Handling random errors and biases in methods used for short-term dietary assessment

Authors

  • Sinara L Rossato Harvard School of Public Health; Department of Nutrition
  • Sandra C Fuchs Universidade Federal do Rio Grande do Sul; Faculdade de Medicina

DOI:

https://doi.org/10.1590/S0034-8910.2014048005154

Abstract

Epidemiological studies have shown the effect of diet on the incidence of chronic diseases; however, proper planning, designing, and statistical modeling are necessary to obtain precise and accurate food consumption data. Evaluation methods used for short-term assessment of food consumption of a population, such as tracking of food intake over 24h or food diaries, can be affected by random errors or biases inherent to the method. Statistical modeling is used to handle random errors, whereas proper designing and sampling are essential for controlling biases. The present study aimed to analyze potential biases and random errors and determine how they affect the results. We also aimed to identify ways to prevent them and/or to use statistical approaches in epidemiological studies involving dietary assessments.

Published

2014-10-01

How to Cite

Rossato, S. L., & Fuchs, S. C. (2014). Handling random errors and biases in methods used for short-term dietary assessment . Revista De Saúde Pública, 48(5), 845-850. https://doi.org/10.1590/S0034-8910.2014048005154

Issue

Section

Brief Communication