Dietary patterns in pregnant women: a comparison of food-frequency questionnaires and 4 d prospective diaries

Br J Nutr. 2008 Apr;99(4):869-75. doi: 10.1017/S0007114507831746. Epub 2007 Nov 16.

Abstract

There is growing interest in the use of dietary patterns as measures of exposure in studies of diet-disease relationships. However, relatively little is known about the impact of the type of dietary assessment method on the patterns observed. Using FFQ and food diary data collected from 585 women in early pregnancy we used principal component analysis to define dietary patterns. The first pattern was very similar in both datasets and was termed the 'prudent' diet. The second pattern, whilst comparable for the FFQ and food diaries, showed greater variation in coefficients than the prudent pattern; it was termed the 'Western' diet. Differences between the FFQ and diary scores were calculated for each woman for both the prudent and Western diet patterns. Of the differences in the prudent diet score, 95 % lay within +/- 1.58 sd of the mean, and 95 % of the differences in the Western diet scores lay within +/- 2.22 sd of the mean. Pearson's correlation coefficients were 0.67 (P < 0.001) for the prudent diet score and 0.35 (P < 0.001) for the Western diet score. The agreement between the FFQ and diary scores was lowest amongst respondents who were younger, had lower educational attainment and whose diaries were coded as 'poor, probably incomplete', although these effects were small. The first two dietary patterns identified in this cohort of pregnant women appear to be defined similarly by both FFQ and diary data, suggesting that FFQ data provide useful information on dietary patterns.

Publication types

  • Comparative Study
  • Evaluation Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Diet Records*
  • Diet Surveys
  • Diet*
  • Eating*
  • Feeding Behavior
  • Female
  • Humans
  • Pregnancy
  • Pregnant Women / psychology*
  • Principal Component Analysis
  • Self Disclosure
  • Sensitivity and Specificity
  • Surveys and Questionnaires