nhanes | R Documentation |
The National Health and Nutrition Examination Survey (NHANES) is a research survey distributed to adults and children across the United States to examine health and nutritional status nationwide. It is unique in that it conducts both interviews and physical examination to produce their data. The survey is run by the National Center for Health Statistics (NCHS), a part of the Centers for Disease Control and Prevention.
nhanes
A tibble with 10,000 observations and 15 variables:
character variable with values "Male" and "Female"
integer variable with the year the survey was conducted in. Most tests were conducted across two years, so the earlier year is used.
character variable for age in years
character variable with values "White", "Black", "Hispanic", "Mexican", and "Other"
factor variable with levels "Middle school" < "High school" < "Some college" < "College"
factor variable for household income groups with levels "0-4999" < ... < "more 99999"
double variable for weight in kilograms
double variable for height in centimeters
double variable for body mass index
integer variable for pulse in beats per minute or bpm
integer variable with values 0/1 indicating whether patient suffers from diabetes
integer variable for general health ranked from 1-5. 1 maps to "poor", 2 is "fair", 3 is "good", 4 is "very good", and 5 is "excellent".
factor variable Self-reported number of days where participant felt down, depressed or hopeless. Reported for participants aged 18 years or older. with levels, "Several", "None", "Most" number of days over two week period. Survey answers included: "Not at all", "Several days", "More than half the days", "Nearly every day" (source: NHANES DPQ_F (2009-2010))
integer variable for number of pregnanices. NA if the individual, regardless of sex, hasn't experienced a pregnancy
integer value for hours of sleep per night on average
In order to get a demographically diverse range of responses, minority groups were surveyed more heavily. However, this skewed the survey results to have an inaccurate demographic makeup. To address this, some observations of more common groups are resampled in the data.
David Kane
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