computeMDS05: computeMDS05

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

Description

Computes the Mediterranean Diet adherence score developed by Trichopoulou et al. in 2005 (MDS05), which is an update of their previously developed version.

Usage

computeMDS05(data, Vegetables, Legumes, FruitAndNuts,
             Cereals, Potatoes = NULL, Fish, Meat, Dairy, Alcohol,
             Fats = NULL, MUFA = NULL, PUFA = NULL, SFA = NULL,
             Sex, men = "male", women= "female",
             frequency = NULL, output = "percent", 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
Vegetables	Numeric variable with Vegetables consumption as grams
Legumes	Numeric variable with Legumes consumption as grams
FruitAndNuts	Numeric variable with consumption of Fruits and Nuts as grams
Cereals	Numeric variable with Cereals consumption as grams
Potatoes	Numeric variable with Potatoes consumption as grams
Fish	Numeric variable with Fish consumption as grams
Meat	Numeric variable with Meat consumption as grams
Dairy	Numeric variable with Dairy consumption as grams
Alcohol	Numeric variable with Alcohol consumption as etanol grams from any beberage origin
Fats	Optional. Numeric variable with a ratio of consumption of Mono and Poli Unsaturated Fatty Acids (MUFA + PUFA) over Saturated Fatty Acids (SFA). If it is not provided, then individual MUFA, PUFA and SFA should be provided
MUFA	Optional if Fats is provided. Numeric variable with consumption of Mono Unsaturated Fatty Acids, units should be the same as used with PUFA and SFA
PUFA	Optional if Fats is provided. Numeric variable with consumption of Poli Unsaturated Fatty Acids
SFA	Optional if Fats is provided. Numeric variable with consumption of Saturated Fatty Acids
Sex	Vector with gender, it can be numeric, factor or character, as long as its values are provided by 'men' and 'women' arguments. If 'Sex' argument is character or factor, and values for male are either 'man', 'male', 'MAN' or 'MALE', and for females are 'woman', 'female', 'WOMAN' or 'FEMALE', then, the arguments 'men' and 'women' can be missing
men	A character string with the value of male gender, default is "male"
women	A character string with the value of female gender, default is "female"
frequency	A character string. Allowed values are 'daily', 'weekly' and 'monthly'. It informs about the frequency which food or nutrient consumption refers to (i.e. wether the rest of arguments are 'grams per day' or 'grams per week' or 'grams per month')
output	A character string to set which output should the formula give, allowed values are 'data.frame', 'score' and 'percent' (default).
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

This score is an update of the landmark first Mediterranean Diet Score (MDS), published in 1995, which includes fish consumption (previously introduced) and which sums MUFA + PUFA.

Original 1995 paper of Trichopoulou et al. included potatoes with cereals, but later research has challenged this view. If you want to compute the score as originally developed, provide potato consumption as 'Potatoes' argument, and you will get a warning informing you that both have been used together in the score. If you don't want to compute potatoes consumption, don't provide 'Potatoes' argument, and you will receive a warning informing you that you are diverting from the very original score. Some score components are a combination of foods you may have as separated variables, if so, you can just add them toghether (v.gr. miFruitVariable + miNutsVariable).

Score values (MUFA + PUFA) / SFA. Depending in how your data has been developed, you can provide the ratio as 'Fats' argument or the triada 'MUFA', 'PUFA' and 'SFA', but if you provide this information by both of the ways, just 'Fats' argument will be computed, and you will receive a warning asking you to check the arguments.

Value

Computed MDS05 score. 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 = 'score'	Instead of the fullchecking package dependencies ... NOTE No repository set, so cyclic dependency check skipped data.frame, just the integer vector corresponding to the absolute points of adherence to Mediterranean Diet for each person, from 0 (min.) to 9 (max.)
if output = 'percent'	Instead of the full data.frame, just the numeric vector corresponding to the percent of adherence to Mediterranean Diet for each person, from 0 (min. adherence) to 100 percent (max. adhrence)

References

Trichopoulou, A., A. Kouris-Blazos, M. L. Wahlqvist, C. Gnardellis, P. Lagiou, E. Polychronopoulos, T. Vassilakou, L. Lipworth, and D. Trichopoulos. 1995. "Diet and Overall Survival in Elderly People." BMJ (Clinical Research Ed.) 311 (7018): 1457–60.

Trichopoulou, Antonia, Tina Costacou, Christina Bamia, and Dimitrios Trichopoulos. 2003. "Adherence to a Mediterranean Diet and Survival in a Greek Population." New England Journal of Medicine 348 (26): 2599–2608. doi:10.1056/NEJMoa025039.

Trichopoulou, Antonia, Philippos Orfanos, Teresa Norat, Bas Bueno-de-Mesquita, Marga C. Ocke, Petra HM Peeters, Yvonne T. van der Schouw, et al. 2005. "Modified Mediterranean Diet and Survival: EPIC-Elderly Prospective Cohort Study." BMJ 330 (7498): 991. doi:10.1136/bmj.38415.644155.8F.

Examples

data(nutriSample)
MedDiet <- computeMDS05(data = nutriSample,
        Vegetables = P41grCom + P42grCom,
        Legumes =  P46grCom,
        FruitAndNuts =  P50grCom + P52grCom + P53grCom,
        Cereals = P55grCom + P56grCom + P57grCom + P59grCom +
                  P60grCom + P61grCom + P62grCom,
        Fish = P35grCom + P36grCom + P37grCom + P38grCom,
        Meat = P29grCom + P30grCom + P31grCom + P32grCom,
        Dairy = P19grCom + P20grCom + P20grCom + P22grCom + P23grCom +
                P24grCom + P25grCom + P26grCom + P27grCom,
        Alcohol =  12 * (P94rac + P96rac + P97rac + P98rac + P99rac),
        Potatoes =  P43grCom +  P44grCom +  P45grCom,
        MUFA =  totalGrasaMonoins,
        PUFA =  totalGrasaPoliins,
        SFA =  totalGrasaSat,
        Sex =  SEXO, men = "Hombre", women = "Mujer", frequency = "daily",
        output = "percent", rm.na = FALSE)
hist(MedDiet)

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