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Identification and reproducibility of dietary patterns assessed with a food frequency questionnaire among women planning pregnancy

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.

Publication metadata

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


DOI: 10.1017/S1368980021001178


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