The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Best Practices for Using Physical Activity Monitors in Population-Based Research
Open accessAbstract
The use of physical activity monitors in population-based research has increased dramatically in the past decade. In this report, we review the major purpose for using physical activity monitors in different types of population-based studies (i.e., surveillance, intervention, association studies) and discuss the strengths and weaknesses for the various behavioral outcomes derived from monitors for each study type. We also update and extend previous recommendations for use of these instruments in large-scale studies, particularly with respect to selecting monitor systems in the context of technological advances that have occurred in recent years. The current state of the science with respect to optimal measurement schedules for use of physical activity monitors is also discussed. A checklist and flowchart are provided so that investigators have more guidance when reporting key elements of monitor use in their studies.
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“Further, while best practices and standards have been proposed,[35-37] no consensus has been reached.”
From Using accelerometers to measure physical activity in large-scale epidemiological studies: issues and challenges (2014) · cites this paper as [36]
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Amount of Time Spent in Sedentary Behaviors in the United States, 2003-2004
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Youssef, L., El-Oueslati, H., Persouyre, J., Pion, C. H., Lago, P., Bélanger, M., & Aubertin‐Leheudre, M. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.09.18.752400
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Seasonal variations in lifestyle behaviours and their relationship with indicators for poor health
O'Connell, S. E. (2013) · Loughborough University Institutional Repository (Loughborough University)
Metadata
- Authors
- MATTHEWS, C. E., HAGSTRÖMER, M., POBER, D. M., & BOWLES, H. R.
- Affiliations
- National Cancer Institute (US)
- Venue
- Medicine & Science in Sports & Exercise
- Published
- 2012-01
- Volume
- 44
- Issue
- 1S
- Pages
- S68-S76
- ISSN
- 0195-9131 (ISSN-L)
- PMC
- PMC3543867
- OpenAlex
- W2060699725
- Cited by
- 703
- References
- 41
- Citations by year
- 2026: 21 · 2025: 40 · 2024: 45 · 2023: 51 · 2022: 54 · 2021: 51 · 2020: 65 · 2019: 60 · 2018: 57 · 2017: 62 · 2016: 47 · 2015: 49 · 2014: 48 · 2013: 39 · 2012: 11
- FWCI
- 21.81
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Medicine & Science in Sports & Exercise (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (Z99 CA999999)
- National Cancer Institute (Y99 CA999999)
- 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
- wearable activity trackers, accelerometer, population-based study, physical activity surveillance, reporting checklist, large-scale research
- MeSH terms
- Humans, Monitoring, Physiologic, Motor Activity, Biomedical Research
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