Agreement between a brief food frequency questionnaire and diet records using two statistical methods

Gina Ambrosini, Nicholas De Klerk, Arthur Musk, D. Mackerras

Research output: Contribution to journalArticlepeer-review

27 Citations (Scopus)


Objective: To compare intra- and inter-method reliability of a semi-quantitative food frequency questionnaire (FFQ) designed specifically to measure beta carotene (BC)X and retinol intake, using two methods - the limits of agreement (LOA) and the correlation coefficient.Design: A cross-sectional study of dietary intake.Setting: A randomized trial of vitamin A supplements in 2769 subjects with past asbestos exposure.Subjects: Data from 57 men and 26 women, aged 28-72 years, living in Western Australia.Methods: The FFQ was administered at baseline (FFQ1) and repeated 1 year later (FFQ2). Four 1-week diet records (DRs) were completed during the year. Results: Mean agreement between FFQ2 and FFQ1 was 120% for BC and 98% for retinol. LOA were 47-306% and 21-459%, respectively. Mean agreement between FFQ2 and the DR was 149% for BC and 63% for retinol; LOA were 50-447% and 11-349%, respectively. Mean agreement and LOA varied across energy intakes. Between the DR and FFQ2, correlation coefficients were 0.36 for BC and 0.51 for retinol. These varied considerably across age, gender and energy intakes and were not in accordance with limits of agreement findings.Conclusion: Although correlation coefficients were positive and significant, there was less than ideal intra-method and inter-method reliability shown by the limits of agreement method. Bias was uneven across the range of intakes, the LOA were wide and, compared with the DR, the FFQ significantly over-estimated BC and underestimated retinol. This shows the limitations of calculating correlation coefficients alone, for assessing reliability and validity.
Original languageEnglish
Pages (from-to)255-264
JournalPublic Health Nutrition
Issue number2
Publication statusPublished - 2001


Dive into the research topics of 'Agreement between a brief food frequency questionnaire and diet records using two statistical methods'. Together they form a unique fingerprint.

Cite this