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2
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Section for International Maternal and Child Health, Department of Womens and Childrens Health, Uppsala University, Uppsala, Sweden;
Epidemiology, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden;
**
Nutrition Academy, Ministry of Health, Yogyakarta, Indonesia and
Community Health and Nutrition Research Laboratory, Faculty of Medicine, University of Gadjah Mada, Yogyakarta, Indonesia
2To whom correspondence should be addressed at Section for International Maternal and Child Health, Entrance 11, Uppsala University, 751 85 Uppsala, Sweden. E-mail: viveka.persson{at}kbh.uu.se
Few studies have assessed the reliability of dietary intake methods
during pregnancy. Between 1996 and 1998, a longitudinal study of
dietary intake during pregnancy was carried out among 451 women in
Central Java, Indonesia. Six 24-h recalls were performed each
trimester. We report here on intraindividual and interindividual
variability in energy and nutrient intakes, as well as the reliability
of the 24-h diet recall method. Implications of the use of different
numbers of replicate days for estimating dietary intake and the
relationships between dietary intake and health outcomes are also
discussed. Intravariance-to-intervariance ratios were <1 for energy
and carbohydrates and >1 for all other nutrients throughout pregnancy.
Reliability analyses found good agreement (reliability coefficient
>0.7) with three replicates for the macronutrients, but at least six
replicates were needed for an agreement of
0.6 for the
micronutrients. To estimate true individual average intake with a
precision of ±20%, six replicate recalls were sufficient for energy,
carbohydrates, vitamin A, iron and vitamin C. In conclusion, mean
intake of several nutrients can be reliably measured with the 24-h
recall method, using a limited number of days. The nutrient of
interest, the primary objectives and method of analyses should all be
taken into account when planning sample size and number of replicates.
KEY WORDS: diet recall pregnancy reliability variance Indonesia humans
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