Create older people indicators for food intake from survey data collected using the standard RAM-OP questionnaire

Usage

create_op_food(svy)

Arguments

svy: A data.frame collected using the standard RAM-OP questionnaire

Value

A dataframe of older people indicators on food intake

Dietary intake indicators

These dietary intake indicators have been purpose-built for older people but the basic approach used is described in:

Kennedy G, Ballard T, Dop M C (2011). Guidelines for Measuring Household and Individual Dietary Diversity. Rome, FAO https://www.fao.org/3/i1983e/i1983e00.htm

and extended to include indicators of probable adequate intake of a number of nutrients / micronutrients.

MF: Meal frequency
DDS: Dietary Diversity Score (count of 11 groups)
FG01: Cereals
FG02: Roots and tubers
FG03: Fruits and vegetables
FG04: All meat
FG05: Eggs
FG06: Fish
FG07: Legumes, nuts and seeds
FG08: Milk and milk products
FG09: Fats
FG10: Sugar
FG11: Other
proteinRich: Protein rich foods
pProtein: Protein rich plant sources of protein
aProtein: Protein rich animal sources of protein
pVitA: Plant sources of vitamin A
aVitA: Animal sources of vitamin A
xVitA: Any source of vitamin A
ironRich: Iron rich foods
caRich: Calcium rich foods
znRich: Zinc rich foods
vitB1: Vitamin B1-rich foods
vitB2: Vitamin B2-rich foods
vitB3: Vitamin B3-rich foods
vitB6: Vitamin B6-rich foods
vitB12: Vitamin B12-rich foods
vitBcomplex: Vitamin B1/B2/B3/B6/B12-rich foods

Author

Mark Myatt

Examples

# Create food intake indicators dataset from RAM-OP survey data collected
# from Addis Ababa, Ethiopia
create_op_food(testSVY)
#> # A tibble: 192 × 31
#>      psu  sex1  sex2    MF   DDS  FG01  FG02  FG03  FG04  FG05  FG06  FG07  FG08
#>    <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#>  1   201     0     1     3     6     1     1     1     0     0     1     1     0
#>  2   201     1     0     3     7     1     1     1     0     0     0     1     0
#>  3   201     1     0     2     2     0     0     0     0     0     1     0     0
#>  4   201     0     1     3     3     1     1     0     0     0     0     1     0
#>  5   201     0     1     3     5     1     0     1     0     0     1     0     0
#>  6   201     1     0     4     5     1     1     0     0     0     1     1     0
#>  7   201     1     0     3     6     1     1     1     0     0     1     1     0
#>  8   201     0     1     3     4     1     1     0     0     0     0     1     0
#>  9   201     1     0     2     4     1     0     1     0     0     0     0     0
#> 10   201     0     1     2     6     1     1     1     1     0     0     0     0
#> # ℹ 182 more rows
#> # ℹ 18 more variables: FG09 <dbl>, FG10 <dbl>, FG11 <dbl>, proteinRich <dbl>,
#> #   pProtein <dbl>, aProtein <dbl>, pVitA <dbl>, aVitA <dbl>, xVitA <dbl>,
#> #   ironRich <dbl>, caRich <dbl>, znRich <dbl>, vitB1 <dbl>, vitB2 <dbl>,
#> #   vitB3 <dbl>, vitB6 <dbl>, vitB12 <dbl>, vitBcomplex <dbl>