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ZZ Zachary Zenko
EW Erik A. Willis
DW David A. White
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We estimated the physical activity prevalence for the overall sample and by the following demographic and anthropometric characteristics: age group, sex, race/ethnicity, and BMI category. In all analyses, we used SURVEYFREQ and SURVEYMEANS procedures implemented in SAS version 9.4 (Research Triangle Institute, Research Triangle Park, NC) to account for the stratification, clustering, and weighting used in the complex survey design. Adjusted sample weights for subsamples with four or more valid days were used for all analyses (http://riskfactor.cancer.gov/tools/nhanes_pam/).

Copyright and License information:  ©2019 Zenko, Willis and White.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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