The application of different correlation coefficients to assess the reproducibility of a food frequency questionnaire

E. Negri, S. Franceschi, C. La Vecchia, R. Filiberti, S. Guarneri, O. Nanni, A. Decarli

Research output: Contribution to journalArticle

Abstract

We computed four different correlation coefficients to investigate the degree of reproducibility of the weekly consumption of 77 food items or groups of foods and of seven summary questions from a food frequency questionnaire developed in Italy for a case-control study on cancers of the breast and digestive tract. The questionnaire had been administered twice to 452 Italian men and women. These included Pearson correlation coefficients (a) using the weekly frequencies of consumption without any transformation (P1); (b) after applying the transformation log (x + 1) (P2); (c) after applying the transformation log (x + 0.01) (P3); and (d) the Spearman correlation coefficient (SP). The mean values were 0.55 for P1, 0.59 for P2, 0.56 for P3 and 0.59 for SP. All coefficients were positively correlated, although to variable extents: the Spearman correlation coefficient between P2 and SP was 0.92, and that between P1 and P3 was 0.53. Differences between the four coefficients were more marked for food items with a lower kappa statistic and lower intraclass correlation, ie for those items with more severe reproducibility problems. Thus, a single correlation coefficient may not be enough to detect zones of the distribution of a food item where misclassification problems are more severe. The correlation coefficients used to investigate reproducibility should therefore be chosen on the basis of subsequent data analyses.

Original languageEnglish
Pages (from-to)489-497
Number of pages9
JournalEuropean Journal of Cancer Prevention
Volume3
Issue number6
Publication statusPublished - 1994

Keywords

  • Diet
  • Epidemiological methods
  • Food frequency questionnaires
  • Measurement errors
  • Nutritional assessment
  • Questionnaires

ASJC Scopus subject areas

  • Cancer Research
  • Epidemiology
  • Oncology
  • Public Health, Environmental and Occupational Health

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