Minimum Dietary Diversity - Women (MDD-W)

Outcome indicator, SDG indicator

Indicator Phrasing

% of women of reproductive age (15 - 49 years) who ate foods from ≥ 5 food groups the previous day or night
% de femmes en âge de procréer (15 - 49 ans) ayant consommé des aliments appartenant à au moins 5 groupes d’aliments distincts le jour ou la nuit précédents
% žen v reproduktivním věku (15 - 49 let), které v uplynulém dni a noci konzumovaly jídlo z alespoň 5 potravinových skupin

Indicator Phrasing

English: % of women of reproductive age (15 - 49 years) who ate foods from ≥ 5 food groups the previous day or night

French: % de femmes en âge de procréer (15 - 49 ans) ayant consommé des aliments appartenant à au moins 5 groupes d’aliments distincts le jour ou la nuit précédents

Czech: % žen v reproduktivním věku (15 - 49 let), které v uplynulém dni a noci konzumovaly jídlo z alespoň 5 potravinových skupin

What is its purpose?

MDD-W assesses the proportion of women 15-49 years of age who have consumed at least five out of the ten pre-defined food groups the previous day or night. It is an indicator of a diet's micronutrient adequacy, an important dimension of its quality.

How to Collect and Analyse the Required Data

Determine the indicator's value by conducting individual interviews with a representative sample of the target group members:

 

1)  Check whether yesterday was a special day (religious festival or celebration) when unusually varied or limited diet was eaten - if so, do not proceed with collecting dietary data as it is likely that they will not reflect a typical diet.

  

2) List all meals which the respondent ate in the previous day in the Recording Meals Form (see link below).

  

3) Double check the meals composition (e.g. porridge with or without milk).

  

4) Check for any snacks (including fruits) which were not mentioned.

  

5) Only then record in the questionnaire which food groups were eaten. Double check with the respondent regarding foods eaten from groups that were not mentioned (for example: "Did you yesterday eat any eggs?")

  

6) Count the number of consumed food groups consumed by the interviewed women during the previous day and night. 

   

7) Calculate the indicator's value by dividing the number of women who consumed food from at least 5 food groups by the total number of interviewed women and multiplying the result by 100. 

Important Comments

1) According to FAO's Compendium of Indicators for Nutrition-Sensitive Agriculture, MDD-W has replaced WDDS (Women's Dietary Diversity Score) indicator. 

 

2) The main difference between WDDS and MDD-W is that while WDDS shows us the extent to which the target population changed the average diversity of its diet (for example, from an average of 3.5 to 4.3 food groups), MDD-W tells us the proportion of the target population whose diet is sufficiently varied (i.e. meet the requirement of including at least 5 food groups).

 

3) In addition to learning the proportion of women who consumed foods from 5 or more food groups, MDD-W data can also be used to assess:

     i) average dietary diversity score

     ii) proportion of women who consumed any specific food group, such as animal source foods 

  

4) Dietary diversity is prone to seasonal differences. Do your best to collect baseline and endline data in the same period of a year; otherwise it is very likely that they will not be comparable.

  

5) Record food groups in the questionnaire only after all meals were listed in the Recording Meals Form – never record them straightaway as it is very likely that the number of food groups consumed will be underreported.

  

6) When training your data collectors, practice extensively which meals belong to which food group. If your questionnaire includes examples of different foods per each group, ensure that the examples are relevant to the local context.

  

7) Do not record foods in quantities lower than one tea spoon (for example, a small amount of fish powder added for flavouring).

  

8) Make sure that you do not collect data during the fasting periods (such as pre-Easter time or Ramadan) and fast days. 

  

9) Disaggregate the data by age groups. 

 

10) Use the excellent FAO/ FANTA's guidance on MDD-W (access below).

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