cardiovascular and exercise physiology
- Keywords
- physical activity measurement, validity, reliability statistics, responsiveness to change, self-report questionnaire, accelerometer, wearable activity trackers, adults, free-living physical activity, tool selection
- MeSH terms
- Adult, Health Surveys, Humans, Male, Reproducibility of Results, Exercise, Self Report, Accelerometry
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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