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Calculating the AUDIT and AUDIT-C scores.

Usage

alc_audit(data)

Arguments

data

Data table - the health survey dataset

Value

  • audit1-10 - score for individual AUDIT questions

  • audit - full AUDIT score (1-40)

  • audit_c - AUDIT-C score (1-12)

  • audit_cat - categorisation of AUDIT; low risk (1-7), medium risk (8-15), higher risk (16-19), possible dependence (20-40)

  • audit_c_cat - categorisation of AUDIT-C; low risk (1-4), medium risk (5-7), higher risk (8-10), possible dependence (11-12)

Examples


if (FALSE) { # \dontrun{

data <- read_2016()
data <- clean_age(data)
data <- clean_demographic(data)
data <- alc_drink_now(data)
data <- alc_sevenday(data)
data <- alc_weekmean(data)

} # }