National Health and Nutrition Examination Survey (NHANES) for Dementia Researchers
This repository represents a series of code and corresponding data files intended for use in cognitive decline and Alzheimer’s disease and related dementias (ADRD) research. The files include three datasets derived from the 2011-12 and 2013-14 National Health and Nutrition Examination Survey (NHANES) panels (survey years 2011-12, 2013-14, and 2-year appended data file). NHANES is a nationally representative program of studies that, among many other things, allows researchers to assess the health of adults in the United States.
The provided datasets include sociodemographic information on respondents’ age, sex, race, and education levels merged onto individual and summary cognition variables generated from 1) the word learning and recall modules from the Consortium to Establish a Registry for Alzheimer's Disease neuropathology protocol (CERAD), 2) the Animal Fluency test, and 3) the Digit Symbol Substitution test (DSST). Cognition variables were then standardized on relevant sociodemographic characteristics (education, race, and age). Brief and detailed summaries of the variables available in these datasets along with more detailed descriptions of performed calculations can be found in the provided data dictionaries. SAS, Stata, and CSV file formats are provided as are the full coding scripts used in both SAS and Stata.
The provided datasets include sociodemographic information on respondents’ age, sex, race, and education levels merged onto individual and summary cognition variables generated from 1) the word learning and recall modules from the Consortium to Establish a Registry for Alzheimer's Disease neuropathology protocol (CERAD), 2) the Animal Fluency test, and 3) the Digit Symbol Substitution test (DSST). Cognition variables were then standardized on relevant sociodemographic characteristics (education, race, and age). Brief and detailed summaries of the variables available in these datasets along with more detailed descriptions of performed calculations can be found in the provided data dictionaries. SAS, Stata, and CSV file formats are provided as are the full coding scripts used in both SAS and Stata.