Relationship between Mid-Upper Arm Circumference and Body Mass Index in Inpatients
Nutritional screening is a fundamental aspect of the initial evaluation of the hospitalised patient. Body Mass Index (BMI) in association with other parameters is a good marker of malnutrition (
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| creator | Benítez Brito, Néstor Suárez Llanos, José Pablo Fuentes Ferrer, Manuel Oliva García, Jose Gregorio Delgado Brito, Irina Pereyra-García Castro, Francisca Caracena Castellanos, Nieves Acevedo Rodríguez, Candelaria Xiomara Palacio Abizanda, Enrique |
| description | Nutritional screening is a fundamental aspect of the initial evaluation of the hospitalised patient. Body Mass Index (BMI) in association with other parameters is a good marker of malnutrition ( |
| doi_str_mv | 10.1371/journal.pone.0160480 |
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1) Analyse the relationship between BMI and Mid-Upper Arm Circumference (MUAC); 2) establish a cut-off point of MUAC equivalent to BMI <18.5 kg/m2.
The anthropometric data of patients hospitalised over the period 2004-2013 were retrospectively revised. The following variables were collected: weight, height, BMI, MUAC, sex and age.
1373 patients were evaluated, who presented a mean weight of: 65.04±15.51 kg; height: 1.66±0.09 m; BMI: 23.48±5.03 kg/m2; MUAC: 26.95±4.50 cm; age: 56.24±16.77. MUAC correlates suitably to BMI by means of the following equation (simple linear regression): BMI = - 0.042 + 0.873 x MUAC (cm) (R2 = 0.609), with a Pearson r value of 0.78 (p<0.001). The area under the curve of MUAC for the diagnosis of malnutrition was 0.92 (95% CI: 0.90-0.94; p<0.001). The MUAC value ≤22.5 cm presented a sensitivity of 67.7%, specificity of 94.5%, and a correct classification of 90%. No significant statistical differences were found in the cut-off point of MUAC for the diagnosis of malnutrition based on sex (p = 0.115) and age (p = 0.694).
1) MUAC correlates positively and significantly with BMI. 2) MUAC ≤ 22.5 cm correlates properly with a BMI of <18.5 kg/m2, independent of the age or sex of the patient, although there are other alternatives. MUAC constitutes a useful tool as a marker of malnutrition, fundamentally in patients for whom weight and height cannot be determined.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0160480</identifier><identifier>PMID: 27494612</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Age ; Aged ; Analysis ; Anthropometry ; Anthropometry - methods ; Arm ; Arm - anatomy & histology ; Arm - physiology ; Arm circumference ; Biology and Life Sciences ; Body mass ; Body Mass Index ; Body measurements ; Body size ; Correlation ; Diagnosis ; Edema ; Endocrinology ; Female ; Health aspects ; Hospital patients ; Hospitals ; Humans ; Inpatients ; Male ; Malnutrition ; Medicine and Health Sciences ; Middle Aged ; Mortality ; Nutrition ; Nutritional assessment ; Nutritional Status ; Patients ; People and Places ; Regression analysis ; Research and Analysis Methods ; Retrospective Studies ; Sex ; Social Sciences ; Statistical analysis</subject><ispartof>PloS one, 2016-08, Vol.11 (8), p.e0160480-e0160480</ispartof><rights>COPYRIGHT 2016 Public Library of Science</rights><rights>2016 Benítez Brito et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2016 Benítez Brito et al 2016 Benítez Brito et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c791t-ed1c4191f63ef8dd2e9b1d4778e905a79ce0e31e0556d785829525a92787bda03</citedby><cites>FETCH-LOGICAL-c791t-ed1c4191f63ef8dd2e9b1d4778e905a79ce0e31e0556d785829525a92787bda03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4975446/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4975446/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27494612$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Benítez Brito, Néstor</creatorcontrib><creatorcontrib>Suárez Llanos, José Pablo</creatorcontrib><creatorcontrib>Fuentes Ferrer, Manuel</creatorcontrib><creatorcontrib>Oliva García, Jose Gregorio</creatorcontrib><creatorcontrib>Delgado Brito, Irina</creatorcontrib><creatorcontrib>Pereyra-García Castro, Francisca</creatorcontrib><creatorcontrib>Caracena Castellanos, Nieves</creatorcontrib><creatorcontrib>Acevedo Rodríguez, Candelaria Xiomara</creatorcontrib><creatorcontrib>Palacio Abizanda, Enrique</creatorcontrib><title>Relationship between Mid-Upper Arm Circumference and Body Mass Index in Inpatients</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Nutritional screening is a fundamental aspect of the initial evaluation of the hospitalised patient. Body Mass Index (BMI) in association with other parameters is a good marker of malnutrition (<18.5 kg/m2), but it presents the handicap that the great majority of patients cannot be weighed and measured. For this reason it is necessary to find other indicators that can be measured in these patients.
