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Predicting Objective Physical Activity from Self-Report Surveys: Limitations Based on a Model Validation Study Using Estimated Generalized Least Squares Regression

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  • Nick Beyler

Abstract

This working paper used measurements of accelerometer-based and self-reported physical activity from the National Health and Nutrition Examination Survey 2003–2006 to develop and validate a set of models for predicting objective moderate to vigorous physical activity from self-report variables and other demographic characteristics.

Suggested Citation

  • Nick Beyler, "undated". "Predicting Objective Physical Activity from Self-Report Surveys: Limitations Based on a Model Validation Study Using Estimated Generalized Least Squares Regression," Mathematica Policy Research Reports fa557c96bfc9498d9c560d96b, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:fa557c96bfc9498d9c560d96b1561594
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    File URL: https://www.mathematica.org/-/media/publications/pdfs/predicting_objective_wp.pdf
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    References listed on IDEAS

    as
    1. Ham, S.A. & Ainsworth, B.E., 2010. "Disparities in data on healthy people 2010 physical activity objectives collected by accelerometry and self-report," American Journal of Public Health, American Public Health Association, vol. 100(S1), pages 263-268.
    2. Jared M. Tucker & Gregory J. Welk & Nicholas K. Beyler, "undated". "Physical Activity in U.S. Adults: Compliance with the Physical Activity Guidelines for Americans," Mathematica Policy Research Reports 6fe330399daa43dc9a4792b8c, Mathematica Policy Research.
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