Nothing
# demographics
demo <- pull_nhanes("demo") # 113249
# acculturation
acq <- pull_nhanes("acq") # 89381
# allergies
agq <- pull_nhanes("agq") # 9822
# alcohol
alq <- pull_nhanes("alq") # 59896
# audiometry
auq <- pull_nhanes("auq") # 98785
# blood pressure & cholesterol questionnaire
bpq <- pull_nhanes("bpq") # 72093
# cardiovascular health
cdq <- pull_nhanes("cdq") # 36252
# cormorbidity functioning
cfq <- pull_nhanes("cfq") # 7178
# consumer behavior
cbq <- pull_nhanes("cbq") # 59842
# creatinine kinase
ckq <- pull_nhanes("ckq") # 13528
# diabetes
diq <- pull_nhanes("diq") # 108555
# dietary interview, individual food first day
dr1iff <- pull_nhanes("dr1iff") # 1166975
# dietary interview, second day
dr2iff <- pull_nhanes("dr2iff") # 1010395
# total nutrient intake, first day
dr1tot <- pull_nhanes("dr1tot") # 85867
# total nutrient intake, second day
dr2tot <- pull_nhanes("dr2tot") # 85867
# food codes -- REVISIT THIS LATER: NO SEQN VARIABLE
# drxfcd <- pull_nhanes('drxfcd')
# modification codes -- SAME AS ABOVE
# drxmcd <- pull_nhanes('drxmcd')
# substance use
duq <- pull_nhanes("duq") # 41709
# dermatology
deq <- pull_nhanes("deq") # 41880
# diet, behavior, & nutrition
dbq <- pull_nhanes("dbq") # 113249
# disability
dlq <- pull_nhanes("dlq") # 28242
# mental health -- depression screener
dpq <- pull_nhanes("dpq") # 46833
# early childhood
ecq <- pull_nhanes("ecq") # 38063
# food security
fsq <- pull_nhanes("fsq") # 113249
# health insurance
hiq <- pull_nhanes("hiq") # 113249
# hepatitis
heq <- pull_nhanes("heq") # 35513
# current health status
hsq <- pull_nhanes("hsq") # 99855
# hospital utilization & access to care
huq <- pull_nhanes("huq") # 113249
# immunization
imq <- pull_nhanes("imq") # 112881
# income
inq <- pull_nhanes("inq") # 71775
# kidney conditions & urology
# 1999
kiq <- pull_nhanes("kiq") # 4880
# 2001+
kiq_u <- pull_nhanes("kiq_u") # 58010
# prostate conditions
kiq_p <- pull_nhanes("kiq_p") # 12652
# cancer questions
mcq <- pull_nhanes("mcq") # 108555
# occupation
ocq <- pull_nhanes("ocq") # 73344
# oral health
ohq <- pull_nhanes("ohq") # 94979
# osteoporosis
osq <- pull_nhanes("osq") # 39348
# pesticide use
puqmec <- pull_nhanes("puqmec") # 64445
# physical activity -- individual activities
paqiaf <- pull_nhanes("paqiaf") # 49784
# phyiscal functioning
pfq <- pull_nhanes("pfq") # 93104
# prescription medication -- MULTIPLE ROWS PER PARTICIPANT
rxq_rx <- pull_nhanes("rxq_rx") # 202009
# prescription medication -- drug information
# rxq_drug <- pull_nhanes('rxq_drug')
# physical activity
paq <- pull_nhanes("paq") # 98969
# PSA follow-up
psq <- pull_nhanes("psq") # 173
# respiratory health
rdq <- pull_nhanes("rdq") # 68569
# reproductive health
rhq <- pull_nhanes("rhq") # 39362
# sleep disorders
slq <- pull_nhanes("slq") # 53202
# smoking
smq <- pull_nhanes("smq") # 73889
# smoking -- household
smqfam <- pull_nhanes("smqfam") # 113249
# smoking recent tobacco use
smqrtu <- pull_nhanes("smqrtu") # 55138
# social support
ssq <- pull_nhanes("ssq") # 14086
# sexual behavior
sxq <- pull_nhanes("sxq") # 37137
# vision
viq <- pull_nhanes("viq") # 24464
# weight history
whq <- pull_nhanes("whq") # 72093
# weight history -- youth
whqmec <- pull_nhanes("whqmec") # 10566
# albumin & creatinine
alb_cr <- pull_nhanes("alb_cr") # 65958
# audiometry
aux <- pull_nhanes("aux") # 22760
# audiometry -- accoustic reflex
auxar <- pull_nhanes("auxar") # 101651
# more glucose, etc.
biopro <- pull_nhanes("biopro") # 55138
# body measures
bmx <- pull_nhanes("bmx") # 105626
# blood pressure
bpx <- pull_nhanes("bpx") # 96766
# blood counts
cbc <- pull_nhanes("cbc") # 73218
# --------------------------------------------------------------------------------------
# NOTE: bodyscan has repeated meaures until 2005+. Do not use the full bodyscan in the
# analysis, but use the body dataset instead!
# More info here: https://wwwn.cdc.gov/nchs/data/nhanes/public/2005/datafiles/dxx_d.htm
# bodyscan
dxx <- pull_nhanes("dxx") # 57084
# Example if you\'d like to randomly samply one observation.
# This will only affect 2005 since that is the only cycle with
# repeated or imputed measures. Every other cycle is unaffected.
# CHOOSE WISELY!
#
# set.seed(305)
# dxx_red <- dxx |>
# group_by(seqn) |>
# slice_sample(n = 1) # 29512
# --------------------------------------------------------------------------------------
# diabetes 2
ghb <- pull_nhanes("ghb") # 55138
# glucose
glu <- pull_nhanes("glu") # 27039
# cholesterol
hdl <- pull_nhanes("hdl") # 64445
# hiv
hiv <- pull_nhanes("hiv") # 26137
# cholesterol 2
tchol <- pull_nhanes("tchol") # 64445
# tryglyceride
trigly <- pull_nhanes("trigly") # 27039
# DEXA bodyscan -- android/gynoid measurements (non-repeated measures)
dxxag <- pull_nhanes("dxxag") # 37168
# glycohemoglobin (early naming, 2001-2004)
l10 <- pull_nhanes("l10") # 14435
# plasma fasting glucose, serum c-peptide & insulin (early naming, 2001-2004)
l10am <- pull_nhanes("l10am") # 7022
# glycohemoglobin (1999 naming)
lab10 <- pull_nhanes("lab10") # 6758
# plasma fasting glucose, serum c-peptide & insulin (1999 naming)
lab10am <- pull_nhanes("lab10am") # 3267
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.