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A probabilistic model to evaluate population dietary recommendations.
- Source :
-
The British journal of nutrition [Br J Nutr] 2014 Jul 28; Vol. 112 (2), pp. 277-84. Date of Electronic Publication: 2014 Apr 29. - Publication Year :
- 2014
-
Abstract
- Food-based dietary recommendations (FBR) play an essential role in promoting a healthy diet. To support the process of formulating a set of population-specific FBR, a probabilistic model was developed specifically to predict the changes in the percentage of a population at risk of inadequate nutrient intakes after the adoption of alternative sets of FBR. The model simulates the distribution of the number of servings per week from food groups or food items at baseline and after the hypothetical successful adoption of alternative sets of FBR, while ensuring that the population's energy intake distribution remains similar. The simulated changes from baseline in median nutrient intakes and the percentage of the population at risk of inadequate nutrient intakes are calculated and compared across the alternative sets of FBR. The model was illustrated using a hypothetical population of 12- to 18-month-old breast-feeding children consuming a cereal-based diet low in animal source foods.
- Subjects :
- Computer Simulation
Databases, Factual
Deficiency Diseases epidemiology
Deficiency Diseases ethnology
Deficiency Diseases prevention & control
Diet Surveys
Energy Intake ethnology
Health Behavior ethnology
Humans
Patient Compliance ethnology
Recommended Dietary Allowances
Risk
Diet ethnology
Functional Food
Health Promotion standards
Models, Statistical
Nutrition Policy
Subjects
Details
- Language :
- English
- ISSN :
- 1475-2662
- Volume :
- 112
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- The British journal of nutrition
- Publication Type :
- Academic Journal
- Accession number :
- 24779993
- Full Text :
- https://doi.org/10.1017/S0007114514000695