Evidence map›Paper›PMID 33121554›Full record

ArticlePublic health nutrition2021

Mid-upper arm circumference as a screening tool for identifying adolescents with thinness.

Binyam Girma Sisay, Demewoz Haile, Hamid Yimam Hassen, Seifu Hagos Gebreyesus

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In one paragraph

Article in Public health nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

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12citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Binyam Girma SisayDepartment of Nutrition and Dietetics, School of Public Health, Addis Ababa University, Addis Ababa9086, Ethiopia.ORCID 0000-0002-9310-8170
Demewoz HaileDepartment of Nutrition and Dietetics, School of Public Health, Addis Ababa University, Addis Ababa9086, Ethiopia.
Hamid Yimam HassenDepartment of Primary and Interdisciplinary Care, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium.ORCID 0000-0001-6485-4193
Seifu Hagos GebreyesusDepartment of Nutrition and Dietetics, School of Public Health, Addis Ababa University, Addis Ababa9086, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the performance of mid-upper arm circumference (MUAC) to identify thinness in the late adolescence period (aged 15-19 years) in Ethiopia.

designWe conducted a school-based cross-sectional study. The receiver operating characteristics curve was used to examine the validity of MUAC compared with BMI Z-score to identify adolescents with thinness (BMI Z-score <-2 sd). SETTINGS: Fifteen high schools (grade 9-12) located in Addis Ababa, Ethiopia.

participantsA total of 851 adolescent (456 males and 395 females) were included in the study.

resultsThe prevalence of thinness and severe thinness among high-school adolescents in Addis Ababa was 9·5 % (95 % CI 7·7, 11·7 %). The overall AUC for MUAC against BMI Z-score <-2 SD was 0·91 (95 % CI 0·88, 0·93). The optimal MUAC cut-offs to identify thinness were 23·3 cm for males and 22·6 cm for females. These cut-off points give high sensitivity and specificity for both males (a sensitivity of 87·9 % and a specificity of 75·9 %) and females (a sensitivity of 100 % and a specificity 88·2 %).

conclusionsMUAC has a comparable level of accuracy with BMI Z-score to identify thinness in adolescents aged 15-19 years. Hence, MUAC could be used as an alternative tool for surveillance and screening of thinness among adolescents aged 15-19 years. The optimum cut-off proposed by this study may incorrectly include a large number of adolescents when used in a relatively well-nourished population. In this situation, it would be necessary to choose a cut-off with greater positive predictive value.

Indexed as

ArmThinnessAdolescentAnthropometryCross-Sectional StudiesEthiopiaFemaleHumansMaleMass ScreeningAdolescentBMIEthiopiaMid-upper arm circumferenceThinness

Identifiers

PMID33121554
PMCPMC10195468

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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.