Evidence map›Paper›PMID 35157012›Full record

ArticleThe American journal of clinical nutrition2022

Malaria reduction drives childhood stunting decline in Uganda: a mixed-methods country case study.

Emily C Keats, Richard B Kajjura, Anushka Ataullahjan, Muhammad Islam, Breagh Cheng, Ahalya Somaskandan, Kimberly D Charbonneau, Erica Confreda, Rachel Jardine, Christina Oh and 2 more

Open access · hybridAbstract read
In one paragraph

Article in The American journal of clinical nutrition, 2022. 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
1.1field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 10 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

12 authors at 3 institutions in 3 countries.

Emily C KeatsCentre for Global Child Health, Hospital for Sick Children, Toronto, Ontario, Canada.ORCID 0000-0002-1354-7086
Richard B KajjuraMakerere University School of Public Health, Kampala, Uganda.
Anushka AtaullahjanCentre for Global Child Health, Hospital for Sick Children, Toronto, Ontario, Canada.
Muhammad IslamCentre for Global Child Health, Hospital for Sick Children, Toronto, Ontario, Canada.
Breagh ChengCentre for Global Child Health, Hospital for Sick Children, Toronto, Ontario, Canada.
Ahalya SomaskandanCentre for Global Child Health, Hospital for Sick Children, Toronto, Ontario, Canada.
Kimberly D CharbonneauCentre for Global Child Health, Hospital for Sick Children, Toronto, Ontario, Canada.
Erica ConfredaCentre for Global Child Health, Hospital for Sick Children, Toronto, Ontario, Canada.
Rachel JardineCentre for Global Child Health, Hospital for Sick Children, Toronto, Ontario, Canada.
Christina OhCentre for Global Child Health, Hospital for Sick Children, Toronto, Ontario, Canada.
Peter WaiswaMakerere University School of Public Health, Kampala, Uganda.
Zulfiqar A BhuttaCentre for Global Child Health, Hospital for Sick Children, Toronto, Ontario, Canada.
Hospital for Sick Children · CAMakerere University · UGAga Khan University · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUganda has achieved a considerable reduction in childhood stunting over the past 2 decades, although accelerated action will be needed to achieve 2030 targets.

objectivesThis study assessed the national, community, household, and individual-level drivers of stunting decline since 2000, along with direct and indirect nutrition policies and programs that have contributed to nutrition change in Uganda.

methodsThis mixed-methods study used 4 different approaches to determine the drivers of stunting change over time: 1) a scoping literature review; 2) quantitative data analyses, including Oaxaca-Blinder decomposition and difference-in-difference multivariable hierarchical modeling; 3) national- and community-level qualitative data collection and analysis; and 4) analysis of key direct and indirect nutrition policies, programs, and initiatives.

resultsStunting prevalence declined by 14% points from 2000 to 2016, although geographical, wealth, urban/rural, and education-based inequalities persist. Child growth curves demonstrated substantial improvements in child height-for-age z-scores (HAZs) at birth, reflecting improved maternal nutrition and intrauterine growth. The decomposition analysis explained 82% of HAZ change, with increased coverage of insecticide-treated mosquito nets (ITNs; 35%), better maternal nutrition (19%), improved maternal education (14%), and improved maternal and newborn healthcare (11%) being the most critical factors. The qualitative analysis supported these findings, and also pointed to wealth, women's empowerment, cultural norms, water and sanitation, dietary intake/diversity, and reduced childhood illness as important. The 2011 Uganda Nutrition Action Plan was an essential multisectoral strategy that shifted nutrition out of health and mainstreamed it across related sectors.

conclusionsUganda's success in stunting reduction was multifactorial, but driven largely through indirect nutrition strategies delivered outside of health. To further improve stunting, it will be critical to prioritize malaria-control strategies, including ITN distribution campaigns and prevention/treatment approaches for mothers and children, and deliberately target the poor, least educated, and rural populations along with high-burden districts.

Indexed as

Growth DisordersMalariaChildFemaleHumansInfantInfant, NewbornMothersNutritional StatusUgandachildheightinfantlengthlinear growthmalarianutritionstuntingUganda

Identifiers

PMID35157012
PMCPMC9170463
OpenAlexW4211254487

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.