Agreement of body weight of older adults measured on digital chair scale and mechanical platform scale
Palavras-chave:
Aged, Anthropometry, Body weight, Hospitalization, Nutrition assessmentResumo
Objective
The aim of the study was to evaluate the agreement between the weight of older adults measured on a chair scale and a platform scale.
Methods
This is a cross-sectional study. We evaluated 131 older adults (≥60 years old), walk-in patients, admitted to a university hospital. Weight was measured on a digital chair scale model MS5811 (Charder® brand) and after on a mechanical platform scale (Filizola® brand). For the agreement analysis, the intraclass correlation coefficient and the Bland-Altman plot were used.
Results
Most of the sample consisted of males individuals (57.3%; n= 75). The average age was 70.47±7.59 years (60-96 years old). Measured by both methods, weight showed normal distribution. The average weight measured was 67.99±14.03 kg on the chair scale and 68.04±14.02 kg on the platform scale. The intraclass correlation coefficient of weight measured by the two methods was 1.00 (IC95%=1.00-1.00; p<0.001). In the Bland-Altman plot, the mean bias for the weight measured on the chair scale and the platform scale was 0.049 (IC95%=-0.011 to 0.110; p=0.1084).
Conclusion
The agreement between the weight measured on a chair scale and on a platform scale was almost excellent. Thus, the chair scale can be used as an alternative method of measuring weight, especially in the older adults with postural instability, mobility restrictions or immobility syndrome.
Referências
Ministério da Saúde (Brasil). Secretaria de Atenção à Saúde. Departamento de Ações Programáticas Estratégicas. Manual para utilização da caderneta de saúde da pessoa idosa. Brasília: Ministério; 2018 [cited 2020 May 10]. Available from: https://bvsms.saude.gov.br/bvs/publicacoes/manual_utilizacao_caderneta_pessoa_idosa.pdf
Guigoz Y, Vellas B. Nutritional assessment in older adults: MNA® 25 years of a screening tool & a reference standard for care and research; what next? J Nutr Health Aging. 2021 [cited 2021 Apr 19];25(4):528-83. Available from: https://link.springer.com/article/10.1007%2Fs12603-021-1601-y
Podmelle RM, Zimmermann RD. Fatores influentes no estilo de vida e na saúde de idosos brasileiros: uma revisão integrativa. Estud Interdiscipl Envelhec. 2018 [2020 January 22];23(1):103-23. Available from: https://seer.ufrgs.br/RevEnvelhecer/article/view/74679
Cordeiro P, Martins M. Mortalidade hospitalar em pacientes idosos no Sistema Único de Saúde, região Sudeste. Rev Saúde Pública. 20180;52:1-13. https://doi.org/10.11606/S1518-8787.2018052000146
Cruz LD, Santos AJAO. Avaliação antropométrica e percentual de gordura em idosos sem doença crônica não transmissível e não acamados, internados no hospital regional de Itabaiana. HU Rev. 2016 [2020 January 22]42(3):211-6. Available from: https://periodicos.ufjf.br/index.php/hurevista/article/view/2548
I Consenso Brasileiro de Nutrição e Disfagia em Idosos Hospitalizados, 1. Barueri, SP: Minha Editora, 2011 [cited 2021 April 19]. Available from: https://sbgg.org.br/wp-content/uploads/2014/10/Consenso_Brasileiro_de_Nutricao1.pdf
Salgado MC, Souza MFC, Pires CL, Souza MKB, Santos KPC, Santos KR, et al. Precisão das equações preditivas de peso corporal e altura: proposta de um percentual de ajuste. Braspen J. 2017 [cited 2020 January 22];32(4):347-52. Available from: http://arquivos.braspen.org/journal/out-dez-2017/09-Precisao-das-equacoes.pdf
Ministério da Saúde (Brasil). Orientações para a coleta e análise de dados antropométricos em serviços de saúde: Norma Técnica do Sistema de Vigilância Alimentar e Nutricional: SISVAN/Ministério da Saúde, Secretaria de Atenção à Saúde, Departamento de Atenção Básica. Brasília: Ministério; 2011 [cited 2021 Apr 21];76. Available from: https://bvsms.saude.gov.br/bvs/publicacoes/orientacoes_coleta_analise_dados_antropometricos.pdf
Esparza-Ros F, Vaquero-Cristóbal R, Marfell-Jones M. Internacional protocolo for anthropometric assesment. Murcia, Spain: Inter Soc Adv Kinanthropometry, 2019.
