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Échelle de mesure de l'insécurité alimentaire vécue

Eight Key Questions

The FIES Survey Module (FIES-SM) consists of eight questions regarding people's access to adequate food, and can be easily integrated into various types of population surveys

Huit questions clés

À un moment donné au cours des 12 derniers MOIS, vous êtes-vous trouvé(e) dans une situation où, faute d’argent ou d’autres moyens: 

1. vous avez eu peur de ne plus avoir assez à manger?
2. vous ne pouviez pas manger des aliments nourrissants et bons pour la santé?
3. vous mangiez presque toujours la même chose?
4. vous avez dû sauter un repas?
5. vous n’avez pas mangé autant qu’il aurait fallu?
6. il n’y avait plus rien à manger à la maison?
7. vous aviez faim mais vous n’avez pas mangé?
8. vous n’avez rien mangé de toute la journée?

La série de huit questions compose une échelle qui couvre plusieurs degrés d’insécurité alimentaire: 

The FIES differs from traditional approaches that assess food insecurity indirectly, such as FAO's Prevalence of Undernourishment, measures of food security determinants (such as food availability or income) and potential outcomes (such as nutritional status). 

No single tool can account for the many dimensions of food and nutrition security. The FIES complements the existing set of food and nutrition security indicators. Used in combination with other measures, the FIES has the potential to contribute to a more comprehensive understanding of the causes and consequences of food insecurity and to inform more effective policies and interventions.  Because the FIES is easy for professionals and institutions from any sector to use, its inclusion in diverse types of surveys can help strengthen links between different sectorial perspectives, for example, between agriculture, social protection, health and nutrition.

The FIES is a statistical scale similar to other widely-accepted scales designed to measure unobservable traits such as aptitude/intelligence, personality, and a broad range of social psychology and health-related conditions. Responses to the questions must always be analyzed together as a scale, not as separate items. Comparability of results across countries is achieved through the use of statistical techniques borrowed from the toolkit of Item Response Theory (IRT) models, commonly used in the educational and psychological testing fields.