Using gamma and quantile regressions to explore the association between job strain and adiposity in the elsa-brasil study: does gender matter?

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dc.creatorMaria Fonseca
dc.creatorEstela Aquino
dc.creatorDóra Chor
dc.creatorLeidjaira Juvanhol
dc.creatorLúcia Rotenberg
dc.creatorAline Nobre
dc.creatorRosane Griep
dc.creatorMárcia Alves
dc.creatorLetícia Cardoso
dc.creatorLuana Giatti Gonçalves
dc.creatorMaria Nunes
dc.date.accessioned2023-09-28T20:55:52Z
dc.date.accessioned2025-09-08T22:55:00Z
dc.date.available2023-09-28T20:55:52Z
dc.date.issued2017-11-17
dc.format.mimetypepdf
dc.identifier.doi10.3390/ijerph14111404
dc.identifier.issn16604601
dc.identifier.urihttps://hdl.handle.net/1843/59009
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofInternational Journal of Environmental Research and Public Health
dc.rightsAcesso Aberto
dc.subjectAdiposity
dc.subjectBody Mass Index
dc.subjectWaist Circumference
dc.subject.otherQuantile regression models
dc.subject.otherAdiposity
dc.subject.otherJob strain
dc.subject.otherBody Mass Index
dc.subject.otherWaist Circumference
dc.titleUsing gamma and quantile regressions to explore the association between job strain and adiposity in the elsa-brasil study: does gender matter?
dc.typeArtigo de periódico
local.citation.epage13
local.citation.issue1404
local.citation.spage1
local.citation.volume14
local.description.resumoThis 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.
local.publisher.countryBrasil
local.publisher.departmentMED - DEPARTAMENTO DE MEDICINA PREVENTIVA SOCIAL
local.publisher.initialsUFMG
local.url.externahttps://pubmed.ncbi.nlm.nih.gov/29149021/

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