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Eur J Nutr. 2012 Dec;51(8):997-1010. doi: 10.1007/s00394-011-0279-z. Epub 2011 Dec 6.

Bias in protein and potassium intake collected with 24-h recalls (EPIC-Soft) is rather comparable across European populations.

Author information

1
Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands. sandracrispim@gmail.com

Erratum in

  • Eur J Nutr. 2013 Mar;52(2):857-8. De Keizer, Willem [corrected to De Keyzer, Willem].

Abstract

PURPOSE:

We investigated whether group-level bias of a 24-h recall estimate of protein and potassium intake, as compared to biomarkers, varied across European centers and whether this was influenced by characteristics of individuals or centers.

METHODS:

The combined data from EFCOVAL and EPIC studies included 14 centers from 9 countries (n = 1,841). Dietary data were collected using a computerized 24-h recall (EPIC-Soft). Nitrogen and potassium in 24-h urine collections were used as reference method. Multilevel linear regression analysis was performed, including individual-level (e.g., BMI) and center-level (e.g., food pattern index) variables.

RESULTS:

For protein intake, no between-center variation in bias was observed in men while it was 5.7% in women. For potassium intake, the between-center variation in bias was 8.9% in men and null in women. BMI was an important factor influencing the biases across centers (p < 0.01 in all analyses). In addition, mode of administration (p = 0.06 in women) and day of the week (p = 0.03 in men and p = 0.06 in women) may have influenced the bias in protein intake across centers. After inclusion of these individual variables, between-center variation in bias in protein intake disappeared for women, whereas for potassium, it increased slightly in men (to 9.5%). Center-level variables did not influence the results.

CONCLUSION:

The results suggest that group-level bias in protein and potassium (for women) collected with 24-h recalls does not vary across centers and to a certain extent varies for potassium in men. BMI and study design aspects, rather than center-level characteristics, affected the biases across centers.

PMID:
22143464
PMCID:
PMC3496541
DOI:
10.1007/s00394-011-0279-z
[Indexed for MEDLINE]
Free PMC Article

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