The DOI matches its Crossref record; 111 of the 111 references it cites were found in a registry or an index.
Methods of Measurement in epidemiology: Sedentary Behaviour
Open accessAbstract
BACKGROUND: Research examining sedentary behaviour as a potentially independent risk factor for chronic disease morbidity and mortality has expanded rapidly in recent years. METHODS: We present a narrative overview of the sedentary behaviour measurement literature. Subjective and objective methods of measuring sedentary behaviour suitable for use in population-based research with children and adults are examined. The validity and reliability of each method is considered, gaps in the literature specific to each method identified and potential future directions discussed. RESULTS: To date, subjective approaches to sedentary behaviour measurement, e.g. questionnaires, have focused predominantly on TV viewing or other screen-based behaviours. Typically, such measures demonstrate moderate reliability but slight to moderate validity. Accelerometry is increasingly being used for sedentary behaviour assessments; this approach overcomes some of the limitations of subjective methods, but detection of specific postures and postural changes by this method is somewhat limited. Instruments developed specifically for the assessment of body posture have demonstrated good reliability and validity in the limited research conducted to date. Miniaturization of monitoring devices, interoperability between measurement and communication technologies and advanced analytical approaches are potential avenues for future developments in this field. CONCLUSIONS: High-quality measurement is essential in all elements of sedentary behaviour epidemiology, from determining associations with health outcomes to the development and evaluation of behaviour change interventions. Sedentary behaviour measurement remains relatively under-developed, although new instruments, both objective and subjective, show considerable promise and warrant further testing.
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“the vast majority of screen use evidence has relied on self-reported data [11]”
From Using Wearable Cameras to Categorize the Type and Context of Screen-Based Behaviors Among Adolescents: Observational Study (2022) · cites this paper as [11]
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Metadata
- Authors
- Atkin, A. J., Gorely, T., Clemes, S. A., Yates, T., Edwardson, C., Brage, S., Salmon, J., Marshall, S. J., & Biddle, S. J.
- Affiliations
- Loughborough University (GB)
- Corresponding author
- Atkin, A. J.
- Venue
- International Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-10-01
- Volume
- 41
- Issue
- 5
- Pages
- 1460-1471
- ISSN
- 0300-5771 (ISSN-L)
- 1464-3685
- PMC
- PMC3465769
- OpenAlex
- W2131415741
- Cited by
- 518
- References
- 111
- Citations by year
- 2026: 7 · 2025: 18 · 2024: 22 · 2023: 19 · 2022: 27 · 2021: 34 · 2020: 62 · 2019: 56 · 2018: 46 · 2017: 66 · 2016: 60 · 2015: 52 · 2014: 30 · 2013: 17 · 2012: 1
- FWCI
- 21.45
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- International Journal of Epidemiology (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Stirling Online Research Repository (University of Stirling) (submittedVersion)
- Apollo (University of Cambridge) (submittedVersion)
- Victoria University Research Repository (Victoria University) (submittedVersion)
- Deakin Research Online (Deakin University) (submittedVersion)
- Loughborough University Institutional Repository (Loughborough University) (submittedVersion, cc-by-nc-nd)
- Loughborough University Research Repository (Loughborough University) (submittedVersion, cc-by-nc-nd)
- HighWire Press Open Archive (submittedVersion)
- UEA Digital Repository (University of East Anglia) (submittedVersion)
- Funders
- Wellcome Trust (087636)
- National Institute for Health and Care Research
- British Heart Foundation
- Economic and Social Research Council (ES/G007462/1)
- 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
- Social Sciences › Human Factors and Ergonomics › Ergonomics and Musculoskeletal Disorders
- Keywords
- sedentary behavior, accelerometry, television viewing, questionnaire reliability and validity, chronic disease risk factors, behaviour change interventions
- MeSH terms
- Data Collection, Epidemiologic Methods, Humans, Posture, Research Design, Reproducibility of Results, Health Behavior, Sedentary Behavior, Self Report, Accelerometry
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