Development and validation of predictive workable weight equations for Brazilian older adult residents in long-term care institutions

Background: Weight measurement is important in the nutritional anthropometric monitoring of older adults. When this measurement is not possible, estimates may be used. Aim: Developing and validating weight predictive equations for older adult residents in long-term care institutions in Brazil. Subje...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Principais autores: Lyra, Clelia de Oliveira, Lima, Marcos Felipe Silva de, Cabral, Natália Louise de Araújo, Oliveira, Larissa Praça de, Liberalino, Laura Camila Pereira, Lima, Severina Carla Vieira Cunha, Pedrosa, Lucia de Fátima Campos, Lima, Kenio Costa de
Formato: article
Idioma:English
Publicado em: Plos One
Assuntos:
Older adults
Predictive equations
Long-term care institutions
Anthropometric measurements
Endereço do item:https://repositorio.ufrn.br/handle/123456789/57876
http://dx.doi.org/10.1371/journal.pone.0280541
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
id ri-123456789-57876
record_format dspace
spelling ri-123456789-578762024-03-18T19:52:49Z Development and validation of predictive workable weight equations for Brazilian older adult residents in long-term care institutions Lyra, Clelia de Oliveira Lima, Marcos Felipe Silva de Cabral, Natália Louise de Araújo Oliveira, Larissa Praça de Liberalino, Laura Camila Pereira Lima, Severina Carla Vieira Cunha Pedrosa, Lucia de Fátima Campos Lima, Kenio Costa de Older adults Predictive equations Long-term care institutions Anthropometric measurements Background: Weight measurement is important in the nutritional anthropometric monitoring of older adults. When this measurement is not possible, estimates may be used. Aim: Developing and validating weight predictive equations for older adult residents in long-term care institutions in Brazil. Subjects and methods: The sample comprised 393 older adult residents in long-term care institutions. Data were collected in two stages, with 315 older adults in the first and 78 in the second. We have measured the arm, calf, and waist circumferences, as well as the triceps and subscapular skinfold and knee height. Multiple linear regression was used to develop the equations, which were evaluated through the coefficient of determination, standard error of estimation, Akaike information criterion, intraclass correlation coefficient (ICC), and Bland-Altmann plot. Results: Five models with different anthropometric measurements were developed, (1) arm circumference as a discriminant variable (ICC: 0.842); (2) best statistical fit for men and women (ICC: 0.874) and its stratification by sex (3) (ICC: 0.876); (4) easy-to-perform measurement for men and women (ICC: 0.842) and its stratification by sex (5) (ICC: 0.828). Conclusion: Five models for estimating the weight of older adult residents in long-term care institutions were developed and validated. The choice to use the models should be based on the physical capacity of the older adults to be evaluated 2024-03-18T19:52:49Z 2024-03-18T19:52:49Z 2023-01 article LIMA, Marcos Felipe Silva de; CABRAL, Natália Louise de Araújo; OLIVEIRA, Larissa Praça de; LIBERALINO, Laura Camila Pereira; LIMA, Severina Carla Vieira Cunha; PEDROSA, Lucia de Fátima Campos; LIMA, Kenio Costa de; LYRA, Clélia de Oliveira. Development and validation of predictive workable weight equations for Brazilian older adult residents in long-term care institutions. Plos One, [S.l.], v. 18, n. 1, p. 1-10, 20 jan. 2023. DOI: 10.1371/journal.pone.0280541. Disponível em: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0280541. Acesso em: 01 mar. 2024. https://repositorio.ufrn.br/handle/123456789/57876 http://dx.doi.org/10.1371/journal.pone.0280541 en Attribution 3.0 Brazil http://creativecommons.org/licenses/by/3.0/br/ application/pdf Plos One
institution Repositório Institucional
collection RI - UFRN
language English
topic Older adults
Predictive equations
Long-term care institutions
Anthropometric measurements
spellingShingle Older adults
Predictive equations
Long-term care institutions
Anthropometric measurements
Lyra, Clelia de Oliveira
Lima, Marcos Felipe Silva de
Cabral, Natália Louise de Araújo
Oliveira, Larissa Praça de
Liberalino, Laura Camila Pereira
Lima, Severina Carla Vieira Cunha
Pedrosa, Lucia de Fátima Campos
