Evidence map›Paper›PMID 40771498›Full record

ArticleBMJ nutrition, prevention & health2025

Prevalence and associated risk factors of stunting too early: analysis of the 2020 Rwanda demographic and health survey.

Raphael Ndahimana, Melissa Uwase, Roger Muragire, Alliance Uwase, Edith Uwamahoro, Bwiza Flavia, Elysee Niyonganyira, Ayinkamiye Esperance, Divine Umutesi Rusa, Marie Josée Mwiseneza and 9 more

Abstract read
In one paragraph

Article in BMJ nutrition, prevention & health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

19 authors.

Raphael NdahimanaDepartment of Epidemiology and Biostatistics, School of Public of Health, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.ORCID https://orcid.org/0009-0004-0066-1826
Melissa UwaseDepartment of Epidemiology and Biostatistics, School of Public of Health, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.ORCID https://orcid.org/0009-0008-4065-4670
Roger MuragireDepartment of Clinical Medicine and Community Health, University of Rwanda College of Medicine and Health Sciences, Kigali, Rwanda.ORCID https://orcid.org/0009-0007-8747-9729
Alliance UwaseDepartment of Epidemiology and Biostatistics, School of Public of Health, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.ORCID https://orcid.org/0009-0006-9942-7961
Edith UwamahoroDepartment of Epidemiology and Biostatistics, School of Public of Health, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.ORCID https://orcid.org/0009-0002-3502-1234
Bwiza FlaviaDepartment of Epidemiology and Biostatistics, School of Public of Health, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.ORCID https://orcid.org/0009-0004-6164-2039
Elysee NiyonganyiraDepartment of Public Health, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.ORCID https://orcid.org/0009-0000-2185-6770
Ayinkamiye EsperanceDepartment of Epidemiology and Biostatistics, School of Public of Health, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.ORCID https://orcid.org/0009-0002-5660-1545
Divine Umutesi RusaDepartment of Epidemiology and Biostatistics, School of Public of Health, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.ORCID https://orcid.org/0009-0008-1241-1612
Marie Josée MwisenezaDepartment of Epidemiology and Biostatistics, School of Public of Health, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.ORCID https://orcid.org/0000-0002-3891-2801
Absolomon GashaijaCenter for Impact, Innovation and Capacity Building in Health Information Systems and Nutrition (CIIC-HIN), Kigali, Rwanda.ORCID https://orcid.org/0009-0005-8081-6687
Godfrey NgabonzizaDepartment of Epidemiology and Biostatistics, School of Public of Health, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.ORCID https://orcid.org/0009-0001-4950-1047
Japhet IshimweDepartment of Epidemiology and Biostatistics, School of Public of Health, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.ORCID https://orcid.org/0009-0009-5213-3925
Binayisa GadDepartment of Epidemiology and Biostatistics, School of Public of Health, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.ORCID https://orcid.org/0009-0003-2207-4086
Claude KalisaDepartment of Epidemiology and Biostatistics, School of Public of Health, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.ORCID https://orcid.org/0009-0000-8679-4777
Joseph ImanishimweDepartment of Epidemiology and Biostatistics, School of Public of Health, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.ORCID https://orcid.org/0009-0007-8245-4012
Muhire JeanDepartment of Epidemiology and Biostatistics, School of Public of Health, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.ORCID https://orcid.org/0009-0007-2739-8011
Jeanine CondoCenter for Impact, Innovation and Capacity Building in Health Information Systems and Nutrition (CIIC-HIN), Kigali, Rwanda.ORCID https://orcid.org/0000-0002-8177-6286
Michael HabtuDepartment of Community Health, School of Public Health, University of Rwanda College of Medicine and Health Sciences, Kigali, Rwanda.ORCID https://orcid.org/0000-0001-5876-2743

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractBackground: Stunting in young children continues to be a public health concern in Rwanda. The effect of stunting in the first 1000 days of life has long-term consequences, including decreased brain development and a higher risk of developing diseases later in life. To design proper interventions, identifying the risk factors of stunting too early is paramount. The study thus aimed to identify the prevalence of stunting too early (6-23 months) and its associated risk factors. Methods: The research study analysed secondary data from the nationally conducted demographic health survey of 2019-2020, which was analysed by using bivariate analysis and multivariable logistic regression models to determine the factors associated with stunting that occurred too early. P value of <0.05, regression coefficients and their 95% CI were used to assess the level of significance as well as insights related to the strength and direction of the relationship between being stunted too early and other covariates. Results: A total of 1180 children aged 6-23 months were included in the analysis. The overall prevalence of stunting too early was 30% with a 95% CI of 27.4%-32.6%. Moreover, the prevalence of stunting was 29.0%, 20.0%, 23.0% and 35% among the 6 months, 7-8 months, 9-12 months and 13-23 months age groups, respectively. After adjusting for potential confounding variables, the following factors were independently associated with stunting too early: being male (aOR:2.3; 95% CI:1.68 to 3.00), not currently being breastfed (aOR:1.97, 95% CI:1.21 to 3.19), mothers aged 25-34 and more than 34 years (aOR:1.64; 95% CI:1.11 to 2.43) and (aOR:1.63; 95% CI:1.07 to 2.47), respectively, households with poor wealth index (aOR:2.61; 95%CI: 1.72 to 3.09), child age group of 13-23 months (aOR:2.00; 95% CI:1.14 to 5.51) and small child size at birth (aOR:2.36; 95% CI:1.42 to 3.92). Conclusions: The prevalence of stunting too early was high, and the factors significantly associated with it were the sex and age of the child, the mother's age, low socio-economic status and small child size at birth. There is a need to address those factors through campaigns of health education, emphasis on girls' education for their empowerment and strengthening of nutritional programme implementation.

Indexed as

Malnutrition

Identifiers

PMID40771498
PMCPMC12322549

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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.