1) Analyse the relationship between BMI and Mid-Upper Arm Circumference (MUAC); 2) establish a cut-off point of MUAC equivalent to BMI <18.5 kg/m2.
The anthropometric data of patients hospitalised over the period 2004-2013 were retrospectively revised. The following variables were collected: weight, height, BMI, MUAC, sex and age.
1373 patients were evaluated, who presented a mean weight of: 65.04±15.51 kg; height: 1.66±0.09 m; BMI: 23.48±5.03 kg/m2; MUAC: 26.95±4.50 cm; age: 56.24±16.77. MUAC correlates suitably to BMI by means of the following equation (simple linear regression): BMI = - 0.042 + 0.873 x MUAC (cm) (R2 = 0.609), with a Pearson r value of 0.78 (p<0.001). The area under the curve of MUAC for the diagnosis of malnutrition was 0.92 (95% CI: 0.90-0.94; p<0.001). The MUAC value ≤22.5 cm presented a sensitivity of 67.7%, specificity of 94.5%, and a correct classification of 90%. No significant statistical differences were found in the cut-off point of MUAC for the diagnosis of malnutrition based on sex (p = 0.115) and age (p = 0.694).
1) MUAC correlates positively and significantly with BMI. 2) MUAC ≤ 22.5 cm correlates properly with a BMI of <18.5 kg/m2, independent of the age or sex of the patient, although there are other alternatives. MUAC constitutes a useful tool as a marker of malnutrition, fundamentally in patients for whom weight and height cannot be determined.</description><subject>Adult</subject><subject>Age</subject><subject>Aged</subject><subject>Analysis</subject><subject>Anthropometry</subject><subject>Anthropometry - methods</subject><subject>Arm</subject><subject>Arm - anatomy & histology</subject><subject>Arm - physiology</subject><subject>Arm circumference</subject><subject>Biology and Life Sciences</subject><subject>Body mass</subject><subject>Body Mass Index</subject><subject>Body measurements</subject><subject>Body size</subject><subject>Correlation</subject><subject>Diagnosis</subject><subject>Edema</subject><subject>Endocrinology</subject><subject>Female</subject><subject>Health aspects</subject><subject>Hospital patients</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Inpatients</subject><subject>Male</subject><subject>Malnutrition</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Nutrition</subject><subject>Nutritional assessment</subject><subject>Nutritional Status</subject><subject>Patients</subject><subject>People and Places</subject><subject>Regression analysis</subject><subject>Research and Analysis Methods</subject><subject>Retrospective Studies</subject><subject>Sex</subject><subject>Social Sciences</subject><subject>Statistical 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between Mid-Upper Arm Circumference and Body Mass Index in Inpatients</title><author>Benítez Brito, Néstor ; Suárez Llanos, José Pablo ; Fuentes Ferrer, Manuel ; Oliva García, Jose Gregorio ; Delgado Brito, Irina ; Pereyra-García Castro, Francisca ; Caracena Castellanos, Nieves ; Acevedo Rodríguez, Candelaria Xiomara ; Palacio Abizanda, Enrique</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c791t-ed1c4191f63ef8dd2e9b1d4778e905a79ce0e31e0556d785829525a92787bda03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adult</topic><topic>Age</topic><topic>Aged</topic><topic>Analysis</topic><topic>Anthropometry</topic><topic>Anthropometry - methods</topic><topic>Arm</topic><topic>Arm - anatomy & histology</topic><topic>Arm - physiology</topic><topic>Arm circumference</topic><topic>Biology and Life Sciences</topic><topic>Body mass</topic><topic>Body Mass Index</topic><topic>Body 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Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Benítez Brito, Néstor</au><au>Suárez Llanos, José Pablo</au><au>Fuentes Ferrer, Manuel</au><au>Oliva García, Jose Gregorio</au><au>Delgado Brito, Irina</au><au>Pereyra-García Castro, Francisca</au><au>Caracena Castellanos, Nieves</au><au>Acevedo Rodríguez, Candelaria Xiomara</au><au>Palacio Abizanda, Enrique</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Relationship between Mid-Upper Arm Circumference and Body Mass Index in Inpatients</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2016-08-05</date><risdate>2016</risdate><volume>11</volume><issue>8</issue><spage>e0160480</spage><epage>e0160480</epage><pages>e0160480-e0160480</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Nutritional screening is a fundamental aspect of the initial evaluation of the hospitalised patient. Body Mass Index (BMI) in association with other parameters is a good marker of malnutrition (<18.5 kg/m2), but it presents the handicap that the great majority of patients cannot be weighed and measured. For this reason it is necessary to find other indicators that can be measured in these patients.
