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4 results

  • Identification and reproducibility of dietary patterns assessed with a FFQ among women planning pregnancy

  • Shan Xuan Lim, Marjorelee T Colega, M Na’im M Ayob, Sian M Robinson, Keith M Godfrey, Jonathan Y Bernard, Yung Seng Lee, Kok Hian Tan, Fabian Yap, Lynette PC Shek, Yap Seng Chong, Johan G Eriksson, Jerry KY Chan, Shiao Yng Chan, Mary FF Chong
  • Journal:
    Public Health Nutrition / Volume 24 / Issue 9 / June 2021
    Published online by Cambridge University Press:
    22 March 2021, pp. 2437-2446
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  • 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 FFQ was administered to women enrolled in the Singapore PREconception Study of long-Term maternal and child Outcomes study. Dietary patterns from the FFQ were identified using exploratory factor analysis (EFA). In a subsample of women (n 289), 3-d food diaries (3DFD) were also completed and analysed. Reproducibility of the identified patterns was assessed using confirmatory factor analysis (CFA) in the subsample, and goodness of fit of the CFA models was 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 (18–45 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.

  • Association of sugar-sweetened beverage intake at 18 months and 5 years of age with adiposity outcomes at 6 years of age: the Singapore GUSTO mother–offspring cohort

  • Phaik Ling Quah, Josefien Kleijweg, Ya Yin Chang, Jia Ying Toh, Hui Xian Lim, Ray Sugianto, Izzuddin M. Aris, Wen Lun Yuan, Mya Thway Tint, Jonathan Y. Bernard, Padmapriya Natarajan, Falk Müller-Riemenschneider, Keith M. Godfrey, Peter D. Gluckman, Yap-Seng Chong, Lynette P. Shek, Kok Hian Tan, Johan G. Eriksson, Fabian Yap, Yung Seng Lee, Mary F. F. Chong
  • Journal:
    British Journal of Nutrition / Volume 122 / Issue 11 / 14 December 2019
    Published online by Cambridge University Press:
    03 September 2019, pp. 1303-1312
    Print publication:
    14 December 2019
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  • Consumption of sugar-sweetened beverages (SSB) by infants and young children are less explored in Asian populations. The Growing Up in Singapore Towards healthy Outcomes cohort study examined associations between SSB intake at 18 months and 5 years of age, with adiposity measures at 6 years of age. We studied Singaporean infants/children with SSB intake assessed by FFQ at 18 months of age (n 555) and 5 years of age (n 767). The median for SSB intakes is 28 (interquartile range 5·5–98) ml at 18 months of age and 111 (interquartile range 57–198) ml at 5 years of age. Association between SSB intake (100 ml/d increments and tertile categories) and adiposity measures (BMI standard deviation scores (sd units), sum of skinfolds (SSF)) and overweight/obesity status were examined using multivariable linear and Poisson regression models, respectively. After adjusting for confounders and additionally for energy intake, SSB intake at age 18 months were not significantly associated with later adiposity measures and overweight/obesity outcomes. In contrast, at age 5 years, SSB intake when modelled as 100 ml/d increments were associated with higher BMI by 0·09 (95 % CI 0·02, 0·16) sd units, higher SSF thickness by 0·68 (95 % CI 0·06, 1·44) mm and increased risk of overweight/obesity by 1·2 (95 % CI 1·07, 1·23) times at age 6 years. Trends were consistent with SSB intake modelled as categorical tertiles. In summary, SSB intake in young childhood is associated with higher risks of adiposity and overweight/obesity. Public health policies working to reduce SSB consumption need to focus on prevention programmes targeted at young children.