Ulna length to predict height in English and Portuguese patient populations
Background/Objective: This study assessed the extent to which ulna length could be used to predict height and body mass index (BMI) in various groups of English and Portuguese hospitalised patients, and tidal volumes in critically ill patients at risk of requiring ventilatory support. Subjects/Metho...
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| Veröffentlicht in: | European journal of clinical nutrition 2012-02, Vol.66 (2), p.209-215 |
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| creator | Barbosa, V M Stratton, R J Lafuente, E Elia, M |
| description | Background/Objective:
This study assessed the extent to which ulna length could be used to predict height and body mass index (BMI) in various groups of English and Portuguese hospitalised patients, and tidal volumes in critically ill patients at risk of requiring ventilatory support.
Subjects/Methods:
Bedside measurements of weight, height and ulna length were made in 507 patients (432 English, 75 Portuguese; 264 men, 243 women) with a mean age of 61.8±18.9 years, height 165.1±9.5 cm and BMI 26.7±5.43 kg/m
2
.
Results:
Ulna length could be measured with ease in all subjects. The intra-observer technical error of measurement in the same subjects was 1%. Within each category of men and women aged |
| doi_str_mv | 10.1038/ejcn.2011.177 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_919650030</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A279378722</galeid><sourcerecordid>A279378722</sourcerecordid><originalsourceid>FETCH-LOGICAL-c624t-27ee624aa391ab6483bb6b29ddcb44f5aa5d7153154250ee6b17b5ae5a1fa4783</originalsourceid><addsrcrecordid>eNp90suPlDAcB3BiNO7s6tGrIRofF8Y-KKXHzWZ9xE304J7JD_gBnXRabMvB_97ijo6a0UBC0376-vHNsieUbCnh9RvcdXbLCKVbKuW9bENLWRWiKsn9bEOUKAtOiDzLzkPYEZIGJXuYnTGqasWZ2GQfb42F3KAd45RHl88ee93FfEI9TjHXNr-2o9FhysH2-Wfn4zIuGDCfIWq0MZ_dvJjUdjY8yh4MYAI-Pnwvstu311-u3hc3n959uLq8KbqKlbFgEjE1ALii0FZlzdu2apnq-64ty0EAiF5SwakomSDJtlS2AlAAHaCUNb_IXt2tO3v3NR0mNnsdOjQGLLolNIqqShDCSZKv_yspIXXNhRI00Wd_0Z1bvE33SOvVSolKVQk9_xdiVZnelR3VCAYbbQcXPXTrzs0lk4rLWjKWVHFCjWjRg3EWB526__DbEz49Pe51d3LCy98mTAgmTsGZ5ce_OnmSzrsQPA7N7PUe_LdUn2YNWbOGrFlD1qSQJf_0UIWl3WP_S_9MVQIvDgBCB2bwYDsdjk4IyQipjlcKaciO6I_lPL3zd8va5LE</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2642649569</pqid></control><display><type>article</type><title>Ulna length to predict height in English and Portuguese patient populations</title><source>MEDLINE</source><source>Springer Nature - Complete Springer Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Barbosa, V M ; Stratton, R J ; Lafuente, E ; Elia, M</creator><creatorcontrib>Barbosa, V M ; Stratton, R J ; Lafuente, E ; Elia, M</creatorcontrib><description>Background/Objective:
This study assessed the extent to which ulna length could be used to predict height and body mass index (BMI) in various groups of English and Portuguese hospitalised patients, and tidal volumes in critically ill patients at risk of requiring ventilatory support.
Subjects/Methods:
Bedside measurements of weight, height and ulna length were made in 507 patients (432 English, 75 Portuguese; 264 men, 243 women) with a mean age of 61.8±18.9 years, height 165.1±9.5 cm and BMI 26.7±5.43 kg/m
2
.
