Functions for processing accelerometer data from the National Health and
Nutrition Examination Survey (NHANES), years 2003-2006 (data included). The
process_nhanes, generates a variety of physical
activity variables, including indicators of physical activity volume,
intensity, frequency, and duration. It also generates variables that can be
used to study patterns of physical activity, i.e. weekday/weekend differences
and hourly trends. Numerous function inputs are available to control data
processing algorithms like non-wear time classification and activity bout
Includes three functions:
Dane R. Van Domelen (email@example.com), W. Stephen Pittard, and Tamara B. Harris
Centers for Disease Control and Prevention (CDC). National Center for Health Statistics (NCHS). National Health and Nutrition Examination Survey Data. Hyattsville, MD: US Department of Health and Human Services, Centers for Disease Control and Prevention, 2003-6. https://wwwn.cdc.gov/nchs/nhanes/Default.aspx. Accessed Jan. 7, 2019.
National Cancer Institute. Risk factor monitoring and methods: SAS programs for analyzing NHANES 2003-2004 accelerometer data. Available at: http://riskfactor.cancer.gov/tools/nhanes_pam. Accessed Jan. 7, 2019.
Van Domelen, D.R. (2018) accelerometry: Functions for processing accelerometer data. R package version 3.1.2. http://CRAN.R-project.org/package=accelerometry.
Acknowledgment: This material is based upon work supported by the National Science Foundation Graduate Research Fellowship under Grant No. DGE-0940903.
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