Categorical diet indicator

This function categorizes individuals' diet quality based on their total fruit and vegetable consumption.

Usage

categorize_diet_quality(fv_daily)

Arguments

fv_daily

numeric A numeric vector representing the average times per day fruits and vegetables were consumed in a year.

Value

integer A categorical indicating the diet quality:

• 1: Good diet (fv_daily >= 5)

• 2: Poor diet (fv_daily < 5)

• haven::tagged_na("a"): Valid skip

• haven::tagged_na("b"): Missing

Details

This function categorizes diet quality based on the widely recognized "5-a-day" recommendation for fruit and vegetable intake.

     **Missing Data Codes:**
     - Propagates tagged NAs from the input `fv_daily`.

See also

calculate_fv_daily_cycles1to2(), calculate_fv_daily_cycles3to6()

Examples

# Scalar usage: Single respondent
# Example 1: Categorize a fv_daily value of 3 as poor diet
categorize_diet_quality(3)
#> [1] 2
# Output: 2

# Example 2: Categorize a fv_daily value of 7 as good diet
categorize_diet_quality(7)
#> [1] 1
# Output: 1

# Multiple respondents
categorize_diet_quality(c(3, 7, 5))
#> [1] 2 1 1
# Returns: c(2, 1, 1)

# Database usage: Applied to survey datasets
# library(dplyr)
# dataset |>
#   mutate(diet_quality = categorize_diet_quality(total_fv))