Literature DB >> 22131551

Identifying nutritional need for multiple micronutrient interventions.

Lynnette M Neufeld1, Blair M Cameron.   

Abstract

Micronutrient deficiency remains a major public health problem in many countries worldwide with important consequences for the health of the population and child growth and development. The objective of this article is to review information that should be taken into consideration in identifying the need for and in designing micronutrient programs. We review information that could be used to identify nutritional need, including the prevalence of deficiency and evidence of inadequate dietary intake as well as potential data sources and some strengths and weakness of such data for program decision-making. We also review factors that might modify the potential impact of programs and that should therefore be taken into consideration in their design. For example, such factors may include access to formal and informal health systems, quality of health provider training, and behavior change communication and complementary or overlapping interventions. Nationally representative data on micronutrient deficiencies and dietary intake are most useful for identifying unmet needs. Although the burden of micronutrient deficiencies lies in low-income countries, few have detailed information on specific deficiencies beyond anemia, and nationally representative dietary intake data are scarce. Nationally representative data may still mask considerable within-country variability by geographic, economic, or ethnic group. Some efforts designed to promote coordination in nutrition programming within countries utilizing information on prevalence, intake, and program coverage and utilization are also reviewed. Improving the quality of such data and ensuring continual updates are vital to guide decision making and to ensure that programs can appropriately respond to needs.

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Year:  2011        PMID: 22131551     DOI: 10.3945/jn.111.138677

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  5 in total

1.  Functional Brain Activity Changes after 4 Weeks Supplementation with a Multi-Vitamin/Mineral Combination: A Randomized, Double-Blind, Placebo-Controlled Trial Exploring Functional Magnetic Resonance Imaging and Steady-State Visual Evoked Potentials during Working Memory.

Authors:  David J White; Katherine H M Cox; Matthew E Hughes; Andrew Pipingas; Riccarda Peters; Andrew B Scholey
Journal:  Front Aging Neurosci       Date:  2016-12-02       Impact factor: 5.750

Review 2.  The influence of micronutrients in cell culture: a reflection on viability and genomic stability.

Authors:  Ana Lúcia Vargas Arigony; Iuri Marques de Oliveira; Miriana Machado; Diana Lilian Bordin; Lothar Bergter; Daniel Prá; João Antonio Pêgas Henriques
Journal:  Biomed Res Int       Date:  2013-05-27       Impact factor: 3.411

3.  Effects of Four-Week Supplementation with a Multi-Vitamin/Mineral Preparation on Mood and Blood Biomarkers in Young Adults: A Randomised, Double-Blind, Placebo-Controlled Trial.

Authors:  David J White; Katherine H M Cox; Riccarda Peters; Andrew Pipingas; Andrew B Scholey
Journal:  Nutrients       Date:  2015-10-30       Impact factor: 5.717

4.  Experiences and lessons learned for planning and supply of micronutrient powders interventions.

Authors:  Claudia Schauer; Nigel Sunley; Carrie Hubbell Melgarejo; Christina Nyhus Dhillon; Claudia Roca; Gustavo Tapia; Pragya Mathema; Shelley Walton; Ruth Situma; Stanley Zlotkin; Rolf Dw Klemm
Journal:  Matern Child Nutr       Date:  2017-09       Impact factor: 3.092

5.  Modeling food fortification contributions to micronutrient requirements in Malawi using Household Consumption and Expenditure Surveys.

Authors:  Kevin Tang; Katherine P Adams; Elaine L Ferguson; Monica Woldt; Alexander A Kalimbira; Blessings Likoswe; Jennifer Yourkavitch; Benjamin Chrisinger; Sarah Pedersen; Lucia Segovia De La Revilla; Omar Dary; E Louise Ander; Edward J M Joy
Journal:  Ann N Y Acad Sci       Date:  2021-09-28       Impact factor: 6.499

  5 in total

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