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: Maria Fonseca
Data de Publicação: 2017
Outros Autores: Estela Aquino, Dóra Chor, Leidjaira Juvanhol, Lúcia Rotenberg, Aline Nobre, Rosane Griep, Márcia Alves, Letícia Cardoso, Luana Giatti Gonçalves, Maria Nunes
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFMG
Texto Completo: http://hdl.handle.net/1843/59009
Resumo: 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.
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spelling Using gamma and quantile regressions to explore the association between job strain and adiposity in the elsa-brasil study: does gender matter?Quantile regression modelsAdiposityJob strainBody Mass IndexWaist CircumferenceAdiposityBody Mass IndexWaist CircumferenceThis 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.Universidade Federal de Minas GeraisBrasilMED - DEPARTAMENTO DE MEDICINA PREVENTIVA SOCIALUFMG2023-09-28T20:55:52Z2023-09-28T20:55:52Z2017-11-17info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlepdfapplication/pdf10.3390/ijerph1411140416604601http://hdl.handle.net/1843/59009engInternational Journal of Environmental Research and Public HealthMaria FonsecaEstela AquinoDóra ChorLeidjaira JuvanholLúcia RotenbergAline NobreRosane GriepMárcia AlvesLetícia CardosoLuana Giatti GonçalvesMaria Nunesinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMG2023-10-02T20:35:29Zoai:repositorio.ufmg.br:1843/59009Repositório InstitucionalPUBhttps://repositorio.ufmg.br/oairepositorio@ufmg.bropendoar:2023-10-02T20:35:29Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false
dc.title.none.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?
Maria Fonseca
Quantile regression models
Adiposity
Job strain
Body Mass Index
Waist Circumference
Adiposity
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 Maria Fonseca
author_facet Maria Fonseca
Estela Aquino
Dóra Chor
Leidjaira Juvanhol
Lúcia Rotenberg
Aline Nobre
Rosane Griep
Márcia Alves
Letícia Cardoso
Luana Giatti Gonçalves
Maria Nunes
author_role author
author2 Estela Aquino
Dóra Chor
Leidjaira Juvanhol
Lúcia Rotenberg
Aline Nobre
Rosane Griep
Márcia Alves
Letícia Cardoso
Luana Giatti Gonçalves
Maria Nunes
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Maria Fonseca
Estela Aquino
Dóra Chor
Leidjaira Juvanhol
Lúcia Rotenberg
Aline Nobre
Rosane Griep
Márcia Alves
Letícia Cardoso
Luana Giatti Gonçalves
Maria Nunes
dc.subject.por.fl_str_mv Quantile regression models
Adiposity
Job strain
Body Mass Index
Waist Circumference
Adiposity
Body Mass Index
Waist Circumference
topic Quantile regression models
Adiposity
Job strain
Body Mass Index
Waist Circumference
Adiposity
Body Mass Index
Waist Circumference
description 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.
publishDate 2017
dc.date.none.fl_str_mv 2017-11-17
2023-09-28T20:55:52Z
2023-09-28T20:55:52Z
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.uri.fl_str_mv 10.3390/ijerph14111404
16604601
http://hdl.handle.net/1843/59009
identifier_str_mv 10.3390/ijerph14111404
16604601
url http://hdl.handle.net/1843/59009
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv International Journal of Environmental Research and Public Health
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv pdf
application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Minas Gerais
Brasil
MED - DEPARTAMENTO DE MEDICINA PREVENTIVA SOCIAL
UFMG
publisher.none.fl_str_mv Universidade Federal de Minas Gerais
Brasil
MED - DEPARTAMENTO DE MEDICINA PREVENTIVA SOCIAL
UFMG
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFMG
instname:Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
instname_str Universidade Federal de Minas Gerais (UFMG)
instacron_str UFMG
institution UFMG
reponame_str Repositório Institucional da UFMG
collection Repositório Institucional da UFMG
repository.name.fl_str_mv Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)
repository.mail.fl_str_mv repositorio@ufmg.br
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