title: [Use of linear regression for correction of dietary data].
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.
authors: Departamento de Nutrição, Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo, SP, Brazil.
authors: Betzabeth
authors: B
authors: Slater
authors: Dirce Maria Lobo
authors: DM
authors: Marchioni
authors: Silvia Maria
authors: SM
authors: Voci
mesh_terms: D000293:Adolescent; D001938:Brazil; D002138:Calibration; D004032:Diet / Q000706:statistics & numerical data*; D015930:Diet Records; D005260:Female; D006801:Humans; D016014:Linear Models; D008297:Male; D012016:Reference Values; D015203:Reproducibility of Results; D011795:Surveys and Questionnaires