Las características e individualidad de la variación de las ingestas de energía de las mujeres jóvenes universitarias de estratos socioeconómicos altos en la ciudad de Bogotá Academic Article

abstract

  • The gold standard for estimating people's usual intake is the average of multiple days' consumption. This estimate is based on Beaton's model, which considers independence and two sources of variation: between and within individuals. There is evidence and physiological arguments that this is not necessarily always the case, which would have very relevant effects on dietary assessment procedures. Subjects and Methods: For 28 days, the daily food consumption of 43 middle-class university women was recorded, trained and supervised to collect the information. Results: Low levels of total calorie intake were recorded, with no difference when comparing weekdays and weekends. Considering the intake values of each person as a time series, no autocorrelations were found considering delays between 1 and 7 days. There were differences between the variances in intakes of the participants. Conclusion: Insufficient intakes coincided with the feeding problems reported in this population group, which could also explain the independence between days since some kind of autocorrelation was expected according to the reports in the literature. The hypothesis of homogeneity of the variances of the individuals was not fulfilled, so it was not correct to speak of an "within" variance but of a population distribution of the variances. The Beaton model should have been modified and considered a probability distribution for the characterization of the number of days in which intakes should be evaluated.Translated with www.DeepL.com/Translator

publication date

  • 2016/1/1

edition

  • 43

keywords

  • Demography
  • Energy Intake
  • Food
  • Population Groups
  • autocorrelation
  • energy intake
  • food consumption
  • gold
  • methodology
  • population distribution
  • probability distribution
  • socioeconomics
  • time series analysis

International Standard Serial Number (ISSN)

  • 0716-1549

number of pages

  • 8

start page

  • 359

end page

  • 367