Using Gamma and Quantile Regressions to Explore the Association between Job Strain and Adiposity in the ELSA-Brasil Study: Does Gender Matter?
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 quest...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Maria de Jesus Mendes da Fonseca [verfasserIn] Leidjaira Lopes Juvanhol [verfasserIn] Lúcia Rotenberg [verfasserIn] Aline Araújo Nobre [verfasserIn] Rosane Härter Griep [verfasserIn] Márcia Guimarães de Mello Alves [verfasserIn] Letícia de Oliveira Cardoso [verfasserIn] Luana Giatti [verfasserIn] Maria Angélica Nunes [verfasserIn] Estela M. L. Aquino [verfasserIn] Dóra Chor [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
In: International Journal of Environmental Research and Public Health - MDPI AG, 2005, 14(2017), 11, p 1404 |
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| Übergeordnetes Werk: |
volume:14 ; year:2017 ; number:11, p 1404 |
| Links: |
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| DOI / URN: |
10.3390/ijerph14111404 |
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DOAJ012072036 |
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| 520 | |a 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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10.3390/ijerph14111404 doi (DE-627)DOAJ012072036 (DE-599)DOAJ9f571a729a9b48fb99f10351bb2b08f3 DE-627 ger DE-627 rakwb eng Maria de Jesus Mendes da Fonseca verfasserin aut Using Gamma and Quantile Regressions to Explore the Association between Job Strain and Adiposity in the ELSA-Brasil Study: Does Gender Matter? 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. quantile regression models adiposity job strain body mass index waist circumference Medicine R Leidjaira Lopes Juvanhol verfasserin aut Lúcia Rotenberg verfasserin aut Aline Araújo Nobre verfasserin aut Rosane Härter Griep verfasserin aut Márcia Guimarães de Mello Alves verfasserin aut Letícia de Oliveira Cardoso verfasserin aut Luana Giatti verfasserin aut Maria Angélica Nunes verfasserin aut Estela M. L. Aquino verfasserin aut Dóra Chor verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 14(2017), 11, p 1404 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:14 year:2017 number:11, p 1404 https://doi.org/10.3390/ijerph14111404 kostenfrei https://doaj.org/article/9f571a729a9b48fb99f10351bb2b08f3 kostenfrei https://www.mdpi.com/1660-4601/14/11/1404 kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2017 11, p 1404 |
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10.3390/ijerph14111404 doi (DE-627)DOAJ012072036 (DE-599)DOAJ9f571a729a9b48fb99f10351bb2b08f3 DE-627 ger DE-627 rakwb eng Maria de Jesus Mendes da Fonseca verfasserin aut Using Gamma and Quantile Regressions to Explore the Association between Job Strain and Adiposity in the ELSA-Brasil Study: Does Gender Matter? 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. quantile regression models adiposity job strain body mass index waist circumference Medicine R Leidjaira Lopes Juvanhol verfasserin aut Lúcia Rotenberg verfasserin aut Aline Araújo Nobre verfasserin aut Rosane Härter Griep verfasserin aut Márcia Guimarães de Mello Alves verfasserin aut Letícia de Oliveira Cardoso verfasserin aut Luana Giatti verfasserin aut Maria Angélica Nunes verfasserin aut Estela M. L. Aquino verfasserin aut Dóra Chor verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 14(2017), 11, p 1404 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:14 year:2017 number:11, p 1404 https://doi.org/10.3390/ijerph14111404 kostenfrei https://doaj.org/article/9f571a729a9b48fb99f10351bb2b08f3 kostenfrei https://www.mdpi.com/1660-4601/14/11/1404 kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2017 11, p 1404 |
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10.3390/ijerph14111404 doi (DE-627)DOAJ012072036 (DE-599)DOAJ9f571a729a9b48fb99f10351bb2b08f3 DE-627 ger DE-627 rakwb eng Maria de Jesus Mendes da Fonseca verfasserin aut Using Gamma and Quantile Regressions to Explore the Association between Job Strain and Adiposity in the ELSA-Brasil Study: Does Gender Matter? 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. quantile regression models adiposity job strain body mass index waist circumference Medicine R Leidjaira Lopes Juvanhol verfasserin aut Lúcia Rotenberg verfasserin aut Aline Araújo Nobre verfasserin aut Rosane Härter Griep verfasserin aut Márcia Guimarães de Mello Alves verfasserin aut Letícia de Oliveira Cardoso verfasserin aut Luana Giatti verfasserin aut Maria Angélica Nunes verfasserin aut Estela M. L. Aquino verfasserin aut Dóra Chor verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 14(2017), 11, p 1404 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:14 year:2017 number:11, p 1404 https://doi.org/10.3390/ijerph14111404 kostenfrei https://doaj.org/article/9f571a729a9b48fb99f10351bb2b08f3 kostenfrei https://www.mdpi.com/1660-4601/14/11/1404 kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2017 11, p 1404 |
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10.3390/ijerph14111404 doi (DE-627)DOAJ012072036 (DE-599)DOAJ9f571a729a9b48fb99f10351bb2b08f3 DE-627 ger DE-627 rakwb eng Maria de Jesus Mendes da Fonseca verfasserin aut Using Gamma and Quantile Regressions to Explore the Association between Job Strain and Adiposity in the ELSA-Brasil Study: Does Gender Matter? 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. quantile regression models adiposity job strain body mass index waist circumference Medicine R Leidjaira Lopes Juvanhol verfasserin aut Lúcia Rotenberg verfasserin aut Aline Araújo Nobre verfasserin aut Rosane Härter Griep verfasserin aut Márcia Guimarães de Mello Alves verfasserin aut Letícia de Oliveira Cardoso verfasserin aut Luana Giatti verfasserin aut Maria Angélica Nunes verfasserin aut Estela M. L. Aquino verfasserin aut Dóra Chor verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 14(2017), 11, p 1404 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:14 year:2017 number:11, p 1404 https://doi.org/10.3390/ijerph14111404 kostenfrei https://doaj.org/article/9f571a729a9b48fb99f10351bb2b08f3 kostenfrei https://www.mdpi.com/1660-4601/14/11/1404 kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2017 11, p 1404 |
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10.3390/ijerph14111404 doi (DE-627)DOAJ012072036 (DE-599)DOAJ9f571a729a9b48fb99f10351bb2b08f3 DE-627 ger DE-627 rakwb eng Maria de Jesus Mendes da Fonseca verfasserin aut Using Gamma and Quantile Regressions to Explore the Association between Job Strain and Adiposity in the ELSA-Brasil Study: Does Gender Matter? 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. quantile regression models adiposity job strain body mass index waist circumference Medicine R Leidjaira Lopes Juvanhol verfasserin aut Lúcia Rotenberg verfasserin aut Aline Araújo Nobre verfasserin aut Rosane Härter Griep verfasserin aut Márcia Guimarães de Mello Alves verfasserin aut Letícia de Oliveira Cardoso verfasserin aut Luana Giatti verfasserin aut Maria Angélica Nunes verfasserin aut Estela M. L. Aquino verfasserin aut Dóra Chor verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 14(2017), 11, p 1404 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:14 year:2017 number:11, p 1404 https://doi.org/10.3390/ijerph14111404 kostenfrei https://doaj.org/article/9f571a729a9b48fb99f10351bb2b08f3 kostenfrei https://www.mdpi.com/1660-4601/14/11/1404 kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 14 2017 11, p 1404 |
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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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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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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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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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