Valuation methods and anthropometric bioimpedance: a correlational study in industrial workers
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por eng |
Título da fonte: | Revista de Epidemiologia e Controle de Infecção |
Texto Completo: | https://online.unisc.br/seer/index.php/epidemiologia/article/view/8187 |
Resumo: | Background and Objectives: The assessment of nutritional status by anthropometry and bioelectrical impedance analysis (Bia), emerges as a promising tool more affordable. This study examined the correlation between two body evaluation methods (anthropometric and body composition and visceral fat area by Bia) in industrial workers. Methods: This is a crosssectional, descriptive and correlational character, with 22 industrial workers, the city of Santa Cruz do Sul-RS. For the assessment of body composition were measured anthropometric variables: body mass index (BMI), waist circumference (WC), Risk Waist Hip ratio (WHR), body fat percentage (BF%), fat weight (PG); lean body mass (LBM); bone weight (PO). For body composition used to Bia through the octopolar multi-frequency analyzer (In-Body 720) for the variables: mineral content (CM); fat mass (MG); musculoskeletal mass (MME); BMI; % G; WHR and visceral fat area (VFA). In the statistical analysis we used the Pearson correlation test to evaluate the correlation between the variables. Results: Of the 22 workers, 72.7% were female, mean age of 37.73 years. They had an average BMI of 26,14kg / m², which classifies the sample overweight. In the study, the assessments made by the two techniques showed a strong correlation between BMI and IMCBia variables% F and% GBia, PG and MGBia, MCM and MMEBia, PO and CMBia, DC and AGVBia. Conclusion: Both methods showed obtain similar statistical behavior in body evaluation, suggesting the possibility of using any of these techniques to assess body composition. |
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Valuation methods and anthropometric bioimpedance: a correlational study in industrial workersMétodos de avaliação antropométrica e bioimpedância: um estudo correlacional em trabalhadores da indústriaBackground and Objectives: The assessment of nutritional status by anthropometry and bioelectrical impedance analysis (Bia), emerges as a promising tool more affordable. This study examined the correlation between two body evaluation methods (anthropometric and body composition and visceral fat area by Bia) in industrial workers. Methods: This is a crosssectional, descriptive and correlational character, with 22 industrial workers, the city of Santa Cruz do Sul-RS. For the assessment of body composition were measured anthropometric variables: body mass index (BMI), waist circumference (WC), Risk Waist Hip ratio (WHR), body fat percentage (BF%), fat weight (PG); lean body mass (LBM); bone weight (PO). For body composition used to Bia through the octopolar multi-frequency analyzer (In-Body 720) for the variables: mineral content (CM); fat mass (MG); musculoskeletal mass (MME); BMI; % G; WHR and visceral fat area (VFA). In the statistical analysis we used the Pearson correlation test to evaluate the correlation between the variables. Results: Of the 22 workers, 72.7% were female, mean age of 37.73 years. They had an average BMI of 26,14kg / m², which classifies the sample overweight. In the study, the assessments made by the two techniques showed a strong correlation between BMI and IMCBia variables% F and% GBia, PG and MGBia, MCM and MMEBia, PO and CMBia, DC and AGVBia. Conclusion: Both methods showed obtain similar statistical behavior in body evaluation, suggesting the possibility of using any of these techniques to assess body composition.Justificativa e Objetivos: A avaliação do estado nutricional através da antropometria e bioimpedância elétrica (Bia) surge como uma ferramenta promissora de custo mais acessível. Este estudo verificou a correlação entre dois métodos de avaliação corporal (avaliação antropométrica e da composição corporal e área de gordura visceral por Bia) em trabalhadores da indústria. Métodos: Trata-se de um estudo transversal, de caráter descritivo e correlacional, com 22 trabalhadores industriais, do município de Santa Cruz do Sul-RS. Para a avaliação da composição corporal foram aferidas variáveis antropométricas: Índice de Massa Corporal (IMC), Circunferência da Cintura (CC), Risco Cintura Quadril (RCQ), percentual de gordura corporal (%G), peso de gordura (PG), massa corporal magra (MCM) e peso ósseo (PO). Para a composição corporal, utilizou-se a Bia, através do analisador de multi-frequência octopolar (InBody 720) para as variáveis: conteúdo mineral (CM); massa de gordura (MG); massa musculoesquelética (MME), IMC, %G, RCQ e área de gordura visceral (AGV). Na análise estatística, utilizou-se o teste de correlação de Pearson ou Spearman para avaliar a correlação entre as variáveis. Resultados: Dos 22 trabalhadores, 72,7% eram do sexo feminino, com idade média de 37,73 anos. Apresentaram IMC médio de 26,14kg/m², o que classifica a amostra com sobrepeso. No estudo, as avaliações feitas pelas duas técnicas apresentaram uma forte correlação entre as variáveis IMC e IMCBia, %G e %GBia, PG e MGBia, MCM e MMEBia, PO e CMBia, CC e AGVBia. Conclusão: Os dois métodos mostraram obter comportamento estatístico semelhante na avaliação corporal, sugerindo a possibilidade de utilização de quaisquer destas técnicas para avaliação da composição corporal.Unisc2016-10-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://online.unisc.br/seer/index.php/epidemiologia/article/view/818710.17058/reci.v1i1.8187Revista de Epidemiologia e Controle de Infecção; v. 6 (2016): SUPLEMENTO - II Congresso Brasileiro Interdisciplinar de Promoção da Saúde; 96-107Revista de Epidemiologia e Controle de Infecção; v. 6 (2016): SUPLEMENTO - II Congresso Brasileiro Interdisciplinar de Promoção da Saúde; 96-1072238-3360reponame:Revista de Epidemiologia e Controle de Infecçãoinstname:Universidade de Santa Cruz do Sul (UNISC)instacron:UNISCporenghttps://online.unisc.br/seer/index.php/epidemiologia/article/view/8187/5186https://online.unisc.br/seer/index.php/epidemiologia/article/view/8187/5865Copyright (c) 2016 Revista de Epidemiologia e Controle de Infecçãoinfo:eu-repo/semantics/openAccessCouto, Analie NunesDummel, Kely LisandraRenner, Jane Dagmar PolloPohl, Hildegard Hedwig2017-05-04T03:57:13Zoai:ojs.online.unisc.br:article/8187Revistahttps://online.unisc.br/seer/index.php/epidemiologia/indexONGhttp://online.unisc.br/seer/index.php/epidemiologia/oai||liapossuelo@unisc.br|| julia.kern@hotmail.com||reci.unisc@gmail.com2238-33602238-3360opendoar:2017-05-04T03:57:13Revista de Epidemiologia e Controle de Infecção - Universidade de Santa Cruz do Sul (UNISC)false |
dc.title.none.fl_str_mv |
Valuation methods and anthropometric bioimpedance: a correlational study in industrial workers Métodos de avaliação antropométrica e bioimpedância: um estudo correlacional em trabalhadores da indústria |
title |
Valuation methods and anthropometric bioimpedance: a correlational study in industrial workers |
spellingShingle |
Valuation methods and anthropometric bioimpedance: a correlational study in industrial workers Couto, Analie Nunes |
title_short |
Valuation methods and anthropometric bioimpedance: a correlational study in industrial workers |
title_full |
Valuation methods and anthropometric bioimpedance: a correlational study in industrial workers |
title_fullStr |
Valuation methods and anthropometric bioimpedance: a correlational study in industrial workers |
title_full_unstemmed |
Valuation methods and anthropometric bioimpedance: a correlational study in industrial workers |
title_sort |
Valuation methods and anthropometric bioimpedance: a correlational study in industrial workers |
author |
Couto, Analie Nunes |
author_facet |
Couto, Analie Nunes Dummel, Kely Lisandra Renner, Jane Dagmar Pollo Pohl, Hildegard Hedwig |
author_role |
author |
author2 |
Dummel, Kely Lisandra Renner, Jane Dagmar Pollo Pohl, Hildegard Hedwig |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Couto, Analie Nunes Dummel, Kely Lisandra Renner, Jane Dagmar Pollo Pohl, Hildegard Hedwig |
description |
Background and Objectives: The assessment of nutritional status by anthropometry and bioelectrical impedance analysis (Bia), emerges as a promising tool more affordable. This study examined the correlation between two body evaluation methods (anthropometric and body composition and visceral fat area by Bia) in industrial workers. Methods: This is a crosssectional, descriptive and correlational character, with 22 industrial workers, the city of Santa Cruz do Sul-RS. For the assessment of body composition were measured anthropometric variables: body mass index (BMI), waist circumference (WC), Risk Waist Hip ratio (WHR), body fat percentage (BF%), fat weight (PG); lean body mass (LBM); bone weight (PO). For body composition used to Bia through the octopolar multi-frequency analyzer (In-Body 720) for the variables: mineral content (CM); fat mass (MG); musculoskeletal mass (MME); BMI; % G; WHR and visceral fat area (VFA). In the statistical analysis we used the Pearson correlation test to evaluate the correlation between the variables. Results: Of the 22 workers, 72.7% were female, mean age of 37.73 years. They had an average BMI of 26,14kg / m², which classifies the sample overweight. In the study, the assessments made by the two techniques showed a strong correlation between BMI and IMCBia variables% F and% GBia, PG and MGBia, MCM and MMEBia, PO and CMBia, DC and AGVBia. Conclusion: Both methods showed obtain similar statistical behavior in body evaluation, suggesting the possibility of using any of these techniques to assess body composition. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-10-05 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://online.unisc.br/seer/index.php/epidemiologia/article/view/8187 10.17058/reci.v1i1.8187 |
url |
https://online.unisc.br/seer/index.php/epidemiologia/article/view/8187 |
identifier_str_mv |
10.17058/reci.v1i1.8187 |
dc.language.iso.fl_str_mv |
por eng |
language |
por eng |
dc.relation.none.fl_str_mv |
https://online.unisc.br/seer/index.php/epidemiologia/article/view/8187/5186 https://online.unisc.br/seer/index.php/epidemiologia/article/view/8187/5865 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2016 Revista de Epidemiologia e Controle de Infecção info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2016 Revista de Epidemiologia e Controle de Infecção |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Unisc |
publisher.none.fl_str_mv |
Unisc |
dc.source.none.fl_str_mv |
Revista de Epidemiologia e Controle de Infecção; v. 6 (2016): SUPLEMENTO - II Congresso Brasileiro Interdisciplinar de Promoção da Saúde; 96-107 Revista de Epidemiologia e Controle de Infecção; v. 6 (2016): SUPLEMENTO - II Congresso Brasileiro Interdisciplinar de Promoção da Saúde; 96-107 2238-3360 reponame:Revista de Epidemiologia e Controle de Infecção instname:Universidade de Santa Cruz do Sul (UNISC) instacron:UNISC |
instname_str |
Universidade de Santa Cruz do Sul (UNISC) |
instacron_str |
UNISC |
institution |
UNISC |
reponame_str |
Revista de Epidemiologia e Controle de Infecção |
collection |
Revista de Epidemiologia e Controle de Infecção |
repository.name.fl_str_mv |
Revista de Epidemiologia e Controle de Infecção - Universidade de Santa Cruz do Sul (UNISC) |
repository.mail.fl_str_mv |
||liapossuelo@unisc.br|| julia.kern@hotmail.com||reci.unisc@gmail.com |
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1800218810609827840 |