DASH_ASA24 — DASH_ASA24 • dietaryindex

Calculate the DASH for the ASA24 data within 1 step

Usage

DASH_ASA24(
  DATA_PATH,
  SKIM_MILK_code = NULL,
  LOWF_CHEESE_code = NULL,
  SSB_code = NULL,
  RECALL_SUMMARIZE = TRUE
)

Arguments

DATA_PATH: The file path for the data. The file name should be like: Items.csv
SKIM_MILK_code: The food code for skim milk, default is the skim milk code from 17-18 FNDDS file
LOWF_CHEESE_code: The food code for low-fat cheese, default is the low-fat cheese code from 17-18 FNDDS file
SSB_code: The food code for sugar sweetened beverage, default is the SSB code from 17-18 FNDDS file
RECALL_SUMMARIZE: Whether to summarize the recalls to the person level, default is TRUE

Value

The DASH and its component scores

Examples

data("ASA24_exp_detailed")
DASH_ASA24(ASA24_exp_detailed, SKIM_MILK_code = NULL, LOWF_CHEESE_code = NULL, SSB_code = NULL, RECALL_SUMMARIZE = TRUE)
#> Since no SSB code is provided, the default SSB code from 17-18 FNDDS file is used.
#> Since no skim milk code is provided, the default skim milk code from 17-18 FNDDS file is used.
#> Since no low-fat cheese code is provided, the default low-fat cheese code from 17-18 FNDDS file is used.
#> RECALL_SUMMARIZE = TRUE, summarizing HEI2015 for ASA24 data by averaging over all possible recalls per person per day...
#> Reminder: this DASH index uses quintiles to rank participants' food/drink serving sizes and then calculate DASH component scores, which may generate results that are specific to your study population but not comparable to other populations.
#> # A tibble: 21 × 11
#> # Groups:   UserName, UserID [21]
#>    UserName UserID           DASH_ALL DASH_FRT DASH_VEG DASH_NUTSLEG DASH_WGRAIN
#>    <chr>    <chr>               <dbl>    <dbl>    <dbl>        <dbl>       <dbl>
#>  1 THR01    e6541891-8a22-4…       28        5        5            5           5
#>  2 THR02    dbb278b0-b589-4…       32        5        5            5           5
#>  3 THR03    f0115426-e6f8-4…       28        5        5            5           5
#>  4 THR04    337d84a7-3bff-4…       28        1        5            5           5
#>  5 THR05    998f098a-8584-4…       16        1        1            1           5
#>  6 THR06    aae330db-8f22-4…       24        5        5            1           1
#>  7 THR07    76e0f3e1-8e17-4…       28        5        5            1           5
#>  8 THR08    24de994f-e06a-4…       36        5        5            5           5
#>  9 THR09    8f61ae64-6a82-4…       28        5        5            5           5
#> 10 THR10    b47ab1b8-e62b-4…       36        5        5            5           5
#> # ℹ 11 more rows
#> # ℹ 4 more variables: DASH_LOWF_DAIRY <dbl>, DASH_SODIUM <dbl>,
#> #   DASH_REDPROC_MEAT <dbl>, DASH_SSB_FRTJ <dbl>