Using Gamma and Quantile Regressions to Explore the Association between Job Strain and Adiposity in the ELSA-Brasil Study: Does Gender Matter?

Detalhes bibliográficos
Autor(a) principal: Fonseca, Maria de Jesus Mendes da
Data de Publicação: 2017
Outros Autores: Juvanhol, Leidjaira Lopes, Nobre, Aline Araújo, Griep, Rosane Harter, Alves, Márcia Guimarães de Mello, Cardoso, Letícia de Oliveira, Giatti, Luana, Nunes, Maria Angélica, Aquino, Estela Maria Motta Lima Leão de, Chor, Dóra
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FIOCRUZ (ARCA)
Texto Completo: https://www.arca.fiocruz.br/handle/icict/25189
Resumo: Fundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sergio Arouca. Departamento de Epidemiologia e Métodos Quantitativos em Saúde. Rio de Janeiro, RJ, Brasil.
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spelling Fonseca, Maria de Jesus Mendes daJuvanhol, Leidjaira LopesNobre, Aline AraújoGriep, Rosane HarterAlves, Márcia Guimarães de MelloCardoso, Letícia de OliveiraGiatti, LuanaNunes, Maria AngélicaAquino, Estela Maria Motta Lima Leão deChor, Dóra2018-03-08T13:12:47Z2018-03-08T13:12:47Z2017FONSECA, Maria de Jesus Mendes da et al. Using Gamma and Quantile Regressions to Explore the Association between Job Strain and Adiposity in the ELSA-Brasil Study: Does Gender Matter? International Journal of Environmental Research and Public Health, v. 14, 1404, p. 1-13, 2017.1661-7827https://www.arca.fiocruz.br/handle/icict/2518910.3390/ijerph141114041660-4601engMDPIAdiposidadeÍndice de Massa CorporalCircunferência da CinturaModelos de regressão quantileEsforço laboralquantile regression modelsadiposityjob strainbody mass indexwaist circumferenceUsing Gamma and Quantile Regressions to Explore the Association between Job Strain and Adiposity in the ELSA-Brasil Study: Does Gender Matter?info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleFundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sergio Arouca. Departamento de Epidemiologia e Métodos Quantitativos em Saúde. Rio de Janeiro, RJ, Brasil.Universidade Federal de Viçosa. Departamento de Nutrição e Saúde. Viçosa, MG, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Educação em Ambiente e Saúde. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Presidência. Programa de Computação Científica. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Educação em Ambiente e Saúde. Rio de Janeiro, RJ, Brasil.Universidade Federal Fluminense. Instituto de Saúde Coletiva. Niterói, RJ, BrasilFundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sergio Arouca. Departamento de Epidemiologia e Métodos Quantitativos em Saúde. Rio de Janeiro, RJ, Brasil.Universidade Federal de Minas Gerais. Faculdade de Medicina. Belo Horizonte, MG, Brasil.Universidade Federal do Rio Grande do Sul. Escola de Medicina. Programa de Pós-Graduação em Epidemiologia. Porto Alegre, RS, Brasil.Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sergio Arouca. Departamento de Epidemiologia e Métodos Quantitativos em Saúde. Rio de Janeiro, RJ, Brasil.This paper explores the association between job strain and adiposity, using two statistical analysis approaches and considering the role of gender. The research evaluated 11,960 active baseline participants (2008-2010) in the ELSA-Brasil study. Job strain was evaluated through a demand-control questionnaire, while body mass index (BMI) and waist circumference (WC) were evaluated in continuous form. The associations were estimated using gamma regression models with an identity link function. Quantile regression models were also estimated from the final set of co-variables established by gamma regression. The relationship that was found varied by analytical approach and gender. Among the women, no association was observed between job strain and adiposity in the fitted gamma models. In the quantile models, a pattern of increasing effects of high strain was observed at higher BMI and WC distribution quantiles. Among the men, high strain was associated with adiposity in the gamma regression models. However, when quantile regression was used, that association was found not to be homogeneous across outcome distributions. In addition, in the quantile models an association was observed between active jobs and BMI. Our results point to an association between job strain and adiposity, which follows a heterogeneous pattern. Modelling strategies can produce different results and should, accordingly, be used to complement one another.info:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-82991https://www.arca.fiocruz.br/bitstream/icict/25189/1/license.txt5a560609d32a3863062d77ff32785d58MD51ORIGINALrosane_harter_etal_IOC_2017.pdfrosane_harter_etal_IOC_2017.pdfapplication/pdf1239654https://www.arca.fiocruz.br/bitstream/icict/25189/2/rosane_harter_etal_IOC_2017.pdf0a29fe16338a725db14fa5532f431815MD52TEXTrosane_harter_etal_IOC_2017.pdf.txtrosane_harter_etal_IOC_2017.pdf.txtExtracted texttext/plain46168https://www.arca.fiocruz.br/bitstream/icict/25189/3/rosane_harter_etal_IOC_2017.pdf.txtfd3e57f6051808cfa839dc0b2b1f2de9MD53icict/251892023-04-11 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dc.title.en.fl_str_mv Using Gamma and Quantile Regressions to Explore the Association between Job Strain and Adiposity in the ELSA-Brasil Study: Does Gender Matter?
title Using Gamma and Quantile Regressions to Explore the Association between Job Strain and Adiposity in the ELSA-Brasil Study: Does Gender Matter?
spellingShingle Using Gamma and Quantile Regressions to Explore the Association between Job Strain and Adiposity in the ELSA-Brasil Study: Does Gender Matter?
