Displaying all 4 publications

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  1. Chen PC, Noordin RA, Ngor LY
    Med J Malaysia, 1979 Dec;34(2):100-7.
    PMID: 548710
    Matched MeSH terms: Infant Nutrition Disorders/etiology*
  2. Krishnan M, Snelling MR
    Br Heart J, 1971 Sep;33(5):699-701.
    PMID: 5115012 DOI: 10.1136/hrt.33.5.699
    Matched MeSH terms: Infant Nutrition Disorders/etiology
  3. Khor GL, Lee SS
    Nutrients, 2021 Jul 09;13(7).
    PMID: 34371864 DOI: 10.3390/nu13072354
    This study determined the intakes of complementary foods (CFs) and milk-based formulas (MFs) by a total of 119 subjects aged 6-23.9 months from urban day care centers. Dietary intakes were assessed using two-day weighed food records. Intake adequacy of energy and nutrients was compared to the Recommended Nutrient Intakes (RNI) for Malaysia. The most commonly consumed CFs were cereals (rice, noodles, bread). The subjects derived approximately half of their energy requirements (kcals) from CFs (57 ± 35%) and MFs (56 ± 31%). Protein intake was in excess of their RNI requirements, from both CFs (145 ± 72%) and MFs (133 ± 88%). Main sources of protein included meat, dairy products, and western fast food. Intake of CFs provided less than the RNI requirements for vitamin A, thiamine, riboflavin, folate, vitamin C, calcium, iron, and zinc. Neither CF nor MF intake met the Adequate Intake (AI) requirements for essential fatty acids. These findings indicate imbalances in the dietary intake of the subjects that may have adverse health implications, including increased risk of rapid weight gain from excess protein intake, and linear growth faltering and intellectual impairment from multiple micronutrient deficiencies. Interventions are needed to improve child feeding knowledge and practices among parents and child care providers.
    Matched MeSH terms: Infant Nutrition Disorders/etiology
  4. Sreeramareddy CT, Ramakrishnareddy N, Subramaniam M
    Public Health Nutr, 2015 Nov;18(16):2906-14.
    PMID: 25435296 DOI: 10.1017/S1368980014002729
    OBJECTIVE: To examine the association between household food insecurity score and Z-scores of childhood nutritional status indicators.

    DESIGN: Population-based, cross-sectional survey, Nepal Demographic and Health Survey 2011.

    SETTING: A nationally representative sample of 11 085 households selected by a two-stage, stratified cluster sampling design to interview eligible men and women.

    SUBJECTS: Children (n 2591) aged 0-60 months in a sub-sample of households selected for men's interview.

    RESULTS: Prevalence of moderate and severe household food insecurity was 23·2% and 19·0%, respectively, for children aged 0-60 months. Weighted prevalence rates for stunting (height-for-age Z-score (HAZ)

    Matched MeSH terms: Infant Nutrition Disorders/etiology
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