The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Physical Activity by Self-Report: A Brief History and Future Issues
Open accessAbstract
For the scientific domain of physical activity and public health research to advance its agenda of health promotion and disease prevention continued development of measurement methodologies is essential. Over the past 50 years most data supporting a favorable relationship between habitual physical activity and chronic disease morbidity and mortality have been obtained using self-report methods, including questionnaires, logs, recalls, and diaries. Many of these instruments have been shown to have reasonable validity and reliability for determining general type, amount, intensity, and bout duration, but typically do better for groups than individuals with some instruments lacking the sensitivity to detect change in activity. During the past decade the objective assessment of physical activity using accelerometer-based devices has demonstrated substantial potential, especially in documenting the pattern of light-, moderate-, and vigorous-intensity activity throughout the day. However, these devices do not provide information on activity type, location or context. Research that combines the strengths of both self-report and objective measures has the potential to provide new insights into the benefits of physical activity and how to implement successful interventions.
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“Although light-intensity activity comprises the largest percentage of the average adults' day, the MAQ was not designed to measure activities that comprise that level of intensity because of concerns regarding the accuracy of recall of light-intensity activity.”
From The impact of physical activity on the prevention of type 2 diabetes: Evidence and lessons learned from the Diabetes Prevention Program, a long-standing clinical trial incorporating subjective and objective activity measures (2021) · cites this paper as [10]
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“Only objective measures, such as the accelerometer, can validly measure activities of light intensity (9,10).”
From The impact of physical activity on the prevention of type 2 diabetes: Evidence and lessons learned from the Diabetes Prevention Program, a long-standing clinical trial incorporating subjective and objective activity measures (2021) · cites this paper as [10]
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Cites
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Cited by
Sorted by citations
Young, D. R., Hivert, M.-F., Alhassan, S., Camhi, S. M., Ferguson, J. F., Katzmarzyk, P. T., Lewis, C. E., Owen, N., Perry, C. K., Siddique, J., et al. (2016) · Circulation · doi:10.1161/cir.0000000000000440 · Cited by 791
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Practical Guide to Measuring Physical Activity
Sylvia, L. G., Bernstein, E. E., Hubbard, J. L., Keating, L., & Anderson, E. J. (2014) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2013.09.018 · Cited by 637
Measurement of physical activity in clinical practice using accelerometers
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Metadata
- Authors
- Haskell, W. L.
- Affiliations
- Stanford Medicine (US)
- Corresponding author
- Haskell, William L.
- ORCID
- Haskell, William L.
- Venue
- Journal of Physical Activity and Health
- Publisher
- Human Kinetics
- Published
- 2012-01
- Volume
- 9
- Issue
- s1
- Pages
- S5-S10
- ISSN
- 1543-3080 (ISSN-L)
- 1543-5474
- OpenAlex
- W2398226462
- Cited by
- 221
- References
- 24
- Citations by year
- 2026: 4 · 2025: 18 · 2024: 20 · 2023: 8 · 2022: 10 · 2021: 14 · 2020: 15 · 2019: 18 · 2018: 17 · 2017: 10 · 2016: 18 · 2015: 28 · 2014: 20 · 2013: 17 · 2012: 3
- FWCI
- 14.58
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Physical Activity and Health (publishedVersion)
- PubMed (publishedVersion)
- 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 › Life-span and Life-course Studies › Recreational Sport and Physical Activity
- Keywords
- physical activity measurement, self-report questionnaire, accelerometer, reliability and validity, chronic disease prevention, health promotion, physical activity interventions
- MeSH terms
- Acceleration, Energy Metabolism, Health Services Research, Humans, Motor Activity, Public Health, Sedentary Behavior, Self Report
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