Literature DB >> 17384792

[Use of linear regression for correction of dietary data].

Betzabeth Slater1, Dirce Maria Lobo Marchioni, Silvia Maria Voci.   

Abstract

OBJECTIVE: Methodological approaches have been developed to minimize effects of measurement error in dietary intake data. The objective of the study was to apply a strategy to correct intake data according to measurement error.
METHODS: Intake data were obtained by applying the Food Frequency Questionnaire in 79 adolescents of São Paulo city, Brazil. Correction of dietary intake data was performed by linear regression, after energy adjustment by the residual method. The reference method used was 24-hour dietary recall and it was applied three times.
RESULTS: Corrected values were similar to reference values. Correction factor gamma was 0.89 to energy. For macronutrients, factors were 0.41, carbohydrate 0.22, and lipid and protein 0.20.
CONCLUSIONS: Mean and standard deviation of corrected values show a correction for the measurement error. The performance of these methods, that are imperfect, is questioned when the assumptions are not proved which is common in intake studies of measures based on the reports of individuals.

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Year:  2007        PMID: 17384792     DOI: 10.1590/s0034-89102007000200004

Source DB:  PubMed          Journal:  Rev Saude Publica        ISSN: 0034-8910            Impact factor:   2.106


  1 in total

1.  Validity and reliability of a food frequency questionnaire to estimate dietary intake among Lebanese children.

Authors:  Patricia Moghames; Nour Hammami; Nahla Hwalla; Nadine Yazbeck; Hikma Shoaib; Lara Nasreddine; Farah Naja
Journal:  Nutr J       Date:  2016-01-12       Impact factor: 3.271

  1 in total

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