Evidence map›Paper›PMID 29843829›Full record

ArticlePublic health nutrition2018

The validity of mid-upper arm circumference as an indicator of low BMI in population screening for undernutrition: a study among adult slum dwellers in eastern India.

Priyanka Das, Argina Khatun, Kaushik Bose, Raja Chakraborty

Abstract readValidation Study
In one paragraph

Article in Public health nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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

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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

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

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4 · The record

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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

4 authors.

Priyanka Das1Department of Anthropology,Vidyasagar University,Midnapore, West Bengal,India.
Argina Khatun1Department of Anthropology,Vidyasagar University,Midnapore, West Bengal,India.
Kaushik Bose1Department of Anthropology,Vidyasagar University,Midnapore, West Bengal,India.
Raja Chakraborty2Department of Anthropology,Dinabandhu Mahavidyalaya,Bongaon,North 24 Parganas,743235 West Bengal,India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the possibility for a statistically appropriate value of mid-upper arm circumference (MUAC) to identify the state of severe undernutrition, based on very low BMI, among adult Indian slum dwellers.

designCross-sectional study on adults. Height and MUAC were recorded and BMI was computed. Chronic energy deficiency (CED) was determined using the WHO international guidelines as BMI<18·5 kg/m2 and normal as BMI≥18·5 kg/m2. Besides calculating mean, sd and 25th, 50th and 75th percentile values, multiple linear regression analysis was undertaken to assess the associations between age, MUAC and BMI. Receiver-operating characteristic curve analysis was performed to determine the best MUAC cut-off to identify CED status. The χ 2 test was used to assess significance of the difference in CED prevalence across MUAC categories.

settingAn urban slum in Midnapore town, West Bengal State, India. SUBJECTS: Male (n 467) and female (n 488) Indian slum dwellers.

resultsMUAC of 22·7 and 21·9 cm, respectively, in males and females were the best cut-off points to differentiate CED from non-CED.

conclusionsResults supported the validity of the WHO-recommended MUAC cut-offs for adults. There is still a need to establish statistically appropriate MUAC cut-offs to predict undernutrition and morbidity.

Indexed as

Body Mass IndexPoverty AreasAdultAgedAnthropometryArmCross-Sectional StudiesFemaleHumansIndiaMaleMiddle AgedProtein-Energy MalnutritionAdultBMIChronic energy deficiencyCut-offIndiaMid-upper arm circumferenceSlum

Identifiers

PMID29843829
PMCPMC10261088

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