1) Analyse the relationship between BMI and Mid-Upper Arm Circumference (MUAC); 2) establish a cut-off point of MUAC equivalent to BMI <18.5 kg/m2.
The anthropometric data of patients hospitalised over the period 2004-2013 were retrospectively revised. The following variables were collected: weight, height, BMI, MUAC, sex and age.
1373 patients were evaluated, who presented a mean weight of: 65.04±15.51 kg; height: 1.66±0.09 m; BMI: 23.48±5.03 kg/m2; MUAC: 26.95±4.50 cm; age: 56.24±16.77. MUAC correlates suitably to BMI by means of the following equation (simple linear regression): BMI = - 0.042 + 0.873 x MUAC (cm) (R2 = 0.609), with a Pearson r value of 0.78 (p<0.001). The area under the curve of MUAC for the diagnosis of malnutrition was 0.92 (95% CI: 0.90-0.94; p<0.001). The MUAC value ≤22.5 cm presented a sensitivity of 67.7%, specificity of 94.5%, and a correct classification of 90%. No significant statistical differences were found in the cut-off point of MUAC for the diagnosis of malnutrition based on sex (p = 0.115) and age (p = 0.694).
1) MUAC correlates positively and significantly with BMI. 2) MUAC ≤ 22.5 cm correlates properly with a BMI of <18.5 kg/m2, independent of the age or sex of the patient, although there are other alternatives. MUAC constitutes a useful tool as a marker of malnutrition, fundamentally in patients for whom weight and height cannot be determined.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>27494612</pmid><doi>10.1371/journal.pone.0160480</doi><tpages>e0160480</tpages><oa>free_for_read</oa></addata></record> |
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| issn | 1932-6203 1932-6203 |
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| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
| subjects | Adult Age Aged Analysis Anthropometry Anthropometry - methods Arm Arm - anatomy & histology Arm - physiology Arm circumference Biology and Life Sciences Body mass Body Mass Index Body measurements Body size Correlation Diagnosis Edema Endocrinology Female Health aspects Hospital patients Hospitals Humans Inpatients Male Malnutrition Medicine and Health Sciences Middle Aged Mortality Nutrition Nutritional assessment Nutritional Status Patients People and Places Regression analysis Research and Analysis Methods Retrospective Studies Sex Social Sciences Statistical analysis |
| title | Relationship between Mid-Upper Arm Circumference and Body Mass Index in Inpatients |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-08T05%3A29%3A56IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Relationship%20between%20Mid-Upper%20Arm%20Circumference%20and%20Body%20Mass%20Index%20in%20Inpatients&rft.jtitle=PloS%20one&rft.au=Ben%C3%ADtez%20Brito,%20N%C3%A9stor&rft.date=2016-08-05&rft.volume=11&rft.issue=8&rft.spage=e0160480&rft.epage=e0160480&rft.pages=e0160480-e0160480&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0160480&rft_dat=%3Cgale_plos_%3EA460030520%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1812517460&rft_id=info:pmid/27494612&rft_galeid=A460030520&rft_doaj_id=oai_doaj_org_article_66fdbd5286754430a3f1ba4a9e2806a6&rfr_iscdi=true |