# binge_drinker_fun: Binge drinking In cchsflow: Transforming and Harmonizing CCHS Variables

## Description

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

## Usage

 ``` 1 2 3 4 5 6 7 8 9 10 11``` ```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

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49``` ``` # 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.