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The effect of personal characteristics on the validity of nutrient intake estimates using a food-frequency questionnaire

Published online by Cambridge University Press:  02 January 2007

Geoffrey C Marks*
Affiliation:
School of Population Health, University of Queensland, Herston, Queensland 4006, Australia
Maria Celia Hughes
Affiliation:
Queensland Institute of Medical Research, Herston, Queensland 4029, Australia
Jolieke C van der Pols
Affiliation:
School of Population Health, University of Queensland, Herston, Queensland 4006, Australia Queensland Institute of Medical Research, Herston, Queensland 4029, Australia
*
*Corresponding author: Email [email protected]
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Abstract

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Objective

To assess validity of the Nambour food-frequency questionnaire (FFQ) relative to weighed food records (WFRs), and the extent to which selected demographic, anthropometric and social characteristics explain differences between the two dietary methods.

Design

Inter-method validity study; 129-item FFQ vs. 12 days of WFR over 12 months.

Setting

Community-based Nambour Skin Cancer Prevention Trial.

Subjects

One hundred and fifteen of 168 randomly selected participants in the trial (68% acceptance rate) aged 25–75 years.

Results

Spearman correlations between intakes from the two methods ranged from 0.18 to 0.71 for energy-adjusted values. Differences between FFQ and WFR regressed on personal characteristics were significantly associated with at least one characteristic for 16 of the 21 nutrients. Sex was significantly associated with differences for nine nutrients; body mass index (BMI), presence of any medical condition and age were each significantly associated with differences for three to six nutrients; use of dietary supplements and occupation were associated with differences for one nutrient each. There was no consistency in the direction of the significant associations. Regression models explained from 7% (riboflavin) to 27% (saturated fat) of variation in differences in intakes.

Conclusions

The relative validity of FFQ estimates for many nutrients is quite different for males than for females. Age, BMI, medical condition and level of intake were also associated with relative validity for some nutrients, resulting in the need to adjust intakes estimates for these in modelling diet-disease relationships. Estimates for cholesterol, β-carotene equivalents, retinol equivalents, thiamine, riboflavin and calcium would not benefit from this.

Type
Research Article
Copyright
Copyright © The Authors 2006

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