Reference : Validation of the Food Frequency Questionnaire Used to Assess the Association between...
Scientific journals : Article
Human health sciences : Public health, health care sciences & services
http://hdl.handle.net/2268/165857
Validation of the Food Frequency Questionnaire Used to Assess the Association between Dietary Habits and Cardiovascular Risk Factors in the NESCAV Study
English
Sauvageot, Nicolas mailto [Université de Liège - ULiège > > > Form. doct. sc. santé publique]
Guillaume, Michèle mailto [Université de Liège - ULiège > Département des sciences de la santé publique > Epidémiologie nutritionnelle >]
Albert, Adelin mailto [Université de Liège - ULiège > Département des sciences de la santé publique > Département des sciences de la santé publique >]
alkerwi, alaa [crp-santé > > > >]
30-Apr-2013
Journal of Food Science
Blackwell Publishing
3
3
Yes (verified by ORBi)
International
0022-1147
1750-3841
[en] Abstract
Background:
In epidemiological studies, the validation of dietary assessment instruments is important to avoid
biased associations with outcome measures.
Objective:
Our objective was to assess the validity of the 134-item food frequency questionnaire (FFQ) used in
the Nutrition Environment and Cardiovascular Health (NESCAV) study.
Methods:
The FFQ was validated against a 3-day dietary record (DR) on a sample of 29 women. The intra-
class correlation coefficient (ICC) and Bland and Altman plots were used to assess absolute agreement, whereas
relative agreement was appraised by Spearman’s correlation coefficient and Cohen kappa coefficient based on
cross classification of 3-category nutrient intake.
Results:
The two methods differed significantly for the majority of micronutrients with FFQ yielding higher intakes
than the DR. The bias between the two methods was nonetheless acceptable with an average overestimation
by the FFQ of 11% for macronutrients and 29% for micronutrients. Regarding precision, results differed by 48%
for micronutrients and 50% for macronutrients. Correlations on energy-adjusted data by the two methods were
satisfactory with an average correlation of 0.47 and 16/25 coefficients above 0.40. Only vitamin A and cholesterol
showed poor correlations of 0.02 and 0.05, respectively. On average, the correct classification rate in 3 categories
was 50.3% and 19/25 kappa coefficients were above 0.20. Poor agreement was found for protein, cholesterol,
starch, vitamins A, B12 and E with weighted kappa coefficient less than 0.20.
Conclusion:
Although absolute values of dietary intakes were not always accurate, the relationship and
agreement between FFQ and DR may be considered as satisfactory. In particular, the FFQ was able to categorize
subjects into 3 broad categories of intakes for most nutrients. Results for proteins, cholesterol, starch, vitamins A, E
and B12 however ought to be interpreted with caution
nescav
http://hdl.handle.net/2268/165857

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