Evidence map›Paper›PMID 32799964›Full record

SynthesisPublic health nutrition2020

Determining a global mid-upper arm circumference cut-off to assess underweight in adults (men and non-pregnant women).

Alice M Tang, Mei Chung, Kimberly R Dong, Paluku Bahwere, Kaushik Bose, Raja Chakraborty, Karen Charlton, Priyanka Das, Mihir Ghosh, Md Iqbal Hossain and 5 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Public health nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 1 pooled it
10.1field-weighted citation impact, top 1% 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

59 citing papers in PubMed, 1 synthesis or guideline pooled it, 110 citations in OpenAlex.

  1. Pooled it
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  5. Maternal mid-upper arm circumference to predict small for gestational age: Findings in a Zambian cohort.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2023
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  11. A Cross-sectional Study to Determine the Nutritional Status of Pregnant Women using Mid-upper Arm Circumference and Neck Circumference.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 9 institutions in 7 countries.

Alice M TangDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA02111, USA.
Mei ChungDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA02111, USA.
Kimberly R DongDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA02111, USA.
Paluku BahwereValid International, Oxford, United Kingdom.
Kaushik BoseDepartment of Anthropology, Vidyasagar University, Midnapore, West Bengal, India.
Raja ChakrabortyDepartment of Anthropology, Dinabandhu Mahavidyalaya, Bongaon, West Bengal, India.
Karen CharltonSchool of Medicine, University of Wollongong, Wollongong, New South Wales, Australia.
Priyanka DasDepartment of Anthropology, Vidyasagar University, Midnapore, West Bengal, India.
Mihir GhoshDepartment of Anthropology, Vidyasagar University, Midnapore, West Bengal, India.
Md Iqbal HossainNutrition and Clinical Services Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Phuong NguyenPoverty, Health and Nutrition Division, International Food Policy Research Institute, Washington, DC, USA.
Cecilie B PatscheDepartment of Public Health, Center for Global Health (GloHAU), Aarhus University, Aarhus C, Denmark.
Tania SultanaNutrition and Clinical Services Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Megan DeitchlerFHI360, Washington, DC, USA.
Zeina Maalouf-ManassehConsultant, Washington, DC, USA.
Tufts University · USVidyasagar University · INInternational Centre for Diarrhoeal Disease Research · BDAarhus University · DKFamily Health International 360 · USIllawarra Health and Medical Research Institute · AUInternational Food Policy Research Institute · USSanskriti Samvardhan Mandal · INValid International (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine if a global mid-upper arm circumference (MUAC) cut-off can be established to classify underweight in adults (men and non-pregnant women).

designWe conducted an individual participant data meta-analysis (IPDMA) to explore the sensitivity (SENS) and specificity (SPEC) of various MUAC cut-offs for identifying underweight among adults (defined as BMI < 18·5 kg/m2). Measures of diagnostic accuracy were determined every 0·5 cm across MUAC values from 19·0 to 26·5 cm. A bivariate random effects model was used to jointly estimate SENS and SPEC while accounting for heterogeneity between studies. Various subgroup analyses were performed.

settingTwenty datasets from Africa, South Asia, Southeast Asia, North America and South America were included.

participantsAll eligible participants from the original datasets were included.

resultsThe total sample size was 13 835. Mean age was 32·6 years and 65 % of participants were female. Mean MUAC was 25·7 cm, and 28 % of all participants had low BMI (<18·5 kg/m2). The area under the receiver operating characteristic curve for the pooled dataset was 0·91 (range across studies 0·61-0·98). Results showed that MUAC cut-offs in the range of ≤23·5 to ≤25·0 cm could serve as an appropriate screening indicator for underweight.

conclusionsMUAC is highly discriminatory in its ability to distinguish adults with BMI above and below 18·5 kg/m2. This IPDMA is the first step towards determining a global MUAC cut-off for adults. Validation studies are needed to determine whether the proposed MUAC cut-off of 24 cm is associated with poor functional outcomes.

Indexed as

ArmThinnessAdultAfricaAnthropometryAsiaBody Mass IndexCross-Sectional StudiesFemaleHumansMaleNorth AmericaSouth AmericaCut-offIndividual participant data meta-analysisLow BMIMid-upper arm circumferenceNutritional screeningUnderweight

Identifiers

PMID32799964
PMCPMC10200499
OpenAlexW3079278552

What OpenQuestion holds

Textmetadata
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.