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Lookup NU author(s): Professor Sian RobinsonORCiD
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© The Authors 2021.Objective: To identify a posteriori dietary patterns among women planning pregnancy and assess the reproducibility of these patterns in a subsample using two dietary assessment methods. Design: A semi-quantitative Food Frequency Questionnaire (FFQ) was administered to women enrolled in the S-PRESTO study. Dietary patterns from the FFQ were identified using exploratory factor analysis (EFA). In a subsample of women (n=289), 3-day food diaries (3DFD) were also completed and analyzed. Reproducibility of the identified patterns was assessed using confirmatory factor analysis (CFA) in the subsample and goodness of fit of the CFA models were examined using several fit indices. Subsequently, EFA was conducted in the subsample and dietary patterns of the FFQ and the 3DFD were compared. Setting: Singapore Participants: 1007 women planning pregnancy (18 to 45 years) Results: Three dietary patterns were identified from the FFQ: the 'Fish, poultry/meat and noodles' pattern was characterised by higher intakes of fish, poultry/meat and noodles in soup; 'Fast food and sweetened beverages' pattern was characterised by higher intakes of fast food, sweetened beverages and fried snacks; 'Bread, legumes and dairy' pattern was characterised by higher intakes of buns/ethnic breads, nuts/legumes and dairy products. The comparative fit indices from the CFA models were 0.79 and 0.34 for the FFQ and 3DFD of the subsample, respectively. In the subsample, three similar patterns were identified in the FFQ while only two for the 3DFD. Conclusions: Dietary patterns from the FFQ are reproducible within this cohort, providing a basis for future investigations on diet and health outcomes.
Author(s): Lim SX, Colega MT, Mayob MN, Robinson SM, Bernard JY, Lee YS, Tan KH, Yap F, Shek LPC, Chong YS, Chan JKY, Eriksson JG, Chan SY, Godfrey KM, Chong MFF
Publication type: Article
Publication status: Published
Journal: Public Health Nutrition
Year: 2021
Volume: 24
Issue: 9
Pages: 2437-2446
Online publication date: 22/03/2021
Acceptance date: 02/04/2018
ISSN (print): 1368-9800
ISSN (electronic): 1475-2727
Publisher: Cambridge University Press
URL: https://doi.org/10.1017/S1368980021001178
DOI: 10.1017/S1368980021001178
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