Waitzberg DL, Caiaffa WT, Correia MI. Hospital malnutrition: the Brazilian national survey (IBRANUTRI): a study of 4000 patients. Nutrition. 2001;17(7-8):573-80. http://doi:10.1016/s0899-9007(01)00573-1
Coelho MASC, Pereira RS, Coelho KSC. Parte 2: Antropometria e Composição Corporal. In: Frank AA, Soares EA. Nutrição no Envelhecimento. São Paulo: Atheneu; 2002.
Freitag E, Edgecombe G, Baldwin I, Cottier B, Heland M. Determination of body weight and height measurement for critically ill patients admitted to the intensive care unit: A quality improvement project. Aust Crit Care. 2010 [cited 2020 January 22];23(4):197-207. https://doi.org/10.1016/j.aucc.2010.04.003
Annes MLF. Validação de equações para estimativa de peso em idosos hospitalizados e institucionalizados [dissertação]. Porto Alegre: Pontifícia Universidade Católica do Rio Grande do Sul; 2018.
Gerl H, Miko A, Nelson M, Godaire L. Are in-bed eletronic weights recorded in the medical record accurate? Medsurg Nurs. 2016 [cited 2020 May 10];25(3):177-81. Available from: https://pubmed.ncbi.nlm.nih.gov/27522846/
Charder®. MS5810/5811 medical scale: user manual. Taichung: Charder Electronic Co; 2017 [cited 2010 January 10]. Available from: https://www.chardermedical.com/upload_files/Use-Manual/IN-1147_9097L_MS5810_5811__CEMDD__-_.pdf
Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33(1):159-74. https://doi.org/10.2307/2529310
Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986 [cited 2020 January 22];327(8476):307-10. https://doi.org/10.1016/S0140-6736(86)90837-8
Gerke O. Reporting standards for a Bland–Altman agreement snalysis: a review of methodological reviews. Diagnostics. 2020;10(5):334. https://doi.org/10.3390/diagnostics10050334
Hirakata VN, Camey SA. Análise de concordância entre métodos de Bland-Altman. Rev HCPA. 2009 [cited 2021 Jun 17];29(3):261-8. Available from: https://seer.ufrgs.br/hcpa/article/view/11727/7021
Ministério da Saúde (Brasil). Conselho Nacional de Saúde. Resolução n. 466, de 12 de dezembro de 2012. Dispõe sobre as diretrizes e normas regulamentadoras de pesquisas envolvendo seres humanos. Brasília: Ministério; 2012 [cited 2020 May 10]. Available from: https://bvsms.saude.gov.br/bvs/saudelegis/cns/2013/res0466_12_12_2012.html
Silverman JJ, Ikefugi AW. A portable chair-scale for hospital use. JAMA. 1957;165(7):826-7. https://doi.org/10.1001/jama.1957.72980250001014
Owen BD, Garg A. Reducing back stress through an ergonomic approach: weighing a patient. Int J Nurs Stud. 1994;31(6):511-9. https://doi.org/10.1016/0020-7489(94)90061-2
Eastwood GM. Evaluating the reliability of recorded fluid balance to approximate body weight change in patients undergoing cardiac surgery. Heart Lung. 2006;35(1):27-33. https://doi.org/10.1016/j.hrtlng.2005.06.001
Darnis S, Fareau N, Corallo CE, Poole S, Dooley MJ, Cheng AC. Estimation of body weight in hospitalized patients. Q J Med. 2012 [cited 2020 January 22];105(8):769-74. https://doi.org/10.1093/qjmed/hcs060
Ministério da Indústria e do Comércio (Brasil). Instituto Nacional de Metrologia, Normalização e Qualidade Industrial. Portaria INMETRO n. 236, de 22 de dezembro de 1994. Brasília: INMETRO; 1994 [cited 2020 May 10]. Available from: http://www.inmetro.gov.br/rtac/pdf/rtac000180.pdf
Downloads
Publicado
Como Citar
Edição
Seção
Licença
Copyright (c) 2022 Maria Luiza Freitas ANNES, Fernanda Beck TABAJARA, Rosane Dias da ROSA, Rita MATTIELLO, Ana Luisa Sant’Anna ALVES, Carla Helena Augustin SCHWANKE
Este trabalho está licenciado sob uma licença Creative Commons Attribution 4.0 International License.