Results:
Ulna length could be measured with ease in all subjects. The intra-observer technical error of measurement in the same subjects was 1%. Within each category of men and women aged <65 years and 65 years and over, there was no significant difference between the English and Portuguese in the intercept or regression coefficients for the ulna–height relationships. A strong relationship was found between predicted and measured height (
r
=0.963, standard error of the estimate 4.6 cm). The overall mean and s.d. of the difference was 0.3±2.7% of height, with no significant difference between English and Portuguese populations. The discrepancy between measured and predicted BMI corresponded to 0.7±5.5% (s.d.) (all subjects) and for ventilatory volumes predicted from height (critically ill subjects only) 0.7±7.1%.
Conclusion:
Height can be predicted from ulna length with precision and ease in a wide range of patient groups, and without the need to use different equations in English and Portuguese populations. The predicted measurements are acceptable in most clinical circumstances.</description><identifier>ISSN: 0954-3007</identifier><identifier>EISSN: 1476-5640</identifier><identifier>DOI: 10.1038/ejcn.2011.177</identifier><identifier>PMID: 21989325</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>Adult ; Aged ; Anatomy & physiology ; Anthropometry - methods ; Arms ; Biological and medical sciences ; Body Height ; Body Mass Index ; Body size ; Body weight ; Bones ; Child development ; Clinical Nutrition ; Critical Illness ; England ; Epidemiology ; Error analysis ; Feeding. Feeding behavior ; Female ; Fundamental and applied biological sciences. Psychology ; Height ; Hospitalization ; Humans ; Internal Medicine ; Male ; Medical sciences ; Medicine ; Medicine & Public Health ; Metabolic Diseases ; Middle Aged ; Minority & ethnic groups ; original-article ; Patients ; Population studies ; Populations ; Portugal ; Public Health ; Reference Values ; Regression coefficients ; Respiration, Artificial ; Standard error ; Tidal Volume ; Ulna ; Ulna - anatomy & histology ; Vertebrates: anatomy and physiology, studies on body, several organs or systems</subject><ispartof>European journal of clinical nutrition, 2012-02, Vol.66 (2), p.209-215</ispartof><rights>Macmillan Publishers Limited 2012</rights><rights>2015 INIST-CNRS</rights><rights>COPYRIGHT 2012 Nature Publishing Group</rights><rights>Macmillan Publishers Limited 2012.</rights><rights>Copyright Nature Publishing Group Feb 2012</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c624t-27ee624aa391ab6483bb6b29ddcb44f5aa5d7153154250ee6b17b5ae5a1fa4783</citedby><cites>FETCH-LOGICAL-c624t-27ee624aa391ab6483bb6b29ddcb44f5aa5d7153154250ee6b17b5ae5a1fa4783</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/ejcn.2011.177$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/ejcn.2011.177$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=25572006$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21989325$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Barbosa, V M</creatorcontrib><creatorcontrib>Stratton, R J</creatorcontrib><creatorcontrib>Lafuente, E</creatorcontrib><creatorcontrib>Elia, M</creatorcontrib><title>Ulna length to predict height in English and Portuguese patient populations</title><title>European journal of clinical nutrition</title><addtitle>Eur J Clin Nutr</addtitle><addtitle>Eur J Clin Nutr</addtitle><description>Background/Objective:
This study assessed the extent to which ulna length could be used to predict height and body mass index (BMI) in various groups of English and Portuguese hospitalised patients, and tidal volumes in critically ill patients at risk of requiring ventilatory support.
Subjects/Methods:
Bedside measurements of weight, height and ulna length were made in 507 patients (432 English, 75 Portuguese; 264 men, 243 women) with a mean age of 61.8±18.9 years, height 165.1±9.5 cm and BMI 26.7±5.43 kg/m
2
.
Results:
Ulna length could be measured with ease in all subjects. The intra-observer technical error of measurement in the same subjects was 1%. Within each category of men and women aged <65 years and 65 years and over, there was no significant difference between the English and Portuguese in the intercept or regression coefficients for the ulna–height relationships. A strong relationship was found between predicted and measured height (
r
=0.963, standard error of the estimate 4.6 cm). The overall mean and s.d. of the difference was 0.3±2.7% of height, with no significant difference between English and Portuguese populations. The discrepancy between measured and predicted BMI corresponded to 0.7±5.5% (s.d.) (all subjects) and for ventilatory volumes predicted from height (critically ill subjects only) 0.7±7.1%.
