Evidence map›Paper›PMID 36004336›Full record

ArticleJournal of nutritional science2022

Nutritional status of children under 5 years old in Namibia: adjusting for poor quality child anthropometry.

Maya S Fujimura, Joel Conkle, Marjorie Van Wyk, Masamine Jimba

Open access · goldAbstract read
In one paragraph

Article in Journal of nutritional science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 41% of its field
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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
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

4 authors at 3 institutions in 3 countries.

Maya S FujimuraDepartment of Community and Global Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo, Japan.ORCID 0000-0002-2713-8152
Joel ConkleUNICEF Namibia, Child Survival and Development, 38-44 Stein Street, Windhoek, Namibia.
Marjorie Van WykMinistry of Health and Social Services, Government of Namibia, Private Bag 13198, Windhoek, Namibia.
Masamine JimbaDepartment of Community and Global Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo, Japan.
Ministry of Health and Social Services · NAThe University of Tokyo · JPUniversity of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The poor assessment of child malnutrition impacts both national-level trends and prioritisation of regions and vulnerable groups based on malnutrition burden. Namibia has reported a high prevalence of malnutrition among children younger than 5 years of age. The present study's aim was to identify the optimal methods for estimating child stunting and wasting prevalence in Namibia using two datasets with suspected poor data quality: Namibia Demographic and Health Surveys (NDHS) (1992-2013) and Namibia Household Income and Expenditure Survey (NHIES), 2015/16. This comparative secondary data analysis used two prevalence estimation methods: WHO flags and PROBIT. WHO flags is the standard analysis method for most national household surveys, while the PROBIT method is recommended for poor quality anthropometry. In NHIES (

Indexed as

MalnutritionNutritional StatusAnthropometryChildChild, PreschoolGrowth DisordersHumansNamibiaChild anthropometryData qualityNamibiaPROBIT methodWHO flags

Identifiers

PMID36004336
PMCPMC9389280
OpenAlexW4291826058

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.