Evidence map›Paper›PMID 38087371›Full record

ArticleBMC nutrition2023

Child stunting prevalence determination at sector level in Rwanda using small area estimation.

Innocent Ngaruye, Joseph Nzabanita, François Niragire, Theogene Rizinde, Joseph Nkurunziza, Jean Bosco Ndikubwimana, Charles Ruranga, Ignace Kabano, Dieudonne N Muhoza, Jeanine Ahishakiye

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In one paragraph

Article in BMC nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

10 authors.

Innocent NgaruyeDepartment of Mathematics, College of Science and Technology, University of Rwanda, Kigali, Rwanda. ingaruye@gmail.com.
Joseph NzabanitaDepartment of Mathematics, College of Science and Technology, University of Rwanda, Kigali, Rwanda.
François NiragireDepartment of Applied Statistics, College of Business and Economics, University of Rwanda, Kigali, Rwanda.
Theogene RizindeDepartment of Applied Statistics, College of Business and Economics, University of Rwanda, Kigali, Rwanda.
Joseph NkurunzizaDepartment of Applied Statistics, College of Business and Economics, University of Rwanda, Kigali, Rwanda.
Jean Bosco NdikubwimanaDepartment of Applied Statistics, College of Business and Economics, University of Rwanda, Kigali, Rwanda.
Charles RurangaDepartment of Applied Statistics, College of Business and Economics, University of Rwanda, Kigali, Rwanda.
Ignace KabanoDepartment of Applied Statistics, College of Business and Economics, University of Rwanda, Kigali, Rwanda.
Dieudonne N MuhozaDepartment of Applied Statistics, College of Business and Economics, University of Rwanda, Kigali, Rwanda.
Jeanine AhishakiyeDepartment of Human Nutrition and Dietetics, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStunting among children under 5 years of age remains a worldwide concern, with 148.1 million (22.3%) stunted in 2022. The recent 2019/2020 Rwanda Demographic Health Survey (RDHS) revealed that the prevalence of stunting in Rwanda among under five children was 33.5%. In Rwanda, there is no sufficient evidence on stunting status to guide prioritized interventions at the sector level, the lowest administrative unit for implementing development initiatives. This study aimed to provide reliable estimates of stunting prevalence in Rwanda at the sector level.

methodsIn this article, Small Area Estimation (SAE) techniques were used to provide sector level estimates of stunting prevalence in children under five in Rwanda. By plugging in relevant significant covariates in the generalized linear mixed model, model-based estimates are produced for all sectors with their corresponding Mean Square Error (MSE).

resultsThe findings showed that, overall, 40 out of 416 sectors had met the national target of having a stunting rate less than or equal to 19%, while 194 sectors were far from meeting this target, having a stunting rate higher than the national prevalence of 33.5% in the year 2020. The majority of the sectors with stunting prevalence that were higher than the national average of 33.5% were found in the Northern Province with 68 sectors out of 89 and in Western Province with 64 sectors out of 96. In contrast, the prevalence of stunting was lower in the City of Kigali where 14 out of 35 sectors had a stunting rate between 0 and 19%, and all sectors were below the national average. This study showed a substantial connection between stunting and factors such as household size, place of residence, the gender of the household head, and access to improved toilet facilities and clean water.

conclusionThe results of this study may guide and support informed policy decisions and promote localised and targeted interventions in Rwanda's most severely affected sectors with a high stunting prevalence in Rwanda.

Indexed as

Generalized linear mixed modelSmall area estimationStuntingUndernutrition

Identifiers

PMID38087371
PMCPMC10714628

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