Evidence map›Paper›PMID 34241954›Full record

ArticleMaternal & child nutrition2021

Do non-maternal adult female household members influence child nutrition? Empirical evidence from Ethiopia.

Muhammed Abdella Usman, Lukas Kornher, Tekalign Gutu Sakketa

Abstract read
In one paragraph

Article in Maternal & child nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

3 authors.

Muhammed Abdella UsmanCenter for Development Research (ZEF), University of Bonn, Bonn, Germany.ORCID 0000-0001-5031-4794
Lukas KornherCenter for Development Research (ZEF), University of Bonn, Bonn, Germany.ORCID 0000-0002-2324-015X
Tekalign Gutu SakketaCenter for Development Research (ZEF), University of Bonn, Bonn, Germany.ORCID 0000-0002-3471-2976

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Child malnutrition is an enormous public health problem in low- and middle-income countries (LMICs). In this paper, we study the relationship between non-maternal adult female household members (AFHMs) and under-5 child nutritional outcomes using nationally representative Ethiopian Demographic and Health Survey data, 2016. Because most of the primary inputs that go into the production of child health are intensive in maternal time, having additional AFHMs may ease the time constraints of the child's mother. We use anthropometric measures such as height-for-age z-scores (HAZ) and weight-for-age z-scores (WAZ) to measure stunting and underweight, respectively, as objective indicators of child nutritional status. Among our sampled households, we find that 40% of the children are stunted, 18% severely stunted, 27% underweight and 8% severely underweight. Furthermore, about 20% of the sampled children live with at least one extra non-maternal AFHM. The multivariate regression results suggest that an additional AFHM is associated with significantly higher HAZ and WAZ scores and less likelihood of severe stunting compared with children living with fewer AFHMs. Finally, the paper discusses the potential pathways through which non-maternal AFHMs can influence child nutritional status.

Indexed as

Child Nutrition DisordersNutritional StatusAdultChildChild Nutritional Physiological PhenomenaEthiopiaFemaleHumansPrevalenceanthropometricchild nutritionEthiopianon-maternal adult femalestuntingunderweight

Identifiers

PMID34241954
PMCPMC8269146

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.