Evidence map›Paper›PMID 32835454›Full record

ArticleMaternal & child nutrition2020

Reducing malnutrition in Cambodia. A modeling exercise to prioritize multisectoral interventions.

Arnaud Laillou, Ludovic Gauthier, Frank Wieringa, Jacques Berger, Samnang Chea, Etienne Poirot

Open access · goldAbstract read
In one paragraph

Article in Maternal & child nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 31% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Maternal Complications during Pregnancy and Risk Factors for Stunting.Iranian journal of nursing and midwifery research
    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

6 authors at 4 institutions in 4 countries.

Arnaud LaillouUnited Nations Children's Fund (UNICEF), Maternal, Newborn and Child Health and Nutrition section, Phnom Penh, Cambodia.ORCID 0000-0002-2315-223X
Ludovic GauthierIndependent consultant, Phnom Penh, Cambodia.
Frank WieringaInstitute of Research for Development (IRD), UMR Nutripass IRD-UM2-UM1, Montpellier, France.
Jacques BergerInstitute of Research for Development (IRD), UMR Nutripass IRD-UM2-UM1, Montpellier, France.
Samnang CheaCouncil of Agriculture and Development (CARD), Office of the Council of Ministers, Phnom Penh, Cambodia.
Etienne PoirotUnited Nations Children's Fund (UNICEF), Maternal, Newborn and Child Health and Nutrition section, Phnom Penh, Cambodia.
Institut de Recherche pour le Développement · FRUnited Nations Children's Fund · USCouncil of Ministers of Education · CADocumentation Center of Cambodia · KH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Undernutrition is a major contributor to child morbidity and mortality and poses a large burden to the economy, in Cambodia. This study explored factors contributing to child stunting and wasting and their regional inequalities among 1,938 Cambodian children aged 6-23.9 months. Data were drawn from a longitudinal study (year 2017) conducted in six districts of two north-eastern provinces and the capital and used as cross-sectional. Socio-demographic and household characteristics, children's feeding practices during the previous 24 hr, and children's length and weight measurements were collected. Gradient boosting models were used to calculate the contribution of determinants to child undernutrition whereas concentration index was used to assess the impact of those determinants on stunting and wasting inequalities among socioeconomic groups. It was found that low-household wealth could predict 21% to 45% of child stunting and 23% to 36% of wasting across regions. After wealth, source and treatment of drinking water were found the second major predictor for stunting (15%) and wasting (21%). Combining child nutrition and household water, sanitation and hygiene indicators predicted around 30% of child undernutrition, either in the form of stunting or wasting. Mothers' education predicted >30% of stunting in the north-eastern region. Results highlight that a complex interplay of factors contributes to child stunting and wasting. An integrated, intersectoral, equity-focused approach that addresses children's dietary quality, household's water, sanitation and hygiene conditions, mother's education, and poverty is likely to yield the highest impact in achieving further gains in nutritional status among Cambodian children.

Indexed as

Child Nutrition DisordersMalnutritionCambodiaChildCross-Sectional StudiesGrowth DisordersHumansInfantLongitudinal StudiesNutritional StatusPrevalenceSocioeconomic FactorsCambodiachildren under 5 years of ageintegrated approachmodelingstuntingwasting

Identifiers

PMID32835454
PMCPMC7591311
OpenAlexW3081313108

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.