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Night Shift Work and Breast Cancer Incidence: Three Prospective Studies and Meta-analysis of Published Studies

Background: It has been proposed that night shift work could increase breast cancer incidence. A 2007 World Health Organization review concluded, mainly from animal evidence, that shift work involving circadian disruption is probably carcinogenic to humans. We therefore aimed to generate prospective...

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Autores principales: Travis, Ruth C., Balkwill, Angela, Fensom, Georgina K., Appleby, Paul N., Reeves, Gillian K., Wang, Xiao-Si, Roddam, Andrew W., Gathani, Toral, Peto, Richard, Green, Jane, Key, Timothy J., Beral, Valerie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5241898/
https://www.ncbi.nlm.nih.gov/pubmed/27758828
http://dx.doi.org/10.1093/jnci/djw169
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author Travis, Ruth C.
Balkwill, Angela
Fensom, Georgina K.
Appleby, Paul N.
Reeves, Gillian K.
Wang, Xiao-Si
Roddam, Andrew W.
Gathani, Toral
Peto, Richard
Green, Jane
Key, Timothy J.
Beral, Valerie
author_facet Travis, Ruth C.
Balkwill, Angela
Fensom, Georgina K.
Appleby, Paul N.
Reeves, Gillian K.
Wang, Xiao-Si
Roddam, Andrew W.
Gathani, Toral
Peto, Richard
Green, Jane
Key, Timothy J.
Beral, Valerie
author_sort Travis, Ruth C.
collection PubMed
description Background: It has been proposed that night shift work could increase breast cancer incidence. A 2007 World Health Organization review concluded, mainly from animal evidence, that shift work involving circadian disruption is probably carcinogenic to humans. We therefore aimed to generate prospective epidemiological evidence on night shift work and breast cancer incidence. Methods: Overall, 522 246 Million Women Study, 22 559 EPIC-Oxford, and 251 045 UK Biobank participants answered questions on shift work and were followed for incident cancer. Cox regression yielded multivariable-adjusted breast cancer incidence rate ratios (RRs) and 95% confidence intervals (CIs) for night shift work vs no night shift work, and likelihood ratio tests for interaction were used to assess heterogeneity. Our meta-analyses combined these and relative risks from the seven previously published prospective studies (1.4 million women in total), using inverse-variance weighted averages of the study-specific log RRs. Results: In the Million Women Study, EPIC-Oxford, and UK Biobank, respectively, 673, 28, and 67 women who reported night shift work developed breast cancer, and the RRs for any vs no night shift work were 1.00 (95% CI = 0.92 to 1.08), 1.07 (95% CI = 0.71 to 1.62), and 0.78 (95% CI = 0.61 to 1.00). In the Million Women Study, the RR for 20 or more years of night shift work was 1.00 (95% CI = 0.81 to 1.23), with no statistically significant heterogeneity by sleep patterns or breast cancer risk factors. Our meta-analysis of all 10 prospective studies included 4660 breast cancers in women reporting night shift work; compared with other women, the combined relative risks were 0.99 (95% CI = 0.95 to 1.03) for any night shift work, 1.01 (95% CI = 0.93 to 1.10) for 20 or more years of night shift work, and 1.00 (95% CI = 0.87 to 1.14) for 30 or more years. Conclusions: The totality of the prospective evidence shows that night shift work, including long-term shift work, has little or no effect on breast cancer incidence.
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spelling pubmed-52418982017-01-23 Night Shift Work and Breast Cancer Incidence: Three Prospective Studies and Meta-analysis of Published Studies Travis, Ruth C. Balkwill, Angela Fensom, Georgina K. Appleby, Paul N. Reeves, Gillian K. Wang, Xiao-Si Roddam, Andrew W. Gathani, Toral Peto, Richard Green, Jane Key, Timothy J. Beral, Valerie J Natl Cancer Inst Articles Background: It has been proposed that night shift work could increase breast cancer incidence. A 2007 World Health Organization review concluded, mainly from animal evidence, that shift work involving circadian disruption is probably carcinogenic to humans. We therefore aimed to generate prospective epidemiological evidence on night shift work and breast cancer incidence. Methods: Overall, 522 246 Million Women Study, 22 559 EPIC-Oxford, and 251 045 UK Biobank participants answered questions on shift work and were followed for incident cancer. Cox regression yielded multivariable-adjusted breast cancer incidence rate ratios (RRs) and 95% confidence intervals (CIs) for night shift work vs no night shift work, and likelihood ratio tests for interaction were used to assess heterogeneity. Our meta-analyses combined these and relative risks from the seven previously published prospective studies (1.4 million women in total), using inverse-variance weighted averages of the study-specific log RRs. Results: In the Million Women Study, EPIC-Oxford, and UK Biobank, respectively, 673, 28, and 67 women who reported night shift work developed breast cancer, and the RRs for any vs no night shift work were 1.00 (95% CI = 0.92 to 1.08), 1.07 (95% CI = 0.71 to 1.62), and 0.78 (95% CI = 0.61 to 1.00). In the Million Women Study, the RR for 20 or more years of night shift work was 1.00 (95% CI = 0.81 to 1.23), with no statistically significant heterogeneity by sleep patterns or breast cancer risk factors. Our meta-analysis of all 10 prospective studies included 4660 breast cancers in women reporting night shift work; compared with other women, the combined relative risks were 0.99 (95% CI = 0.95 to 1.03) for any night shift work, 1.01 (95% CI = 0.93 to 1.10) for 20 or more years of night shift work, and 1.00 (95% CI = 0.87 to 1.14) for 30 or more years. Conclusions: The totality of the prospective evidence shows that night shift work, including long-term shift work, has little or no effect on breast cancer incidence. Oxford University Press 2016-10-07 /pmc/articles/PMC5241898/ /pubmed/27758828 http://dx.doi.org/10.1093/jnci/djw169 Text en © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Travis, Ruth C.
Balkwill, Angela
Fensom, Georgina K.
Appleby, Paul N.
Reeves, Gillian K.
Wang, Xiao-Si
Roddam, Andrew W.
Gathani, Toral
Peto, Richard
Green, Jane
Key, Timothy J.
Beral, Valerie
Night Shift Work and Breast Cancer Incidence: Three Prospective Studies and Meta-analysis of Published Studies
title Night Shift Work and Breast Cancer Incidence: Three Prospective Studies and Meta-analysis of Published Studies
title_full Night Shift Work and Breast Cancer Incidence: Three Prospective Studies and Meta-analysis of Published Studies
title_fullStr Night Shift Work and Breast Cancer Incidence: Three Prospective Studies and Meta-analysis of Published Studies
title_full_unstemmed Night Shift Work and Breast Cancer Incidence: Three Prospective Studies and Meta-analysis of Published Studies
title_short Night Shift Work and Breast Cancer Incidence: Three Prospective Studies and Meta-analysis of Published Studies
title_sort night shift work and breast cancer incidence: three prospective studies and meta-analysis of published studies
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5241898/
https://www.ncbi.nlm.nih.gov/pubmed/27758828
http://dx.doi.org/10.1093/jnci/djw169
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