Lima, Kenio Costa de
Development and validation of predictive workable weight equations for Brazilian older adult residents in long-term care institutions
description Background: Weight measurement is important in the nutritional anthropometric monitoring of older adults. When this measurement is not possible, estimates may be used. Aim: Developing and validating weight predictive equations for older adult residents in long-term care institutions in Brazil. Subjects and methods: The sample comprised 393 older adult residents in long-term care institutions. Data were collected in two stages, with 315 older adults in the first and 78 in the second. We have measured the arm, calf, and waist circumferences, as well as the triceps and subscapular skinfold and knee height. Multiple linear regression was used to develop the equations, which were evaluated through the coefficient of determination, standard error of estimation, Akaike information criterion, intraclass correlation coefficient (ICC), and Bland-Altmann plot. Results: Five models with different anthropometric measurements were developed, (1) arm circumference as a discriminant variable (ICC: 0.842); (2) best statistical fit for men and women (ICC: 0.874) and its stratification by sex (3) (ICC: 0.876); (4) easy-to-perform measurement for men and women (ICC: 0.842) and its stratification by sex (5) (ICC: 0.828). Conclusion: Five models for estimating the weight of older adult residents in long-term care institutions were developed and validated. The choice to use the models should be based on the physical capacity of the older adults to be evaluated
format article
author Lyra, Clelia de Oliveira
Lima, Marcos Felipe Silva de
Cabral, Natália Louise de Araújo
Oliveira, Larissa Praça de
Liberalino, Laura Camila Pereira
Lima, Severina Carla Vieira Cunha
Pedrosa, Lucia de Fátima Campos
Lima, Kenio Costa de
author_facet Lyra, Clelia de Oliveira
Lima, Marcos Felipe Silva de
Cabral, Natália Louise de Araújo
Oliveira, Larissa Praça de
Liberalino, Laura Camila Pereira
Lima, Severina Carla Vieira Cunha
Pedrosa, Lucia de Fátima Campos
Lima, Kenio Costa de
author_sort Lyra, Clelia de Oliveira
title Development and validation of predictive workable weight equations for Brazilian older adult residents in long-term care institutions
title_short Development and validation of predictive workable weight equations for Brazilian older adult residents in long-term care institutions
title_full Development and validation of predictive workable weight equations for Brazilian older adult residents in long-term care institutions
title_fullStr Development and validation of predictive workable weight equations for Brazilian older adult residents in long-term care institutions
title_full_unstemmed Development and validation of predictive workable weight equations for Brazilian older adult residents in long-term care institutions
title_sort development and validation of predictive workable weight equations for brazilian older adult residents in long-term care institutions
publisher Plos One
publishDate 2024
url https://repositorio.ufrn.br/handle/123456789/57876
http://dx.doi.org/10.1371/journal.pone.0280541
work_keys_str_mv AT lyracleliadeoliveira developmentandvalidationofpredictiveworkableweightequationsforbrazilianolderadultresidentsinlongtermcareinstitutions
AT limamarcosfelipesilvade developmentandvalidationofpredictiveworkableweightequationsforbrazilianolderadultresidentsinlongtermcareinstitutions
AT cabralnatalialouisedearaujo developmentandvalidationofpredictiveworkableweightequationsforbrazilianolderadultresidentsinlongtermcareinstitutions
AT oliveiralarissapracade developmentandvalidationofpredictiveworkableweightequationsforbrazilianolderadultresidentsinlongtermcareinstitutions
AT liberalinolauracamilapereira developmentandvalidationofpredictiveworkableweightequationsforbrazilianolderadultresidentsinlongtermcareinstitutions
AT limaseverinacarlavieiracunha developmentandvalidationofpredictiveworkableweightequationsforbrazilianolderadultresidentsinlongtermcareinstitutions
AT pedrosaluciadefatimacampos developmentandvalidationofpredictiveworkableweightequationsforbrazilianolderadultresidentsinlongtermcareinstitutions
AT limakeniocostade developmentandvalidationofpredictiveworkableweightequationsforbrazilianolderadultresidentsinlongtermcareinstitutions
_version_ 1797696751109406720

Registros relacionados