binge_drinker_fun: Binge drinking

Description Usage Arguments Details Value Examples

View source: R/alcohol.R

Description

This function creates a derived categorical variable that flags for binge drinking based on the number drinks consumed on a single day.

Usage

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binge_drinker_fun(
  DHH_SEX,
  ALW_1,
  ALW_2A1,
  ALW_2A2,
  ALW_2A3,
  ALW_2A4,
  ALW_2A5,
  ALW_2A6,
  ALW_2A7
)

Arguments

DHH_SEX

sex of respondent (1 - male, 2 - female)

ALW_1

Drinks in the last week (1 - yes, 2 - no)

ALW_2A1

Number of drinks on Sunday

ALW_2A2

Number of drinks on Monday

ALW_2A3

Number of drinks on Tuesday

ALW_2A4

Number of drinks on Wednesday

ALW_2A5

Number of drinks on Thursday

ALW_2A6

Number of drinks on Friday

ALW_2A7

Number of drinks on Saturday

Details

In health research, binge drinking is defined as having an excess amount of alcohol in a single day. For males, this is defined as having five or more drinks; and for females it is four or more drinks. In the CCHS, respondents are asked to count the number of drinks they had during each day of the last week.

Value

Categorical variable (binge_drinker) with two categories:

  1. 1 - binge drinker

  2. 2 - non-binge drinker

Examples

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# Using binge_drinker_fun() to create binge_drinker values across CCHS cycles
# binge_drinker_fun() is specified in variable_details.csv along with the
# CCHS variables and cycles included.

# To transform binge_drinker, use rec_with_table() for each CCHS cycle
# and specify binge_drinker, along with the various alcohol and sex
# variables. Then by using bind_rows() you can combine binge_drinker
# across cycles.

library(cchsflow)
binge2001 <- rec_with_table(
  cchs2001_p, c(
    "ALW_1", "DHH_SEX", "ALW_2A1", "ALW_2A2", "ALW_2A3", "ALW_2A4",
    "ALW_2A5", "ALW_2A6", "ALW_2A7", "binge_drinker"
  )
)

head(binge2001)

binge2009_2010 <- rec_with_table(
  cchs2009_2010_p, c(
    "ALW_1", "DHH_SEX", "ALW_2A1", "ALW_2A2", "ALW_2A3", "ALW_2A4",
    "ALW_2A5", "ALW_2A6", "ALW_2A7", "binge_drinker"
  )
)

tail(binge2009_2010)

combined_binge <- bind_rows(binge2001, binge2009_2010)

head(combined_binge)

tail(combined_binge)

# Using binge_drinker_fun() to generate binge_drinker with user-inputted
# values.
#
# Let's say you are a male, and you had drinks in the last week. Let's say
# you had 3 drinks on Sunday, 1 drink on
# Monday, 6 drinks on Tuesday, 0 drinks on Wednesday, 3 drinks on Thurday,
# 8 drinks on Friday, and 2 drinks on Saturday. Using binge_drinker_fun(),
# we can check if you would be classified as a drinker.

binge <- binge_drinker_fun(DHH_SEX = 1, ALW_1 = 1, ALW_2A1 = 3, ALW_2A2 = 1,
                          ALW_2A3 = 6, ALW_2A4 = 0, ALW_2A5 = 3,
                          ALW_2A6 = 8, ALW_2A7 = 2)

print(binge)

cchsflow documentation built on June 24, 2021, 1:07 a.m.