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Nutritional Analysis of the Spanish Population: A New Approach Using Public Data on Consumption.

Isabel CerrilloPablo Saralegui-DíezRubén Morilla Romero de la OsaManuel González de MolinaGloria I Guzmán
Published in: International journal of environmental research and public health (2023)
Official population consumption data are frequently used to characterize the diet of countries; however, this information may not always be representative of reality. This study analyses the food consumption of the Spanish population by reconstructing the whole food chain. The results have been compared with the data provided by the National Consumption Panel to which the food losses/waste reported in the literature along the distribution chain have been added. The difference between them allowed a new calculation of the estimated food consumption that was subjected to a dietary-nutritional analysis. Most of the foods were consumed more than those officially reported (range of 5-50%). The unhealthy ratios of consumed foods and recommended servings were: meat products (Rcr = 3.6), fruits and legumes (Rcr = 0.5), and nuts (Rcr = 0.14). Caloric intake surpasses needs. The results were consistent with the data on the prevalence of overweight and obesity in Spain, as well as with the prevalence of associated diseases. To make a judgment about the quality of a country's diet, it is necessary to have reliable data on food consumption, as well as energy and nutrient intake. This study encourages other authors to implement this method to verify and quantify the possible difference between official and real consumption data.
Keyphrases
  • electronic health record
  • big data
  • systematic review
  • physical activity
  • healthcare
  • human health
  • risk factors
  • emergency department
  • mental health
  • machine learning
  • deep learning
  • health information
  • monte carlo