Evidence map›Paper›PMID 26669828›Full record

ArticlePublic health nutrition2016

Birth registration and child undernutrition in sub-Saharan Africa.

Ornella Comandini, Stefano Cabras, Elisabetta Marini

Abstract read
In one paragraph

Article in Public health nutrition, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

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12citing 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

12 citing papers in PubMed, 1 synthesis or guideline 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

3 authors.

Ornella Comandini1Department of Life and Environmental Sciences,University of Cagliari,Cittadella Universitaria,09042 Monserrato,Cagliari,Italy.
Stefano Cabras2Department of Mathematics and Informatics,University of Cagliari,Cagliari,Italy.
Elisabetta Marini1Department of Life and Environmental Sciences,University of Cagliari,Cittadella Universitaria,09042 Monserrato,Cagliari,Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIn many countries of the world millions of people are not registered at birth. However, in order to assess children's nutritional status it is necessary to have an exact knowledge of their age. In the present paper we discuss the effects of insufficient or imprecise age data on estimates of undernutrition prevalence.

designBirth registration rates and levels of stunting, underweight and wasting were retrieved from Multiple Indicator Cluster Surveys and Demographic and Health Surveys of thirty-seven sub-Saharan African countries, considering the subdivision in wealth quintiles. The composition of the cross-sectional sample used for nutritional evaluation was analysed using a permutation test. Logistic regression was applied to analyse the relationship between birth registration and undernutrition. The 95 % probability intervals and Student's t test were used to evaluate the effect of age bias and error.

resultsHeterogeneous sampling designs were detected among countries, with different percentages of children selected for anthropometry. Further, registered children were slightly more represented within samples used for nutritional analysis than in the total sample. A negative relationship between birth registration and undernutrition was recognized, with registered children showing a better nutritional status than unregistered ones, even within each wealth quintile. The over- or underestimation of undernutrition in the case of systematic over- or underestimation of age, respectively, the latter being more probable, was quantified up to 28 %. Age imprecision was shown to slightly overestimate undernutrition.

conclusionsSelection bias towards registered children and underestimation of children's age can lead to an underestimation of the prevalence of undernutrition.

Indexed as

Africa South of the SaharaAnthropometryBirth CertificatesBody WeightChild Nutrition DisordersChild, PreschoolCross-Sectional StudiesGrowth DisordersHumansMalnutritionNutritional StatusPrevalenceRegistriesSelection BiasThinnessWasting SyndromeDemographic and Health SurveysMultiple Indicator Cluster SurveysStuntingUnderweightWasting

Identifiers

PMID26669828
PMCPMC10271021

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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.