brfss_cog: BRFSS Cognitive Decline Module Data
In bencapistrant/brfssR: Behavioral Risk Factor Surveillance Survey (BRFSS) Data

Description Usage Format Source Examples

BRFSS Cognitive Decline Module Questions asked from 2015-2020 https://www.cdc.gov/aging/pdf/2015-brfss-cognitive-decline-module.pdf.

brfss_cog

A "long" data frame with rows of individual BRFSS respondents in a given state and year and the following column variables:

cog_mem_d_fct: Dichotomous, Factor: 0/1 (No/Yes) for raw variable CIMEMLOS: During the past 12 months, have you experienced confusion or memory loss that is happening more often or is getting worse? No/Yes
cog_mem_d_num: Dichotomous, Numeric: 0/1 for raw variable CIMEMLOS: During the past 12 months, have you experienced confusion or memory loss that is happening more often or is getting worse?
cog_hous_cat_fct: Categorical, Factor: Always, Usually, Sometimes, Rarely, Never for raw variable CDHOUSE - During the past 12 months, as a result of confusion or memory loss, how often have you given up day-to-day household activities or chores you used to do, such as cooking, cleaning, taking medications, driving, or paying bills?
cog_hous_d_fct: Dichotomous, Factor: Sometimes + (Always, Usually, Sometimes) or Rarely/Never for raw variable CDHOUSE - During the past 12 months, as a result of confusion or memory loss, how often have you given up day-to-day household activities or chores you used to do, such as cooking, cleaning, taking medications, driving, or paying bills?
cog_asst_cat_fct: Categorical, Factor: Always, Usually, Sometimes, Rarely, Never for raw variable for raw variable CDASSIST - As a result of confusion or memory loss, how often do you need assistance with these day-to-day activities?
cog_asst_d_fct: Dichotomous, Factor: Sometimes + (Always, Usually, Sometimes) or Rarely/Never for raw variable for raw variable CDASSIST - As a result of confusion or memory loss, how often do you need assistance with these day-to-day activities?
cog_help_cat_fct: Categorical, Factor: Always, Usually, Sometimes, Rarely, Never for raw variable for raw variable CDHELP - When you need help with these day-to-day activities, how often are you able to get the help that you need?
cog_help_cat_fct2: Categorical, Factor: Always, Usually, Sometimes, Rarely, Never or Never Need (which keeps those who don't need help in their own category rather than as NA in cog_help_cat_fct) for raw variable for raw variable CDHELP - When you need help with these day-to-day activities, how often are you able to get the help that you need?
cog_help_d_fct: Dichotomous, Factor: Sometimes + (Always, Usually, Sometimes) or Rarely/Never for raw variable for raw variable CDHELP - When you need help with these day-to-day activities, how often are you able to get the help that you need?
cog_social_cat_fct: Categorical, Factor: Always, Usually, Sometimes, Rarely, Never for raw variable for raw variable CDSOCIAL - During the past 12 months, how often has confusion or memory loss interfered with your ability to work, volunteer, or engage in social activities outside the home?
cog_social_cat_fct2: Categorical, Factor: Always, Usually, Sometimes, Rarely, Never or Never Need (which keeps those who don't need help in their own category rather than as NA in cog_social_cat_fct) for raw variable for raw variable CDSOCIAL - During the past 12 months, how often has confusion or memory loss interfered with your ability to work, volunteer, or engage in social activities outside the home?
cog_social_d_fct: Dichotomous, Factor: Sometimes + (Always, Usually, Sometimes) or Rarely/Never for raw variable for raw variable CDSOCIAL - During the past 12 months, how often has confusion or memory loss interfered with your ability to work, volunteer, or engage in social activities outside the home?
cog_dscs_d_fct: Dichotomous, Factor: No/Yes for raw variable CDDISCUS: Have you or anyone else discussed your confusion or memory loss with a health care professional?
cog_dscs_d_num: Dichotomous, Numeric: 0/1 for raw variable CDDISCUS: Have you or anyone else discussed your confusion or memory loss with a health care professional?
x_state: numeric variable of state
state: state FIPS code, labeled with state alphabetic abbreviation
seqno: identificaiton variable
year: Numeric year: 2014-2020
x_psu: Primary Sampling Unit Variable
x_ststr: Sampling Strata Variable
cog_wt_raw: Original,raw sampling weight: 2014-2020
version_cog: Character, Version of data: Core (X_LLCPWT), V1 (X_LCPWTV1), V2(X_LCPWTV2), V3 (X_LCPWTV3)

BRFSS Annual Survey Data https://www.cdc.gov/brfss/annual_data/annual_data.htm.

# To adjust the sampling weight (cog_wt_raw) by dividing
# the sampling weight by the number of instances a state
# is in the data, run:
library(tidyverse)
data(brfss_cog)
waves<-brfss_cog %>%
  filter(year %in% 2016:2017) %>% #keeping only 2016-2017 for illustration
  group_by(year,state) %>%
  slice(1) %>% #keeping the first observation of each state + year
  ungroup() %>%
  group_by(state) %>% #grouping by state
  count() %>% #counting how many years the state was included
  rename(wave=n) #renaming as wave
brfss_cog<-full_join(brfss_cog,waves,by="state") %>%
  mutate(cog_wt_adj = cog_wt_raw/wave) #adjusting the weight by number of waves