Conclusion:
Height can be predicted from ulna length with precision and ease in a wide range of patient groups, and without the need to use different equations in English and Portuguese populations. The predicted measurements are acceptable in most clinical circumstances.</description><subject>Adult</subject><subject>Aged</subject><subject>Anatomy & physiology</subject><subject>Anthropometry - methods</subject><subject>Arms</subject><subject>Biological and medical sciences</subject><subject>Body Height</subject><subject>Body Mass Index</subject><subject>Body size</subject><subject>Body weight</subject><subject>Bones</subject><subject>Child development</subject><subject>Clinical Nutrition</subject><subject>Critical Illness</subject><subject>England</subject><subject>Epidemiology</subject><subject>Error analysis</subject><subject>Feeding. Feeding behavior</subject><subject>Female</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Height</subject><subject>Hospitalization</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metabolic Diseases</subject><subject>Middle Aged</subject><subject>Minority & ethnic groups</subject><subject>original-article</subject><subject>Patients</subject><subject>Population studies</subject><subject>Populations</subject><subject>Portugal</subject><subject>Public Health</subject><subject>Reference Values</subject><subject>Regression coefficients</subject><subject>Respiration, Artificial</subject><subject>Standard error</subject><subject>Tidal Volume</subject><subject>Ulna</subject><subject>Ulna - anatomy & histology</subject><subject>Vertebrates: anatomy and physiology, studies on body, several organs or systems</subject><issn>0954-3007</issn><issn>1476-5640</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp90suPlDAcB3BiNO7s6tGrIRofF8Y-KKXHzWZ9xE304J7JD_gBnXRabMvB_97ijo6a0UBC0376-vHNsieUbCnh9RvcdXbLCKVbKuW9bENLWRWiKsn9bEOUKAtOiDzLzkPYEZIGJXuYnTGqasWZ2GQfb42F3KAd45RHl88ee93FfEI9TjHXNr-2o9FhysH2-Wfn4zIuGDCfIWq0MZ_dvJjUdjY8yh4MYAI-Pnwvstu311-u3hc3n959uLq8KbqKlbFgEjE1ALii0FZlzdu2apnq-64ty0EAiF5SwakomSDJtlS2AlAAHaCUNb_IXt2tO3v3NR0mNnsdOjQGLLolNIqqShDCSZKv_yspIXXNhRI00Wd_0Z1bvE33SOvVSolKVQk9_xdiVZnelR3VCAYbbQcXPXTrzs0lk4rLWjKWVHFCjWjRg3EWB526__DbEz49Pe51d3LCy98mTAgmTsGZ5ce_OnmSzrsQPA7N7PUe_LdUn2YNWbOGrFlD1qSQJf_0UIWl3WP_S_9MVQIvDgBCB2bwYDsdjk4IyQipjlcKaciO6I_lPL3zd8va5LE</recordid><startdate>20120201</startdate><enddate>20120201</enddate><creator>Barbosa, V M</creator><creator>Stratton, R J</creator><creator>Lafuente, E</creator><creator>Elia, M</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QP</scope><scope>7RV</scope><scope>7TK</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7U1</scope><scope>7U2</scope><scope>C1K</scope><scope>7X8</scope></search><sort><creationdate>20120201</creationdate><title>Ulna length to predict height in English and Portuguese patient populations</title><author>Barbosa, V M ; Stratton, R J ; Lafuente, E ; Elia, M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c624t-27ee624aa391ab6483bb6b29ddcb44f5aa5d7153154250ee6b17b5ae5a1fa4783</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Anatomy & physiology</topic><topic>Anthropometry - methods</topic><topic>Arms</topic><topic>Biological and medical sciences</topic><topic>Body Height</topic><topic>Body Mass Index</topic><topic>Body size</topic><topic>Body weight</topic><topic>Bones</topic><topic>Child development</topic><topic>Clinical Nutrition</topic><topic>Critical Illness</topic><topic>England</topic><topic>Epidemiology</topic><topic>Error analysis</topic><topic>Feeding. Feeding behavior</topic><topic>Female</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Height</topic><topic>Hospitalization</topic><topic>Humans</topic><topic>Internal Medicine</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metabolic Diseases</topic><topic>Middle Aged</topic><topic>Minority & ethnic groups</topic><topic>original-article</topic><topic>Patients</topic><topic>Population studies</topic><topic>Populations</topic><topic>Portugal</topic><topic>Public Health</topic><topic>Reference Values</topic><topic>Regression coefficients</topic><topic>Respiration, Artificial</topic><topic>Standard error</topic><topic>Tidal Volume</topic><topic>Ulna</topic><topic>Ulna - anatomy & histology</topic><topic>Vertebrates: anatomy and physiology, studies on body, several organs or systems</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Barbosa, V M</creatorcontrib><creatorcontrib>Stratton, R J</creatorcontrib><creatorcontrib>Lafuente, E</creatorcontrib><creatorcontrib>Elia, M</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Proquest Nursing & Allied Health Source</collection><collection>Neurosciences Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>Environmental Sciences and Pollution Management</collection><collection>MEDLINE - Academic</collection><jtitle>European journal of clinical nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Barbosa, V M</au><au>Stratton, R J</au><au>Lafuente, E</au><au>Elia, M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ulna length to predict height in English and Portuguese patient populations</atitle><jtitle>European journal of clinical nutrition</jtitle><stitle>Eur J Clin Nutr</stitle><addtitle>Eur J Clin Nutr</addtitle><date>2012-02-01</date><risdate>2012</risdate><volume>66</volume><issue>2</issue><spage>209</spage><epage>215</epage><pages>209-215</pages><issn>0954-3007</issn><eissn>1476-5640</eissn><abstract>Background/Objective:
This study assessed the extent to which ulna length could be used to predict height and body mass index (BMI) in various groups of English and Portuguese hospitalised patients, and tidal volumes in critically ill patients at risk of requiring ventilatory support.
Subjects/Methods:
Bedside measurements of weight, height and ulna length were made in 507 patients (432 English, 75 Portuguese; 264 men, 243 women) with a mean age of 61.8±18.9 years, height 165.1±9.5 cm and BMI 26.7±5.43 kg/m
2
.
Results:
Ulna length could be measured with ease in all subjects. The intra-observer technical error of measurement in the same subjects was 1%. Within each category of men and women aged <65 years and 65 years and over, there was no significant difference between the English and Portuguese in the intercept or regression coefficients for the ulna–height relationships. A strong relationship was found between predicted and measured height (
r
=0.963, standard error of the estimate 4.6 cm). The overall mean and s.d. of the difference was 0.3±2.7% of height, with no significant difference between English and Portuguese populations. The discrepancy between measured and predicted BMI corresponded to 0.7±5.5% (s.d.) (all subjects) and for ventilatory volumes predicted from height (critically ill subjects only) 0.7±7.1%.
Conclusion:
Height can be predicted from ulna length with precision and ease in a wide range of patient groups, and without the need to use different equations in English and Portuguese populations. The predicted measurements are acceptable in most clinical circumstances.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>21989325</pmid><doi>10.1038/ejcn.2011.177</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0954-3007 |
| ispartof | European journal of clinical nutrition, 2012-02, Vol.66 (2), p.209-215 |
| issn | 0954-3007 1476-5640 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_919650030 |
| source | MEDLINE; Springer Nature - Complete Springer Journals; EZB-FREE-00999 freely available EZB journals |
| subjects | Adult Aged Anatomy & physiology Anthropometry - methods Arms Biological and medical sciences Body Height Body Mass Index Body size Body weight Bones Child development Clinical Nutrition Critical Illness England Epidemiology Error analysis Feeding. Feeding behavior Female Fundamental and applied biological sciences. Psychology Height Hospitalization Humans Internal Medicine Male Medical sciences Medicine Medicine & Public Health Metabolic Diseases Middle Aged Minority & ethnic groups original-article Patients Population studies Populations Portugal Public Health Reference Values Regression coefficients Respiration, Artificial Standard error Tidal Volume Ulna Ulna - anatomy & histology Vertebrates: anatomy and physiology, studies on body, several organs or systems |
| title | Ulna length to predict height in English and Portuguese patient populations |
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