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Int. J. Environ. Res. Public Health 2017, 14(11), 1404; https://doi.org/10.3390/ijerph14111404

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

1
Department of Epidemiology and Quantitative Methods in Health, National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro 21041-210, Brazil
2
Department of Nutrition and Health, Federal University of Viçosa, Viçosa 36.570-000, Brazil
3
Laboratory of Health and Environment Education, Oswaldo Cruz Fundation, Rio de Janeiro 21040-900, Brazil
4
Scientific Computing Program, Oswaldo Cruz Foundation, Rio de Janeiro 21040-900, Brazil
5
Institute of Collective Health, Fluminense Federal University, Niterói 24033-900, Brazil
6
Faculty of Medicine, Federal University of Minas Gerais, Belo Horizonte 30310-100, Brazil
7
Pos graduate program in Epidemiology, Federal University of Rio Grande do Sul, Porto Alegre 90035-003, Brazil
8
Institute of Collective Health, Federal University of Bahia, Salvador 40110-040, Brazil
*
Author to whom correspondence should be addressed.
Academic Editor: Paul B. Tchounwou
Received: 28 September 2017 / Revised: 9 November 2017 / Accepted: 11 November 2017 / Published: 17 November 2017
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Abstract

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. View Full-Text
Keywords: quantile regression models; adiposity; job strain; body mass index; waist circumference quantile regression models; adiposity; job strain; body mass index; waist circumference
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Fonseca, M.J.M.; Juvanhol, L.L.; Rotenberg, L.; Nobre, A.A.; Griep, R.H.; Alves, M.G.M.; Cardoso, L.O.; Giatti, L.; Nunes, M.A.; Aquino, E.M.L.; Chor, D. Using Gamma and Quantile Regressions to Explore the Association between Job Strain and Adiposity in the ELSA-Brasil Study: Does Gender Matter? Int. J. Environ. Res. Public Health 2017, 14, 1404.

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