Evidence map›Paper›PMID 28509895›Full record

ArticleRevista espanola de salud publica2017

[Chronic Malnutrition among Children under Five in Peru: A Spatial Analysis of Nutritional Data, 2010-2016].

Akram Hernández-Vásquez, Elena Tapia-López

Abstract read
In one paragraph

Article in Revista espanola de salud publica, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Drivers of stunting reduction in Peru: a country case study.The American journal of clinical nutrition · 2020
    Pooled it
  2. Article
  3. A Review of Spatial Analysis Application in Childhood Malnutrition Studies.The Malaysian journal of medical sciences : MJMS · 2022
    Review
  4. Article
  5. Article
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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.

Akram Hernández-VásquezUniversidad Privada del Norte. Lima. Perú.
Elena Tapia-LópezUniversidad de Buenos Aires. Buenos Aires. Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePeru has implemented various strategies seeking to improve nutritional indicators in children under five years old. However, high prevalence of malnutrition in some regions still remains. The aim of this study was to assess changes in regional prevalence and to determine the presence of district conglomerates with a high prevalence of chronic childhood malnutrition (CCM) in 2010 and 2016.

methodsA comparative descriptive analysis by regions and a district-level spatial analysis were conducted employing indicators reported by the Nutritional Status Information System.

results23.9% (561.090/2.343.806) children under five years evaluated in Peru during 2010 and 18.0% (394.049/2.193.268) evaluated during 2016 were chronic malnutrition (reduction of 5.9 percentage points). We identified a decline of 7.6 percent points in rural areas and the persistence of prevalence above 30% in only one region (Huancavelica). The spatial analysis identified clusters of districts with high prevalence in 20% (379/1834) of Peruvian districts in 2010, and 17.2% (316/1834) of those in 2016, which are mainly spread across the sierra and jungle regions. .

conclusionsPeru has made significant progress in reducing stunting in children. Nevertheless, it still represents a health problem due to high prevalence in the sierra region, as well as expansion to jungle districts in 2016.

Indexed as

Nutritional StatusChildChild Nutrition SciencesChild, PreschoolFemaleGrowth DisordersHealth PromotionHumansInfantMaleMalnutritionPeruPrevalenceRural PopulationSpatial AnalysisChildInfant Nutrition DisordersMalnutritionPeruSpatial Analysis

Identifiers

PMID28509895
PMCPMC11587255

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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.