Development and validation of predictive workable weight equations for Brazilian older adult residents in long-term care institutions
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRN |
Texto Completo: | https://repositorio.ufrn.br/handle/123456789/57876 http://dx.doi.org/10.1371/journal.pone.0280541 |
Resumo: | 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 |
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Lyra, Clelia de OliveiraLima, Marcos Felipe Silva deCabral, Natália Louise de AraújoOliveira, Larissa Praça deLiberalino, Laura Camila PereiraLima, Severina Carla Vieira CunhaPedrosa, Lucia de Fátima CamposLima, Kenio Costa de2024-03-18T19:52:49Z2024-03-18T19:52:49Z2023-01LIMA, 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/123456789/57876http://dx.doi.org/10.1371/journal.pone.0280541Plos OneAttribution 3.0 Brazilhttp://creativecommons.org/licenses/by/3.0/br/info:eu-repo/semantics/openAccessOlder adultsPredictive equationsLong-term care institutionsAnthropometric measurementsDevelopment and validation of predictive workable weight equations for Brazilian older adult residents in long-term care institutionsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleBackground: 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 evaluatedengreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNORIGINALDevelopmentValidation_Lima_2023.pdfDevelopmentValidation_Lima_2023.pdfapplication/pdf593942https://repositorio.ufrn.br/bitstream/123456789/57876/1/DevelopmentValidation_Lima_2023.pdf2970e8720046d4909aa118e6c0b00aa6MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8914https://repositorio.ufrn.br/bitstream/123456789/57876/2/license_rdf4d2950bda3d176f570a9f8b328dfbbefMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81484https://repositorio.ufrn.br/bitstream/123456789/57876/3/license.txte9597aa2854d128fd968be5edc8a28d9MD53123456789/578762024-03-18 16:52:49.645oai:https://repositorio.ufrn.br:123456789/57876Tk9OLUVYQ0xVU0lWRSBESVNUUklCVVRJT04gTElDRU5TRQoKCkJ5IHNpZ25pbmcgYW5kIGRlbGl2ZXJpbmcgdGhpcyBsaWNlbnNlLCBNci4gKGF1dGhvciBvciBjb3B5cmlnaHQgaG9sZGVyKToKCgphKSBHcmFudHMgdGhlIFVuaXZlcnNpZGFkZSBGZWRlcmFsIFJpbyBHcmFuZGUgZG8gTm9ydGUgdGhlIG5vbi1leGNsdXNpdmUgcmlnaHQgb2YKcmVwcm9kdWNlLCBjb252ZXJ0IChhcyBkZWZpbmVkIGJlbG93KSwgY29tbXVuaWNhdGUgYW5kIC8gb3IKZGlzdHJpYnV0ZSB0aGUgZGVsaXZlcmVkIGRvY3VtZW50IChpbmNsdWRpbmcgYWJzdHJhY3QgLyBhYnN0cmFjdCkgaW4KZGlnaXRhbCBvciBwcmludGVkIGZvcm1hdCBhbmQgaW4gYW55IG1lZGl1bS4KCmIpIERlY2xhcmVzIHRoYXQgdGhlIGRvY3VtZW50IHN1Ym1pdHRlZCBpcyBpdHMgb3JpZ2luYWwgd29yaywgYW5kIHRoYXQKeW91IGhhdmUgdGhlIHJpZ2h0IHRvIGdyYW50IHRoZSByaWdodHMgY29udGFpbmVkIGluIHRoaXMgbGljZW5zZS4gRGVjbGFyZXMKdGhhdCB0aGUgZGVsaXZlcnkgb2YgdGhlIGRvY3VtZW50IGRvZXMgbm90IGluZnJpbmdlLCBhcyBmYXIgYXMgaXQgaXMKdGhlIHJpZ2h0cyBvZiBhbnkgb3RoZXIgcGVyc29uIG9yIGVudGl0eS4KCmMpIElmIHRoZSBkb2N1bWVudCBkZWxpdmVyZWQgY29udGFpbnMgbWF0ZXJpYWwgd2hpY2ggZG9lcyBub3QKcmlnaHRzLCBkZWNsYXJlcyB0aGF0IGl0IGhhcyBvYnRhaW5lZCBhdXRob3JpemF0aW9uIGZyb20gdGhlIGhvbGRlciBvZiB0aGUKY29weXJpZ2h0IHRvIGdyYW50IHRoZSBVbml2ZXJzaWRhZGUgRmVkZXJhbCBkbyBSaW8gR3JhbmRlIGRvIE5vcnRlIHRoZSByaWdodHMgcmVxdWlyZWQgYnkgdGhpcyBsaWNlbnNlLCBhbmQgdGhhdCB0aGlzIG1hdGVyaWFsIHdob3NlIHJpZ2h0cyBhcmUgb2YKdGhpcmQgcGFydGllcyBpcyBjbGVhcmx5IGlkZW50aWZpZWQgYW5kIHJlY29nbml6ZWQgaW4gdGhlIHRleHQgb3IKY29udGVudCBvZiB0aGUgZG9jdW1lbnQgZGVsaXZlcmVkLgoKSWYgdGhlIGRvY3VtZW50IHN1Ym1pdHRlZCBpcyBiYXNlZCBvbiBmdW5kZWQgb3Igc3VwcG9ydGVkIHdvcmsKYnkgYW5vdGhlciBpbnN0aXR1dGlvbiBvdGhlciB0aGFuIHRoZSBVbml2ZXJzaWRhZGUgRmVkZXJhbCBkbyBSaW8gR3JhbmRlIGRvIE5vcnRlLCBkZWNsYXJlcyB0aGF0IGl0IGhhcyBmdWxmaWxsZWQgYW55IG9ibGlnYXRpb25zIHJlcXVpcmVkIGJ5IHRoZSByZXNwZWN0aXZlIGFncmVlbWVudCBvciBhZ3JlZW1lbnQuCgpUaGUgVW5pdmVyc2lkYWRlIEZlZGVyYWwgZG8gUmlvIEdyYW5kZSBkbyBOb3J0ZSB3aWxsIGNsZWFybHkgaWRlbnRpZnkgaXRzIG5hbWUgKHMpIGFzIHRoZSBhdXRob3IgKHMpIG9yIGhvbGRlciAocykgb2YgdGhlIGRvY3VtZW50J3MgcmlnaHRzCmRlbGl2ZXJlZCwgYW5kIHdpbGwgbm90IG1ha2UgYW55IGNoYW5nZXMsIG90aGVyIHRoYW4gdGhvc2UgcGVybWl0dGVkIGJ5CnRoaXMgbGljZW5zZQo=Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2024-03-18T19:52:49Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false |
dc.title.pt_BR.fl_str_mv |
Development and validation of predictive workable weight equations for Brazilian older adult residents in long-term care institutions |
title |
Development and validation of predictive workable weight equations for Brazilian older adult residents in long-term care institutions |
spellingShingle |
Development and validation of predictive workable weight equations for Brazilian older adult residents in long-term care institutions Lyra, Clelia de Oliveira Older adults Predictive equations Long-term care institutions Anthropometric measurements |
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 |
author |
Lyra, Clelia de Oliveira |
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_role |
author |
author2 |
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 |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
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 |
dc.subject.por.fl_str_mv |
Older adults Predictive equations Long-term care institutions Anthropometric measurements |
topic |
Older adults Predictive equations Long-term care institutions Anthropometric measurements |
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 |
publishDate |
2023 |
dc.date.issued.fl_str_mv |
2023-01 |
dc.date.accessioned.fl_str_mv |
2024-03-18T19:52:49Z |
dc.date.available.fl_str_mv |
2024-03-18T19:52:49Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
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. |
dc.identifier.uri.fl_str_mv |
https://repositorio.ufrn.br/handle/123456789/57876 |
dc.identifier.doi.none.fl_str_mv |
http://dx.doi.org/10.1371/journal.pone.0280541 |
identifier_str_mv |
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. |
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https://repositorio.ufrn.br/handle/123456789/57876 http://dx.doi.org/10.1371/journal.pone.0280541 |
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eng |
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eng |
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Plos One |
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Plos One |
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