Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Remen, T., Pintos, J., Abrahamowicz, M., Siemiatycki, J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
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
_version_ 1783381589491712000
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
work_keys_str_mv AT rement riskoflungcancerinrelationtovariousmetricsofsmokinghistoryacasecontrolstudyinmontreal
AT pintosj riskoflungcancerinrelationtovariousmetricsofsmokinghistoryacasecontrolstudyinmontreal
AT abrahamowiczm riskoflungcancerinrelationtovariousmetricsofsmokinghistoryacasecontrolstudyinmontreal
AT siemiatyckij riskoflungcancerinrelationtovariousmetricsofsmokinghistoryacasecontrolstudyinmontreal