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

dc.contributor.authorLima, Severina Carla Vieira Cunha
dc.contributor.authorLima, Marcos Felipe Silva de
dc.contributor.authorCabral, Natália Louise de Araújo
dc.contributor.authorOliveira, Larissa Praça de
dc.contributor.authorLiberalino, Laura Camila Pereira
dc.contributor.authorPedrosa, Lucia de Fátima Campos
dc.contributor.authorLima, Kenio Costa de
dc.contributor.authorLyra, Clélia de Oliveira
dc.contributor.authorIDhttps://orcid.org/0000-0001-8268-1986pt_BR
dc.date.accessioned2025-02-07T18:03:01Z
dc.date.available2025-02-07T18:03:01Z
dc.date.issued2023
dc.description.resumoBackground: 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.pt_BR
dc.identifier.citationLIMA, 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, v. 18, p. e0280541, 2023. DOI: https://doi.org/10.1371/journal.pone.0280541. Disponível em: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0280541. Acesso em 29 nov. 2024.pt_BR
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0280541
dc.identifier.urihttps://repositorio.ufrn.br/handle/123456789/62580
dc.languageenpt_BR
dc.publisherPlos onept_BR
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectWeight measurementpt_BR
dc.subjectNutritional anthropometrypt_BR
dc.subjectOlder adultspt_BR
dc.subjectPredictive equationspt_BR
dc.subjectCircumference measurementspt_BR
dc.titleDevelopment and validation of predictive workable weight equations for Brazilian older adult residents in long-term care institutionspt_BR
dc.typearticlept_BR

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