This paper considers econometric issues related to time-series data that have been subject to abrupt governmental interventions. The motivating example for this study is the Brazilian monthly in¯ation rate (1974 : 1±1993 : 6) which we use throughout for illustration. This series has been heavily in¯
An Application of Criteria to Evaluate Quality of Dietary Fibre Data in Brazilian Foods
✍ Scribed by Elizabete W. Menezes; Lúcia Caruso; Franco M. Lajolo
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 234 KB
- Volume
- 13
- Category
- Article
- ISSN
- 0889-1575
No coin nor oath required. For personal study only.
✦ Synopsis
Food composition data are very relevant to any study of human nutrition. An important consideration is the data control quality, which ensures the reliability of the information. It is not enough to have just data but their quality has to be evaluated. The analytical results will be considered unreliable if there is not a clear and accurate program of quality control. The dietary "bre (DF) was chosen as a model with the purpose of applying the USDA criteria used for evaluation of selenium, copper and carotenoids. The reason for this choice was the lack of data about this nutrient, and because of the important role DF plays in the prevention of chronic diseases. Dietary "bre data were graded through standardized questions and decision pathways developed for the categories listed as follows: number of samples, sampling plan, sample handling, analytical method and analytical quality control. From these categories a con"dence code (CC) was established and Brazilian foods could be graded. The CC obtained for 180 foods were 29% with codes A and B (considerable and reasonable con"dence) and 71% with code C (reduced con"dence). However, it was not possible to establish the CC for 244 compiled foods due to the inadequate methodology applied to many of them. The quality evaluation of the DF data allowed not only assessment of reliable actual data, but the identi"cation of priority foods for analysis as well. The evaluated DF data was then included in a Brazilian Food Composition Database (http://www.fcf.usp.br/tabela) which allowed users to obtain acceptable information on the intake of dietary "bre (DF) by the population.
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