Evidence map›Paper›PMID 40720437›Full record

ArticlePloS one2025

The validity of mid-upper arm circumference as an indicator of underweight, overweight and obesity adults in Bangladesh.

Sheikh Arafat Rahman, Md Humayan Kabir, Shaikh Shahinur Rahman, Md Kamruzzaman

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

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

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Sheikh Arafat RahmanDepartment of Applied Nutrition and Food Technology, Islamic University, Kushtia, Bangladesh.ORCID https://orcid.org/0009-0003-6886-9589
Md Humayan KabirDepartment of Applied Nutrition and Food Technology, Islamic University, Kushtia, Bangladesh.ORCID https://orcid.org/0009-0000-4538-4683
Shaikh Shahinur RahmanDepartment of Applied Nutrition and Food Technology, Islamic University, Kushtia, Bangladesh.
Md KamruzzamanDepartment of Applied Nutrition and Food Technology, Islamic University, Kushtia, Bangladesh.ORCID https://orcid.org/0000-0001-5138-2182

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMid-upper-arm circumference (MUAC), as a simple measurement, is an effective alternative to body mass index (BMI) for resource-limited countries such as Bangladesh. The present study aimed to investigate the age- and sex-specific MUAC cut-off points as screening tools for underweight, overweight and obesity in Bangladesh. SUBJECT AND

methodsA nationally representative dataset (BDHS-2017/18) comprising of 12,962 adults individuals (females: 56.5%, mean age: 39.5±16.0 Years, BMI: 22.4±4.1 kg/m2 and MUAC: 27.4±3.1 cm) was analyzed. BMI was categorized as underweight (BMI <18.5 kg/m2), overweight (BMI: 23 kg/m2), or obese (BMI: ≥27.5 kg/m2). A receiver operating characteristic curve analysis was conducted to determine the optimal MUAC cut-off, based on Youden Index, for underweight, overweight, and obese individuals. Multiple linear regression analysis was performed, adjusting for age and sex, to explore age and sex-specific changes in the association between MUAC and BMI. Restricted cubic spline and binary logistic regression analyses were performed to evaluate the risk of underweight, overweight and obesity among different MUAC quartiles.

resultsFor males, MUAC cut-offs were ≤26.5 cm for underweight (AUC: 82.1%, sensitivity: 71.1%, specificity: 77.8%), ≥ 28.5 cm for overweight (AUC: 84.8%, sensitivity: 77.6%, specificity: 76.9%), and ≥29.5 cm for obesity (AUC: 89.4%, sensitivity: 87.8%, specificity: 76.6%) in younger and middle-aged individuals; older males had cut-offs of ≤25.5 cm, ≥ 27.5 cm, and ≥29.5 cm respectively. For females, the cut-offs were lower: ≤ 25.5 cm for underweight in younger and middle-aged, and ≤24.5 cm in older; ≥ 27.5 cm for overweight in younger, and ≥26.5 cm in middle-aged and older; and ≥28.5 cm for obesity in younger and middle-aged, and ≥27.5 cm in older. The MUAC-BMI correlation was strong (R = 0.69, P < 0.001), stronger in males (R = 0.75) than females (R = 0.69). The MUAC cut-off for underweight, overweight, and obesity slightly decreased with age in both sexes.

conclusionAge- and sex-specific MUAC cut-offs are effective for screening underweight, overweight and obesity in Bangladesh.

Indexed as

ArmObesityOverweightThinnessAdolescentAdultAgedAnthropometryBangladeshBody Mass IndexFemaleHumansMaleMiddle AgedROC CurveYoung Adult

Identifiers

PMID40720437
PMCPMC12303288

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