Evidence map›Paper›PMID 32212249›Full record

ArticleMaternal & child nutrition2020

Concurrently wasted and stunted children 6-59 months in Karamoja, Uganda: prevalence and case detection.

Gloria Adobea Odei Obeng-Amoako, Mark Myatt, Joel Conkle, Brenda Kaijuka Muwaga, Richmond Aryeetey, Andrew Livex Okwi, Isaac Okullo, Ezekiel Mupere, Henry Wamani, André Briend and 2 more

Abstract 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 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 pooled it
–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

20 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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.

Gloria Adobea Odei Obeng-AmoakoClinical Epidemiology Unit, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda.ORCID 0000-0001-5004-3701
Mark MyattBrixton Health, Powys, UK.ORCID 0000-0003-1119-1474
Joel ConkleHealth and Nutrition Section, UNICEF, Windhoek, Namibia.ORCID 0000-0003-2603-5052
Brenda Kaijuka MuwagaIndependent Consultant, Kampala, Uganda.
Richmond AryeeteySchool of Public Health, University of Ghana, Accra, Ghana.
Andrew Livex OkwiDepartment of Pathology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda.
Isaac OkulloDepartment of Dentistry, School of Health Sciences, College of Health Sciences, Makerere University, Kampala, Uganda.
Ezekiel MupereDepartment of Paediatrics and Child Health, College of Health Sciences, Makerere University, Kampala, Uganda.
Henry WamaniDepartment of Community Health and Behavioural Sciences, School of Public Health, College of Health Sciences, Makerere University, Kampala, Uganda.
André BriendSchool of Medicine, Centre for Child Health Research, University of Tampere, Tampere, Finland.ORCID 0000-0001-9390-8541
Charles Amnon Sunday KaramagiClinical Epidemiology Unit, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda.
Joan Nakayaga KalyangoClinical Epidemiology Unit, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We assessed prevalence of concurrently wasted and stunted (WaSt) and explored the overlaps between wasted, stunted, underweight and low mid-upper arm circumference (MUAC) among children aged 6-59 months in Karamoja, Uganda. We also determined optimal weight-for-age (WAZ) and MUAC thresholds for detecting WaSt. We conducted secondary data analysis with 2015-2018 Food Security and Nutrition Assessment (FSNA) cross-sectional survey datasets from Karamoja. Wasting, stunting and underweight were defined as <-2.0 z-scores using WHO growth standards. Low MUAC was defined as <12.5 cm. We defined WaSt as concurrent wasting and stunting. Prevalence of WaSt was 4.96% (95% CI [4.64, 5.29]). WaSt was more prevalent in lean than harvest season (5.21% vs. 4.53%; p = .018). About half (53.92%) of WaSt children had low MUAC, and all were underweight. Younger children aged <36 months had more WaSt, particularly males. Males with WaSt had higher median MUAC than females (12.50 vs. 12.10 cm; p < .001). A WAZ <-2.60 threshold detected WaSt with excellent sensitivity (99.02%) and high specificity (90.71%). MUAC threshold <13.20 cm had good sensitivity (81.58%) and moderate specificity (76.15%) to detect WaSt. WaSt prevalence of 5% is a public health concern, given its high mortality risk. All children with WaSt were underweight and half had low MUAC. WAZ and MUAC could be useful tools for detecting WaSt. Prevalence monitoring and prospective studies on WAZ and MUAC cut-offs for WaSt detection are recommended. Future consideration to integrate WAZ into therapeutic feeding programmes is recommended to detect and treat WaSt children.

Indexed as

Growth DisordersAnthropometryChildCross-Sectional StudiesFemaleHumansInfantMalePrevalenceProspective StudiesUgandacase detectionconcurrent wasting and stuntingMUACstuntingUgandaWaStwasting

Identifiers

PMID32212249
PMCPMC7507527

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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.