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Mid-upper arm circumference as an indicator of underweight in adults: a cross-sectional study from Nepal
BACKGROUND: Undernourished people have an increased risk of premature mortality from both infectious and non-communicable diseases. Aside from screening purposes, assessment of nutritional status is a useful tool in management and evaluation of various chronic diseases. Body-Mass-Index (BMI) is toda...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7391598/ https://www.ncbi.nlm.nih.gov/pubmed/32727437 http://dx.doi.org/10.1186/s12889-020-09294-0 |
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author | Thorup, Lene Hamann, Sophie Amalie Kallestrup, Per Hjortdal, Vibeke Elisabeth Tripathee, Ashish Neupane, Dinesh Patsche, Cecilie Blenstrup |
author_facet | Thorup, Lene Hamann, Sophie Amalie Kallestrup, Per Hjortdal, Vibeke Elisabeth Tripathee, Ashish Neupane, Dinesh Patsche, Cecilie Blenstrup |
author_sort | Thorup, Lene |
collection | PubMed |
description | BACKGROUND: Undernourished people have an increased risk of premature mortality from both infectious and non-communicable diseases. Aside from screening purposes, assessment of nutritional status is a useful tool in management and evaluation of various chronic diseases. Body-Mass-Index (BMI) is today the most commonly used marker of nutritional status however, this method presents a challenge in many low resource settings and immobile patients. Mid-upper arm circumference (MUAC) is another anthropometric measure that requires minimal equipment and little training. So far, MUAC cutoffs for undernutrition are well established in children < 5 years but there is still no consensus for a specific cutoff in adults. The objective of this study was to compare MUAC with BMI and suggest a MUAC cut-off corresponding to a BMI of 18.5 kg/m2 to identify underweight in adults. METHODS: A cross-sectional study was conducted at two urban public hospitals in Nepal. The following variables where collected: MUAC, weight, height, sex, age and self-reported medical history. Exclusion criteria: < 19 years of age, pregnancy and oedema. Sensitivity and specificity for a MUAC value corresponding to BMI < 18.5 was calculated. ROC analysis was performed for male and female as well as Pearson’s correlation of MUAC and BMI. RESULTS: A total of 302 people between 18 and 86 years of age, 197 women and 105 men, were included. Of these, 90 people suffered from rheumatic heart disease. MUAC was highly correlated with BMI in both women r = 0.889 and men r = 0.846. Best statistically derived MUAC cutoff corresponding to a BMI < 18.5 kg/m(2) was 24.5 cm (Youdens Index = 0.75; sensitivity 92.86; specificity 82.48), with high predictive value (AUROCC> 0.9). The setting based optimal MUAC cutoff was also 24.5 cm. No considerable variation was found in sex- and disease specific subgroups. CONCLUSION: MUAC is strongly correlated with BMI in adults in Nepal. For simplicity, a MUAC of 24.5 cm is the optimal statistically and setting based cutoff in both women and men to identify underweight (BMI < 18.5 kg/m(2)). |
format | Online Article Text |
id | pubmed-7391598 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73915982020-08-04 Mid-upper arm circumference as an indicator of underweight in adults: a cross-sectional study from Nepal Thorup, Lene Hamann, Sophie Amalie Kallestrup, Per Hjortdal, Vibeke Elisabeth Tripathee, Ashish Neupane, Dinesh Patsche, Cecilie Blenstrup BMC Public Health Research Article BACKGROUND: Undernourished people have an increased risk of premature mortality from both infectious and non-communicable diseases. Aside from screening purposes, assessment of nutritional status is a useful tool in management and evaluation of various chronic diseases. Body-Mass-Index (BMI) is today the most commonly used marker of nutritional status however, this method presents a challenge in many low resource settings and immobile patients. Mid-upper arm circumference (MUAC) is another anthropometric measure that requires minimal equipment and little training. So far, MUAC cutoffs for undernutrition are well established in children < 5 years but there is still no consensus for a specific cutoff in adults. The objective of this study was to compare MUAC with BMI and suggest a MUAC cut-off corresponding to a BMI of 18.5 kg/m2 to identify underweight in adults. METHODS: A cross-sectional study was conducted at two urban public hospitals in Nepal. The following variables where collected: MUAC, weight, height, sex, age and self-reported medical history. Exclusion criteria: < 19 years of age, pregnancy and oedema. Sensitivity and specificity for a MUAC value corresponding to BMI < 18.5 was calculated. ROC analysis was performed for male and female as well as Pearson’s correlation of MUAC and BMI. RESULTS: A total of 302 people between 18 and 86 years of age, 197 women and 105 men, were included. Of these, 90 people suffered from rheumatic heart disease. MUAC was highly correlated with BMI in both women r = 0.889 and men r = 0.846. Best statistically derived MUAC cutoff corresponding to a BMI < 18.5 kg/m(2) was 24.5 cm (Youdens Index = 0.75; sensitivity 92.86; specificity 82.48), with high predictive value (AUROCC> 0.9). The setting based optimal MUAC cutoff was also 24.5 cm. No considerable variation was found in sex- and disease specific subgroups. CONCLUSION: MUAC is strongly correlated with BMI in adults in Nepal. For simplicity, a MUAC of 24.5 cm is the optimal statistically and setting based cutoff in both women and men to identify underweight (BMI < 18.5 kg/m(2)). BioMed Central 2020-07-29 /pmc/articles/PMC7391598/ /pubmed/32727437 http://dx.doi.org/10.1186/s12889-020-09294-0 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Thorup, Lene Hamann, Sophie Amalie Kallestrup, Per Hjortdal, Vibeke Elisabeth Tripathee, Ashish Neupane, Dinesh Patsche, Cecilie Blenstrup Mid-upper arm circumference as an indicator of underweight in adults: a cross-sectional study from Nepal |
title | Mid-upper arm circumference as an indicator of underweight in adults: a cross-sectional study from Nepal |
title_full | Mid-upper arm circumference as an indicator of underweight in adults: a cross-sectional study from Nepal |
title_fullStr | Mid-upper arm circumference as an indicator of underweight in adults: a cross-sectional study from Nepal |
title_full_unstemmed | Mid-upper arm circumference as an indicator of underweight in adults: a cross-sectional study from Nepal |
title_short | Mid-upper arm circumference as an indicator of underweight in adults: a cross-sectional study from Nepal |
title_sort | mid-upper arm circumference as an indicator of underweight in adults: a cross-sectional study from nepal |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7391598/ https://www.ncbi.nlm.nih.gov/pubmed/32727437 http://dx.doi.org/10.1186/s12889-020-09294-0 |
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