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Risk of lung cancer in relation to various metrics of smoking history: a case-control study in Montreal
BACKGROUND: Few epidemiologic findings are as well established as the association between smoking and lung cancer. It is therefore somewhat surprising that there is not yet a clear consensus about the exposure-response relationships between various metrics of smoking and lung cancer risk. In part th...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6299933/ https://www.ncbi.nlm.nih.gov/pubmed/30567516 http://dx.doi.org/10.1186/s12885-018-5144-5 |
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author | Remen, T. Pintos, J. Abrahamowicz, M. Siemiatycki, J. |
author_facet | Remen, T. Pintos, J. Abrahamowicz, M. Siemiatycki, J. |
author_sort | Remen, T. |
collection | PubMed |
description | BACKGROUND: Few epidemiologic findings are as well established as the association between smoking and lung cancer. It is therefore somewhat surprising that there is not yet a clear consensus about the exposure-response relationships between various metrics of smoking and lung cancer risk. In part this is due to heterogeneity of how exposure-response results have been presented and the relative paucity of published results using any particular metric of exposure. The purposes of this study are: to provide new data on smoking-lung cancer associations and to explore the relative impact of different dimensions of smoking history on lung cancer risk. METHODS: Based on a large lung cancer case-control study (1203 cases and 1513 controls) conducted in Montreal in 1996–2000, we estimated the lifetime prevalence of smoking and odds ratios in relation to several smoking metrics, both categorical and continuous based on multivariable unconditional logistic regression. RESULTS: Odds ratios (ORs) for ever vs never smoking were 7.82 among males and 11.76 among females. ORs increased sharply with every metric of smoking examined, more so for duration than for daily intensity. In models using continuous smoking variables, all metrics had strong effects on OR and mutual adjustment among smoking metrics did not noticeably attenuate the OR estimates, indicating that each metric carries some independent risk-related information. Among all the models tested, the one based on a smoking index that integrates several smoking dimensions, provided the best fitting model. Similar patterns were observed for the different histologic types of lung cancer. CONCLUSIONS: This study provides many estimates of exposure-response relationships between smoking and lung cancer; these can be used in future meta-analyses. Irrespective of the histologic type of lung cancer and the smoking metric examined, high levels of smoking led to high levels of risk, for both men and women. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-018-5144-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6299933 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62999332018-12-20 Risk of lung cancer in relation to various metrics of smoking history: a case-control study in Montreal Remen, T. Pintos, J. Abrahamowicz, M. Siemiatycki, J. BMC Cancer Research Article BACKGROUND: Few epidemiologic findings are as well established as the association between smoking and lung cancer. It is therefore somewhat surprising that there is not yet a clear consensus about the exposure-response relationships between various metrics of smoking and lung cancer risk. In part this is due to heterogeneity of how exposure-response results have been presented and the relative paucity of published results using any particular metric of exposure. The purposes of this study are: to provide new data on smoking-lung cancer associations and to explore the relative impact of different dimensions of smoking history on lung cancer risk. METHODS: Based on a large lung cancer case-control study (1203 cases and 1513 controls) conducted in Montreal in 1996–2000, we estimated the lifetime prevalence of smoking and odds ratios in relation to several smoking metrics, both categorical and continuous based on multivariable unconditional logistic regression. RESULTS: Odds ratios (ORs) for ever vs never smoking were 7.82 among males and 11.76 among females. ORs increased sharply with every metric of smoking examined, more so for duration than for daily intensity. In models using continuous smoking variables, all metrics had strong effects on OR and mutual adjustment among smoking metrics did not noticeably attenuate the OR estimates, indicating that each metric carries some independent risk-related information. Among all the models tested, the one based on a smoking index that integrates several smoking dimensions, provided the best fitting model. Similar patterns were observed for the different histologic types of lung cancer. CONCLUSIONS: This study provides many estimates of exposure-response relationships between smoking and lung cancer; these can be used in future meta-analyses. Irrespective of the histologic type of lung cancer and the smoking metric examined, high levels of smoking led to high levels of risk, for both men and women. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-018-5144-5) contains supplementary material, which is available to authorized users. BioMed Central 2018-12-19 /pmc/articles/PMC6299933/ /pubmed/30567516 http://dx.doi.org/10.1186/s12885-018-5144-5 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Remen, T. Pintos, J. Abrahamowicz, M. Siemiatycki, J. Risk of lung cancer in relation to various metrics of smoking history: a case-control study in Montreal |
title | Risk of lung cancer in relation to various metrics of smoking history: a case-control study in Montreal |
title_full | Risk of lung cancer in relation to various metrics of smoking history: a case-control study in Montreal |
title_fullStr | Risk of lung cancer in relation to various metrics of smoking history: a case-control study in Montreal |
title_full_unstemmed | Risk of lung cancer in relation to various metrics of smoking history: a case-control study in Montreal |
title_short | Risk of lung cancer in relation to various metrics of smoking history: a case-control study in Montreal |
title_sort | risk of lung cancer in relation to various metrics of smoking history: a case-control study in montreal |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6299933/ https://www.ncbi.nlm.nih.gov/pubmed/30567516 http://dx.doi.org/10.1186/s12885-018-5144-5 |
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