Fonseca, Maria de Jesus Mendes da
Adiposidade
Índice de Massa Corporal
Circunferência da Cintura
Modelos de regressão quantile
Esforço laboral
quantile regression models
adiposity
job strain
body mass index
waist circumference
title_short Using Gamma and Quantile Regressions to Explore the Association between Job Strain and Adiposity in the ELSA-Brasil Study: Does Gender Matter?
title_full Using Gamma and Quantile Regressions to Explore the Association between Job Strain and Adiposity in the ELSA-Brasil Study: Does Gender Matter?
title_fullStr Using Gamma and Quantile Regressions to Explore the Association between Job Strain and Adiposity in the ELSA-Brasil Study: Does Gender Matter?
title_full_unstemmed Using Gamma and Quantile Regressions to Explore the Association between Job Strain and Adiposity in the ELSA-Brasil Study: Does Gender Matter?
title_sort Using Gamma and Quantile Regressions to Explore the Association between Job Strain and Adiposity in the ELSA-Brasil Study: Does Gender Matter?
author Fonseca, Maria de Jesus Mendes da
author_facet Fonseca, Maria de Jesus Mendes da
Juvanhol, Leidjaira Lopes
Nobre, Aline Araújo
Griep, Rosane Harter
Alves, Márcia Guimarães de Mello
Cardoso, Letícia de Oliveira
Giatti, Luana
Nunes, Maria Angélica
Aquino, Estela Maria Motta Lima Leão de
Chor, Dóra
author_role author
author2 Juvanhol, Leidjaira Lopes
Nobre, Aline Araújo
Griep, Rosane Harter
Alves, Márcia Guimarães de Mello
Cardoso, Letícia de Oliveira
Giatti, Luana
Nunes, Maria Angélica
Aquino, Estela Maria Motta Lima Leão de
Chor, Dóra
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Fonseca, Maria de Jesus Mendes da
Juvanhol, Leidjaira Lopes
Nobre, Aline Araújo
Griep, Rosane Harter
Alves, Márcia Guimarães de Mello
Cardoso, Letícia de Oliveira
Giatti, Luana
Nunes, Maria Angélica
Aquino, Estela Maria Motta Lima Leão de
Chor, Dóra
dc.subject.other.pt_BR.fl_str_mv Adiposidade
Índice de Massa Corporal
Circunferência da Cintura
Modelos de regressão quantile
Esforço laboral
topic Adiposidade
Índice de Massa Corporal
Circunferência da Cintura
Modelos de regressão quantile
Esforço laboral
quantile regression models
adiposity
job strain
body mass index
waist circumference
dc.subject.en.pt_BR.fl_str_mv quantile regression models
adiposity
job strain
body mass index
waist circumference
description Fundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sergio Arouca. Departamento de Epidemiologia e Métodos Quantitativos em Saúde. Rio de Janeiro, RJ, Brasil.
publishDate 2017
dc.date.issued.fl_str_mv 2017
dc.date.accessioned.fl_str_mv 2018-03-08T13:12:47Z
dc.date.available.fl_str_mv 2018-03-08T13:12:47Z
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 FONSECA, Maria de Jesus Mendes da et al. Using Gamma and Quantile Regressions to Explore the Association between Job Strain and Adiposity in the ELSA-Brasil Study: Does Gender Matter? International Journal of Environmental Research and Public Health, v. 14, 1404, p. 1-13, 2017.
dc.identifier.uri.fl_str_mv https://www.arca.fiocruz.br/handle/icict/25189
dc.identifier.issn.pt_BR.fl_str_mv 1661-7827
dc.identifier.doi.none.fl_str_mv 10.3390/ijerph14111404
dc.identifier.eissn.none.fl_str_mv 1660-4601
identifier_str_mv FONSECA, Maria de Jesus Mendes da et al. Using Gamma and Quantile Regressions to Explore the Association between Job Strain and Adiposity in the ELSA-Brasil Study: Does Gender Matter? International Journal of Environmental Research and Public Health, v. 14, 1404, p. 1-13, 2017.
1661-7827
10.3390/ijerph14111404
1660-4601
url https://www.arca.fiocruz.br/handle/icict/25189
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
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