Evidence map›Paper›PMID 32778881›Full record

SynthesisThe American journal of clinical nutrition2020

Drivers of stunting reduction in Senegal: a country case study.

Samanpreet Brar, Nadia Akseer, Mohamadou Sall, Kaitlin Conway, Ibrahima Diouf, Karl Everett, Muhammad Islam, Papa Ibrahima Sylmang Sène, Hana Tasic, Jannah Wigle and 1 more

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in The American journal of clinical nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

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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

11 authors at 5 institutions in 3 countries.

Samanpreet BrarCentre for Global Child Health, Hospital for Sick Children, Toronto, Canada.
Nadia AkseerCentre for Global Child Health, Hospital for Sick Children, Toronto, Canada.
Mohamadou SallUniversité Cheikh Anta Diop, Dakar, Senegal.
Kaitlin ConwayCentre for Global Child Health, Hospital for Sick Children, Toronto, Canada.
Ibrahima DioufAgence Nationale de la Statistique et de la Démographie, Dakar, Senegal.
Karl EverettCentre for Global Child Health, Hospital for Sick Children, Toronto, Canada.
Muhammad IslamCentre for Global Child Health, Hospital for Sick Children, Toronto, Canada.
Papa Ibrahima Sylmang SèneAgence Nationale de la Statistique et de la Démographie, Dakar, Senegal.
Hana TasicCentre for Global Child Health, Hospital for Sick Children, Toronto, Canada.
Jannah WigleCentre for Global Child Health, Hospital for Sick Children, Toronto, Canada.
Zulfiqar BhuttaCentre for Global Child Health, Hospital for Sick Children, Toronto, Canada.
Hospital for Sick Children · CAAgence Nationale de l'Aviation Civile et de la Météorologie · SNUniversity of Toronto · CAAga Khan University · PKCheikh Anta Diop University · SN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSenegal has been an exemplar country in the West African region, reducing child stunting prevalence by 17.9% from 1992 to 2017.

objectivesIn this study, we aimed to conduct a systematic in-depth assessment of factors at the national, community, household, and individual levels to determine the key enablers of Senegal's success in reducing stunting in children <5 y old between 1992/93 and 2017.

methodsA mixed methods approach was implemented, comprising quantitative data analysis, a systematic literature review, creation of a timeline of nutrition-related programs, and qualitative interviews with national and regional stakeholders and mothers in communities. Demographic and Health Surveys and Multiple Indicator Cluster Surveys were used to explore stunting inequalities and factors related to the change in height-for-age z-score (HAZ) using difference-in-difference linear regression and the Oaxaca-Blinder decomposition method.

resultsPopulation-wide gains in average child HAZ and stunting prevalence have occurred from 1992/93 to 2017. Stunting prevalence reduction varied by geographical region and prevalence gaps were reduced slightly between wealth quintiles, maternal education groups, and urban compared with rural residence. Statistical determinants of change included improvements in maternal and newborn health (27.8%), economic improvement (19.5%), increases in parental education (14.9%), and better piped water access (8.1%). Key effective nutrition programs used a community-based approach, including the Community Nutrition Program and the Nutrition Enhancement Program. Stakeholders felt sustained political will and multisectoral collaboration along with improvements in poverty, women's education, hygiene practices, and accessibility to health services at the community level reduced the burden of stunting.

conclusionsSenegal's success in the stunting decline is largely attributed to the country's political stability, the government's prioritization of nutrition and execution of nutrition efforts using a multisectoral approach, improvements in the availability of health services and maternal education, access to piped water and sanitation facilities, and poverty reduction. Further efforts in the health, water and sanitation, and agriculture sectors will support continued success.

Indexed as

Child, PreschoolFemaleGrowth DisordersHumansHygieneInfantInfant, NewbornMaleNutritional StatusPovertyRural PopulationSanitationSenegalchildrenexemplarlinear growthmixed methodsnutritionSenegalstuntingWest Africa

Identifiers

PMID32778881
PMCPMC7487429
OpenAlexW4240975064

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.