dc.contributor.author | Gallo, V | en_US |
dc.contributor.author | Mackenbach, JP | en_US |
dc.contributor.author | Ezzati, M | en_US |
dc.contributor.author | Menvielle, G | en_US |
dc.contributor.author | Kunst, AE | en_US |
dc.contributor.author | Rohrmann, S | en_US |
dc.contributor.author | Kaaks, R | en_US |
dc.contributor.author | Teucher, B | en_US |
dc.contributor.author | Boeing, H | en_US |
dc.contributor.author | Bergmann, MM | en_US |
dc.contributor.author | Tjonneland, A | en_US |
dc.contributor.author | Dalton, SO | en_US |
dc.contributor.author | Overvad, K | en_US |
dc.contributor.author | Redondo, ML | en_US |
dc.contributor.author | Agudo, A | en_US |
dc.contributor.author | Daponte, A | en_US |
dc.contributor.author | Arriola, L | en_US |
dc.contributor.author | Navarro, C | en_US |
dc.contributor.author | Gurrea, AB | en_US |
dc.contributor.author | Khaw, KT | en_US |
dc.contributor.author | Wareham, N | en_US |
dc.contributor.author | Key, T | en_US |
dc.contributor.author | Naska, A | en_US |
dc.contributor.author | Trichopoulou, A | en_US |
dc.contributor.author | Trichopoulos, D | en_US |
dc.contributor.author | Masala, G | en_US |
dc.contributor.author | Panico, S | en_US |
dc.contributor.author | Contiero, P | en_US |
dc.contributor.author | Tumino, R | en_US |
dc.contributor.author | Bueno-de-Mesquita, HB | en_US |
dc.contributor.author | Siersema, PD | en_US |
dc.contributor.author | Peeters, PP | en_US |
dc.contributor.author | Zackrisson, S | en_US |
dc.contributor.author | Almquist, M | en_US |
dc.contributor.author | Eriksson, S | en_US |
dc.contributor.author | Hallmans, G | en_US |
dc.contributor.author | Skeie, G | en_US |
dc.contributor.author | Braaten, T | en_US |
dc.contributor.author | Lund, E | en_US |
dc.contributor.author | Illner, AK | en_US |
dc.contributor.author | Mouw, T | en_US |
dc.contributor.author | Riboli, E | en_US |
dc.contributor.author | Vineis, P | en_US |
dc.date.accessioned | 2014-01-24T10:40:07Z | |
dc.date.issued | 2012 | en_US |
dc.identifier.issn | 1932-6203 | en_US |
dc.identifier.uri | http://qmro.qmul.ac.uk/xmlui/handle/123456789/5365 | |
dc.description | This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. | |
dc.description | Gallo, Valentina Mackenbach, Johan P Ezzati, Majid Menvielle, Gwenn Kunst, Anton E Rohrmann, Sabine Kaaks, Rudolf Teucher, Birgit Boeing, Heiner Bergmann, Manuela M Tjonneland, Anne Dalton, Susanne O Overvad, Kim Redondo, Maria-Luisa Agudo, Antonio Daponte, Antonio Arriola, Larraitz Navarro, Carmen Gurrea, Aurelio Barricante Khaw, Kay-Tee Wareham, Nick Key, Tim Naska, Androniki Trichopoulou, Antonia Trichopoulos, Dimitrios Masala, Giovanna Panico, Salvatore Contiero, Paolo Tumino, Rosario Bueno-de-Mesquita, H Bas Siersema, Peter D Peeters, Petra P Zackrisson, Sophia Almquist, Martin Eriksson, Sture Hallmans, Goran Skeie, Guri Braaten, Tonje Lund, Eiliv Illner, Anne-Kathrin Mouw, Traci Riboli, Elio Vineis, Paolo British Heart Foundation/United Kingdom Cancer Research UK/United Kingdom Department of Health/United Kingdom Medical Research Council/United Kingdom Wellcome Trust/United Kingdom PLoS One. 2012;7(7):e39013. doi: 10.1371/journal.pone.0039013. Epub 2012 Jul 25. BACKGROUND: Socio-economic inequalities in mortality are observed at the country level in both North America and Europe. The purpose of this work is to investigate the contribution of specific risk factors to social inequalities in cause-specific mortality using a large multi-country cohort of Europeans. METHODS: A total of 3,456,689 person/years follow-up of the European Prospective Investigation into Cancer and Nutrition (EPIC) was analysed. Educational level of subjects coming from 9 European countries was recorded as proxy for socio-economic status (SES). Cox proportional hazard model's with a step-wise inclusion of explanatory variables were used to explore the association between SES and mortality; a Relative Index of Inequality (RII) was calculated as measure of relative inequality. RESULTS: Total mortality among men with the highest education level is reduced by 43% compared to men with the lowest (HR 0.57, 95% C.I. 0.52-0.61); among women by 29% (HR 0.71, 95% C.I. 0.64-0.78). The risk reduction was attenuated by 7% in men and 3% in women by the introduction of smoking and to a lesser extent (2% in men and 3% in women) by introducing body mass index and additional explanatory variables (alcohol consumption, leisure physical activity, fruit and vegetable intake) (3% in men and 5% in women). Social inequalities were highly statistically significant for all causes of death examined in men. In women, social inequalities were less strong, but statistically significant for all causes of death except for cancer-related mortality and injuries. DISCUSSION: In this European study, substantial social inequalities in mortality among European men and women which cannot be fully explained away by accounting for known common risk factors for chronic diseases are reported. | |
dc.description | Gallo, Valentina Mackenbach, Johan P Ezzati, Majid Menvielle, Gwenn Kunst, Anton E Rohrmann, Sabine Kaaks, Rudolf Teucher, Birgit Boeing, Heiner Bergmann, Manuela M Tjonneland, Anne Dalton, Susanne O Overvad, Kim Redondo, Maria-Luisa Agudo, Antonio Daponte, Antonio Arriola, Larraitz Navarro, Carmen Gurrea, Aurelio Barricante Khaw, Kay-Tee Wareham, Nick Key, Tim Naska, Androniki Trichopoulou, Antonia Trichopoulos, Dimitrios Masala, Giovanna Panico, Salvatore Contiero, Paolo Tumino, Rosario Bueno-de-Mesquita, H Bas Siersema, Peter D Peeters, Petra P Zackrisson, Sophia Almquist, Martin Eriksson, Sture Hallmans, Goran Skeie, Guri Braaten, Tonje Lund, Eiliv Illner, Anne-Kathrin Mouw, Traci Riboli, Elio Vineis, Paolo British Heart Foundation/United Kingdom Cancer Research UK/United Kingdom Department of Health/United Kingdom Medical Research Council/United Kingdom Wellcome Trust/United Kingdom PLoS One. 2012;7(7):e39013. doi: 10.1371/journal.pone.0039013. Epub 2012 Jul 25. BACKGROUND: Socio-economic inequalities in mortality are observed at the country level in both North America and Europe. The purpose of this work is to investigate the contribution of specific risk factors to social inequalities in cause-specific mortality using a large multi-country cohort of Europeans. METHODS: A total of 3,456,689 person/years follow-up of the European Prospective Investigation into Cancer and Nutrition (EPIC) was analysed. Educational level of subjects coming from 9 European countries was recorded as proxy for socio-economic status (SES). Cox proportional hazard model's with a step-wise inclusion of explanatory variables were used to explore the association between SES and mortality; a Relative Index of Inequality (RII) was calculated as measure of relative inequality. RESULTS: Total mortality among men with the highest education level is reduced by 43% compared to men with the lowest (HR 0.57, 95% C.I. 0.52-0.61); among women by 29% (HR 0.71, 95% C.I. 0.64-0.78). The risk reduction was attenuated by 7% in men and 3% in women by the introduction of smoking and to a lesser extent (2% in men and 3% in women) by introducing body mass index and additional explanatory variables (alcohol consumption, leisure physical activity, fruit and vegetable intake) (3% in men and 5% in women). Social inequalities were highly statistically significant for all causes of death examined in men. In women, social inequalities were less strong, but statistically significant for all causes of death except for cancer-related mortality and injuries. DISCUSSION: In this European study, substantial social inequalities in mortality among European men and women which cannot be fully explained away by accounting for known common risk factors for chronic diseases are reported. | |
dc.description | Gallo, Valentina Mackenbach, Johan P Ezzati, Majid Menvielle, Gwenn Kunst, Anton E Rohrmann, Sabine Kaaks, Rudolf Teucher, Birgit Boeing, Heiner Bergmann, Manuela M Tjonneland, Anne Dalton, Susanne O Overvad, Kim Redondo, Maria-Luisa Agudo, Antonio Daponte, Antonio Arriola, Larraitz Navarro, Carmen Gurrea, Aurelio Barricante Khaw, Kay-Tee Wareham, Nick Key, Tim Naska, Androniki Trichopoulou, Antonia Trichopoulos, Dimitrios Masala, Giovanna Panico, Salvatore Contiero, Paolo Tumino, Rosario Bueno-de-Mesquita, H Bas Siersema, Peter D Peeters, Petra P Zackrisson, Sophia Almquist, Martin Eriksson, Sture Hallmans, Goran Skeie, Guri Braaten, Tonje Lund, Eiliv Illner, Anne-Kathrin Mouw, Traci Riboli, Elio Vineis, Paolo British Heart Foundation/United Kingdom Cancer Research UK/United Kingdom Department of Health/United Kingdom Medical