Literature DB >> 32818165

Prediction of Vitamin A Stores in Young Children Provides Insights into the Adequacy of Current Dietary Reference Intakes.

Jennifer Lynn Ford1, Veronica Lopez-Teros2.   

Abstract

BACKGROUND: Limited data were available in infants and children when vitamin A (VA) DRIs were established; recommendations were developed based on average breast milk VA intake and extrapolation of data from adults.
OBJECTIVES: Our objective was to evaluate whether DRIs and reported intakes, with and without VA from intervention programs, would be sufficient to develop adequate VA stores from birth to age 5 y in Bangladeshi, Filipino, Guatemalan, and Mexican children.
METHODS: A mathematical relationship was established, defined by a series of equations, to predict VA total body stores (TBS) as a function of age based on VA intake and utilization. TBS calculated using reported VA intakes, with and without additional VA from intervention programs, were compared to those predicted using DRIs (specifically, Adequate Intake and RDA). Liver VA concentrations were also estimated.
RESULTS: Our predictions showed that for these 4 groups, DRIs were sufficient to attain liver VA concentrations >0.07 μmol/g by 1 wk of age and sustain positive VA balance for 5 y. Using reported intakes, which were lowest in Bangladeshis from 1 y on and highest in Guatemalans, predicted VA stores in Bangladeshi and Filipino children increased until ∼2-3 y, then TBS stabilized and liver VA concentrations decreased with age. When VA interventions were included, stores exceeded those predicted using DRIs by 12-18 mo. In contrast, reported intakes alone in Guatemalan and Mexican children resulted in VA stores that surpassed those calculated using DRIs. For all populations, reported intakes were sufficient to build liver concentrations >0.07 μmol/g by 3 mo.
CONCLUSIONS: Although more information is needed to better define dietary VA requirements in children, our results suggest that for an average, generally healthy child in a low- or middle-income country, current DRIs are sufficient to maintain positive VA balance during the first 5 y of life.
Copyright © The Author(s) on behalf of the American Society for Nutrition 2020.

Entities:  

Keywords:  dietary recommendations; mathematical modeling; nutritional assessment; vitamin A intake; vitamin A interventions; vitamin A kinetics; vitamin A requirements; vitamin A status

Year:  2020        PMID: 32818165      PMCID: PMC7419538          DOI: 10.1093/cdn/nzaa119

Source DB:  PubMed          Journal:  Curr Dev Nutr        ISSN: 2475-2991


  58 in total

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2.  Maternal vitamin A or beta-carotene supplementation in lactating bangladeshi women benefits mothers and infants but does not prevent subclinical deficiency.

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3.  Vitamin A turnover in rats as influenced by vitamin A status.

Authors:  K C Lewis; M H Green; B A Underwood
Journal:  J Nutr       Date:  1981-07       Impact factor: 4.798

4.  Serum levels of vitamin A and carotenoids as reflectors of nutritional status.

Authors:  J A Olson
Journal:  J Natl Cancer Inst       Date:  1984-12       Impact factor: 13.506

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Authors:  Aamer Imdad; Evan Mayo-Wilson; Kurt Herzer; Zulfiqar A Bhutta
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Review 6.  Nutrition of children and women in Bangladesh: trends and directions for the future.

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7.  Fortification of staple foods with vitamin A for vitamin A deficiency.

Authors:  Aditi S Hombali; Juan Antonio Solon; Bhumika T Venkatesh; N Sreekumaran Nair; Juan Pablo Peña-Rosas
Journal:  Cochrane Database Syst Rev       Date:  2019-05-10

Review 8.  Micronutrient Intake in Healthy Toddlers: A Multinational Perspective.

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9.  Nutrient Intakes and Food Sources of Filipino Infants, Toddlers and Young Children are Inadequate: Findings from the National Nutrition Survey 2013.

Authors:  Liya Denney; Imelda Angeles-Agdeppa; Mario V Capanzana; Marvin B Toledo; Juliana Donohue; Alicia Carriquiry
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10.  A Population-Based (Super-Child) Approach for Predicting Vitamin A Total Body Stores and Retinol Kinetics in Children Is Validated by the Application of Model-Based Compartmental Analysis to Theoretical Data.

Authors:  Jennifer Lynn Ford; Joanne Balmer Green; Michael H Green
Journal:  Curr Dev Nutr       Date:  2018-11-24
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