Predictors of discordance in self-report versus device-measured physical activity measurement
Open accessAbstract
Purpose Accurate measurement of free-living physical activity is challenging in population-based research, whether using device-based or reported methods. Our purpose was to identify demographic predictors of discordance between physical activity assessment methods and to determine how these predictors modify the discordance between device-based and reported physical activity measurement methods.Methods Three hundred forty-seven adults from the Survey of the Health of Wisconsin wore the ActiGraph accelerometer for 7 days and completed the Global Physical Activity Questionnaire. Multivariate linear regression was conducted to assess predictors of discordance including gender, education, body mass index, marital status, and other individual level characteristics in physical activity reporting.Results Seventy-seven percent of men and 72% of women self-reported meeting the U.S. Centers for Disease Control and Prevention guidelines for aerobic activity but when measured by accelerometer, only 21% of men and 17% of women met guidelines. Demographic characteristics that predicted discordance between methods in multivariate regression included greater educational attainment (P < .001) and partnered status (P = .003).Conclusions These varying levels of discordance imply that comparisons of self-reported activity among groups defined by (or substantially varying by) educational attainment or marital status should be done with considerable caution as observed differences may be due, in part, to systematic, differential measurement biases among groups.
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Self-reported appraisals are affected by memory and recall biases in reconstructing past events and may be prone to socially desirable reporting from individuals.
“Lastly, self-reported appraisals are affected by memory and recall biases in reconstructing past events and may be prone to socially desirable reporting from individuals [12,15-17].”
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- Authors
- Gorzelitz, J., Peppard, P. E., Malecki, K., Gennuso, K., Nieto, F. J., & Cadmus-Bertram, L.
- Affiliations
- University of Wisconsin–Madison (US)
- Oregon State University (US)
- ORCID
- Venue
- Annals of Epidemiology
- Publisher
- Elsevier BV
- Published
- 2018-07
- Volume
- 28
- Issue
- 7
- Pages
- 427-431
- ISSN
- 1047-2797 (ISSN-L)
- PMC
- PMC6500726
- OpenAlex
- W2794672066
- Cited by
- 57
- References
- 28
- Citations by year
- 2026: 7 · 2025: 5 · 2024: 9 · 2023: 6 · 2022: 11 · 2021: 7 · 2020: 4 · 2019: 7 · 2018: 1
- FWCI
- 3.27
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Annals of Epidemiology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes for Health (5ULRR025011, 1RC2HL101468, 1K07CA178870)
- 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 › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Keywords
- physical activity measurement, measurement bias, accelerometer, Global Physical Activity Questionnaire, ActiGraph, educational attainment, marital status, sex differences, free-living physical activity
- MeSH terms
- Population Health, Adult, Aged, Female, Humans, Male, Middle Aged, Population Surveillance, Quality of Life, Surveys and Questionnaires, Wisconsin, Exercise, Body Mass Index, Guideline Adherence, 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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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