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Mid-upper arm circumference as a screening tool for identifying underweight adolescents
BACKGROUND: Mid-upper arm circumference (MUAC) is a potentially credible alternative method for body mass index (BMI) to assess nutritional status. We aimed to assess the correlation between MUAC and BMI- Z-score and to identify a reliable MUAC cut-off point to detect underweight (BMI- Z-score of &l...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10587426/ https://www.ncbi.nlm.nih.gov/pubmed/37867488 http://dx.doi.org/10.3389/fnut.2023.1200077 |
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author | Musa, Imad R. Omar, Saeed M. AlEed, Ashwaq Al-Nafeesah, Abdullah Adam, Ishag |
author_facet | Musa, Imad R. Omar, Saeed M. AlEed, Ashwaq Al-Nafeesah, Abdullah Adam, Ishag |
author_sort | Musa, Imad R. |
collection | PubMed |
description | BACKGROUND: Mid-upper arm circumference (MUAC) is a potentially credible alternative method for body mass index (BMI) to assess nutritional status. We aimed to assess the correlation between MUAC and BMI- Z-score and to identify a reliable MUAC cut-off point to detect underweight (BMI- Z-score of < −2 standard deviation) Sudanese adolescents. METHODS: A cross-sectional study was conducted in eastern Sudan. After obtaining adolescents’ age and sex, their weight, height, and MUAC were measured using the standard procedures. The MUAC (cm) cut-off corresponding to underweight was calculated using receiver operating characteristic (ROC) curve analysis. RESULTS: In total, 390 adolescents were enrolled in the study and 205 (52.6%) of them were females. The median (interquartile range, IQR) age was 15.1 (14.0–16.3) years. The medians (IQR) of MUAC and BMI- Z-score were 22.0 (20.0–24.0) cm and − 0.62 (−1.5–0.3), respectively. MUAC was positively correlated with BMI Z-score in all participants (r = 0.534, p < 0.001), in females (r = 0.715, p < 0.001), and in males (r = 0.404, p < 0.001). Of the 390 enrolled adolescents, 61(15.6%) were underweight. The MUAC cut-off for underweight was ≤21.2 cm in all participants (Youden’s Index, YI = 0.50; sensitivity = 82.0%; specificity = 68.0%, AUROCC = 0.78), in females (YI = 0.66, sensitivity = 86.0%, specificity = 80.0%, AUROCC = 0.87), and in males (YI = 0.32, sensitivity = 80.0%, specificity = 52.0%, AUROCC = 0.69). CONCLUSION: MUAC has good accuracy results and can be adopted for community-based screening of underweight adolescents. |
format | Online Article Text |
id | pubmed-10587426 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105874262023-10-21 Mid-upper arm circumference as a screening tool for identifying underweight adolescents Musa, Imad R. Omar, Saeed M. AlEed, Ashwaq Al-Nafeesah, Abdullah Adam, Ishag Front Nutr Nutrition BACKGROUND: Mid-upper arm circumference (MUAC) is a potentially credible alternative method for body mass index (BMI) to assess nutritional status. We aimed to assess the correlation between MUAC and BMI- Z-score and to identify a reliable MUAC cut-off point to detect underweight (BMI- Z-score of < −2 standard deviation) Sudanese adolescents. METHODS: A cross-sectional study was conducted in eastern Sudan. After obtaining adolescents’ age and sex, their weight, height, and MUAC were measured using the standard procedures. The MUAC (cm) cut-off corresponding to underweight was calculated using receiver operating characteristic (ROC) curve analysis. RESULTS: In total, 390 adolescents were enrolled in the study and 205 (52.6%) of them were females. The median (interquartile range, IQR) age was 15.1 (14.0–16.3) years. The medians (IQR) of MUAC and BMI- Z-score were 22.0 (20.0–24.0) cm and − 0.62 (−1.5–0.3), respectively. MUAC was positively correlated with BMI Z-score in all participants (r = 0.534, p < 0.001), in females (r = 0.715, p < 0.001), and in males (r = 0.404, p < 0.001). Of the 390 enrolled adolescents, 61(15.6%) were underweight. The MUAC cut-off for underweight was ≤21.2 cm in all participants (Youden’s Index, YI = 0.50; sensitivity = 82.0%; specificity = 68.0%, AUROCC = 0.78), in females (YI = 0.66, sensitivity = 86.0%, specificity = 80.0%, AUROCC = 0.87), and in males (YI = 0.32, sensitivity = 80.0%, specificity = 52.0%, AUROCC = 0.69). CONCLUSION: MUAC has good accuracy results and can be adopted for community-based screening of underweight adolescents. Frontiers Media S.A. 2023-10-06 /pmc/articles/PMC10587426/ /pubmed/37867488 http://dx.doi.org/10.3389/fnut.2023.1200077 Text en Copyright © 2023 Musa, Omar, AlEed, Al-Nafeesah and Adam. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Nutrition Musa, Imad R. Omar, Saeed M. AlEed, Ashwaq Al-Nafeesah, Abdullah Adam, Ishag Mid-upper arm circumference as a screening tool for identifying underweight adolescents |
title | Mid-upper arm circumference as a screening tool for identifying underweight adolescents |
title_full | Mid-upper arm circumference as a screening tool for identifying underweight adolescents |
title_fullStr | Mid-upper arm circumference as a screening tool for identifying underweight adolescents |
title_full_unstemmed | Mid-upper arm circumference as a screening tool for identifying underweight adolescents |
title_short | Mid-upper arm circumference as a screening tool for identifying underweight adolescents |
title_sort | mid-upper arm circumference as a screening tool for identifying underweight adolescents |
topic | Nutrition |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10587426/ https://www.ncbi.nlm.nih.gov/pubmed/37867488 http://dx.doi.org/10.3389/fnut.2023.1200077 |
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