calc_food_insecurity: Calculate Food Insecurity Risk

In AOUSDOHtools: Analyzing AOU SDOH Survey Data

Calculate Food Insecurity Risk

Description

This function creates a binary categorical variable (TRUE/FALSE) indicating whether a participant is at risk or currently experiencing food insecurity based on their responses to two specific survey items.

Usage

calc_food_insecurity(survey_df)

Arguments

survey_df

A data frame containing survey data with at least three columns: 'person_id', 'question_concept_id', and 'answer_concept_id'.

Value

A data frame with two columns: 'person_id' and 'food_insecurity', where 'food_insecurity' is TRUE if the participant reported experiencing food insecurity, and FALSE otherwise. Participants who did not respond to both questions will have an NA value for 'food_insecurity'.

Examples

# Create a sample survey data frame
survey_df <- data.frame(
  person_id = c(1, 1, 2, 2, 3, 3, 4, 4, 5, 5),
  question_concept_id = rep(c(40192426, 40192517), 5),
  answer_concept_id = c(40192508, 40192488, 40192508, 903096, 903096, 903096,
                        40192488, 40192488, 40192508, 40192508)
)

# Compute food insecurity risk scores
food_insecurity_scores <- calc_food_insecurity(survey_df)
head(food_insecurity_scores)

AOUSDOHtools documentation built on April 3, 2025, 8:11 p.m.