NutrienTrackeR (version 1.3.0)

dietBalance: Nutrition calculator

Description

This function calculates the daily nutrient intake of an individual and compares it with the NIH nutrient recommendations (recommended dietary allowances (RDA) and tolerable upper intake levels (TUIL)).

Usage

dietBalance(my_daily_food, food_database = "USDA", age = 27, gender = "female",
            pregnant = FALSE, lactation = FALSE, summary_report = TRUE)

Value

A list, where the first element indicates daily nutrient intake; the second element indicates the contribution of each food to the total intake level of each nutrient (as percentage); and the second element reports the total intake level of each nutrient relative to the RDA (as percentage). When my_daily_food is a list, the results correspond to an average daily intake.

Arguments

my_daily_food

matrix or a list of matrices, where each matrix reports all the foods eaten in a given day. The matrix must have two columns: 1)"food" (reporting food names) and 2) "units" (reporting the number of units relative to 100 grams, e.g. 125 g -> 1.25). For more details, see the dataset "sample_diet_USDA".

food_database

character vector indicating the food database to be used. Possible values are: "USDA", "CIQUAL", "BEDCA", "CNF", "STFCJ".

age

numeric vector indicating age.

gender

character vector indicating gender (i.e. "female" or "male").

pregnant

logical constant indicating pregnancy status.

lactation

logical constant indicating lactation status.

summary_report

logical constant indicating whether a summary of results (e.g.nutrients whose daily intake level is below RDA or above TUIL) will be reported.

References

https://ndb.nal.usda.gov/ndb/

http://www.bedca.net/

https://ciqual.anses.fr/

Examples

## Load data
data(food_composition_data)
data(NIH_nutrient_recommendations)
data(nutrient_group)
data(sample_diet_USDA) ## contains an example of a one-week diet
day1 = sample_diet_USDA[[1]]

weekly_balanceF <- dietBalance(my_daily_food = sample_diet_USDA,
                              food_database = "USDA", age = 27, gender = "female")

day1_balanceF <- dietBalance(my_daily_food = day1,
                            food_database = "USDA", age = 27, gender = "female")

day1_balanceM <- dietBalance(my_daily_food = day1,
                            food_database = "USDA", age = 27, gender = "male")

day1_balanceF <- dietBalance(my_daily_food = day1,
                            food_database = "USDA", age = 27, gender = "male")