Evidence map›Paper›PMID 29032619›Full record

ReviewMaternal & child nutrition2017

First foods: Why improving young children's diets matter.

France Bégin, Víctor M Aguayo

Abstract readReview
In one paragraph

Review in Maternal & child nutrition, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

France BéginNutrition Section, Programme Division, United Nations Children's Fund (UNICEF), New York, New York, USA.ORCID 0000-0001-8545-1545
Víctor M AguayoNutrition Section, Programme Division, United Nations Children's Fund (UNICEF), New York, New York, USA.ORCID 0000-0003-1825-4108

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Globally, only 52% of children aged 6-23 months meet the minimum meal frequency and a mere 29% meet the minimum dietary diversity, with large disparities across and within regions. With most of the stunting occurring during the first thousand days-from conception to age 2 years-improving complementary feeding in children 6-23 months old is an urgent priority. With this evidence in mind, UNICEF collaborated with the governments of India and Maharashtra to convene a global meeting in Mumbai, India, under the theme: First Foods: A Global Meeting to Accelerate Progress on Complementary Feeding in Young Children (November 17-18, 2015). The global meeting provided a platform that aimed to (a) synthesize the biological and implementation science on complementary feeding; (b) review the practice and experience in improving access to nutritious complementary foods and good complementary feeding practices; and (c) consolidate a strong evidence base that can inform the development of strategies and approaches to improve complementary feeding that are fit to context. This overview paper summarizes the rationale on why improving complementary foods and feeding for infants and young children matters and what it takes to improve them. It builds on the papers presented at the First Foods Global Meeting and those commissioned as a follow on to it.

Indexed as

DietInfant Nutritional Physiological PhenomenaBreast FeedingCongresses as TopicFood QualityGrowth DisordersHumansIndiaInfantInfant FoodNutritional RequirementsNutritional StatusNutrition PolicyNutritive ValuePovertyUnited Nationschild foodschild growthchild nutritioncomplementary feedingstunting

Identifiers

PMID29032619
PMCPMC6866215

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.