Research Council/United Kingdom Wellcome Trust/United Kingdom PLoS One. 2012;7(7):e39013. doi: 10.1371/journal.pone.0039013. Epub 2012 Jul 25. BACKGROUND: Socio-economic inequalities in mortality are observed at the country level in both North America and Europe. The purpose of this work is to investigate the contribution of specific risk factors to social inequalities in cause-specific mortality using a large multi-country cohort of Europeans. METHODS: A total of 3,456,689 person/years follow-up of the European Prospective Investigation into Cancer and Nutrition (EPIC) was analysed. Educational level of subjects coming from 9 European countries was recorded as proxy for socio-economic status (SES). Cox proportional hazard model's with a step-wise inclusion of explanatory variables were used to explore the association between SES and mortality; a Relative Index of Inequality (RII) was calculated as measure of relative inequality. RESULTS: Total mortality among men with the highest education level is reduced by 43% compared to men with the lowest (HR 0.57, 95% C.I. 0.52-0.61); among women by 29% (HR 0.71, 95% C.I. 0.64-0.78). The risk reduction was attenuated by 7% in men and 3% in women by the introduction of smoking and to a lesser extent (2% in men and 3% in women) by introducing body mass index and additional explanatory variables (alcohol consumption, leisure physical activity, fruit and vegetable intake) (3% in men and 5% in women). Social inequalities were highly statistically significant for all causes of death examined in men. In women, social inequalities were less strong, but statistically significant for all causes of death except for cancer-related mortality and injuries. DISCUSSION: In this European study, substantial social inequalities in mortality among European men and women which cannot be fully explained away by accounting for known common risk factors for chronic diseases are reported. | en_US |
dc.description.abstract | BACKGROUND: Socio-economic inequalities in mortality are observed at the country level in both North America and Europe. The purpose of this work is to investigate the contribution of specific risk factors to social inequalities in cause-specific mortality using a large multi-country cohort of Europeans. METHODS: A total of 3,456,689 person/years follow-up of the European Prospective Investigation into Cancer and Nutrition (EPIC) was analysed. Educational level of subjects coming from 9 European countries was recorded as proxy for socio-economic status (SES). Cox proportional hazard model's with a step-wise inclusion of explanatory variables were used to explore the association between SES and mortality; a Relative Index of Inequality (RII) was calculated as measure of relative inequality. RESULTS: Total mortality among men with the highest education level is reduced by 43% compared to men with the lowest (HR 0.57, 95% C.I. 0.52-0.61); among women by 29% (HR 0.71, 95% C.I. 0.64-0.78). The risk reduction was attenuated by 7% in men and 3% in women by the introduction of smoking and to a lesser extent (2% in men and 3% in women) by introducing body mass index and additional explanatory variables (alcohol consumption, leisure physical activity, fruit and vegetable intake) (3% in men and 5% in women). Social inequalities were highly statistically significant for all causes of death examined in men. In women, social inequalities were less strong, but statistically significant for all causes of death except for cancer-related mortality and injuries. DISCUSSION: In this European study, substantial social inequalities in mortality among European men and women which cannot be fully explained away by accounting for known common risk factors for chronic diseases are reported. | en_US |
dc.format.extent | e39013 - ? | en_US |
dc.format.medium | 7 | |
dc.format.medium | 7 | |
dc.format.medium | 7 | en_US |
dc.relation.ispartof | PLoS One | en_US |
dc.title | Social inequalities and mortality in Europe--results from a large multi-national cohort | en_US |
dc.type | Article | |
dc.identifier.doi | 10.1371/journal.pone.0039013 | en_US |
pubs.author-url | http://www.ncbi.nlm.nih.gov/pubmed/22848347 | en_US |
pubs.issue | 7 | en_US |
pubs.notes | Not known | en_US |
pubs.publication-status | Published | en_US |
pubs.volume | 7 | en_US |