clean_demographic: Demographic variables

In dosgillespie/hseclean: Health Survey Data Wrangling

Description

Processes demographic variables.

Usage

clean_demographic(data)

Arguments

data	Data table - the Health Survey for England/Scotland Health Survey dataset.

Details

ETHNICITY In an attempt to harmonise different years of data to the receomended definitions, we have pooled the asian and other categories.

• White (English, Irish, Scottish, Welsh, other European)

• Mixed / multiple ethnic groups

• Asian / Asian British (includes African-Indian, Indian, Pakistani, Bangladeshi), plus Other ethnic group (includes Chinese, Japanese, Philippino, Vietnamese, Arab)

• Black / African / Caribbean / Black British (includes Caribbean, African)

Following inspection of the data, the white/non-white classification does look appropriate, especially given the likely limited sample sizes - so the 2 level variable has also been created.

For 2008-2013 of the Scottish Health Survey, we can create the same 4-category variable as for the HSE, howvere for 2014 onwards, the Scottish Health Survey 2018 only identifies 5 groups of ethnicity:

• White (Scottish)

• White (Other British)

• White (Other)

• Asian

• Other minority ethnic

On the basis of this, only the 2 level variable (white/non-white) has been created for all years for Scotland.

Value

• ethnicity_4cat: 4 level variable (see above).

• ethnicity_2cat: 2 level variable (white/nonwhite).

• sex: m/f

• imd_quintile

Examples

## Not run: 

data_2001 <- read_2001()

data_2001 <- clean_demographic(data = data_2001)


## End(Not run)

dosgillespie/hseclean documentation built on May 2, 2020, 1:15 a.m.