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Estimating the height of elderly nursing home residents: Which equation to use?

Estimating equations can be used when measuring the height of elderly persons is not possible. However, such methods are not always applicable; therefore, it is necessary to consider several aspects, such as sex, age, and ethnicity of the studied population to generate these equations. This study ai...

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Autores principales: de Lima, Marcos Felipe Silva, de Oliveira, Larissa Praça, Cabral, Natália Louise de Araújo, Liberalino, Laura Camila Pereira, Bagni, Ursula Viana, de Lima, Kenio Costa, Lyra, Clélia de Oliveira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6198959/
https://www.ncbi.nlm.nih.gov/pubmed/30352073
http://dx.doi.org/10.1371/journal.pone.0205642
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author de Lima, Marcos Felipe Silva
de Oliveira, Larissa Praça
Cabral, Natália Louise de Araújo
Liberalino, Laura Camila Pereira
Bagni, Ursula Viana
de Lima, Kenio Costa
Lyra, Clélia de Oliveira
author_facet de Lima, Marcos Felipe Silva
de Oliveira, Larissa Praça
Cabral, Natália Louise de Araújo
Liberalino, Laura Camila Pereira
Bagni, Ursula Viana
de Lima, Kenio Costa
Lyra, Clélia de Oliveira
author_sort de Lima, Marcos Felipe Silva
collection PubMed
description Estimating equations can be used when measuring the height of elderly persons is not possible. However, such methods are not always applicable; therefore, it is necessary to consider several aspects, such as sex, age, and ethnicity of the studied population to generate these equations. This study aimed to compare and validate methods of estimating the height of the Brazilian elderly nursing home residents. An accuracy study was conducted with 168 elderly persons. A total of 23 equations were quantitatively evaluated by plotting the differences in means, the Student’s t-test for paired samples, the coefficient of determination (R(2)), the root-mean-square error (RMSE), the interclass correlation coefficient (ICC), and by graphic analysis of the residuals. A significance value of p <0.05 was adopted. An equation was considered applicable when it had R(2) >0.7, the lowest RMSE among the equations evaluated, ICC >0.7, and a confidence interval of 95%, with the smallest difference between the upper and lower limits. A greater mean height was noted among younger elderly persons and elderly men compared to up to 80 years and women elderly. Quantitative analysis revealed that equation for Puerto Ricans, using knee height and age, was the most applicable for the overall population (ICC = 0.802). The same equation was applicable for the elderly Brazilian male participants (ICC = 0.838) and for those aged 60–69 years (ICC = 0.895). None of the equations used were applicable for the height estimation of elderly women or individuals aged 70 years or more.
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spelling pubmed-61989592018-11-19 Estimating the height of elderly nursing home residents: Which equation to use? de Lima, Marcos Felipe Silva de Oliveira, Larissa Praça Cabral, Natália Louise de Araújo Liberalino, Laura Camila Pereira Bagni, Ursula Viana de Lima, Kenio Costa Lyra, Clélia de Oliveira PLoS One Research Article Estimating equations can be used when measuring the height of elderly persons is not possible. However, such methods are not always applicable; therefore, it is necessary to consider several aspects, such as sex, age, and ethnicity of the studied population to generate these equations. This study aimed to compare and validate methods of estimating the height of the Brazilian elderly nursing home residents. An accuracy study was conducted with 168 elderly persons. A total of 23 equations were quantitatively evaluated by plotting the differences in means, the Student’s t-test for paired samples, the coefficient of determination (R(2)), the root-mean-square error (RMSE), the interclass correlation coefficient (ICC), and by graphic analysis of the residuals. A significance value of p <0.05 was adopted. An equation was considered applicable when it had R(2) >0.7, the lowest RMSE among the equations evaluated, ICC >0.7, and a confidence interval of 95%, with the smallest difference between the upper and lower limits. A greater mean height was noted among younger elderly persons and elderly men compared to up to 80 years and women elderly. Quantitative analysis revealed that equation for Puerto Ricans, using knee height and age, was the most applicable for the overall population (ICC = 0.802). The same equation was applicable for the elderly Brazilian male participants (ICC = 0.838) and for those aged 60–69 years (ICC = 0.895). None of the equations used were applicable for the height estimation of elderly women or individuals aged 70 years or more. Public Library of Science 2018-10-23 /pmc/articles/PMC6198959/ /pubmed/30352073 http://dx.doi.org/10.1371/journal.pone.0205642 Text en © 2018 Lima et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
de Lima, Marcos Felipe Silva
de Oliveira, Larissa Praça
Cabral, Natália Louise de Araújo
Liberalino, Laura Camila Pereira
Bagni, Ursula Viana
de Lima, Kenio Costa
Lyra, Clélia de Oliveira
Estimating the height of elderly nursing home residents: Which equation to use?
title Estimating the height of elderly nursing home residents: Which equation to use?
title_full Estimating the height of elderly nursing home residents: Which equation to use?
title_fullStr Estimating the height of elderly nursing home residents: Which equation to use?
title_full_unstemmed Estimating the height of elderly nursing home residents: Which equation to use?
title_short Estimating the height of elderly nursing home residents: Which equation to use?
title_sort estimating the height of elderly nursing home residents: which equation to use?
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6198959/
https://www.ncbi.nlm.nih.gov/pubmed/30352073
http://dx.doi.org/10.1371/journal.pone.0205642
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