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Disparities in data on healthy people 2010 physical activity objectives collected by accelerometry and self-report

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  • Ham, S.A.
  • Ainsworth, B.E.

Abstract

Objectives. We compared findings on physical activity from national accelerometry data and Healthy People 2010 self-report data to identify differences in disparities by sociodemographic characteristics, gender, age, race/ethnicity, education level, and disability status. Methods. Data were from the 2003 to 2004 National Health and Nutrition Examination Survey's accelerometry and the Healthy People 2010 Midcourse Review. We computed prevalence of inactivity and regular moderate- and vigorous-intensity movement according to Healthy People 2010 operational definitions. Results. Mexican American adults were more active than non-Hispanic Blacks and Whites, and groups defined by race/ethnicity and educational attainment were more similar in physical activity in accelerometer than in self-report data. Disparities by gender and disability status were consistent with Healthy People 2010. Conclusions. Disparities in physical activity differ from previous findings. Increased understanding of these disparities should be used to design better and more cost-effective physical activity interventions. Physical activity surveillance methods should be revised to make use of data collection methods that are more valid than self-report.

Suggested Citation

  • 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.
  • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2009.180075_4
    DOI: 10.2105/AJPH.2009.180075
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    Cited by:

    1. 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.
    2. Nicholas Beyler & Wayne Fuller & Sarah Nusser & Gregory Welk, 2015. "Predicting objective physical activity from self-report surveys: a model validation study using estimated generalized least-squares regression," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(3), pages 555-565, March.
    3. Coulon, Sandra M. & Wilson, Dawn K. & Egan, Brent M., 2013. "Associations among environmental supports, physical activity, and blood pressure in African-American adults in the PATH trial," Social Science & Medicine, Elsevier, vol. 87(C), pages 108-115.
    4. repec:mpr:mprres:7811 is not listed on IDEAS
    5. Simonsen, Sara E. & Digre, Kathleen B. & Ralls, Brenda & Mukundente, Valentine & Davis, France A. & Rickard, Sylvia & Tavake-Pasi, Fahina & Napia, Eru (Ed) & Aiono, Heather & Chirpich, Meghan & Stark,, 2015. "A gender-based approach to developing a healthy lifestyle and healthy weight intervention for diverse Utah women," Evaluation and Program Planning, Elsevier, vol. 51(C), pages 8-16.

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