computeMAI99: computeMAI99

In MedDietScore: Scores of Adherence to Mediterranean Diet and Other Tools for Nutriepidemiological Research

Description

Computes Mediterranean Adequacy Index according to Alberti-Fidanza et al. 1999.

Usage

computeMAI99(data, Bread, Cereals, Legumes, Potatoes,
           Vegetables, FruitAndNuts, Fish, Wine, Oil,
           Milk, Cheese, Meat, Eggs, AnimalFats, SoftDrinks, Pastries, Sugar,
           Kcal, output = NULL, rm.na = FALSE)

Arguments

data	Your data set with nutritional information about food or nutrient consumption. Each row is expected to be a person, and food or nutrient intake are in columns.
Bread	Numeric with energy (as Kilocalories) attributable to bread. The argument is the energy measured as Kcal, although the function will score it as percentage of energy respect total energy intake (see Details).
Cereals	Numeric with energy (as Kilocalories) attributable to cereals.
Legumes	Numeric with energy (as Kilocalories) attributable to legumes.
Potatoes	Numeric with energy (as Kilocalories) attributable to potatoes.
Vegetables	Numeric with energy (as Kilocalories) attributable to vegetables.
FruitAndNuts	Numeric with energy (as Kilocalories) attributable to FruitAndNuts.
Fish	Numeric with energy (as Kilocalories) attributable to fish.
Wine	Numeric with energy (as Kilocalories) attributable to wine.
Oil	Numeric with energy (as Kilocalories) attributable to vegetal oils.
Milk	Numeric with energy (as Kilocalories) attributable to milk.
Cheese	Numeric with energy (as Kilocalories) attributable to cheese.
Meat	Numeric with energy (as Kilocalories) attributable to meat.
Eggs	Numeric with energy (as Kilocalories) attributable to eggs.
AnimalFats	Numeric with energy (as Kilocalories) attributable to fats of animal origin.
SoftDrinks	Numeric with energy (as Kilocalories) attributable to soft drinks.
Pastries	Numeric with energy (as Kilocalories) attributable to pastries.
Sugar	Numeric with energy (as Kilocalories) attributable to sugar.
Kcal	Numeric with total energy intake measured as Kcal.
output	A character string to set which output should the formula give, allowed values are 'data.frame' and 'index'.
rm.na	Logical. If set to FALSE (default), a diet score will be computed only if a person has all score components informed. If set to TRUE, NA values in score components will be drop off and a value of available components will be returned, but percent of score adherence will be computed with basis of the whole score range (see Details)

Details

The index components are scored as percent of calories. But to make it easier to the user, arguments should provide the energy each food item provides. Also the total energy intake should be provided, so formula can internally relate them.

Mediterranean Adequacy Index is a ratio of Kcal attributable to healthy foods over Kcal attributable to unhealthy foods, so values could range from 0 to more than 100 (Alberti et al. 2009). The reference italian-mediterranean diet is 7.5 (Alberti-Fidanza et al. 1999). So, value is not a percentage, and comparability with other scores is not direct.

Periodicity argument is not provided, as the equation is a ratio and it is not to vary if food is recorded daily, weekly or monthly.

Value

Computed Mediterranean Adequacy Index. Depending on 'output' argument, value can be a data.frame, or a vector:

if output = 'data.frame'	A data frame with a row corresponding to each person in data. Columns are the score of each component, as well as the global score as natural sum ('absolute' column) and as percentage ('percent' column)
if output = 'index'	Instead of the full data.frame, just the numeric vector corresponding to the absolute points of adherence to Mediterranean Diet for each person. Range can vary widely (see Details).

Author(s)

Miguel Menendez

References

Alberti-Fidanza, A., F. Fidanza, M. P. Chiuchiù, G. Verducci, and D. Fruttini. 1999. "Dietary Studies on Two Rural Italian Population Groups of the Seven Countries Study. 3. Trend Of Food and Nutrient Intake from 1960 to 1991." European Journal of Clinical Nutrition 53 (11): 854–60.

Alberti, Adalberta, Daniela Fruttini, and Flaminio Fidanza. 2009. "The Mediterranean Adequacy Index: Further Confirming Results of Validity.” Nutrition, Metabolism and Cardiovascular Diseases 19 (1): 61–66. doi:10.1016/j.numecd.2007.11.008.

Examples

data(nutriSample)

MedDiet <- computeMAI99(data = nutriSample,
  Bread = P55Kcal + P56Kcal + P57Kcal,
  Cereals = P55Kcal + P56Kcal + P57Kcal + P59Kcal + P60Kcal + P61Kcal + P62Kcal,
  Legumes = P46Kcal,
  Potatoes = P43Kcal + P44Kcal + P45Kcal,
  Vegetables = P41Kcal + P42Kcal,
  FruitAndNuts = P50Kcal + P53Kcal,
  Fish = P35Kcal + P36Kcal + P37Kcal + P38Kcal,
  Wine = P96Kcal,
  Oil = AceiteKcal,
  Milk = P19Kcal + P20Kcal + P21Kcal,
  Cheese = P26Kcal + P27Kcal,
  Meat = P29Kcal + P30Kcal + P31Kcal + P32Kcal,
  Eggs = P28Kcal,
  AnimalFats = P29grGrasa + P30grGrasa + P31grGrasa + P32grGrasa + P33grGrasa + P34grGrasa ,
  SoftDrinks = P89Kcal + P90Kcal,
  Pastries = P69Kcal + P70Kcal + P71Kcal + P72Kcal + P73Kcal,
  Sugar = P84Kcal,
  Kcal = totalKcal,
  output = "index", rm.na = FALSE)
hist(MedDiet)

MedDietScore documentation built on April 3, 2017, 4:01 p.m.